计算机 人工智能 REVIEW Website SpringerLink Google Scholar Cited in SCI: 28

Sentiment analysis using deep learning approaches: an overview
Habimana, Olivier; Li, Yuhua; Li, Ruixuan; Gu, Xiwu; Yu, Ge
Sci China Inf Sci, 2020, 63(1): 111102
Keywords: sentiment analysis; opinion mining; deep learning; neural network; natural language processing (nlp); social network
Cite as: Habimana O, Li Y H, Li R X, et al. Sentiment analysis using deep learning approaches: an overview. Sci China Inf Sci, 2020, 63(1): 111102, doi: 10.1007/s11432-018-9941-6

计算机 人工智能 RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 13

Snapshot boosting: a fast ensemble framework for deep neural networks
Zhang, Wentao; Jiang, Jiawei; Shao, Yingxia; Cui, Bin
Sci China Inf Sci, 2020, 63(1): 112102
Keywords: ensemble learning; deep learning; boosting; neural network; snapshot ensemble
Cite as: Zhang W T, Jiang J W, Shao Y X, et al. Snapshot boosting: a fast ensemble framework for deep neural networks. Sci China Inf Sci, 2020, 63(1): 112102, doi: 10.1007/s11432-018-9944-x

计算机 人工智能 RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 10

On some aspects of minimum redundancy maximum relevance feature selection
Bugata, Peter; Drotar, Peter
Sci China Inf Sci, 2020, 63(1): 112103
Keywords: big data; information theory; feature selection; dimensionality reduction; minimum redundancy maximum relevance; mrmr
Cite as: Bugata P, Drotar P. On some aspects of minimum redundancy maximum relevance feature selection. Sci China Inf Sci, 2020, 63(1): 112103, doi: 10.1007/s11432-019-2633-y

计算机 人工智能 PERSPECTIVE Website SpringerLink Google Scholar Cited in SCI: 8

Why over-parameterization of deep neural networks does not overfit?
Zhou, Zhi-Hua
Sci China Inf Sci, 2021, 64(1): 116101
Keywords: deep neural networks; perspective; ai; over-parameterization; machine learning
Cite as: Zhou Z-H. Why over-parameterization of deep neural networks does not overfit?. Sci China Inf Sci, 2021, 64(1): 116101, doi: 10.1007/s11432-020-2885-6

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Multi-dimensional classification via stacked dependency exploitation
Jia, Bin-Bin; Zhang, Min-Ling
Sci China Inf Sci, 2020, 63(12): 222102
Keywords: machine learning; multi-dimensional classification; class dependencies; deterministic strategy; stacked dependency exploitation
Cite as: Jia B-B, Zhang M-L. Multi-dimensional classification via stacked dependency exploitation. Sci China Inf Sci, 2020, 63(12): 222102, doi: 10.1007/s11432-019-2905-3

计算机 人工智能 POSITION PAPER Website SpringerLink Google Scholar Cited in SCI: 6

Graph algorithms: parallelization and scalability
Fan, Wenfei; He, Kun; Li, Qian; Wang, Yue
Sci China Inf Sci, 2020, 63(10): 203101
Keywords: parallelization; parallel scalability; ptime problems; graph algorithms; shared-nothing systems
Cite as: Fan W F, He K, Li Q, et al. Graph algorithms: parallelization and scalability. Sci China Inf Sci, 2020, 63(10): 203101, doi: 10.1007/s11432-020-2952-7

计算机 人工智能 LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 6

RGA-CNNs: convolutional neural networks based on reduced geometric algebra
Wang, Rui; Shen, Miaomiao; Wang, Xiangyang; Cao, Wenming
Sci China Inf Sci, 2021, 64(2): 129101
Keywords: convolutional neural networks; cnns; reduced geometric algebra; rga; multivectors; learning algorithm; multi-dimensional data
Cite as: Wang R, Shen M M, Wang X Y, et al. RGA-CNNs: convolutional neural networks based on reduced geometric algebra. Sci China Inf Sci, 2021, 64(2): 129101, doi: 10.1007/s11432-018-1513-5

Special Focus on Weakly Supervised Learning
计算机 人工智能 RESEARCH PAPER Website SpringerLink Google Scholar Homepage Cited in SCI: 6

Crowdsourcing aggregation with deep Bayesian learning
Li, Shao-Yuan; Huang, Sheng-Jun; Chen, Songcan
Sci China Inf Sci, 2021, 64(3): 130104
Keywords: crowdsourcing; classification; fully bayesian deep generative models; natural gradient; stochastic variational inference
Cite as: Li S-Y, Huang S-J, Chen S C. Crowdsourcing aggregation with deep Bayesian learning. Sci China Inf Sci, 2021, 64(3): 130104, doi: 10.1007/s11432-020-3118-7

Special Focus on Weakly Supervised Learning
计算机 人工智能 RESEARCH PAPER Website SpringerLink Google Scholar Homepage Cited in SCI: 5

Learning from group supervision: the impact of supervision deficiency on multi-label learning
Xu, Miao; Guo, Lan-Zhe
Sci China Inf Sci, 2021, 64(3): 130101
Keywords: multi-label learning; weakly supervised leaning; weakly supervised multi-label learning; query strategy; group supervision
Cite as: Xu M, Guo L-Z. Learning from group supervision: the impact of supervision deficiency on multi-label learning. Sci China Inf Sci, 2021, 64(3): 130101, doi: 10.1007/s11432-020-3132-4

Special Focus on Weakly Supervised Learning
计算机 人工智能 RESEARCH PAPER Website SpringerLink Google Scholar Homepage Cited in SCI: 4

Few-shot text classification by leveraging bi-directional attention and cross-class knowledge
Pang, Ning; Zhao, Xiang; Wang, Wei; Xiao, Weidong; Guo, Deke
Sci China Inf Sci, 2021, 64(3): 130103
Keywords: text classification; meta-learning; few-shot learning; bi-directional attention; cross-class knowledge
Cite as: Pang N, Zhao X, Wang W, et al. Few-shot text classification by leveraging bi-directional attention and cross-class knowledge. Sci China Inf Sci, 2021, 64(3): 130103, doi: 10.1007/s11432-020-3055-1

Special Focus on Weakly Supervised Learning
计算机 人工智能 RESEARCH PAPER Website SpringerLink Google Scholar Homepage Cited in SCI: 4

Deep graph cut network for weakly-supervised semantic segmentation
Feng, Jiapei; Wang, Xinggang; Liu, Wenyu
Sci China Inf Sci, 2021, 64(3): 130105
Keywords: semantic segmentation; weakly-supervised learning; semi-supervised learning; graph cut
Cite as: Feng J P, Wang X G, Liu W Y. Deep graph cut network for weakly-supervised semantic segmentation. Sci China Inf Sci, 2021, 64(3): 130105, doi: 10.1007/s11432-020-3065-4

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An effective scheme for top-k frequent itemset mining under differential privacy conditions
Liang, Wenjuan; Chen, Hong; Zhang, Jing; Zhao, Dan; Li, Cuiping
Sci China Inf Sci, 2020, 63(5): 159101
Keywords: count estimation; weighted reservoir sampling; fim; sensitivity; differential privacy
Cite as: Liang W J, Chen H, Zhang J, et al. An effective scheme for top-k frequent itemset mining under differential privacy conditions. Sci China Inf Sci, 2020, 63(5): 159101, doi: 10.1007/s11432-018-9849-y

计算机 人工智能 RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 2

Collaborative deep learning across multiple data centers
Mi, Haibo; Xu, Kele; Feng, Dawei; Wang, Huaimin; Zhang, Yiming; Zheng, Zibin; Chen, Chuan; Lan, Xu
Sci China Inf Sci, 2020, 63(8): 182102
Keywords: collaborative learning; multiple datacenters; distributed machine learning
Cite as: Mi H B, Xu K L, Feng D W, et al. Collaborative deep learning across multiple data centers. Sci China Inf Sci, 2020, 63(8): 182102, doi: 10.1007/s11432-019-2705-2

Special Focus on Weakly Supervised Learning
计算机 人工智能 RESEARCH PAPER Website SpringerLink Google Scholar Homepage Cited in SCI: 2

Deep multiple instance selection
Li, Xin-Chun; Zhan, De-Chuan; Yang, Jia-Qi; Shi, Yi
Sci China Inf Sci, 2021, 64(3): 130102
Keywords: multiple instance learning; instance selection; gumbel softmax; variance normalization; hard attention
Cite as: Li X-C, Zhan D-C, Yang J-Q, et al. Deep multiple instance selection. Sci China Inf Sci, 2021, 64(3): 130102, doi: 10.1007/s11432-020-3117-3

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Semi-supervised local feature selection for data classification
Li, Zechao; Tang, Jinhui
Sci China Inf Sci, 2021, 64(9): 192108
Keywords: local feature selection; label-specific feature; semi-supervised learning; data classification; discriminative feature
Cite as: Li Z C, Tang J H. Semi-supervised local feature selection for data classification. Sci China Inf Sci, 2021, 64(9): 192108, doi: 10.1007/s11432-020-3063-0

计算机 人工智能 LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 1

Reinforcement learning with actor-critic for knowledge graph reasoning
Zhang, Linli; Li, Dewei; Xi, Yugeng; Jia, Shuai
Sci China Inf Sci, 2020, 63(6): 169101
Keywords: knowledge graph reasoning; knowledge graph completion; reinforcement learning; knowledge graph; graph theory
Cite as: Zhang L L, Li D W, Xi Y G, et al. Reinforcement learning with actor-critic for knowledge graph reasoning. Sci China Inf Sci, 2020, 63(6): 169101, doi: 10.1007/s11432-018-9820-3

计算机 人工智能 LETTER Website SpringerLink Google Scholar Cited in SCI: 1

An accelerator for the logistic regression algorithm based on sampling on-demand
Liang, Jiye; Song, Yunsheng; Li, Deyu; Wang, Zhiqiang; Dang, Chuangyin
Sci China Inf Sci, 2020, 63(6): 169102
Keywords: logistic regression; sampling on-demand; sample size; gradient descent; training time
Cite as: Liang J Y, Song Y S, Li D Y, et al. An accelerator for the logistic regression algorithm based on sampling on-demand. Sci China Inf Sci, 2020, 63(6): 169102, doi: 10.1007/s11432-018-9832-y

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Important sampling based active learning for imbalance classification
Wang, Xinyue; Liu, Bo; Cao, Siyu; Jing, Liping; Yu, Jian
Sci China Inf Sci, 2020, 63(8): 182104
Keywords: imbalance classification; important sampling; active learning; oversampling; undersampling
Cite as: Wang X Y, Liu B, Cao S Y, et al. Important sampling based active learning for imbalance classification. Sci China Inf Sci, 2020, 63(8): 182104, doi: 10.1007/s11432-019-2771-0

计算机 人工智能 LETTER Website SpringerLink Google Scholar Cited in SCI: 1

Tensor restricted isometry property analysis for a large class of random measurement ensembles
Zhang, Feng; Wang, Wendong; Hou, Jingyao; Wang, Jianjun; Huang, Jianwen
Sci China Inf Sci, 2021, 64(1): 119101
Keywords: compressed sensing; low rank tensor recovery; tensor restricted isometry property; machine learning; tensor sparsity
Cite as: Zhang F, Wang W D, Hou J Y, et al. Tensor restricted isometry property analysis for a large class of random measurement ensembles. Sci China Inf Sci, 2021, 64(1): 119101, doi: 10.1007/s11432-019-2717-4

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SPAR: set-based piecewise aggregate representation for time series anomaly detection
Zhan, Peng; Hu, Yupeng; Chen, Lin; Luo, Wei; Li, Xueqing
Sci China Inf Sci, 2021, 64(4): 149101
Keywords: time series; multi-domain; representation; anomaly detection; data mining
Cite as: Zhan P, Hu Y P, Chen L, et al. SPAR: set-based piecewise aggregate representation for time series anomaly detection. Sci China Inf Sci, 2021, 64(4): 149101, doi: 10.1007/s11432-020-3021-6

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Differential identifiability clustering algorithms for big data analysis
Shang, Tao; Zhao, Zheng; Ren, Xujie; Liu, Jianwei
Sci China Inf Sci, 2021, 64(5): 152101
Keywords: differential identifiability; differential privacy; k-means; k-prototypes; big data
Cite as: Shang T, Zhao Z, Ren X J, et al. Differential identifiability clustering algorithms for big data analysis. Sci China Inf Sci, 2021, 64(5): 152101, doi: 10.1007/s11432-020-2910-1

计算机 人工智能 LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 1

Real-time bottleneck matching in spatial crowdsourcing
Li, Long; Wang, Lingling; Lv, Weifeng
Sci China Inf Sci, 2021, 64(8): 189101
Keywords: spatial crowdsourcing; online bottleneck matching; competitive ratio analysis; task assignment; online bipartite matching
Cite as: Li L, Wang L L, Lv W F. Real-time bottleneck matching in spatial crowdsourcing. Sci China Inf Sci, 2021, 64(8): 189101, doi: 10.1007/s11432-019-3061-x

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A clustering-based flexible weighting method in AdaBoost and its application to transaction fraud detection
Yang, Chaofan; Liu, Guanjun; Yan, Chungang; Jiang, Changjun
Sci China Inf Sci, 2021, 64(12): 222101
Keywords: ensemble learning; adaboost; clustering; misclassification degree; transaction fraud detection
Cite as: Yang C F, Liu G J, Yan C G, et al. A clustering-based flexible weighting method in AdaBoost and its application to transaction fraud detection. Sci China Inf Sci, 2021, 64(12): 222101, doi: 10.1007/s11432-019-2739-2

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Topic-sensitive neural headline generation
Ayana; Wang, Ziyun; Xu, Lei; Liu, Zhiyuan; Sun, Maosong
Sci China Inf Sci, 2020, 63(8): 182103
Keywords: neural networks; sequence to sequence learning; topic; lda; headline generation
Cite as: Ayana, Wang Z Y, Xu L, et al. Topic-sensitive neural headline generation. Sci China Inf Sci, 2020, 63(8): 182103, doi: 10.1007/s11432-019-2657-8

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On the convergence and improvement of stochastic normalized gradient descent
Zhao, Shen-Yi; Xie, Yin-Peng; Li, Wu-Jun
Sci China Inf Sci, 2021, 64(3): 132103
Keywords: non-convex problems; stochastic normalized gradient descent; computation complexity
Cite as: Zhao S-Y, Xie Y-P, Li W-J. On the convergence and improvement of stochastic normalized gradient descent. Sci China Inf Sci, 2021, 64(3): 132103, doi: 10.1007/s11432-020-3023-7

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Keywords: encoder-decoder; multi-scale; attention; handwritten mathematical expression recognition; attention recurrent neural network; dense network
Cite as: Shan G C, Wang H Y, Liang W, et al. Robust encoder-decoder learning framework for offline handwritten mathematical expression recognition based on a multi-scale deep neural network. Sci China Inf Sci, 2021, 64(3): 139101, doi: 10.1007/s11432-018-9824-9

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Syntax-guided text generation via graph neural network
Guo, Qipeng; Qiu, Xipeng; Xue, Xiangyang; Zhang, Zheng
Sci China Inf Sci, 2021, 64(5): 152102
Keywords: text generation; deep learning; graph neural network; dependency parsing
Cite as: Guo Q P, Qiu X P, Xue X Y, et al. Syntax-guided text generation via graph neural network. Sci China Inf Sci, 2021, 64(5): 152102, doi: 10.1007/s11432-019-2740-1

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Future vehicles: interactive wheeled robots
Ma, Nan; Li, Deyi; He, Wen; Deng, Yue; Li, Jiahong; Gao, Yue; Bao, Hong; Zhang, Huan; Xu, Xinkai; Liu, Yuansheng; Wu, Zhixuan; Chen, Li
Sci China Inf Sci, 2021, 64(5): 156101
Keywords: interactive cognition; evolution growth; wheeled robots; prior knowledge; driving skills
Cite as: Ma N, Li D Y, He W, et al. Future vehicles: interactive wheeled robots. Sci China Inf Sci, 2021, 64(5): 156101, doi: 10.1007/s11432-020-3171-4

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EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search
Fang, Jiemin; Chen, Yukang; Zhang, Xinbang; Zhang, Qian; Huang, Chang; Meng, Gaofeng; Liu, Wenyu; Wang, Xinggang
Sci China Inf Sci, 2021, 64(9): 192106
Keywords: architecture transfer; neural architecture search; evolutionary algorithm; large-scale dataset
Cite as: Fang J M, Chen Y K, Zhang X B, et al. EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search. Sci China Inf Sci, 2021, 64(9): 192106, doi: 10.1007/s11432-020-3112-8

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Large scale air pollution prediction with deep convolutional networks
Huang, Gao; Ge, Chunjiang; Xiong, Tianyu; Song, Shiji; Yang, Le; Liu, Baoxian; Yin, Wenjun; Wu, Cheng
Sci China Inf Sci, 2021, 64(9): 192107
Keywords: air pollution prediction; artificial intelligence; convolutional neural network
Cite as: Huang G, Ge C J, Xiong T Y, et al. Large scale air pollution prediction with deep convolutional networks. Sci China Inf Sci, 2021, 64(9): 192107, doi: 10.1007/s11432-020-2951-1

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Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension
Ma, Di; Chen, Songcan
Sci China Inf Sci, 2021, 64(9): 199101
Keywords: compressed sensing; blind compressed sensing; semi-blind compressed sensing; adaptive dictionary learning; incremental learning
Cite as: Ma D, Chen S C. Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension. Sci China Inf Sci, 2021, 64(9): 199101, doi: 10.1007/s11432-019-9945-2

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Representation learning on textual network with personalized PageRank
Li, Teng; Dou, Yong
Sci China Inf Sci, 2021, 64(11): 212102
Keywords: representation learning; network embedding; pagerank; textual network; personalized pagerank
Cite as: Li T, Dou Y. Representation learning on textual network with personalized PageRank. Sci China Inf Sci, 2021, 64(11): 212102, doi: 10.1007/s11432-020-2934-6

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Learning dynamics of kernel-based deep neural networks in manifolds
Wu, Wei; Jing, Xiaoyuan; Du, Wencai; Chen, Guoliang
Sci China Inf Sci, 2021, 64(11): 212103
Keywords: learning dynamics; kernel-based convolution; manifolds; control model; network stability
Cite as: Wu W, Jing X Y, Du W C, et al. Learning dynamics of kernel-based deep neural networks in manifolds. Sci China Inf Sci, 2021, 64(11): 212103, doi: 10.1007/s11432-020-3022-3

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State and tendency: an empirical study of deep learning question&answer topics on Stack Overflow
Zhao, Henghui; Li, Yanhui; Liu, Fanwei; Xie, Xiaoyuan; Chen, Lin
Sci China Inf Sci, 2021, 64(11): 212105
Keywords: topic model; deep learning; stack overflow; question&answer
Cite as: Zhao H H, Li Y H, Liu F W, et al. State and tendency: an empirical study of deep learning question&answer topics on Stack Overflow. Sci China Inf Sci, 2021, 64(11): 212105, doi: 10.1007/s11432-019-3018-6

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Dual-axial self-attention network for text classification
Zhang, Xiaochuan; Qiu, Xipeng; Pang, Jianmin; Liu, Fudong; Li, Xingwei
Sci China Inf Sci, 2021, 64(12): 222102
Keywords: text classification; dual-axial self-attention; feature-axial dependency
Cite as: Zhang X C, Qiu X P, Pang J M, et al. Dual-axial self-attention network for text classification. Sci China Inf Sci, 2021, 64(12): 222102, doi: 10.1007/s11432-019-2744-2

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Accelerated value iteration via Anderson mixing
Li, Yujun
Sci China Inf Sci, 2021, 64(12): 222105
Keywords: reinforcement learning; q-learning; value iteration; anderson acceleration; deep neural networks
Cite as: Li Y J. Accelerated value iteration via Anderson mixing. Sci China Inf Sci, 2021, 64(12): 222105, doi: 10.1007/s11432-019-2889-x

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Truthfully coordinating participation routes in informative participatory sensing
Chen, Shaofei; Zhao, Dengji; Zenonos, Alexandros; Chen, Jing; Shen, Lincheng
Sci China Inf Sci, 2021, 64(12): 222106
Keywords: coordinating participation routes, informative participatory sensing, incentive mechanism, computationally efficient
Cite as: Chen S F, Zhao D J, Zenonos A, et al. Truthfully coordinating participation routes in informative participatory sensing. Sci China Inf Sci, 2021, 64(12): 222106, doi: 10.1007/s11432-019-2730-8

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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

Special Focus on Theory and Applications of Models of Computation
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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

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

Special Focus on Theory and Applications of Models of Computation
计算机 人工智能 LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 0

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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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

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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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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

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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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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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Extending generalized unsupervised manifold alignment
Yin X Y, Cui Z, Chang H, et al
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

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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