Highly Cited in 202407 Hot Paper RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 88

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: 41

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 17

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

Highly Cited in 202407 REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 16

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: 13

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: 12

Deepwalk-aware graph convolutional networks
Jin, Taisong; Dai, Huaqiang; Cao, Liujuan; Zhang, Baochang; Huang, Feiyue; Gao, Yue; Ji, Rongrong
Sci China Inf Sci, 2022, 65(5): 152104
Keywords: graph; convolutional networks; global information; fusion; node classification
Cite as: Jin T S, Dai H Q, Cao L J, et al. Deepwalk-aware graph convolutional networks. Sci China Inf Sci, 2022, 65(5): 152104, doi: 10.1007/s11432-020-3318-5

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

PERSPECTIVE Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

Geometric deep learning: progress, applications and challenges
Cao, Wenming; Zheng, Canta; Yan, Zhiyue; Xie, Weixin
Sci China Inf Sci, 2022, 65(2): 126101
Keywords: geometric deep learning; manifold deep learning; cnn; graph convolutional neural networks; high-dimensional information
Cite as: Cao W M, Zheng C T, Yan Z Y, et al. Geometric deep learning: progress, applications and challenges. Sci China Inf Sci, 2022, 65(2): 126101, doi: 10.1007/s11432-020-3210-2

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

Robust model selection for positive and unlabeled learning with constraints
Wei, Tong; Wang, Hai; Tu, Weiwei; Li, Yufeng
Sci China Inf Sci, 2022, 65(11): 212101
Keywords: positive and unlabeled learning; model selection; automated machine learning
Cite as: Wei T, Wang H, Tu W W, et al. Robust model selection for positive and unlabeled learning with constraints. Sci China Inf Sci, 2022, 65(11): 212101, doi: 10.1007/s11432-020-3167-1

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

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

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

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: 8

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: 7

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: 7

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

NEWS & VIEWS Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 7

ZOOpt: a toolbox for derivative-free optimization
Liu, Yu-Ren; Hu, Yi-Qi; Qian, Hong; Qian, Chao; Yu, Yang
Sci China Inf Sci, 2022, 65(10): 207101
Keywords: Derivative-free optimization; Hyper-parameter optimization; Non-convex optimization; Distributed optimization; Software
Cite as: Liu Y-R, Hu Y-Q, Qian H, et al. ZOOpt: a toolbox for derivative-free optimization. Sci China Inf Sci, 2022, 65(10): 207101, doi: 10.1007/s11432-021-3416-y

LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 5

Knowledge transferred adaptive filter pruning for CNN compression and acceleration
Guo, Lihua; Chen, Dawu; Jia, Kui
Sci China Inf Sci, 2022, 65(12): 229101
Keywords: network compression; network acceleration; filter pruning; knowledge transferred learning; knowledge distillation
Cite as: Guo L H, Chen D W, Jia K. Knowledge transferred adaptive filter pruning for CNN compression and acceleration. Sci China Inf Sci, 2022, 65(12): 229101, doi: 10.1007/s11432-020-3162-4

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

Attribute augmented and weighted naive Bayes
Zhang, Huan; Jiang, Liangxiao; Li, Chaoqun
Sci China Inf Sci, 2022, 65(12): 222101
Keywords: naive Bayes; attribute augmentation; attribute weighting; attribute conditional independence; classification
Cite as: Zhang H, Jiang L X, Li C Q. Attribute augmented and weighted naive Bayes. Sci China Inf Sci, 2022, 65(12): 222101, doi: 10.1007/s11432-020-3277-0

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: 4

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

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

Strongly adaptive online learning over partial intervals
Wan, Yuanyu; Tu, Wei-Wei; Zhang, Lijun
Sci China Inf Sci, 2022, 65(10): 202101
Keywords: online learning; strongly adaptive; changing environments; weighing method; regret bound
Cite as: Wan Y Y, Tu W-W, Zhang L J. Strongly adaptive online learning over partial intervals. Sci China Inf Sci, 2022, 65(10): 202101, doi: 10.1007/s11432-020-3273-9

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

Incomplete multi-view clustering via local and global co-regularization
Liang, Jiye; Liu, Xiaolin; Bai, Liang; Cao, Fuyuan; Wang, Dianhui
Sci China Inf Sci, 2022, 65(5): 152105
Keywords: incompleteness; multi-view clustering; local clustering; global clustering; co-regularization
Cite as: Liang J Y, Liu X L, Bai L, et al. Incomplete multi-view clustering via local and global co-regularization. Sci China Inf Sci, 2022, 65(5): 152105, doi: 10.1007/s11432-020-3369-8

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

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

LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Example-guided stylized response generation in zero-shot setting
Bai, Guirong; He, Shizhu; Liu, Kang; Zhao, Jun
Sci China Inf Sci, 2022, 65(4): 149103
Keywords: example-guided; style; response generation; low-resource; zero-shot
Cite as: Bai G R, He S Z, Liu K, et al. Example-guided stylized response generation in zero-shot setting. Sci China Inf Sci, 2022, 65(4): 149103, doi: 10.1007/s11432-020-3212-x

Special Focus on Theory and Applications of Models of Computation
LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

On book thickness parameterized by the vertex cover number
Liu, Yunlong; Chen, Jie; Huang, Jingui
Sci China Inf Sci, 2022, 65(4): 140603
Keywords: book thickness; vertex cover number; linear order; 1-page embedding graph; kernel
Cite as: Liu Y L, Chen J, Huang J G. On book thickness parameterized by the vertex cover number. Sci China Inf Sci, 2022, 65(4): 140603, doi: 10.1007/s11432-021-3405-x

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

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

Densely-connected neural networks for aspect term extraction
Chen, Chen; Wang, Houfeng; Zhu, Qingqing; Liu, Junfei
Sci China Inf Sci, 2022, 65(6): 169103
Keywords: aspect term extraction; recurrent neural network; self-attention; densely-connected network; double word embeddings; aspect-based sentiment analysis; deep learning; sequence labeling
Cite as: Chen C, Wang H F, Zhu Q Q, et al. Densely-connected neural networks for aspect term extraction. Sci China Inf Sci, 2022, 65(6): 169103, doi: 10.1007/s11432-019-2775-9

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

Health care data analysis and visualization using interactive data exploration for sportsperson
Liu, Hao; Zhang, Yang; Lian, Ke; Zhang, Yifei; Sanjuan Martinez, Oscar; Gonzalez Crespo, Ruben
Sci China Inf Sci, 2022, 65(6): 162101
Keywords: artificial intelligence; health monitoring; data visualization; data analysis; athletics
Cite as: Liu H, Zhang Y, Lian K, et al. Health care data analysis and visualization using interactive data exploration for sportsperson. Sci China Inf Sci, 2022, 65(6): 162101, doi: 10.1007/s11432-021-3412-9

Special Focus on Theory and Applications of Models of Computation
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Regularized two-stage submodular maximization under streaming
Yang, Ruiqi; Xu, Dachuan; Guo, Longkun; Zhang, Dongmei
Sci China Inf Sci, 2022, 65(4): 140602
Keywords: submodular maximization; streaming model; two-stage; threshold technique; approximation algorithms
Cite as: Yang R Q, Xu D C, Guo L K, et al. Regularized two-stage submodular maximization under streaming. Sci China Inf Sci, 2022, 65(4): 140602, doi: 10.1007/s11432-020-3420-9

Special Focus on Theory and Applications of Models of Computation
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

An approximation algorithm for lower-bounded k-median with constant factor
Wu, Xiaoliang; Shi, Feng; Guo, Yutian; Zhang, Zhen; Huang, Junyu; Wang, Jianxin
Sci China Inf Sci, 2022, 65(4): 140601
Keywords: approximation algorithm; k-median; lower-bounded k-median
Cite as: Wu X L, Shi F, Guo Y T, et al. An approximation algorithm for lower-bounded k-median with constant factor. Sci China Inf Sci, 2022, 65(4): 140601, doi: 10.1007/s11432-021-3411-7

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

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: 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 Cited in SCI: 1

Extending generalized unsupervised manifold alignment
Yin, Xiaoyi; Cui, Zhen; Chang, Hong; Ma, Bingpeng; Shan, Shiguang
Sci China Inf Sci, 2022, 65(7): 172103
Keywords: unsupervised manifold alignment; relaxed integer programming; Frank Wolfe algorithm
Cite as: Yin X Y, Cui Z, Chang H, et al. Extending generalized unsupervised manifold alignment. Sci China Inf Sci, 2022, 65(7): 172103, doi: 10.1007/s11432-019-3019-3

LETTER Webpage Webpage-cn SpringerLink Google Scholar

Multi-dimensional ability diagnosis for machine learning algorithms
Liu Q, Gong Z, Huang Z Y, et al
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Curvature flow learning: algorithm and analysis
Li, Yangyang; Lu, Ruqian
Sci China Inf Sci, 2022, 65(9): 192105
Keywords: metric learning; Riemannian metric; curvature; flow learning; manifold learning
Cite as: Li Y Y, Lu R Q. Curvature flow learning: algorithm and analysis. Sci China Inf Sci, 2022, 65(9): 192105, doi: 10.1007/s11432-020-3068-7

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

Unlabeled data driven cost-sensitive inverse projection sparse representation-based classification with 1/2 regularization
Yang, Xiaohui; Wang, Zheng; Sun, Jian; Xu, Zongben
Sci China Inf Sci, 2022, 65(8): 182102
Keywords: unlabeled-data driven; 1/2 regularization; cost-sensitive; inverse projection; sparse representation-based classification
Cite as: Yang X H, Wang Z, Sun J, et al. Unlabeled data driven cost-sensitive inverse projection sparse representation-based classification with 1/2 regularization. Sci China Inf Sci, 2022, 65(8): 182102, doi: 10.1007/s11432-021-3319-4