Publications on computer science and technology - SCIENCE CHINA Information Sciences

人工智能(53) 大数据(10) 生物信息(5) 图形图像(58) 计算机理论(5) 高性能计算(19) 信息安全(19) 社会媒体(2) 软件(20)

人工智能(53)

Highly Cited in 202409 Hot Paper RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 95

Unsupervised feature selection via multiple graph fusion and feature weight learning
Tang, Chang; Zheng, Xiao; Zhang, Wei; Liu, Xinwang; Zhu, Xinzhong; Zhu, En
Sci China Inf Sci, 2023, 66(5): 152101

Keywords: unsupervised feature selection; graph fusion; feature weight learning; local structure preservation

Cite as: Tang C, Zheng X, Zhang W, et al. Unsupervised feature selection via multiple graph fusion and feature weight learning. Sci China Inf Sci, 2023, 66(5): 152101, doi: 10.1007/s11432-022-3579-1

REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 42

Toward the third generation artificial intelligence
Zhang, Bo; Zhu, Jun; Su, Hang
Sci China Inf Sci, 2023, 66(2): 121101

Keywords: artificial intelligence; symbolism; connectionism; dual-space model; single-space model; triple-space model

Cite as: Zhang B, Zhu J, Su H. Toward the third generation artificial intelligence. Sci China Inf Sci, 2023, 66(2): 121101, doi: 10.1007/s11432-021-3449-x

Highly Cited in 202409 REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 19

A survey on model-based reinforcement learning
Luo, Fan-Ming; Xu, Tian; Lai, Hang; Chen, Xiong-Hui; Zhang, Weinan; Yu, Yang
Sci China Inf Sci, 2024, 67(2): 121101

Keywords: reinforcement learning; model-based reinforcement learning; planning; model learning; model learning with reduced error; model usage

Cite as: Luo F-M, Xu T, Lai H, et al. A survey on model-based reinforcement learning. Sci China Inf Sci, 2024, 67(2): 121101, doi: 10.1007/s11432-022-3696-5

NEWS & VIEWS Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 18

PyCIL: a Python toolbox for class-incremental learning
Zhou, Da-Wei; Wang, Fu-Yun; Ye, Han-Jia; Zhan, De-Chuan
Sci China Inf Sci, 2023, 66(9): 197101

Keywords: class-incremental learning; lifelong learning; continual learning; Learnware; open environment; catastrophic forgetting; model reuse

Cite as: Zhou D-W, Wang F-Y, Ye H-J, et al. PyCIL: a Python toolbox for class-incremental learning. Sci China Inf Sci, 2023, 66(9): 197101, doi: 10.1007/s11432-022-3600-y

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 18

Communication-efficient federated continual learning for distributed learning system with Non-IID data
Zhang, Zhao; Zhang, Yong; Guo, Da; Zhao, Shuang; Zhu, Xiaolin
Sci China Inf Sci, 2023, 66(2): 122102

Keywords: distributed learning system; federated learning; continual learning; model compression; error compensation

Cite as: Zhang Z, Zhang Y, Guo D, et al. Communication-efficient federated continual learning for distributed learning system with Non-IID data. Sci China Inf Sci, 2023, 66(2): 122102, doi: 10.1007/s11432-020-3419-4

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 12

Robust cooperative multi-agent reinforcement learning via multi-view message certification
Yuan, Lei; Jiang, Tao; Li, Lihe; Chen, Feng; Zhang, Zongzhang; Yu, Yang
Sci China Inf Sci, 2024, 67(4): 142102

Keywords: multi-agent reinforcement learning; robust communication; adversarial training; multi-view learning; message certification

Cite as: Yuan L, Jiang T, Li L H, et al. Robust cooperative multi-agent reinforcement learning via multi-view message certification. Sci China Inf Sci, 2024, 67(4): 142102, doi: 10.1007/s11432-023-3853-y

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

Learning from crowds with robust support vector machines
Yang, Wenjun; Li, Chaoqun; Jiang, Liangxiao
Sci China Inf Sci, 2023, 66(3): 132103

Keywords: vector machines crowdsourcing learning; ground truth inference; integrated labels; label noise; robust support

Cite as: Yang W J, Li C Q, Jiang L X. Learning from crowds with robust support vector machines. Sci China Inf Sci, 2023, 66(3): 132103, doi: 10.1007/s11432-020-3067-8

Special Topic: Evolutionary Learning and Optimization
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 9

An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification
Liang, Jing; Zhang, Yuyang; Chen, Ke; Qu, Boyang; Yu, Kunjie; Yue, Caitong; Suganthan, Ponnuthurai Nagaratnam
Sci China Inf Sci, 2024, 67(2): 120101

Keywords: evolutionary algorithms; feature selection; multiobjective optimization; knowledge transfer; classification

Cite as: Liang J, Zhang Y Y, Chen K, et al. An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification. Sci China Inf Sci, 2024, 67(2): 120101, doi: 10.1007/s11432-023-3864-6

Highly Cited in 202403 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 9

Learnware: small models do big
Zhou, Zhi-Hua; Tan, Zhi-Hao
Sci China Inf Sci, 2024, 67(1): 112102

Keywords: artificial intelligence; machine learning; learnware

Cite as: Zhou Z-H, Tan Z-H. Learnware: small models do big. Sci China Inf Sci, 2024, 67(1): 112102, doi: 10.1007/s11432-023-3823-6

Special Topic: Evolutionary Learning and Optimization
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

Enhancing SAEAs with unevaluated solutions: a case study of relation model for expensive optimization
Hao, Hao; Zhang, Xiaoqun; Zhou, Aimin
Sci China Inf Sci, 2024, 67(2): 120103

Keywords: expensive optimization; unevaluated solutions; relation model; surrogate-assisted evolutionary algorithm

Cite as: Hao H, Zhang X Q, Zhou A M. Enhancing SAEAs with unevaluated solutions: a case study of relation model for expensive optimization. Sci China Inf Sci, 2024, 67(2): 120103, doi: 10.1007/s11432-023-3909-x

Special Topic: Evolutionary Learning and Optimization
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer
Yang, Peng; Zhang, Laoming; Liu, Haifeng; Li, Guiying
Sci China Inf Sci, 2024, 67(2): 120102

Keywords: evolutionary reinforcement learning; evolutionary multi-objective optimization; load balance; cloud computing

Cite as: Yang P, Zhang L M, Liu H F, et al. Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer. Sci China Inf Sci, 2024, 67(2): 120102, doi: 10.1007/s11432-023-3895-3

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 5

Enhancing unsupervised domain adaptation by exploiting the conceptual consistency of multiple self-supervised tasks
Sun, Hui; Li, Ming
Sci China Inf Sci, 2023, 66(4): 142101

Keywords: deep learning; transfer learning; domain adaptation; domain shift; self-supervised

Cite as: Sun H, Li M. Enhancing unsupervised domain adaptation by exploiting the conceptual consistency of multiple self-supervised tasks. Sci China Inf Sci, 2023, 66(4): 142101, doi: 10.1007/s11432-021-3535-2

NEWS & VIEWS Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

LAMDA-SSL: a comprehensive semi-supervised learning toolkit
Jia, Lin-Han; Guo, Lan-Zhe; Zhou, Zhi; Li, Yu-Feng
Sci China Inf Sci, 2024, 67(1): 117101

Keywords: semi-supervised learning; toolkit; Python; statistical learning; deep learning

Cite as: Jia L-H, Guo L-Z, Zhou Z, et al. LAMDA-SSL: a comprehensive semi-supervised learning toolkit. Sci China Inf Sci, 2024, 67(1): 117101, doi: 10.1007/s11432-022-3804-0

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

FNNWV: farthest-nearest neighbor-based weighted voting for class-imbalanced crowdsourcing
Zhang, Wenjun; Jiang, Liangxiao; Chen, Ziqi; Li, Chaoqun
Sci China Inf Sci, 2024, 67(10): 202102

Keywords: crowdsourcing; label integration; nearest neighbor; farthest neighbor; weighted voting

Cite as: Zhang W J, Jiang L X, Chen Z Q, et al. FNNWV: farthest-nearest neighbor-based weighted voting for class-imbalanced crowdsourcing. Sci China Inf Sci, 2024, 67(10): 202102, doi: 10.1007/s11432-023-3854-7

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Multi-instance partial-label learning: towards exploiting dual inexact supervision
Tang, Wei; Zhang, Weijia; Zhang, Min-Ling
Sci China Inf Sci, 2024, 67(3): 132103

Keywords: machine learning; multi-instance partial-label learning; multi-instance learning; partial-label learning; Gaussian processes

Cite as: Tang W, Zhang W J, ZHANG M-L. Multi-instance partial-label learning: towards exploiting dual inexact supervision. Sci China Inf Sci, 2024, 67(3): 132103, doi: 10.1007/s11432-023-3771-6

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Cy-CNN: cylinder convolution based rotation-invariant neural network for point cloud registration
Zhao, Hengwang; Liang, Zhidong; He, Yuesheng; Wang, Chunxiang; Yang, Ming
Sci China Inf Sci, 2023, 66(5): 152102

Keywords: deep learning; point cloud registration; rotation invariant; computer vision

Cite as: Zhao H W, Liang Z D, He Y S, et al. Cy-CNN: cylinder convolution based rotation-invariant neural network for point cloud registration. Sci China Inf Sci, 2023, 66(5): 152102, doi: 10.1007/s11432-021-3570-5

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

State space representation and phase analysis of gradient descent optimizers
Yao, Biyuan; Li, Guiqing; Wu, Wei
Sci China Inf Sci, 2023, 66(4): 142102

Keywords: optimizer; control model; phase trajectory; parameter adjustment; classification; dynamic performance

Cite as: Yao B Y, Li G Q, Wu W. State space representation and phase analysis of gradient descent optimizers. Sci China Inf Sci, 2023, 66(4): 142102, doi: 10.1007/s11432-022-3539-8

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Design of a prediction system based on the dynamical feed-forward neural network
Guo, Xiaoxiang; Han, Weimin; Ren, Jingli
Sci China Inf Sci, 2023, 66(1): 112102

Keywords: prediction system; phase space reconstruction; topological equivalence; dynamical feed-forward neural network; integer constrained particle swarm optimization algorithm

Cite as: Guo X X, Han W M, Ren J L. Design of a prediction system based on the dynamical feed-forward neural network. Sci China Inf Sci, 2023, 66(1): 112102, doi: 10.1007/s11432-020-3402-9

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Domain generalization with semi-supervised learning for people-centric activity recognition
Liu, Jing; Zhu, Wei; Li, Di; Hu, Xing; Song, Liang
Sci China Inf Sci, 2025, 68(1): 112103

Keywords: activity recognition; deep learning; domain generalization; semi-supervised learning; adversarial training

Cite as: Liu J, Zhu W, Li D, et al. Domain generalization with semi-supervised learning for people-centric activity recognition. Sci China Inf Sci, 2025, 68(1): 112103, doi: 10.1007/s11432-022-3860-y

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

A novel graph oversampling framework for node classification in class-imbalanced graphs
Xia, Riting; Zhang, Chunxu; Zhang, Yan; Liu, Xueyan; Yang, Bo
Sci China Inf Sci, 2024, 67(6): 162101

Keywords: graph neural network; class-imbalanced graphs; sum-product network; oversampling; node classification

Cite as: Xia R T, Zhang C X, Zhang Y, et al. A novel graph oversampling framework for node classification in class-imbalanced graphs. Sci China Inf Sci, 2024, 67(6): 162101, doi: 10.1007/s11432-023-3897-2

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Understanding adversarial attacks on observations in deep reinforcement learning
You, Qiaoben; Ying, Chengyang; Zhou, Xinning; Su, Hang; Zhu, Jun; Zhang, Bo
Sci China Inf Sci, 2024, 67(5): 152104

Keywords: deep learning; reinforcement learning; adversarial robustness; adversarial attack

Cite as: Qiaoben Y, Ying C Y, Zhou X N, et al. Understanding adversarial attacks on observations in deep reinforcement learning. Sci China Inf Sci, 2024, 67(5): 152104, doi: 10.1007/s11432-021-3688-y

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

A variational hardcut EM algorithm for the mixtures of Gaussian processes
Li, Tao; Ma, Jinwen
Sci China Inf Sci, 2023, 66(3): 139103

Keywords: Gaussian processes; EM algorithm; variational inference; mixture model; nonparametric Bayesian

Cite as: Li T, Ma J W. A variational hardcut EM algorithm for the mixtures of Gaussian processes. Sci China Inf Sci, 2023, 66(3): 139103, doi: 10.1007/s11432-021-3477-3

From CAS & CAE Members
POSITION PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

NeurDB: an AI-powered autonomous data system
Ooi, Beng Chin; Cai, Shaofeng; Chen, Gang; Shen, Yanyan; Tan, Kian-Lee; Wu, Yuncheng; Xiao, Xiaokui; Xing, Naili; Yue, Cong; Zeng, Lingze; Zhang, Meihui; Zhao, Zhanhao
Sci China Inf Sci, 2024, 67(10): 200901

Keywords: AI×DB; in-database AI; intelligent data system

Cite as: Ooi B C, Cai S F, Chen G, et al. NeurDB: an AI-powered autonomous data system. Sci China Inf Sci, 2024, 67(10): 200901, doi: 10.1007/s11432-024-4125-9

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Efficient privacy-preserving federated learning under dishonest-majority setting
Miao, Yinbin; Kuang, Da; Li, Xinghua; Leng, Tao; Liu, Ximeng; Ma, Jianfeng
Sci China Inf Sci, 2024, 67(5): 159102

Keywords: Federated learning; Privacy-preserving; Model poisoning attacks; Dishonest-majority; Hanming distance

Cite as: Miao Y B, Kuang D, Li X H, et al. Efficient privacy-preserving federated learning under dishonest-majority setting. Sci China Inf Sci, 2024, 67(5): 159102, doi: 10.1007/s11432-023-3977-9

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Maximizing conditional independence for unsupervised domain adaptation
Zhai, Yiming; Ren, Chuanxian; Luo, Youwei; Dai, Daoqing
Sci China Inf Sci, 2024, 67(5): 152108

Keywords: conditional independence; kernel method; domain adaptation; class-conditioned transferring

Cite as: Zhai Y M, Ren C X, Luo Y W, et al. Maximizing conditional independence for unsupervised domain adaptation. Sci China Inf Sci, 2024, 67(5): 152108, doi: 10.1007/s11432-022-3851-1

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Learning discrete adaptive receptive fields for graph convolutional networks
Ma, Xiaojun; Li, Ziyao; Song, Guojie; Shi, Chuan
Sci China Inf Sci, 2023, 66(12): 222101

Keywords: graph neural networks; receptive field; reinforcement learning

Cite as: Ma X J, Li Z Y, Song G J, et al. Learning discrete adaptive receptive fields for graph convolutional networks. Sci China Inf Sci, 2023, 66(12): 222101, doi: 10.1007/s11432-021-3443-y

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

LINDA: multi-agent local information decomposition for awareness of teammates
Cao, Jiahan; Yuan, Lei; Wang, Jianhao; Zhang, Shaowei; Zhang, Chongjie; Yu, Yang; Zhan, De-Chuan
Sci China Inf Sci, 2023, 66(8): 182101

Keywords: multi-agent system; reinforcement learning; teammates awareness; centralized training with decentralized execution; CTDE; StarCraft II

Cite as: Cao J H, Yuan L, Wang J H, et al. LINDA: multi-agent local information decomposition for awareness of teammates. Sci China Inf Sci, 2023, 66(8): 182101, doi: 10.1007/s11432-021-3479-9

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Newton design: designing CNNs with the family of Newton's methods
Shen, Zhengyang; Yang, Yibo; She, Qi; Wang, Changhu; Ma, Jinwen; Lin, Zhouchen
Sci China Inf Sci, 2023, 66(6): 162101

Keywords: CNN; dropout; optimization method; network design; Newton’s method

Cite as: Shen Z Y, Yang Y B, She Q, et al. Newton design: designing CNNs with the family of Newton's methods. Sci China Inf Sci, 2023, 66(6): 162101, doi: 10.1007/s11432-021-3442-2

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Neural network equivalent model for highly efficient massive data classification
Yu, Siquan; Han, Zhi; Tang, Yandong; Wu, Chengdong
Sci China Inf Sci, 2023, 66(3): 139101

Keywords: neural network equivalent model; non-smooth convex optimization; generalization error; massive data classification; ADMM

Cite as: Yu S Q, Han Z, Tang Y D, et al. Neural network equivalent model for highly efficient massive data classification. Sci China Inf Sci, 2023, 66(3): 139101, doi: 10.1007/s11432-020-3113-4

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar

Pushing one pair of labels apart each time in multi-label learning: from single positive to full labels
Li X, Wang X R, Chen S C
Sci China Inf Sci, 2025, 68(6): 162102

Keywords: multi-label learning; single positive label; noisy labels; missing labels; image classification

Cite as: Li X, Wang X R, Chen S C. Pushing one pair of labels apart each time in multi-label learning: from single positive to full labels. Sci China Inf Sci, 2025, 68(6): 162102, doi: 10.1007/s11432-023-3979-9

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Explaining the better generalization of label distribution learning for classification
Wang J, Geng X
Sci China Inf Sci, 2025, 68(5): 152102

Keywords: label distribution learning; classification; generalization; label distribution margin; label ambiguity; neural network

Cite as: Wang J, Geng X. Explaining the better generalization of label distribution learning for classification. Sci China Inf Sci, 2025, 68(5): 152102, doi: 10.1007/s11432-023-3954-7

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AsyCo: an asymmetric dual-task co-training model for partial-label learning
Li B B, Zheng Y Y, Jin B H, et al
Sci China Inf Sci, 2025, 68(5): 152101

Keywords: machine learning; weakly supervised learning; partial-label learning; co-training models; candidate label sets

Cite as: Li B B, Zheng Y Y, Jin B H, et al. AsyCo: an asymmetric dual-task co-training model for partial-label learning. Sci China Inf Sci, 2025, 68(5): 152101, doi: 10.1007/s11432-023-4068-1

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar

Federated local causal structure learning
Yu K, Rong C, Wang H, et al
Sci China Inf Sci, 2025, 68(3): 132105

Keywords: local causal structure learning; federated learning; directed acyclic graph; privacy-preserving data; federated layer-wise strategy

Cite as: Yu K, Rong C, Wang H, et al. Federated local causal structure learning. Sci China Inf Sci, 2025, 68(3): 132105, doi: 10.1007/s11432-023-4203-6

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning
Fu, Sichao; Peng, Qinmu; He, Yange; Du, Baokun; Zou, Bin; Jing, Xiao-Yuan; You, Xinge
Sci China Inf Sci, 2025, 68(3): 132102

Keywords: unsupervised multiplex graph representation learning; graph neural networks; node classification; node clustering

Cite as: Fu S C, Peng Q M, He Y G, et al. Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning. Sci China Inf Sci, 2025, 68(3): 132102, doi: 10.1007/s11432-023-3939-1

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Fractal autoencoder with redundancy regularization for unsupervised feature selection
Sun M T, Li F Y, Han H G
Sci China Inf Sci, 2025, 68(2): 122103

Keywords: unsupervised feature selection; fractal autoencoder; correspondence neural network; selection neural network; redundancy regularization strategy

Cite as: Sun M T, Li F Y, Han H G. Fractal autoencoder with redundancy regularization for unsupervised feature selection. Sci China Inf Sci, 2025, 68(2): 122103, doi: 10.1007/s11432-023-4132-0

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The rise and potential of large language model based agents: a survey
Xi Z H, Chen W X, Guo X, et al
Sci China Inf Sci, 2025, 68(2): 121101

Keywords: natural language processing; large language models; LLM-based agents; AI agents; agent society

Cite as: Xi Z H, Chen W X, Guo X, et al. The rise and potential of large language model based agents: a survey. Sci China Inf Sci, 2025, 68(2): 121101, doi: 10.1007/s11432-024-4222-0

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Personalized federated few-shot node classification
Zhao Y F, He X T, Yu G X, et al
Sci China Inf Sci, 2025, 68(1): 112105

Keywords: personalized federated learning; few-shot learning; node classification; task heterogeneity; parameter decoupling; node augmentation

Cite as: Zhao Y F, He X T, Yu G X, et al. Personalized federated few-shot node classification. Sci China Inf Sci, 2025, 68(1): 112105, doi: 10.1007/s11432-024-4254-5

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Channel pruning on frequency response
Lin, Hang; Peng, Yifan; Bie, Lin; Yan, Chenggang; Zhao, Xibin; Gao, Yue
Sci China Inf Sci, 2025, 68(1): 112102

Keywords: deep learning; model compression; filter pruning; channel pruning; frequency response

Cite as: Lin H, Peng Y F, Bie L, et al. Channel pruning on frequency response. Sci China Inf Sci, 2025, 68(1): 112102, doi: 10.1007/s11432-022-3951-y

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling
Ju, Wei; Gu, Yiyang; Mao, Zhengyang; Qiao, Ziyue; Qin, Yifang; Luo, Xiao; Xiong, Hui; Zhang, Ming
Sci China Inf Sci, 2025, 68(1): 112101

Keywords: graph representation learning; graph neural networks; graph contrastive learning; graph augmentations; graph pooling

Cite as: Ju W, Gu Y Y, Mao Z Y, et al. GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling. Sci China Inf Sci, 2025, 68(1): 112101, doi: 10.1007/s11432-022-3952-3

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Multi-dimensional ability diagnosis for machine learning algorithms
Liu, Qi; Gong, Zheng; Huang, Zhenya; Liu, Chuanren; Zhu, Hengshu; Li, Zhi; Chen, Enhong; Xiong, Hui
Sci China Inf Sci, 2024, 67(12): 229101

Keywords: machine learning; cognitive diagnosis; human measurement; multi-dimensional evaluation; artificial intelligence

Cite as: Liu Q, Gong Z, Huang Z Y, et al. Multi-dimensional ability diagnosis for machine learning algorithms. Sci China Inf Sci, 2024, 67(12): 229101, doi: 10.1007/s11432-023-4239-4

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Stochastic normalized gradient descent with momentum for large-batch training
Zhao, Shen-Yi; Shi, Chang-Wei; Xie, Yin-Peng; Li, Wu-Jun
Sci China Inf Sci, 2024, 67(11): 212101

Keywords: non-convex problems; large-batch training; stochastic normalized gradient descent; momentum

Cite as: Zhao S-Y, Shi C-W, Xie Y-P, et al. Stochastic normalized gradient descent with momentum for large-batch training. Sci China Inf Sci, 2024, 67(11): 212101, doi: 10.1007/s11432-022-3892-8

POSITION PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Envisioning future deep learning theories: some basic concepts and characteristics
Su, Weijie J.
Sci China Inf Sci, 2024, 67(10): 203101

Keywords: deep learning; local elasticity; information bottleneck; implicit regularization; phenomenological model

Cite as: Su W J. Envisioning future deep learning theories: some basic concepts and characteristics. Sci China Inf Sci, 2024, 67(10): 203101, doi: 10.1007/s11432-023-4129-1

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Learning-based counterfactual explanations for recommendation
Wen, Jingxuan; Liu, Huafeng; Jing, Liping; Yu, Jian
Sci China Inf Sci, 2024, 67(8): 182102

Keywords: recommender system; explainable recommendation; item-based explanation; counterfactual inference; counterfactual explanation

Cite as: Wen J X, Liu H F, Jing L P, et al. Learning-based counterfactual explanations for recommendation. Sci China Inf Sci, 2024, 67(8): 182102, doi: 10.1007/s11432-023-3974-2

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Multi-agent policy transfer via task relationship modeling
Qin, Rongjun; Chen, Feng; Wang, Tonghan; Yuan, Lei; Wu, Xiaoran; Kang, Yipeng; Zhang, Zongzhang; Zhang, Chongjie; Yu, Yang
Sci China Inf Sci, 2024, 67(8): 182101

Keywords: multi-agent reinforcement learning; cooperative transfer learning; task relationship modeling; multi-agent policy reuse; multi-agent multi-task learning

Cite as: Qin R J, Chen F, Wang T H, et al. Multi-agent policy transfer via task relationship modeling. Sci China Inf Sci, 2024, 67(8): 182101, doi: 10.1007/s11432-023-3862-1

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Re-quantization based binary graph neural networks
Yao, Kai-Lang; Li, Wu-Jun
Sci China Inf Sci, 2024, 67(7): 172101

Keywords: graph neural networks; binary neural networks; mixture of experts; computation-efficient algorithms

Cite as: Yao K-L, Li W-J. Re-quantization based binary graph neural networks. Sci China Inf Sci, 2024, 67(7): 172101, doi: 10.1007/s11432-022-3850-0

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Learning in games: a systematic review
Qin, Rong-Jun; Yu, Yang
Sci China Inf Sci, 2024, 67(7): 171101

Keywords: non-cooperative games; learning in games; no-regret learning; reinforcement learning; superhuman AI

Cite as: Qin R-J, Yu Y. Learning in games: a systematic review. Sci China Inf Sci, 2024, 67(7): 171101, doi: 10.1007/s11432-023-3955-x

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Perception field based imitation learning for unlabeled multi-agent pathfinding
Chu, Wenjie; Yu, Ailun; Zhang, Wei; Zhao, Haiyan; Jin, Zhi
Sci China Inf Sci, 2024, 67(5): 152107

Keywords: unlabeled multi-agent pathfinding; perception field; triplet cross-attention; multi-agent imitation learning; learning-based planning

Cite as: Chu W J, Yu A L, Zhang W, et al. Perception field based imitation learning for unlabeled multi-agent pathfinding. Sci China Inf Sci, 2024, 67(5): 152107, doi: 10.1007/s11432-022-3666-2

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Granger causal representation learning for groups of time series
Cai, Ruichu; Wu, Yunjin; Huang, Xiaokai; Chen, Wei; Fu, Tom Z. J.; Hao, Zhifeng
Sci China Inf Sci, 2024, 67(5): 152103

Keywords: Granger causal discovery; Granger causal representation learning; time series data; recurrent neural network; multiset canonical correlation analysis

Cite as: Cai R C, Wu Y J, Huang X K, et al. Granger causal representation learning for groups of time series. Sci China Inf Sci, 2024, 67(5): 152103, doi: 10.1007/s11432-021-3724-0

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Adversarial data splitting for domain generalization
Gu, Xiang; Sun, Jian; Xu, Zongben
Sci China Inf Sci, 2024, 67(5): 152101

Keywords: domain generalization; adversarial learning; data splitting; meta-learning; out of distribution

Cite as: Gu X, Sun J, Xu Z B. Adversarial data splitting for domain generalization. Sci China Inf Sci, 2024, 67(5): 152101, doi: 10.1007/s11432-022-3857-5

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Distinct but correct: generating diversified and entity-revised medical response
Li, Bin; Sun, Bin; Li, Shutao; Chen, Encheng; Liu, Hongru; Weng, Yixuan; Bai, Yongping; Hu, Meiling
Sci China Inf Sci, 2024, 67(3): 132106

Keywords: medical entity prediction; ent-mac post pre-training strategy; entity-aware fusion medical dialogue generation; encoding fusion mechanism; entity-revised diverse beam search

Cite as: Li B, Sun B, Li S T, et al. Distinct but correct: generating diversified and entity-revised medical response. Sci China Inf Sci, 2024, 67(3): 132106, doi: 10.1007/s11432-021-3534-9

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Optimization-inspired manual architecture design and neural architecture search
Yang, Yibo; Shen, Zhengyang; Li, Huan; Lin, Zhouchen
Sci China Inf Sci, 2023, 66(11): 212101

Keywords: deep neural network; manual architecture design; neural architecture search; image recognition; optimization algorithms; learning-based optimization

Cite as: Yang Y B, Shen Z Y, Li H, et al. Optimization-inspired manual architecture design and neural architecture search. Sci China Inf Sci, 2023, 66(11): 212101, doi: 10.1007/s11432-021-3527-7

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A convergence algorithm for graph co-regularized transfer learning
Yang, Zuyuan; Liang, Naiyao; Li, Zhenni; Xie, Shengli
Sci China Inf Sci, 2023, 66(3): 132104

Keywords: transfer learning; convergence analysis; non-negative matrix factorization; multiplicative update algorithm; optimization

Cite as: Yang Z Y, Liang N Y, Li Z N, et al. A convergence algorithm for graph co-regularized transfer learning. Sci China Inf Sci, 2023, 66(3): 132104, doi: 10.1007/s11432-020-3526-4

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Abductive subconcept learning
Han, Zhongyi; Cai, Le-Wen; Dai, Wang-Zhou; Huang, Yu-Xuan; Wei, Benzheng; Wang, Wei; Yin, Yilong
Sci China Inf Sci, 2023, 66(2): 122103

Keywords: abductive learning; subconcept learning; logical reasoning; subconcept set selection; meta-interpretive learning

Cite as: Han Z Y, Cai L-W, Dai W-Z, et al. Abductive subconcept learning. Sci China Inf Sci, 2023, 66(2): 122103, doi: 10.1007/s11432-020-3569-0

大数据(10)

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation
Shao, Yunfan; Geng, Zhichao; Liu, Yitao; Dai, Junqi; Yan, Hang; Yang, Fei; Li, Zhe; Bao, Hujun; Qiu, Xipeng
Sci China Inf Sci, 2024, 67(5): 152102

Keywords: pre-trained model; transformer; language model; generation; unified model

Cite as: Shao Y F, Geng Z C, Liu Y T, et al. CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation. Sci China Inf Sci, 2024, 67(5): 152102, doi: 10.1007/s11432-021-3536-5

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Understanding and improving fairness in cognitive diagnosis
Zhang, Zheng; Wu, Le; Liu, Qi; Liu, Jiayu; Huang, Zhenya; Yin, Yu; Zhuang, Yan; Gao, Weibo; Chen, Enhong
Sci China Inf Sci, 2024, 67(5): 152106

Keywords: fairness; intelligent education; cognitive diagnosis; psychometrics; adversarial learning

Cite as: Zhang Z, Wu L, Liu Q, et al. Understanding and improving fairness in cognitive diagnosis. Sci China Inf Sci, 2024, 67(5): 152106, doi: 10.1007/s11432-022-3852-0

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Residual diverse ensemble for long-tailed multi-label text classification
Shi, Jiangxin; Wei, Tong; Li, Yufeng
Sci China Inf Sci, 2024, 67(11): 212102

Keywords: multi-label learning; extreme multi-label learning; long-tailed distribution; multi-label text classification; ensemble learning

Cite as: Shi J X, Wei T, Li Y F. Residual diverse ensemble for long-tailed multi-label text classification. Sci China Inf Sci, 2024, 67(11): 212102, doi: 10.1007/s11432-022-3915-6

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Span-based joint entity and relation extraction augmented with sequence tagging mechanism
Ji, Bin; Li, Shasha; Xu, Hao; Yu, Jie; Ma, Jun; Liu, Huijun; Yang, Jing
Sci China Inf Sci, 2024, 67(5): 152105

Keywords: joint extraction; named entity recognition; relation extraction; span; sequence tagging mechanism

Cite as: Ji B, Li S S, Xu H, et al. Span-based joint entity and relation extraction augmented with sequence tagging mechanism. Sci China Inf Sci, 2024, 67(5): 152105, doi: 10.1007/s11432-022-3608-y

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Towards few-shot mixed-type dialogue generation
Liu Z M, Wang H F, Lei Z Y, et al
Sci China Inf Sci, 2025, 68(2): 122105

Keywords: mixed-type dialogue; dialogue generation; PLATO-prompt; Mixed-FS; few-shot

Cite as: Liu Z M, Wang H F, Lei Z Y, et al. Towards few-shot mixed-type dialogue generation. Sci China Inf Sci, 2025, 68(2): 122105, doi: 10.1007/s11432-023-4069-x

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RE-SEGNN: recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting
Cai W Y, Li M F, Shi X H, et al
Sci China Inf Sci, 2025, 68(2): 122104

Keywords: knowledge graph reasoning; temporal knowledge graph; Hawkes process; semantic evidence

Cite as: Cai W Y, Li M F, Shi X H, et al. RE-SEGNN: recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting. Sci China Inf Sci, 2025, 68(2): 122104, doi: 10.1007/s11432-023-4073-y

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

PS-CoT-Adapter: adapting plan-and-solve chain-of-thought for ScienceQA
Li, Qun; Sun, Haixin; Xiao, Fu; Wang, Yiming; Gao, Xinping; Bhanu, Bir
Sci China Inf Sci, 2025, 68(1): 119101

Keywords: chain of thought; semantic adapter; large language models; ScienceQA; plan-and-solve

Cite as: Li Q, Sun H X, Xiao F, et al. PS-CoT-Adapter: adapting plan-and-solve chain-of-thought for ScienceQA. Sci China Inf Sci, 2025, 68(1): 119101, doi: 10.1007/s11432-024-4211-9

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Unveiling factuality and injecting knowledge for LLMs via reinforcement learning and data proportion
Ke, Wenjun; Shang, Ziyu; Luo, Zhizhao; Wang, Peng; Guo, Yikai; Liu, Qi; Chen, Yuxuan
Sci China Inf Sci, 2024, 67(10): 209101

Keywords: large language models; knowledge graph; factuality detection; knowledge injection; data proportion

Cite as: Ke W J, Shang Z Y, Luo Z Z, et al. Unveiling factuality and injecting knowledge for LLMs via reinforcement learning and data proportion. Sci China Inf Sci, 2024, 67(10): 209101, doi: 10.1007/s11432-024-4158-4

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EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation
Liu, Yingjian; Li, Jiang; Wang, Xiaoping; Zeng, Zhigang
Sci China Inf Sci, 2024, 67(8): 182103

Keywords: emotion recognition in conversation; emotional inertia and contagion; multi-head attention; gated recurrent unit; conditional random field

Cite as: Liu Y J, Li J, Wang X P, et al. EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation. Sci China Inf Sci, 2024, 67(8): 182103, doi: 10.1007/s11432-023-3908-6

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Memory-enhanced text style transfer with dynamic style learning and calibration
Lin, Fuqiang; Song, Yiping; Tian, Zhiliang; Chen, Wangqun; Dong, Diwen; Liu, Bo
Sci China Inf Sci, 2024, 67(4): 142105

Keywords: style transfer; memory-enhanced method; text generation; deep learning; text representation

Cite as: Lin F Q, Song Y P, Tian Z L, et al. Memory-enhanced text style transfer with dynamic style learning and calibration. Sci China Inf Sci, 2024, 67(4): 142105, doi: 10.1007/s11432-022-3726-0

生物信息(5)

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

BioKG-CMI: a multi-source feature fusion model based on biological knowledge graph for predicting circRNA-miRNA interactions
Wei, Mengmeng; Wang, Lei; Li, Yang; Li, Zhengwei; Zhao, Bowei; Su, Xiaorui; Wei, Yu; You, Zhuhong
Sci China Inf Sci, 2024, 67(8): 189104

Keywords: circRNA-miRNA interaction; biological knowledge graph; subcellular localization; multi-source feature fusion; natural language processing

Cite as: Wei M M, Wang L, Li Y, et al. BioKG-CMI: a multi-source feature fusion model based on biological knowledge graph for predicting circRNA-miRNA interactions. Sci China Inf Sci, 2024, 67(8): 189104, doi: 10.1007/s11432-024-4098-3

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

SBSM-Pro: support bio-sequence machine for proteins
Wang, Yizheng; Zhai, Yixiao; Ding, Yijie; Zou, Quan
Sci China Inf Sci, 2024, 67(11): 212106

Keywords: protein classification; machine learning; multiple kernel learning; sequence alignment

Cite as: Wang Y Z, Zhai Y X, Ding Y J, et al. SBSM-Pro: support bio-sequence machine for proteins. Sci China Inf Sci, 2024, 67(11): 212106, doi: 10.1007/s11432-024-4171-9

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Integrating sequence and graph information for enhanced drug-target affinity prediction
He, Haohuai; Chen, Guanxing; Chen, Calvin Yu-Chian
Sci China Inf Sci, 2024, 67(2): 129101

Keywords: drug-target affinity; hybrid graph neural network; adaptive features; explainability; catalytic triad

Cite as: He H H, Chen G X, Chen C Y-C. Integrating sequence and graph information for enhanced drug-target affinity prediction. Sci China Inf Sci, 2024, 67(2): 129101, doi: 10.1007/s11432-022-3793-7

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning
Yan, Ke; Lv, Hongwu; Shao, Jiangyi; Chen, Shutao; Liu, Bin
Sci China Inf Sci, 2024, 67(11): 212105

Keywords: therapeutic peptide prediction; multi-label classification; pretrained protein language model; multi-label supervised contrastive learning

Cite as: Yan K, Lv H W, Shao J Y, et al. TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning. Sci China Inf Sci, 2024, 67(11): 212105, doi: 10.1007/s11432-024-4147-8

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Multiple types of disease-associated RNAs identification for disease prognosis and therapy using heterogeneous graph learning
Zhang, Wenxiang; Wei, Hang; Zhang, Wenjing; Wu, Hao; Liu, Bin
Sci China Inf Sci, 2024, 67(8): 189103

Keywords: heterogeneous graph learning; multiple types of disease-associated RNA identification; disease prognosis and therapy; systematic pathogenesis analysis; hepatocellular carcinoma

Cite as: Zhang W X, Wei H, Zhang W J, et al. Multiple types of disease-associated RNAs identification for disease prognosis and therapy using heterogeneous graph learning. Sci China Inf Sci, 2024, 67(8): 189103, doi: 10.1007/s11432-024-4100-7

图形图像(58)

Highly Cited in 202409 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 56

Class attention network for image recognition
Cheng, Gong; Lai, Pujian; Gao, Decheng; Han, Junwei
Sci China Inf Sci, 2023, 66(3): 132105

Keywords: visual attention; class-specific attention encoding; class attention network; dictionary learning

Cite as: Cheng G, Lai P J, Gao D C, et al. Class attention network for image recognition. Sci China Inf Sci, 2023, 66(3): 132105, doi: 10.1007/s11432-021-3493-7

Highly Cited in 202409 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 39

Fewer is more: efficient object detection in large aerial images
Xie, Xingxing; Cheng, Gong; Li, Qingyang; Miao, Shicheng; Li, Ke; Han, Junwei
Sci China Inf Sci, 2024, 67(1): 112106

Keywords: efficient object detection; large aerial images; objectness activation network

Cite as: Xie X X, Cheng G, Li Q Y, et al. Fewer is more: efficient object detection in large aerial images. Sci China Inf Sci, 2024, 67(1): 112106, doi: 10.1007/s11432-022-3718-5

PERSPECTIVE Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 22

SAM struggles in concealed scenes - empirical study on Segment Anything
Ji, Ge-Peng; Fan, Deng-Ping; Xu, Peng; Zhou, Bowen; Cheng, Ming-Ming; Van Gool, Luc
Sci China Inf Sci, 2023, 66(12): 226101

Keywords: Segment Anything; SAM; Camouflaged; Concealed Scene Understanding; Concealed Object Segmentation

Cite as: Ji G-P, Fan D-P, Xu P, et al. SAM struggles in concealed scenes - empirical study on Segment Anything. Sci China Inf Sci, 2023, 66(12): 226101, doi: 10.1007/s11432-023-3881-x

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 15

A unified pruning framework for vision transformers
Yu, Hao; Wu, Jianxin
Sci China Inf Sci, 2023, 66(7): 179101

Keywords: vision transformer; structural pruning; image classification; object detection; language modeling

Cite as: Yu H, Wu J X. A unified pruning framework for vision transformers. Sci China Inf Sci, 2023, 66(7): 179101, doi: 10.1007/s11432-022-3646-6

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

ViGT: proposal-free video grounding with a learnable token in the transformer
Li, Kun; Guo, Dan; Wang, Meng
Sci China Inf Sci, 2023, 66(10): 202102

Keywords: video grounding; temporal sentence grounding; boundary regression; token learning; proposal-free

Cite as: Li K, Guo D, Wang M. ViGT: proposal-free video grounding with a learnable token in the transformer. Sci China Inf Sci, 2023, 66(10): 202102, doi: 10.1007/s11432-022-3783-3

REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

Survey on leveraging pre-trained generative adversarial networks for image editing and restoration
Liu, Ming; Wei, Yuxiang; Wu, Xiaohe; Zuo, Wangmeng; Zhang, Lei
Sci China Inf Sci, 2023, 66(5): 151101

Keywords: survey; generative adversarial networks; pre-trained models; image editing; image restoration

Cite as: Liu M, Wei Y X, Wu X H, et al. Survey on leveraging pre-trained generative adversarial networks for image editing and restoration. Sci China Inf Sci, 2023, 66(5): 151101, doi: 10.1007/s11432-022-3679-0

Special Topic: Deep Learning for Computer Vision (2023)
SCIS Selected Articles on Deep Learning for Computer Vision (DLCV)
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 9

Sparse spatial transformers for few-shot learning
Chen, Haoxing; Li, Huaxiong; Li, Yaohui; Chen, Chunlin
Sci China Inf Sci, 2023, 66(11): 210102

Keywords: few-shot learning; transformer; metric-learning; cross-attention

Cite as: Chen H X, Li H X, Li Y H, et al. Sparse spatial transformers for few-shot learning. Sci China Inf Sci, 2023, 66(11): 210102, doi: 10.1007/s11432-022-3700-8

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 7

Augmented FCN: rethinking context modeling for semantic segmentation
Zhang, Dong; Zhang, Liyan; Tang, Jinhui
Sci China Inf Sci, 2023, 66(4): 142105

Keywords: semantic segmentation; context modeling; long-range dependencies; attention mechanism

Cite as: Zhang D, Zhang L Y, Tang J H. Augmented FCN: rethinking context modeling for semantic segmentation. Sci China Inf Sci, 2023, 66(4): 142105, doi: 10.1007/s11432-021-3590-1

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On learning the right attention point for feature enhancement
Lin, Liqiang; Huang, Pengdi; Fu, Chi-Wing; Xu, Kai; Zhang, Hao; Huang, Hui
Sci China Inf Sci, 2023, 66(1): 112107

Keywords: point convolution; feature enhancement; attention point; deep neural network

Cite as: Lin L Q, Huang P D, Fu C-W, et al. On learning the right attention point for feature enhancement. Sci China Inf Sci, 2023, 66(1): 112107, doi: 10.1007/s11432-021-3431-9

A meaningful learning method for zero-shot semantic segmentation
Liu, Xianglong; Bai, Shihao; An, Shan; Wang, Shuo; Liu, Wei; Zhao, Xiaowei; Ma, Yuqing
Sci China Inf Sci, 2023, 66(11): 210103

Keywords: meaningful learning; zero-shot learning; semantic segmentation; conjugate conceptual correlation; fast-slow conceptual modulator

Cite as: Liu X L, Bai S H, An S, et al. A meaningful learning method for zero-shot semantic segmentation. Sci China Inf Sci, 2023, 66(11): 210103, doi: 10.1007/s11432-022-3748-5

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

Siamese transformer with hierarchical concept embedding for fine-grained image recognition
Lyu, Yilin; Jing, Liping; Wang, Jiaqi; Guo, Mingzhe; Wang, Xinyue; Yu, Jian
Sci China Inf Sci, 2023, 66(3): 132107

Keywords: fine-grained image recognition; transformer; hierarchical concept embedding; adaptive sampling; Siamese network

Cite as: Lyu Y L, Jing L P, Wang J Q, et al. Siamese transformer with hierarchical concept embedding for fine-grained image recognition. Sci China Inf Sci, 2023, 66(3): 132107, doi: 10.1007/s11432-022-3586-y

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

Deep graph learning for spatially-varying indoor lighting prediction
Bai, Jiayang; Guo, Jie; Wang, Chenchen; Chen, Zhenyu; He, Zhen; Yang, Shan; Yu, Piaopiao; Zhang, Yan; Guo, Yanwen
Sci China Inf Sci, 2023, 66(3): 132106

Keywords: lighting; graph learning; augmented reality; spherical Gaussians; rendering

Cite as: Bai J Y, Guo J, Wang C C, et al. Deep graph learning for spatially-varying indoor lighting prediction. Sci China Inf Sci, 2023, 66(3): 132106, doi: 10.1007/s11432-022-3576-9

Confidence-weighted mutual supervision on dual networks for unsupervised cross-modality image segmentation
Chen, Yajie; Yang, Xin; Bai, Xiang
Sci China Inf Sci, 2023, 66(11): 210104

Keywords: domain adaptation; pseudo label; mutual supervision; cross-modality; image segmentation

Cite as: Chen Y J, Yang X, Bai X. Confidence-weighted mutual supervision on dual networks for unsupervised cross-modality image segmentation. Sci China Inf Sci, 2023, 66(11): 210104, doi: 10.1007/s11432-022-3871-0

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Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network
Wu, Jie; Cong, Runmin; Fang, Leyuan; Guo, Chunle; Zhang, Bob; Ghamisi, Pedram
Sci China Inf Sci, 2023, 66(1): 119105

Keywords: deep learning; remote sensing images; super-resolution; unpaired training; weak supervision

Cite as: Wu J, Cong R M, Fang L Y, et al. Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network. Sci China Inf Sci, 2023, 66(1): 119105, doi: 10.1007/s11432-021-3575-1

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RGB oralscan video-based orthodontic treatment monitoring
Tian, Yan; Fu, Hanshi; Wang, Hao; Liu, Yuqi; Xu, Zhaocheng; Chen, Hong; Li, Jianyuan; Wang, Ruili
Sci China Inf Sci, 2024, 67(1): 112107

Keywords: digital dentistry; object 6D pose estimation; deep learning; computer vision

Cite as: Tian Y, Fu H S, Wang H, et al. RGB oralscan video-based orthodontic treatment monitoring. Sci China Inf Sci, 2024, 67(1): 112107, doi: 10.1007/s11432-023-3847-x

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TinyDet: accurately detecting small objects within 1 GFLOPs
Chen, Shaoyu; Cheng, Tianheng; Fang, Jiemin; Zhang, Qian; Li, Yuan; Liu, Wenyu; Wang, Xinggang
Sci China Inf Sci, 2023, 66(1): 119102

Keywords: small object detection; lightweight networ; generic object detection; Tiny AI; high resolution

Cite as: Chen S Y, Cheng T H, Fang J M, et al. TinyDet: accurately detecting small objects within 1 GFLOPs. Sci China Inf Sci, 2023, 66(1): 119102, doi: 10.1007/s11432-021-3504-4

An end-to-end network for co-saliency detection in one single image
Yue, Yuanhao; Zou, Qin; Yu, Hongkai; Wang, Qian; Wang, Zhongyuan; Wang, Song
Sci China Inf Sci, 2023, 66(11): 210101

Keywords: saliency detection; convolutional neural network; regional feature mapping; co-saliency detection; deep learning

Cite as: Yue Y H, Zou Q, Yu H K, et al. An end-to-end network for co-saliency detection in one single image. Sci China Inf Sci, 2023, 66(11): 210101, doi: 10.1007/s11432-022-3686-1

MOOP Supplementary Video Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

ASPPR: active single-image piecewise planar 3D reconstruction based on geometric priors
Wang, Wei; Dong, Qiulei; Hu, Zhanyi
Sci China Inf Sci, 2023, 66(7): 174101

Keywords: single-image reconstruction; geometric prior; user interaction; multi-plane optimization; convolutional neural network

Cite as: Wang W, Dong Q L, Hu Z Y. ASPPR: active single-image piecewise planar 3D reconstruction based on geometric priors. Sci China Inf Sci, 2023, 66(7): 174101, doi: 10.1007/s11432-022-3631-6

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification
Du, Lei; Wang, Huiai; Zhang, Jin; Zhang, Shu; Guo, Lei; Han, Junwei
Sci China Inf Sci, 2023, 66(4): 142106

Keywords: multimodal brain imaging correlation; sparse multiview canonical correlation analysis; task imbalance; adaptive loss balancing; graph-group penalty

Cite as: Du L, Wang H A, Zhang J, et al. Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification. Sci China Inf Sci, 2023, 66(4): 142106, doi: 10.1007/s11432-021-3589-5

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Rethinking attribute localization for zero-shot learning
Chen, Shuhuang; Chen, Shiming; Xie, Guo-Sen; Shu, Xiangbo; You, Xinge; Li, Xuelong
Sci China Inf Sci, 2024, 67(7): 172103

Keywords: zero-shot learning; attention mechanism; attribute localization; image classification

Cite as: Chen S H, Chen S M, Xie G-S, et al. Rethinking attribute localization for zero-shot learning. Sci China Inf Sci, 2024, 67(7): 172103, doi: 10.1007/s11432-023-4051-9

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Hybrid3D: learning 3D hybrid features with point clouds and multi-view images for point cloud registration
Yang, Bangbang; Huang, Zhaoyang; Li, Yijin; Zhou, Han; Li, Hongsheng; Zhang, Guofeng; Bao, Hujun
Sci China Inf Sci, 2023, 66(7): 172101

Keywords: point cloud registration; cross-modal feature fusion; multi-view feature fusion; computer vision; deep learning

Cite as: Yang B B, Huang Z Y, Li Y J, et al. Hybrid3D: learning 3D hybrid features with point clouds and multi-view images for point cloud registration. Sci China Inf Sci, 2023, 66(7): 172101, doi: 10.1007/s11432-022-3604-6

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Improving pseudo-labeling with reliable inter-camera distance encouragement for unsupervised person re-identification
Chen, Yiyu; Fan, Zheyi; Chen, Shuni; Zhu, Yixuan
Sci China Inf Sci, 2023, 66(5): 152103

Keywords: person re-identification; noise label; camera variation; clustering; deep learning

Cite as: Chen Y Y, Fan Z Y, Chen S N, et al. Improving pseudo-labeling with reliable inter-camera distance encouragement for unsupervised person re-identification. Sci China Inf Sci, 2023, 66(5): 152103, doi: 10.1007/s11432-022-3628-y

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Reflectance edge guided networks for detail-preserving intrinsic image decomposition
Li, Quewei; Guo, Jie; Wu, Zhengyi; Fei, Yang; Guo, Yanwen
Sci China Inf Sci, 2023, 66(2): 122105

Keywords: intrinsic image decomposition; detail-preserving; reflectance edges

Cite as: Li Q W, Guo J, Wu Z Y, et al. Reflectance edge guided networks for detail-preserving intrinsic image decomposition. Sci China Inf Sci, 2023, 66(2): 122105, doi: 10.1007/s11432-021-3481-3

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Model-guided 3D stitching for augmented virtual environment
Zhou, Zhong; Meng, Ming; Zhou, Yi; Zhu, Zhe; You, Jingdi
Sci China Inf Sci, 2023, 66(1): 112106

Keywords: 3D stitching; video model; multiple video visualization; augmented virtual environment

Cite as: Zhou Z, Meng M, Zhou Y, et al. Model-guided 3D stitching for augmented virtual environment. Sci China Inf Sci, 2023, 66(1): 112106, doi: 10.1007/s11432-021-3323-2

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SAM3D: zero-shot 3D object detection via the segment anything model
Zhang, Dingyuan; Liang, Dingkang; Yang, Hongcheng; Zou, Zhikang; Ye, Xiaoqing; Liu, Zhe; Bai, Xiang
Sci China Inf Sci, 2024, 67(4): 149101

Keywords: Zero-shot 3D Object Detection; Foundation Model; Segment Anything Model; BEV Perception; Segmentation

Cite as: Zhang D Y, Liang D K, Yang H C, et al. SAM3D: zero-shot 3D object detection via the segment anything model. Sci China Inf Sci, 2024, 67(4): 149101, doi: 10.1007/s11432-023-3943-6

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Retrieval-and-alignment based large-scale indoor point cloud semantic segmentation
Xu, Zongyi; Huang, Xiaoshui; Yuan, Bo; Wang, Yangfu; Zhang, Qianni; Li, Weisheng; Gao, Xinbo
Sci China Inf Sci, 2024, 67(4): 142104

Keywords: point cloud semantic segmentation; large-scale indoor point clouds; point cloud alignment; overlap estimation; label transfer

Cite as: Xu Z Y, Huang X S, Yuan B, et al. Retrieval-and-alignment based large-scale indoor point cloud semantic segmentation. Sci China Inf Sci, 2024, 67(4): 142104, doi: 10.1007/s11432-022-3928-x

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Scene text recognition via dual character counting-aware visual and semantic modeling network
Xiao, Ke; Zhu, Anna; Iwana, Brian Kenji; Liu, Cheng-Lin
Sci China Inf Sci, 2024, 67(3): 139101

Keywords: scene text recognition; language model; document analysis; deep learning; attention mechanism

Cite as: Xiao K, Zhu A N, K Iwana B K, et al. Scene text recognition via dual character counting-aware visual and semantic modeling network. Sci China Inf Sci, 2024, 67(3): 139101, doi: 10.1007/s11432-023-3935-8

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NeuralReshaper: single-image human-body retouching with deep neural networks
Chen, Beijia; Shen, Yuefan; Fu, Hongbo; Chen, Xiang; Zhou, Kun; Zheng, Youyi
Sci China Inf Sci, 2023, 66(9): 199101

Keywords: image manipulation; human-body reshaping; deep neural networks; generative adversarial network; self-supervised learning

Cite as: Chen B J, Shen Y F, Fu H B, et al. NeuralReshaper: single-image human-body retouching with deep neural networks. Sci China Inf Sci, 2023, 66(9): 199101, doi: 10.1007/s11432-022-3675-1

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Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors
Hussain, Sumaira; Xi, Xiaoming; Ullah, Inam; Naim, Syeda Wajiha; Shaheed, Kashif; Tian, Cuihuan; Yin, Yilong
Sci China Inf Sci, 2023, 66(2): 122104

Keywords: breast tumor; ultrasound image segmentation; deep neural network; difficulty-awareness

Cite as: Hussain S, Xi X M, Ullah I, et al. Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors. Sci China Inf Sci, 2023, 66(2): 122104, doi: 10.1007/s11432-021-3340-y

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BiTGAN: bilateral generative adversarial networks for Chinese ink wash painting style transfer
He, Xiao; Zhu, Mingrui; Wang, Nannan; Wang, Xiaoyu; Gao, Xinbo
Sci China Inf Sci, 2023, 66(1): 119104

Keywords: Chinese ink wash painting; image style transfer; image-to-image translation; generative adversarial networks; GAN; bilateral-generator

Cite as: He X, Zhu M R, Wang N N, et al. BiTGAN: bilateral generative adversarial networks for Chinese ink wash painting style transfer. Sci China Inf Sci, 2023, 66(1): 119104, doi: 10.1007/s11432-022-3541-x

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Learning cross-modal interaction for RGB-T tracking
Xu, Chunyan; Cui, Zhen; Wang, Chaoqun; Zhou, Chuanwei; Yang, Jian
Sci China Inf Sci, 2023, 66(1): 119103

Keywords: RGB-T tracking; cross-modal interaction; pixel-level correlation; relation-level correlation; visual object tracking

Cite as: Xu C Y, Cui Z, Wang C Q, et al. Learning cross-modal interaction for RGB-T tracking. Sci China Inf Sci, 2023, 66(1): 119103, doi: 10.1007/s11432-021-3518-y

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Image co-segmentation based on pyramid features cross-correlation network
Chen, Jia; Chen, Yasong; Li, Weihao; Liu, Zhi; Liu, Sannyuya; Yang, Zongkai
Sci China Inf Sci, 2023, 66(1): 119101

Keywords: image co-segmentation; pyramid features; deep learning; pair-wise manner; VGG16

Cite as: Chen J, Chen Y S, Li W H, et al. Image co-segmentation based on pyramid features cross-correlation network. Sci China Inf Sci, 2023, 66(1): 119101, doi: 10.1007/s11432-021-3515-6

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Situation-adaptive neural network for fast pre-computing image enhancement
Li X Y, Duan H Y, Wang J, et al
Sci China Inf Sci, 2025, 68(2): 124101

Keywords: photonic computing; image enhancement; look up table; pre-computing; deep learning

Cite as: Li X Y, Duan H Y, Wang J, et al. Situation-adaptive neural network for fast pre-computing image enhancement. Sci China Inf Sci, 2025, 68(2): 124101, doi: 10.1007/s11432-024-4166-y

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BEV-Locator: an end-to-end visual semantic localization network using multi-view images
Zhang Z H, Xu M, Zhou W Q, et al
Sci China Inf Sci, 2025, 68(2): 122106

Keywords: visual localization; semantic map; bird-eye-view; transformer; pose estimation

Cite as: Zhang Z H, Xu M, Zhou W Q, et al. BEV-Locator: an end-to-end visual semantic localization network using multi-view images. Sci China Inf Sci, 2025, 68(2): 122106, doi: 10.1007/s11432-023-4114-6

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Aligning enhanced feature representation for generalized zero-shot learning
Fang Z Y, Zhu X B, Yang C, et al
Sci China Inf Sci, 2025, 68(2): 122102

Keywords: generalized zero-shot learning; gated attention mechanism; contrastive learning; multi-modal alignment

Cite as: Fang Z Y, Zhu X B, Yang C, et al. Aligning enhanced feature representation for generalized zero-shot learning. Sci China Inf Sci, 2025, 68(2): 122102, doi: 10.1007/s11432-023-4174-4

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Multi-receptive field interaction network for shape from polarization
Peng, Yini; Liu, Rui; Zhang, Zhiyuan; Wang, Zhongyuan; Ma, Jiayi; Tian, Xin
Sci China Inf Sci, 2025, 68(1): 119102

Keywords: shape from polarization; 3D reconstruction; deep learning; multi-receptive field interaction; surface normal

Cite as: Peng Y N, Liu R, Zhang Z Y, et al. Multi-receptive field interaction network for shape from polarization. Sci China Inf Sci, 2025, 68(1): 119102, doi: 10.1007/s11432-024-4212-2

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COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detection
Zhang, Xiaoqin; Yu, Zhenni; Zhao, Li; Fan, Deng-Ping; Xiao, Guobao
Sci China Inf Sci, 2025, 68(1): 112104

Keywords: segment anything model; camouflaged object detection; boundary; prompt

Cite as: Zhang X Q, Yu Z N, Zhao L, et al. COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detection. Sci China Inf Sci, 2025, 68(1): 112104, doi: 10.1007/s11432-024-4233-9

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DcnnGrasp: towards accurate grasp pattern recognition with adaptive regularizer learning
Zhang, Xiaoqin; Huang, Ziwei; Zheng, Jingjing; Wang, Shuo; Jiang, Xianta
Sci China Inf Sci, 2024, 67(12): 229102

Keywords: grasp pattern recognition; computer vision; convolutional neural networks; deep learning; adaptive regularizer learning

Cite as: Zhang X Q, Huang Z W, Zheng J J, et al. DcnnGrasp: towards accurate grasp pattern recognition with adaptive regularizer learning. Sci China Inf Sci, 2024, 67(12): 229102, doi: 10.1007/s11432-022-4237-4

Special Topic: Large Multimodal Models
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ChemDFM-X: towards large multimodal model for chemistry
Zhao, Zihan; Chen, Bo; Li, Jingpiao; Chen, Lu; Wen, Liyang; Wang, Pengyu; Zhu, Zichen; Zhang, Danyang; Li, Yansi; Dai, Zhongyang; Chen, Xin; Yu, Kai
Sci China Inf Sci, 2024, 67(12): 220109

Keywords: LMM; AI for Science; Instruction-Tuning; Cross-Modality; Chemistry

Cite as: Zhao Z H, Chen B, Li J P, et al. ChemDFM-X: towards large multimodal model for chemistry. Sci China Inf Sci, 2024, 67(12): 220109, doi: 10.1007/s11432-024-4243-0

Special Topic: Large Multimodal Models
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COMET: "cone of experience" enhanced large multimodal model for mathematical problem generation
Liu, Sannyuya; Feng, Jintian; Yang, Zongkai; Luo, Yawei; Wan, Qian; Shen, Xiaoxuan; Sun, Jianwen
Sci China Inf Sci, 2024, 67(12): 220108

Keywords: mathematical problem generation; mathematical problem solving; large multimodal model; LMM; educational application; smart education

Cite as: Liu S N Y, Feng J T, Yang Z K, et al. COMET: "cone of experience" enhanced large multimodal model for mathematical problem generation. Sci China Inf Sci, 2024, 67(12): 220108, doi: 10.1007/s11432-024-4242-0

Special Topic: Large Multimodal Models
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Modality-experts coordinated adaptation for large multimodal models
Zhang, Yan; Ji, Zhong; Pang, Yanwei; Han, Jungong; Li, Xuelong
Sci China Inf Sci, 2024, 67(12): 220107

Keywords: large multimodal model; LMM; multimodal learning; vision-language pretraining; parameter-efficient fine-tuning; adapter; modality expert

Cite as: Zhang Y, Ji Z, Pang Y W, et al. Modality-experts coordinated adaptation for large multimodal models. Sci China Inf Sci, 2024, 67(12): 220107, doi: 10.1007/s11432-024-4234-4

Special Topic: Large Multimodal Models
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DocPedia: unleashing the power of large multimodal model in the frequency domain for versatile document understanding
Feng, Hao; Liu, Qi; Liu, Hao; Tang, Jingqun; Zhou, Wengang; Li, Houqiang; Huang, Can
Sci China Inf Sci, 2024, 67(12): 220106

Keywords: document understanding; large multimodal model; LMM; OCR-free; high-resolution; frequency

Cite as: Feng H, Liu Q, Liu H, et al. DocPedia: unleashing the power of large multimodal model in the frequency domain for versatile document understanding. Sci China Inf Sci, 2024, 67(12): 220106, doi: 10.1007/s11432-024-4250-y

Special Topic: Large Multimodal Models
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Woodpecker: hallucination correction for multimodal large language models
Yin, Shukang; Fu, Chaoyou; Zhao, Sirui; Xu, Tong; Wang, Hao; Sui, Dianbo; Shen, Yunhang; Li, Ke; Sun, Xing; Chen, Enhong
Sci China Inf Sci, 2024, 67(12): 220105

Keywords: multimodal learning; multimodal large language models; hallucination correction; large language models; vision and language; LMM

Cite as: Yin S K, Fu C Y, Zhao S R, et al. Woodpecker: hallucination correction for multimodal large language models. Sci China Inf Sci, 2024, 67(12): 220105, doi: 10.1007/s11432-024-4251-x

Special Topic: Large Multimodal Models
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MMInstruct: a high-quality multi-modal instruction tuning dataset with extensive diversity
Liu, Yangzhou; Cao, Yue; Gao, Zhangwei; Wang, Weiyun; Chen, Zhe; Wang, Wenhai; Tian, Hao; Lu, Lewei; Zhu, Xizhou; Lu, Tong; Qiao, Yu; Dai, Jifeng
Sci China Inf Sci, 2024, 67(12): 220103

Keywords: instruction tuning; multi-modal; multi-domain; dataset; vision large language model; LMM

Cite as: Liu Y Z, Cao Y, Gao Z W, et al. MMInstruct: a high-quality multi-modal instruction tuning dataset with extensive diversity. Sci China Inf Sci, 2024, 67(12): 220103, doi: 10.1007/s11432-024-4187-3

Special Topic: Large Multimodal Models
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OCRBench: on the hidden mystery of OCR in large multimodal models
Liu, Yuliang; Li, Zhang; Huang, Mingxin; Yang, Biao; Yu, Wenwen; Li, Chunyuan; Yin, Xu-Cheng; Liu, Cheng-Lin; Jin, Lianwen; Bai, Xiang
Sci China Inf Sci, 2024, 67(12): 220102

Keywords: large multimodal model; LMM; OCR; text recognition; scene text-centric VQA; document-oriented VQA; key information extraction; handwritten mathematical expression recognition

Cite as: Liu Y L, Li Z, Huang M X, et al. OCRBench: on the hidden mystery of OCR in large multimodal models. Sci China Inf Sci, 2024, 67(12): 220102, doi: 10.1007/s11432-024-4235-6

Special Topic: Large Multimodal Models
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How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites
Chen, Zhe; Wang, Weiyun; Tian, Hao; Ye, Shenglong; Gao, Zhangwei; Cui, Erfei; Tong, Wenwen; Hu, Kongzhi; Luo, Jiapeng; Ma, Zheng; Ma, Ji; Wang, Jiaqi; Dong, Xiaoyi; Yan, Hang; Guo, Hewei; He, Conghui; Shi, Botian; Jin, Zhenjiang; Xu, Chao; Wang, Bin; Wei, Xingjian; Li, Wei; Zhang, Wenjian; Zhang, Bo; Cai, Pinlong; Wen, Licheng; Yan, Xiangchao; Dou, Min; Lu, Lewei; Zhu, Xizhou; Lu, Tong; Lin, Dahua; Qiao, Yu; Dai, Jifeng; Wang, Wenhai
Sci China Inf Sci, 2024, 67(12): 220101

Keywords: multimodal model; open-source; vision encoder; dynamic resolution; bilingual dataset; LMM

Cite as: Chen Z, Wang W Y, Tian H, et al. How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites. Sci China Inf Sci, 2024, 67(12): 220101, doi: 10.1007/s11432-024-4231-5

PERSPECTIVE Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Embodied computational imaging: a new paradigm for observing and analyzing spatiotemporally ultrasensitive phenomena at multiple scales
Chen, Baoquan; Lin, Zhouchen; Xi, Peng; Liu, Yebin; Chen, Xiaodian
Sci China Inf Sci, 2024, 67(11): 216101

Keywords: computational imaging; embodied AI; generative AI; microscopic imaging; time-domain astronomy

Cite as: Chen B Q, Lin Z C, Xi P, et al. Embodied computational imaging: a new paradigm for observing and analyzing spatiotemporally ultrasensitive phenomena at multiple scales. Sci China Inf Sci, 2024, 67(11): 216101, doi: 10.1007/s11432-024-4121-0

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PointSmile: point self-supervised learning via curriculum mutual information
Li, Xin; Wei, Mingqiang; Chen, Songcan
Sci China Inf Sci, 2024, 67(11): 212104

Keywords: PointSmile; self-supervised learning; curriculum mutual information; point cloud; representation learning

Cite as: Li X, Wei M Q, Chen S C. PointSmile: point self-supervised learning via curriculum mutual information. Sci China Inf Sci, 2024, 67(11): 212104, doi: 10.1007/s11432-023-4085-9

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Robust video question answering via contrastive cross-modality representation learning
Yang, Xun; Zeng, Jianming; Guo, Dan; Wang, Shanshan; Dong, Jianfeng; Wang, Meng
Sci China Inf Sci, 2024, 67(10): 202104

Keywords: video question answering; cross-modality fusion; contrastive learning; cross-media reasoning

Cite as: Yang X, Zeng J M, Guo D, et al. Robust video question answering via contrastive cross-modality representation learning. Sci China Inf Sci, 2024, 67(10): 202104, doi: 10.1007/s11432-023-4084-6

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Saliency-guided meta-hallucinator for few-shot learning
Zhang, Hongguang; Liu, Chun; Wang, Jiandong; Ma, Linru; Koniusz, Piotr; Torr, Philip H. S.; Yang, Lin
Sci China Inf Sci, 2024, 67(10): 202103

Keywords: few-shot learning; saliency detection; object recognition; anomaly detection; computer vision

Cite as: Zhang H G, Liu C, Wang J D, et al. Saliency-guided meta-hallucinator for few-shot learning. Sci China Inf Sci, 2024, 67(10): 202103, doi: 10.1007/s11432-023-4113-1

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Relative difficulty distillation for semantic segmentation
Liang, Dong; Sun, Yue; Du, Yun; Chen, Songcan; Huang, Sheng-Jun
Sci China Inf Sci, 2024, 67(9): 192105

Keywords: knowledge distillation; semantic segmentation; relative difficulty; sample weighting; prediction discrepancy

Cite as: Liang D, Sun Y, Du Y, et al. Relative difficulty distillation for semantic segmentation. Sci China Inf Sci, 2024, 67(9): 192105, doi: 10.1007/s11432-023-4061-2

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Wavelet-domain feature decoupling for weakly supervised multi-object tracking
Li, Yu-Lei; Yan, Yan; Lu, Yang; Wang, Hanzi
Sci China Inf Sci, 2024, 67(8): 189102

Keywords: multi-object tracking; weakly supervised learning; feature-decoupling transformer; noisy intermediate features; well-refined embedding features

Cite as: Li Y-L, Yan Y, Lu Y, et al. Wavelet-domain feature decoupling for weakly supervised multi-object tracking. Sci China Inf Sci, 2024, 67(8): 189102, doi: 10.1007/s11432-022-4097-y

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SeeMore: a spatiotemporal predictive model with bidirectional distillation and level-specific meta-adaptation
Ma, Yuqing; Liu, Wei; Gao, Yajun; Yuan, Yang; Bai, Shihao; Qin, Haotong; Liu, Xianglong
Sci China Inf Sci, 2024, 67(8): 182104

Keywords: spatiotemporal predictive learning; knowledge transfer; bidirectional distillation network; level-specific meta-adapter; coarse-to-fine training

Cite as: Ma Y Q, Liu W, Gao Y J, et al. SeeMore: a spatiotemporal predictive model with bidirectional distillation and level-specific meta-adaptation. Sci China Inf Sci, 2024, 67(8): 182104, doi: 10.1007/s11432-022-3859-8

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Towards imbalanced motion: part-decoupling network for video portrait segmentation
Yu, Tianshu; Xia, Changqun; Li, Jia
Sci China Inf Sci, 2024, 67(7): 172104

Keywords: video portrait segmentation; imbalanced motion; unsupervised part decoupling; motion correlation; inter-frame attention

Cite as: Yu T S, Xia C Q, Li J. Towards imbalanced motion: part-decoupling network for video portrait segmentation. Sci China Inf Sci, 2024, 67(7): 172104, doi: 10.1007/s11432-023-4030-y

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Pyramid-resolution person restoration for cross-resolution person re-identification
Peng, Chunlei; Wang, Bo; Liu, Decheng; Wang, Nannan; Gao, Xinbo
Sci China Inf Sci, 2024, 67(6): 169101

Keywords: pyramid-resolution; cross-resolution person ReID; image restoration; feature distance fusion; multi-resolution person ReID

Cite as: Peng C L, Wang B, Liu D C, et al. Pyramid-resolution person restoration for cross-resolution person re-identification. Sci China Inf Sci, 2024, 67(6): 169101, doi: 10.1007/s11432-023-4023-y

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Meta label associated loss for fine-grained visual recognition
Li, Yanchao; Xiao, Fu; Li, Hao; Li, Qun; Yu, Shui
Sci China Inf Sci, 2024, 67(6): 162102

Keywords: label associated loss; weighting noisy samples; fine-grained visual recognition; noise-tolerant learning; meta-learning

Cite as: Li Y C, Xiao F, Li H, et al. Meta label associated loss for fine-grained visual recognition. Sci China Inf Sci, 2024, 67(6): 162102, doi: 10.1007/s11432-023-3922-2

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A unified user behavior model for trajectory-based tasks with different types of path constraints
Zhang, Hao; Huang, Jin; Tu, Huawei; Tian, Feng; Dai, Guozhong; Wang, Hongan
Sci China Inf Sci, 2023, 66(10): 204101

Keywords: human-computer interaction; user behavior modeling; artificial potential field; trajectory-based task; trajectory predicting

Cite as: Zhang H, Huang J, Tu H W, et al. A unified user behavior model for trajectory-based tasks with different types of path constraints. Sci China Inf Sci, 2023, 66(10): 204101, doi: 10.1007/s11432-023-3779-5

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An energy constraint position-based dynamics with corrected SPH kernel
Cao, Wei; Lyu, Luan; Yang, Zhixin; Wu, Enhua
Sci China Inf Sci, 2023, 66(1): 112108

Keywords: position-based dynamics; deformable solids; continuum mechanics

Cite as: Cao W, Lyu L, Yang Z X, et al. An energy constraint position-based dynamics with corrected SPH kernel. Sci China Inf Sci, 2023, 66(1): 112108, doi: 10.1007/s11432-021-3464-2

计算机理论(5)

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

Monodirectional evolutional symport tissue P systems with channel states and cell division
Song, Bosheng; Li, Kenli; Zeng, Xiangxiang; Perez-Jimenez, Mario J.; Zandron, Claudio
Sci China Inf Sci, 2023, 66(3): 139104

Keywords: Bio-inspired computing; tissue P system; channel state; cell division; symport rule; antiport rule

Cite as: Song B S, Li K L, Zeng X X, et al. Monodirectional evolutional symport tissue P systems with channel states and cell division. Sci China Inf Sci, 2023, 66(3): 139104, doi: 10.1007/s11432-021-3478-8

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Safety guarantee for time-delay systems with disturbances
Liu, Wenyou; Bai, Yunjun; Jiao, Li; Zhan, Naijun
Sci China Inf Sci, 2023, 66(3): 132102

Keywords: time-delay systems; delay differential equations; control barrier functionals; controllers; safety

Cite as: Liu W Y, Bai Y J, Jiao L, et al. Safety guarantee for time-delay systems with disturbances. Sci China Inf Sci, 2023, 66(3): 132102, doi: 10.1007/s11432-020-3266-6

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Improved kernels for triangle packing in tournaments
Yuan, Hanchun; Feng, Qilong; Wang, Jianxin
Sci China Inf Sci, 2023, 66(5): 152104

Keywords: tournaments; triangle packing; kernelization; fixed-parameter tractable; graph algorithms

Cite as: Yuan H C, Feng Q L, Wang J X. Improved kernels for triangle packing in tournaments. Sci China Inf Sci, 2023, 66(5): 152104, doi: 10.1007/s11432-021-3551-2

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Optimizing local search-based partial MaxSAT solving via initial assignment prediction
Liu, Chanjuan; Liu, Guangyuan; Luo, Chuan; Cai, Shaowei; Lei, Zhendong; Zhang, Wenjie; Chu, Yi; Zhang, Guojing
Sci China Inf Sci, 2025, 68(2): 122101

Keywords: MaxSAT; local search; initial assignment; incomplete method; assignment prediction

Cite as: Liu C J, Liu G Y, Luo C, et al. Optimizing local search-based partial MaxSAT solving via initial assignment prediction. Sci China Inf Sci, 2025, 68(2): 122101, doi: 10.1007/s11432-023-3900-7

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On optimal streaming kernelization algorithms
Feng, Hao; Yang, Wei; Chen, Jianer
Sci China Inf Sci, 2024, 67(8): 189101

Keywords: streaming algorithm; kernelization algorithm; vertex cover; big data; space complexity

Cite as: Feng H, Yang W, Chen J E. On optimal streaming kernelization algorithms. Sci China Inf Sci, 2024, 67(8): 189101, doi: 10.1007/s11432-023-4080-3

高性能计算(19)

NEWS & VIEWS Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

Hetu: a highly efficient automatic parallel distributed deep learning system
Miao, Xupeng; Nie, Xiaonan; Zhang, Hailin; Zhao, Tong; Cui, Bin
Sci China Inf Sci, 2023, 66(1): 117101

Keywords: deep learning; distributed system; artificial intelligence; parallel computing; machine learning

Cite as: Miao X P, Nie X N, Zhang H L, et al. Hetu: a highly efficient automatic parallel distributed deep learning system. Sci China Inf Sci, 2023, 66(1): 117101, doi: 10.1007/s11432-022-3581-9

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SMAF: a secure and makespan-aware framework for executing serverless workflows
Zhang, Shuai; Guo, Yunfei; Guo, Zehua; Hu, Hongchao; Chen, Guozhen
Sci China Inf Sci, 2023, 66(3): 139105

Keywords: serverless computing; workflow scheduling; security; makespan; proactive Defense

Cite as: Zhang S, Guo Y F, Guo Z H, et al. SMAF: a secure and makespan-aware framework for executing serverless workflows. Sci China Inf Sci, 2023, 66(3): 139105, doi: 10.1007/s11432-021-3408-y

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Accelerate distributed deep learning with cluster-aware sketch quantization
Ge, Keshi; Zhang, Yiming; Fu, Yongquan; Lai, Zhiquan; Deng, Xiaoge; Li, Dongsheng
Sci China Inf Sci, 2023, 66(6): 162102

Keywords: distributed training; deep learning; communication; sketch; quantization

Cite as: Ge K S, Zhang Y M, Fu Y Q, et al. Accelerate distributed deep learning with cluster-aware sketch quantization. Sci China Inf Sci, 2023, 66(6): 162102, doi: 10.1007/s11432-021-3532-8

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Practical cloud storage auditing using serverless computing
Chen, Fei; Cai, Jianquan; Xiang, Tao; Liao, Xiaofeng
Sci China Inf Sci, 2024, 67(3): 132102

Keywords: cloud storage auditing; serverless computing; object storage; usability

Cite as: Chen F, Cai J Q, Xiang T, et al. Practical cloud storage auditing using serverless computing. Sci China Inf Sci, 2024, 67(3): 132102, doi: 10.1007/s11432-022-3597-3

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HTDcr: a job execution framework for high-throughput computing on supercomputers
Jiang, Jiazhi; Huang, Dan; Chen, Hu; Lu, Yutong; Liao, Xiangke
Sci China Inf Sci, 2024, 67(1): 112104

Keywords: high-throughput computing; supercomputer; task scheduling; middleware; password guessing

Cite as: Jiang J Z, Huang D, Chen H, et al. HTDcr: a job execution framework for high-throughput computing on supercomputers. Sci China Inf Sci, 2024, 67(1): 112104, doi: 10.1007/s11432-022-3657-3

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Power synchronization: taming massive diversified serverless functions under power constraints
Liu, Du; Zhang, Lu; Xu, Yechen; Wang, Xinkai; Sun, Lingyu; Pu, Yifei; Hou, Xiaofeng; Guo, Minyi; Li, Chao
Sci China Inf Sci, 2025, 68(3): 132101

Keywords: serverless computing; variability; energy efficiency; power management; power synchronization

Cite as: Liu D, Zhang L, Xu Y C, et al. Power synchronization: taming massive diversified serverless functions under power constraints. Sci China Inf Sci, 2025, 68(3): 132101, doi: 10.1007/s11432-022-3882-y

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An efficient binary programming method for black-box optimization and its application in processor design
Lv, Xiaoliang; Zhai, Qiaozhu; Hu, Jianchen; Zhu, Yuhang; Liu, Jinhui; Guan, Xiaohong
Sci China Inf Sci, 2024, 67(12): 222102

Keywords: black-box optimization; binary programming; design space exploration; processor design; expensive simulation system

Cite as: Lv X L, Zhai Q Z, Hu J C, et al. An efficient binary programming method for black-box optimization and its application in processor design. Sci China Inf Sci, 2024, 67(12): 222102, doi: 10.1007/s11432-023-3963-7

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MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs
Liu, Xuanzhe; Zhao, Yihao; Liu, Shufan; Li, Xiang; Zhu, Yibo; Liu, Xin; Jin, Xin
Sci China Inf Sci, 2024, 67(12): 222101

Keywords: GPU cluster; deep learning workload; cluster management; GPU sharing; deployed system

Cite as: Liu X Z:, Zhao Y H, Liu S F, et al. MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs. Sci China Inf Sci, 2024, 67(12): 222101, doi: 10.1007/s11432-024-4227-2

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SDCC: software-defined collective communication for distributed training
Jin, Xin; Zhang, Zhen; Jia, Yunshan; Ma, Yun; Liu, Xuanzhe
Sci China Inf Sci, 2024, 67(9): 192104

Keywords: machine learning systems; distributed training; deep learning; collective communication; software-defined networking

Cite as: Jin X, Zhang Z, Jia Y S, et al. SDCC: software-defined collective communication for distributed training. Sci China Inf Sci, 2024, 67(9): 192104, doi: 10.1007/s11432-023-3894-4

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OpBench: an operator-level GPU benchmark for deep learning
Gu, Qingwen; Fan, Bo; Liu, Zhengning; Cao, Kaicheng; Zhang, Songhai; Hu, Shimin
Sci China Inf Sci, 2024, 67(9): 192102

Keywords: deep learning; operator benchmark; model benchmark; GPU performance analysis; deep neural networks

Cite as: Gu Q W:, Fan B, Liu Z N, et al. OpBench: an operator-level GPU benchmark for deep learning. Sci China Inf Sci, 2024, 67(9): 192102, doi: 10.1007/s11432-023-3989-3

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Adaptive joint configuration optimization for collaborative inference in edge-cloud systems
Yang, Zheming; Ji, Wen; Wang, Zhi
Sci China Inf Sci, 2024, 67(4): 149103

Keywords: edge computing; collaborative inference; robust optimization; multi-model; joint configuration

Cite as: Yang Z M, Ji W, Wang Z. Adaptive joint configuration optimization for collaborative inference in edge-cloud systems. Sci China Inf Sci, 2024, 67(4): 149103, doi: 10.1007/s11432-023-3957-4

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A smart hybrid memory scheduling approach using neural models
Zhen, Yanjie; Zhang, Huijun; Deng, Yongheng; Chen, Weining; Gao, Wei; Ren, Ju; Chen, Yu
Sci China Inf Sci, 2024, 67(4): 149102

Keywords: Computer Architecture; Hybrid Memory Management; Page Scheduling; Neural Model; Long Short-Term Memory; Clustering

Cite as: Zhen Y J, Zhang H J, Deng Y H, et al. A smart hybrid memory scheduling approach using neural models. Sci China Inf Sci, 2024, 67(4): 149102, doi: 10.1007/s11432-023-3925-2

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Jigsaw-Sketch: a fast and accurate algorithm for finding top-k elephant flows in high-speed networks
Zhang, Boyu; Huang, He; Sun, Yu-E; Du, Yang; Wang, Dan
Sci China Inf Sci, 2024, 67(4): 142101

Keywords: sketch; top-k; network measurement; elephant flow; high-speed networks

Cite as: Zhang B Y, Huang H, Sun Y-E, et al. Jigsaw-Sketch: a fast and accurate algorithm for finding top-k elephant flows in high-speed networks. Sci China Inf Sci, 2024, 67(4): 142101, doi: 10.1007/s11432-022-3794-1

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Mitigate noisy data for smart IoT via GAN based machine unlearning
Ma, Zhuo; Yang, Yilong; Liu, Yang; Liu, Xinjing; Ma, Jianfeng
Sci China Inf Sci, 2024, 67(3): 132104

Keywords: machine unlearning; generative adversarial network; out of distribution data; Internet of Thing; neural network

Cite as: Ma Z, Yang Y L, Liu Y, et al. Mitigate noisy data for smart IoT via GAN based machine unlearning. Sci China Inf Sci, 2024, 67(3): 132104, doi: 10.1007/s11432-022-3671-9

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A blockchain-based data auditing scheme with key-exposure resistance for IIoT
Yang, Pan; Ren, Jingli
Sci China Inf Sci, 2024, 67(2): 129102

Keywords: consortium blockchain; data auditing; key exposure resistance; fairness; industrial Internet of Things; IIoT; IoT

Cite as: Yang P, Ren J L. A blockchain-based data auditing scheme with key-exposure resistance for IIoT. Sci China Inf Sci, 2024, 67(2): 129102, doi: 10.1007/s11432-023-3828-7

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Building a domain-specific compiler for emerging processors with a reusable approach
Li, Mingzhen; Liu, Yi; Chen, Bangduo; Yang, Hailong; Luan, Zhongzhi; Qian, Depei
Sci China Inf Sci, 2024, 67(1): 112101

Keywords: domain-specific compiler; emerging processor; reusable dialect; performance optimization; MLIR

Cite as: Li M Z, Liu Y, Chen B D, et al. Building a domain-specific compiler for emerging processors with a reusable approach. Sci China Inf Sci, 2024, 67(1): 112101, doi: 10.1007/s11432-022-3727-6

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Chip design with machine learning: a survey from algorithm perspective
He, Wenkai; Li, Xiaqing; Song, Xinkai; Hao, Yifan; Zhang, Rui; Du, Zidong; Chen, Yunji
Sci China Inf Sci, 2023, 66(11): 211101

Keywords: chip design; machine learning; chip design automation; design result estimation; design optimization and correction; design construction

Cite as: He W K, Li X Q, Song X K, et al. Chip design with machine learning: a survey from algorithm perspective. Sci China Inf Sci, 2023, 66(11): 211101, doi: 10.1007/s11432-022-3772-8

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Rescue to the Curse of universality
Zhao, Yongwei; Du, Zidong; Guo, Qi; Xu, Zhiwei; Chen, Yunji
Sci China Inf Sci, 2023, 66(9): 192102

Keywords: universality; general-purpose architecture; specialized architecture; deep learning processor; universal circuit

Cite as: Zhao Y W, Du Z D, Guo Q, et al. Rescue to the Curse of universality. Sci China Inf Sci, 2023, 66(9): 192102, doi: 10.1007/s11432-021-3596-x

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Towards real-time ML-based DDoS detection via cost-efficient window-based feature extraction
Li, Haibin; Zhao, Yi; Yao, Wenbing; Xu, Ke; Li, Qi
Sci China Inf Sci, 2023, 66(5): 152105

Keywords: DDoS attack; machine learning; feature extraction; detection delay; cost-efficiency

Cite as: Li H B, Zhao Y, Yao W B, et al. Towards real-time ML-based DDoS detection via cost-efficient window-based feature extraction. Sci China Inf Sci, 2023, 66(5): 152105, doi: 10.1007/s11432-021-3545-0

信息安全(19)

Highly Cited in 202407 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 9

Model architecture level privacy leakage in neural networks
Li, Yan; Yan, Hongyang; Huang, Teng; Pan, Zijie; Lai, Jiewei; Zhang, Xiaoxue; Chen, Kongyang; Li, Jin
Sci China Inf Sci, 2024, 67(3): 132101

Keywords: neural architecture search; data reconstruction attack; membership inference attack

Cite as: Li Y, Yan H Y, Huang T, et al. Model architecture level privacy leakage in neural networks. Sci China Inf Sci, 2024, 67(3): 132101, doi: 10.1007/s11432-022-3507-7

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

Transaction transmission model for blockchain channels based on non-cooperative games
Zhang, Peiyun; Li, Chenxi; Zhou, Mengchu; Huang, Wenjun; Abusorrah, Abdullah; Bamasag, Omaimah O.
Sci China Inf Sci, 2023, 66(1): 112105

Keywords: Blockchain channel; transaction transmission; channel balance; channel state; channel transmission probability; non-cooperative game

Cite as: Zhang P Y, Li C X, Zhou M C, et al. Transaction transmission model for blockchain channels based on non-cooperative games. Sci China Inf Sci, 2023, 66(1): 112105, doi: 10.1007/s11432-021-3362-9

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A revisited security evaluation of Simeck family ciphers against impossible differential cryptanalysis
Zhang, Kai; Lai, Xuejia; Wang, Lei; Guan, Jie; Hu, Bin
Sci China Inf Sci, 2023, 66(3): 139106

Keywords: cybersecurity; cryptanalysis; lightweight block cipher; impossible differential cryptanalysis; Simeck

Cite as: Zhang K, Lai X J, Wang L, et al. A revisited security evaluation of Simeck family ciphers against impossible differential cryptanalysis. Sci China Inf Sci, 2023, 66(3): 139106, doi: 10.1007/s11432-022-3466-x

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Puncturable ciphertext-policy attribute-based encryption scheme for efficient and flexible user revocation
Ghopur, Dilxat; Ma, Jianfeng; Ma, Xindi; Miao, Yinbin; Hao, Jialu; Jiang, Tao
Sci China Inf Sci, 2023, 66(7): 172104

Keywords: ciphertext-policy attribute-based encryption; puncturable encryption; user revocation; outsource decryption; digital signature

Cite as: Ghopur D, Ma J F, Ma X D, et al. Puncturable ciphertext-policy attribute-based encryption scheme for efficient and flexible user revocation. Sci China Inf Sci, 2023, 66(7): 172104, doi: 10.1007/s11432-022-3585-9

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Lattice-based autonomous path proxy re-encryption in the standard model
Xie, Wenli; Weng, Jian; Tong, Yao; Liang, Xiaojian; Yao, Lisha; Zhao, Feixiang
Sci China Inf Sci, 2023, 66(10): 202101

Keywords: autonomous path proxy re-encryption; proxy re-encryption; lattice-based cryptography; learning with errors; controlled delegation

Cite as: Xie W L, Weng J, Tong Y, et al. Lattice-based autonomous path proxy re-encryption in the standard model. Sci China Inf Sci, 2023, 66(10): 202101, doi: 10.1007/s11432-022-3612-6

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DBKEM-AACS: a distributed key escrow model in blockchain with anonymous authentication and committee selection
Xiang, Axin; Gao, Hongfeng; Tian, Youliang; Wan, Liang
Sci China Inf Sci, 2023, 66(3): 139102

Keywords: key escrow; blockchain; smart contract; committee selection; anonymous authentication

Cite as: Xiang A X, Gao H F, Tian Y L, et al. DBKEM-AACS: a distributed key escrow model in blockchain with anonymous authentication and committee selection. Sci China Inf Sci, 2023, 66(3): 139102, doi: 10.1007/s11432-021-3378-3

From CAS & CAE Members
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Locally differentially private high-dimensional data synthesis
Chen, Xue; Wang, Cheng; Yang, Qing; Hu, Teng; Jiang, Changjun
Sci China Inf Sci, 2023, 66(1): 112101

Keywords: preserving protocols local differential privacy; high-dimensional data synthesis; sampling; data privacy; privacy-

Cite as: Chen X, Wang C, Yang Q, et al. Locally differentially private high-dimensional data synthesis. Sci China Inf Sci, 2023, 66(1): 112101, doi: 10.1007/s11432-022-3583-x

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Unbalanced private set intersection with linear communication complexity
Zhao, Quanyu; Jiang, Bingbing; Zhang, Yuan; Wang, Heng; Mao, Yunlong; Zhong, Sheng
Sci China Inf Sci, 2024, 67(3): 132105

Keywords: unbalanced private set intersection; Hash proof system; linear communication complexity; small set; resource-constrained devices

Cite as: Zhao Q Y, Jiang B B, Zhang Y, et al. Unbalanced private set intersection with linear communication complexity. Sci China Inf Sci, 2024, 67(3): 132105, doi: 10.1007/s11432-022-3717-9

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Provably secure attribute-based authenticated encryption with keyword search from ideal lattices
Yao, Lisha; Hou, Lin; Weng, Jian; Zhao, Feixiang
Sci China Inf Sci, 2024, 67(1): 119101

Keywords: attribute-based; keyword search; chosen-keyword attacks; insider keyword guessing attacks; ideal lattices

Cite as: Yao L S, Hou L, Weng J, et al. Provably secure attribute-based authenticated encryption with keyword search from ideal lattices. Sci China Inf Sci, 2024, 67(1): 119101, doi: 10.1007/s11432-022-3808-7

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Resource investment for DDoS attack resistant SDN: a practical assessment
Yuan, Bin; Zhang, Fan; Wan, Jun; Zhao, Huan; Yu, Shui; Zou, Deqing; Hua, Qiangsheng; Jin, Hai
Sci China Inf Sci, 2023, 66(7): 172103

Keywords: SDN security; DDoS attacks; resource management; queueing theory; QoS

Cite as: Yuan B, Zhang F, Wan J, et al. Resource investment for DDoS attack resistant SDN: a practical assessment. Sci China Inf Sci, 2023, 66(7): 172103, doi: 10.1007/s11432-022-3593-7

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Privacy-preserving explainable AI: a survey
Nguyen, Thanh Tam; Huynh, Thanh Trung; Ren, Zhao; Nguyen, Thanh Toan; Nguyen, Phi Le; Yin, Hongzhi; Nguyen, Quoc Viet Hung
Sci China Inf Sci, 2025, 68(1): 111101

Keywords: privacy-preserving explainable AI; privacy attacks; privacy defences; PrivEx; PPXAI

Cite as: Nguyen T T, Huynh T T, Ren Z, et al. Privacy-preserving explainable AI: a survey. Sci China Inf Sci, 2025, 68(1): 111101, doi: 10.1007/s11432-024-4123-4

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RCCA-SM9: securing SM9 on corrupted machines
Chen, Rongmao; Chen, Jinrong; Huang, Xinyi; Wang, Yi
Sci China Inf Sci, 2024, 67(11): 212103

Keywords: SM9; subversion resilience; subversion attack; cryptographic reverse firewall; RCCA

Cite as: Chen R M, Chen J R, Huang X Y, et al. RCCA-SM9: securing SM9 on corrupted machines. Sci China Inf Sci, 2024, 67(11): 212103, doi: 10.1007/s11432-023-3877-9

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Committed-programming reductions: formalizations, implications and relations
Zhang, Jiang; Yu, Yu; Feng, Dengguo; Fan, Shuqin; Zhang, Zhenfeng
Sci China Inf Sci, 2024, 67(10): 202101

Keywords: provable security; random oracle model; quantum random oracle model; black-box reduction; black-box separation; programmability

Cite as: Zhang J, Yu Y, Feng D G, et al. Committed-programming reductions: formalizations, implications and relations. Sci China Inf Sci, 2024, 67(10): 202101, doi: 10.1007/s11432-022-3893-3

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LOL: a highly flexible framework for designing stream ciphers
Feng, Dengguo; Jiao, Lin; Hao, Yonglin; Zheng, Qunxiong; Wu, Wenling; Qi, Wenfeng; Zhang, Lei; Zhang, Liting; Sun, Siwei; Tian, Tian
Sci China Inf Sci, 2024, 67(9): 192101

Keywords: stream cipher; 5G/6G mobile system; fast software implementation

Cite as: Feng D G, Jiao L, Hao Y L, et al. LOL: a highly flexible framework for designing stream ciphers. Sci China Inf Sci, 2024, 67(9): 192101, doi: 10.1007/s11432-023-3901-0

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Blockchain-based immunization against kleptographic attacks
Jiang, Changsong; Xu, Chunxiang; Chen, Jie; Chen, Kefei
Sci China Inf Sci, 2024, 67(7): 172102

Keywords: kleptographic attacks; subliminal channel; blockchain; immunization; randomized algorithm

Cite as: Jiang C S, Xu C X, Chen J, et al. Blockchain-based immunization against kleptographic attacks. Sci China Inf Sci, 2024, 67(7): 172102, doi: 10.1007/s11432-023-3883-4

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CoDetect: cooperative anomaly detection with privacy protection towards UAV swarm
Li, Teng; Lin, Weiguo; Ma, Ruichen; Ma, Zhuo; Shen, Yulong; Ma, Jianfeng
Sci China Inf Sci, 2024, 67(5): 159103

Keywords: UAV swarm; cooperative detection; privacy protection; consensus; decentralization

Cite as: Li T, Lin W G, Ma R C, et al. CoDetect: cooperative anomaly detection with privacy protection towards UAV swarm. Sci China Inf Sci, 2024, 67(5): 159103, doi: 10.1007/s11432-023-3984-7

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Fault-tolerant identity-based encryption from SM9
Liu, Xiaohong; Huang, Xinyi; Cheng, Zhaohui; Wu, Wei
Sci China Inf Sci, 2024, 67(2): 122101

Keywords: attribute-based encryption; identity-based encryption; fault-tolerant; SM9

Cite as: Liu X H, Huang X Y, Cheng Z H, et al. Fault-tolerant identity-based encryption from SM9. Sci China Inf Sci, 2024, 67(2): 122101, doi: 10.1007/s11432-022-3706-7

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TULAM: trajectory-user linking via attention mechanism
Li, Hao; Cao, Shuyu; Chen, Yaqing; Zhang, Min; Feng, Dengguo
Sci China Inf Sci, 2024, 67(1): 112103

Keywords: information security; data security and privacy; trajectory-user linking; deep learning; recurrent neural network; attention mechanism

Cite as: Li H, Cao S Y, Chen Y Q, et al. TULAM: trajectory-user linking via attention mechanism. Sci China Inf Sci, 2024, 67(1): 112103, doi: 10.1007/s11432-021-3673-6

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Framework for understanding intention-unbreakable malware
Ji, Tiantian; Fang, Binxing; Cui, Xiang; Wang, Zhongru; Liao, Peng; Song, Shouyou
Sci China Inf Sci, 2023, 66(4): 142104

Keywords: malware; unbreakable property; modeling mechanism; accurate identification; intention concealment

Cite as: Ji T T, Fang B X, Cui X, et al. Framework for understanding intention-unbreakable malware. Sci China Inf Sci, 2023, 66(4): 142104, doi: 10.1007/s11432-021-3567-y

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Survey on performance optimization for database systems
Huang, Shiyue; Qin, Yanzhao; Zhang, Xinyi; Tu, Yaofeng; Li, Zhongliang; Cui, Bin
Sci China Inf Sci, 2023, 66(2): 121102

Keywords: database management system; performance optimization; performance prediction; anomaly diagnosis; database tuning

Cite as: Huang S Y, Qin Y Z, Zhang X Y, et al. Survey on performance optimization for database systems. Sci China Inf Sci, 2023, 66(2): 121102, doi: 10.1007/s11432-021-3578-6

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Deep visual-linguistic fusion network considering cross-modal inconsistency for rumor detection
Yang, Yang; Bao, Ran; Guo, Weili; Zhan, De-Chuan; Yin, Yilong; Yang, Jian
Sci China Inf Sci, 2023, 66(12): 222102

Keywords: multimodal learning; Wasserstein distance; rumor detection

Cite as: Yang Y, Bao R, Guo W L, et al. Deep visual-linguistic fusion network considering cross-modal inconsistency for rumor detection. Sci China Inf Sci, 2023, 66(12): 222102, doi: 10.1007/s11432-021-3530-7

软件(20)

PERSPECTIVE Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

Toward actionable testing of deep learning models
Xiong, Yingfei; Tian, Yongqiang; Liu, Yepang; Cheung, Shing-Chi
Sci China Inf Sci, 2023, 66(7): 176101

Keywords: Deep Learnin; Testing; Bug Fixing; Machine Translation; Image Classification; Numeric Bugs

Cite as: Xiong Y F, Tin Y Q, Liu Y P, et al. Toward actionable testing of deep learning models. Sci China Inf Sci, 2023, 66(7): 176101, doi: 10.1007/s11432-022-3580-5

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

Cluster-preserving sampling algorithm for large-scale graphs
Zhang, Jianpeng; Chen, Hongchang; Yu, Dingjiu; Pei, Yulong; Deng, Yingjun
Sci China Inf Sci, 2023, 66(1): 112103

Keywords: graph sampling; clustering structure; top-leader nodes; expansion strategies; large-scale graphs

Cite as: Zhang J P, Chen H C, Yu D J, et al. Cluster-preserving sampling algorithm for large-scale graphs. Sci China Inf Sci, 2023, 66(1): 112103, doi: 10.1007/s11432-021-3370-4

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph
Bai, Yude; Chen, Sen; Xing, Zhenchang; Li, Xiaohong
Sci China Inf Sci, 2023, 66(9): 192101

Keywords: malicious behavior; Android document; knowledge graph; malware family variant; machine learning

Cite as: Bai Y D, Chen S, Xing Z C, et al. ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph. Sci China Inf Sci, 2023, 66(9): 192101, doi: 10.1007/s11432-021-3414-7

From CAS & CAE Members
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Categorizing methods for integrating machine learning with executable specifications
Harel, David; Yerushalmi, Raz; Marron, Assaf; Elyasaf, Achiya
Sci China Inf Sci, 2024, 67(1): 111101

Keywords: machine learning; artificial intelligence; grey box learning; domain knowledge; rules; behavioral programming; deep reinforcement learning; survey

Cite as: Harel D, Yerushalmi R, Marron A, et al. Categorizing methods for integrating machine learning with executable specifications. Sci China Inf Sci, 2024, 67(1): 111101, doi: 10.1007/s11432-022-3826-6

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Deep learning-based open API recommendation for Mashup development
Wang, Ye; Chen, Junwu; Huang, Qiao; Xia, Xin; Jiang, Bo
Sci China Inf Sci, 2023, 66(7): 172102

Keywords: Mashup development; open API recommendation; deep learning; neural network; service discovery

Cite as: Wang Y, Chen J W, Huang Q, et al. Deep learning-based open API recommendation for Mashup development. Sci China Inf Sci, 2023, 66(7): 172102, doi: 10.1007/s11432-021-3531-0

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BATON: symphony of random testing and concolic testing through machine learning and taint analysis
Chen, Bihuan; Liu, Yang; Peng, Xin; Wu, Yijian; Qin, Shengchao
Sci China Inf Sci, 2023, 66(3): 132101

Keywords: system testing; random testing; concolic testing

Cite as: Chen B H, Liu Y, Peng X, et al. BATON: symphony of random testing and concolic testing through machine learning and taint analysis. Sci China Inf Sci, 2023, 66(3): 132101, doi: 10.1007/s11432-020-3403-2

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Context-aware API recommendation using tensor factorization
Zhou, Yu; Chen, Chen; Wang, Yongchao; Han, Tingting; Chen, Taolue
Sci China Inf Sci, 2023, 66(2): 122101

Keywords: API recommendation; tensor factorization; context awareness; word embedding; software development intelligent

Cite as: Zhou Y, Chen C, Wang Y C, et al. Context-aware API recommendation using tensor factorization. Sci China Inf Sci, 2023, 66(2): 122101, doi: 10.1007/s11432-021-3529-9

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LPW: an efficient data-aware cache replacement strategy for Apache Spark
Li, Hui; Ji, Shuping; Zhong, Hua; Wang, Wei; Xu, Lijie; Tang, Zhen; Wei, Jun; Huang, Tao
Sci China Inf Sci, 2023, 66(1): 112104

Keywords: Spark; memory; cache replacement; least partition weight; data-aware

Cite as: Li H, Ji S P, Zhong H, et al. LPW: an efficient data-aware cache replacement strategy for Apache Spark. Sci China Inf Sci, 2023, 66(1): 112104, doi: 10.1007/s11432-021-3406-5

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A software-defined MAPE-K architecture for unmanned systems
Jiang, Mingyue; Zheng, Libin; Ding, Zuohua; Jin, Zhi
Sci China Inf Sci, 2023, 66(5): 159101

Keywords: software-defined architecture; unmanned systems; MAPE-K; metamodel; resource management

Cite as: Jiang M Y, Zheng L B, Ding Z H, et al. A software-defined MAPE-K architecture for unmanned systems. Sci China Inf Sci, 2023, 66(5): 159101, doi: 10.1007/s11432-020-3213-2

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E-PRedictor: an approach for early prediction of pull request acceptance
Chen K X, Bao L F, Hu X, et al
Sci China Inf Sci, 2025, 68(5): 152104

Keywords: pull request; prediction model; GitHub

Cite as: Chen K X, Bao L F, Hu X, et al. E-PRedictor: an approach for early prediction of pull request acceptance. Sci China Inf Sci, 2025, 68(5): 152104, doi: 10.1007/s11432-022-3953-4

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Characterizing the app recommendation relationships in the iOS app store: a complex network's perspective
Huang G, Lin F Q, Ma Y, et al
Sci China Inf Sci, 2025, 68(4): 142101

Keywords: mobile app; recommendation; complex network; user behavior; policy-violating app

Cite as: Huang G, Lin F Q, Ma Y, et al. Characterizing the app recommendation relationships in the iOS app store: a complex network's perspective. Sci China Inf Sci, 2025, 68(4): 142101, doi: 10.1007/s11432-023-3973-1

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Deep learning-based software engineering: progress, challenges, and opportunities
Chen X P, Hu X, Huang Y, et al
Sci China Inf Sci, 2025, 68(1): 111102

Keywords: deep learning; software engineering; software benchmark; software artifact representation; survey

Cite as: Chen X P, Hu X, Huang Y, et al. Deep learning-based software engineering: progress, challenges, and opportunities. Sci China Inf Sci, 2025, 68(1): 111102, doi: 10.1007/s11432-023-4127-5

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An efficient schedulability analysis based on worst-case interference time for real-time systems
Liu, Hongbiao; Yang, Mengfei; Qiao, Lei; Chen, Xi; Gong, Jian
Sci China Inf Sci, 2024, 67(9): 192103

Keywords: five-tuple real-time task model; real-time system; spacecraft; Internet of Things; exact schedulability analysis; worst-case interference time

Cite as: Liu H B, Yang M F, Qiao L, et al. An efficient schedulability analysis based on worst-case interference time for real-time systems. Sci China Inf Sci, 2024, 67(9): 192103, doi: 10.1007/s11432-022-3891-4

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Deep learning for code generation: a survey
Zhang, Huangzhao; Zhang, Kechi; Li, Zhuo; Li, Jia; Li, Yongmin; Zhao, Yunfei; Zhu, Yuqi; Liu, Fang; Li, Ge; Jin, Zhi
Sci China Inf Sci, 2024, 67(9): 191101

Keywords: code generation; automated software engineering; deep learning; large model; artificial intelligence

Cite as: Zhang H Z, Zhang K C, Li Z, et al. Deep learning for code generation: a survey. Sci China Inf Sci, 2024, 67(9): 191101, doi: 10.1007/s11432-023-3956-3

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Do community responses influence OSS contributor retention? A survival analysis
Wang, Zhe; Li, Zhixing; Yu, Yue
Sci China Inf Sci, 2024, 67(8): 184101

Keywords: open source software; open source community; community response; contributor retention; survival analysis

Cite as: Wang Z, Li Z X, Yu Y. Do community responses influence OSS contributor retention? A survival analysis. Sci China Inf Sci, 2024, 67(8): 184101, doi: 10.1007/s11432-024-4090-0

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Improving actionable warning identification via the refined warning-inducing context representation
Ge, Xiuting; Fang, Chunrong; Li, Xuanye; Zhang, Quanjun; Liu, Jia; Zhao, Zhihong; Chen, Zhenyu
Sci China Inf Sci, 2024, 67(5): 159101

Keywords: Actionable warning identification; Warning representation; Program slicing; Static analysis; Machine learning

Cite as: Ge X T, Fang C R, Li X Y, et al. Improving actionable warning identification via the refined warning-inducing context representation. Sci China Inf Sci, 2024, 67(5): 159101, doi: 10.1007/s11432-023-3975-6

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What can we learn from quality assurance badges in open-source software?
Li, Feng; Lou, Yiling; Tan, Xin; Chen, Zhenpeng; Dong, Jinhao; Li, Yang; Wang, Xuanzhi; Hao, Dan; Zhang, Lu
Sci China Inf Sci, 2024, 67(4): 142103

Keywords: quality assurance; badge; open-source software; code quality; empirical study

Cite as: Li F, Lou Y L, Tan X, et al. What can we learn from quality assurance badges in open-source software?. Sci China Inf Sci, 2024, 67(4): 142103, doi: 10.1007/s11432-022-3611-3

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When debugging encounters artificial intelligence: state of the art and open challenges
Song, Yi; Xie, Xiaoyuan; Xu, Baowen
Sci China Inf Sci, 2024, 67(4): 141101

Keywords: software debugging; fault localization; program repair; artificial intelligence; machine learning

Cite as: Song Y, Xie X Y, Xu B W. When debugging encounters artificial intelligence: state of the art and open challenges. Sci China Inf Sci, 2024, 67(4): 141101, doi: 10.1007/s11432-022-3803-9

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ASTSDL: predicting the functionality of incomplete programming code via an AST-sequence-based deep learning model
Yu, Yaoshen; Huang, Zhiqiu; Shen, Guohua; Li, Weiwei; Shao, Yichao
Sci China Inf Sci, 2024, 67(1): 112105

Keywords: functionality prediction; incomplete programming code; syntactical information; code representation model; deep learning algorithm

Cite as: Yu Y S, Huang Z Q, Shen G H, et al. ASTSDL: predicting the functionality of incomplete programming code via an AST-sequence-based deep learning model. Sci China Inf Sci, 2024, 67(1): 112105, doi: 10.1007/s11432-021-3665-1

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LegoDroid: flexible Android app decomposition and instant installation
Liu, Yi; Ma, Yun; Xiao, Xusheng; Xie, Tao; Liu, Xuanzhe
Sci China Inf Sci, 2023, 66(4): 142103

Keywords: performance; software bloat; instant installation; mobile applications; program analysis

Cite as: Liu Y, Ma Y, Xiao X S, et al. LegoDroid: flexible Android app decomposition and instant installation. Sci China Inf Sci, 2023, 66(4): 142103, doi: 10.1007/s11432-021-3528-7