Highly Cited Paper RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 32

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: 19

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

PERSPECTIVE Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 7

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

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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

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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

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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

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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

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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: 3

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

Special Focus on Theory and Applications of Models of Computation
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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

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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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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

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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

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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

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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

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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

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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
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

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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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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

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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

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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

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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

Special Focus on Theory and Applications of Models of Computation
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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

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CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation
Shao Y F, Geng Z C, Liu Y T, et al
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

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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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Memory-enhanced text style transfer with dynamic style learning and calibration
Lin F Q, Song Y P, Tian Z L, et al
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

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Robust cooperative multi-agent reinforcement learning via multi-view message certification
Yuan L, Jiang T, Li L H, et al
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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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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Multi-instance partial-label learning: towards exploiting dual inexact supervision
Tang W, Zhang W J, ZHANG M-L
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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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

Special Topic: Evolutionary Learning and Optimization
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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
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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

Special Topic: Evolutionary Learning and Optimization
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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

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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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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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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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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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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

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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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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

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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

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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

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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