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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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