张师超 教授 SHICHAO ZHANG

个人简介

张师超，1962年出生，1994年破格晋升教授，2002年 Deakin University 获得博士学位。是2010年海外长江学者（国家千人计划）获得者，2012年当选第十二届全国政协委员。

长期从事 AI 和大数据挖掘研究，在 KNN 分类学习、数据挖掘、数据质量等方面取得系列原创性研究成果，主要包括：KNN提升分类、K值计算、KNN树模型、KNN一步计算和图模型；大数据分块挖掘、非频繁模式和负关联模式、多源数据挖掘、动态数据挖掘、代价敏感分类；不完全信息学习、异质异构数据分类、噪音分析与消除。

围绕上述研究，在 Springer 出版学术专著3部，发表国际期刊论文230多篇、国际会议论文100多篇、国内期刊和会议论文90多篇。根据 Google Scholar，论文被引用22000+次，H指数72，I10指数233。自2014年以来入选 Elsevier 中国高被引学者榜单，自2022年以来入选 ScholarGPS™全球前0.05%顶尖学者，并入选终身科学影响力排行榜和年度科学影响力排行榜。

先后主持国内外国家级项目22项；获得广西自然科学奖一等奖1项，以及其他省部级奖7项。任《数据挖掘与机器学习》创刊主编，曾任 IEEE TKDE、ACM TKDD、Knowledge and Information Systems 和 IEEE Intelligent Informatics Bulletin 副编辑；曾任亚太人工智能等国际会议的会议主席、程序主席或副主席10多次。

研究方向

• KNN 分类学习

• 数据挖掘

• 数据质量

学术经历

1. 2002.12-2004.06
   澳大利亚悉尼科技大学
   访问学者、合作指导博士生
2. 2000.08-2002.04
   澳大利亚 Deakin University
   计算机与数学系，获博士学位
3. 1998.01-2000.12
   新加坡国立大学
   计算机学院博士后研究
4. 1987.07-至今
   广西师范大学
   长期从事教学与科研工作

代表成果

顶级期刊论文（NC1，TPAMI4）

1. Jiaye Li, Hang Xu, Shichao Zhang. Adaptive kNN graph model. Nature Communications. 17, 7491 (2026).

2. Cheng Liang, Wenlan Chen, Lu Gao, Chang-Dong Wang, Shichao Zhang, Fei Guo. Graph-embedded Deep Generative Clustering for Single-cell Multi-omics Data Integration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48(7): 7890-7901 (2026)

3. Jinjing Shi, Wenxuan Wang, Xiaoping Lou, Shichao Zhang, Xuelong Li. Parameterized Hamiltonian Learning with Quantum Circuit. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5): 6086-6095 (2023).

4. Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu. Improved Residual Learning in Diffusion Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48(9): 10991-11006 (2026)

5. Wei Lan, Yinghao Guo, Qingfeng Chen, Shichao Zhang, Shirui Pan, Huiyu Zhou, Yi Pan, Jie Wen. CAFE: Cross-view Adaptive Fusion and Cluster Center Enhancement for Robust Multi-view Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48(10): 13653-13668 (2026)

一级期刊论文（TKDE22，TOIS3，TIP1，TCSVT3，TIFS3，TDSC2，TCAD1）

6. Chunwei Tian, Jingyuan Xie, Qi Zhang, Chao Li, Wangmeng Zuo, Shichao Zhang. A cross-modal network for facial expression recognition. IEEE Transactions on Image Processing, 35: 5311-5323 (2026)

7. Xindong Wu, Chengqi Zhang and Shichao Zhang. Efficient Mining of Both Positive and Negative Association Rules. ACM Transactions on Information Systems， 22(3): 381-405 (2004).

8. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang. Mitigating Propensity Bias of Large Language Models for Recommender Systems. ACM Transactions on Information Systems, 43(6): 1-26 (2025)

9. Wei Lan, Guoxian Zhou, Qingfeng Chen, Wenguang Wang, Shirui Pan, Yi Pan, Shichao Zhang. Contrastive Clustering Learning for Multi-Behavior Recommendation. ACM Transactions on Information Systems, 43(1): 18(1-23) (2025)

10. Huawen Liu, Wenhua Zhou, Zongda Wu, Shichao Zhang, Gang Li, Xuelong Li. Refining Codes for Locality Sensitive Hashing. IEEE Transactions on Knowledge and Data Engineering, 36(3): 1274-1284 (2024).

11. Cheng Liang, Daoyuan Wang, Huaxiang Zhang, Shichao Zhang, Fei Guo. Robust tensor subspace learning for incomplete multi-view clustering. IEEE Transactions on Knowledge and Data Engineering, 36(11): 6934-6948 (2024)

12. Hao Yu, Chengyuan Zhang, Jiaye Li, Shichao Zhang. Robust Sparse Weighted Classification For Crowdsourcing. IEEE Transactions on Knowledge and Data Engineering, 35(8): 8490-8502 (2023).

13. Ping Jiang, xiaoheng Deng, Leilei Wang, Zailiang Chen, Shichao Zhang. Hypergraph Representation for Detecting 3D Objects from Noisy Point Clouds. IEEE Transactions on Knowledge and Data Engineering, 35(7): 7016-7029 (2023).

14. Shichao Zhang, Jiaye Li, Yangding Li. Reachable Distance Function for KNN Classification. IEEE Transactions on Knowledge and Data Engineering, 35(7): 7382-7396 (2023).

15. Jinjing Shi, Zhenhuan Li, Wei Lai, Fangfang Li, Ronghua Shi, Yanyan Feng, Shichao Zhang. Two end-to-end quantum-inspired deep neural networks for text classification. IEEE Transactions on Knowledge and Data Engineering, 35(4): 4335-4345 (2023).

16. Xiaoping Liang, Zhenjun Tang, Ziqing Huang, Xianquan Zhang, Shichao Zhang. Efficient Hashing Method Using 2D-2D PCA for Image Copy Detection. IEEE Transactions on Knowledge and Data Engineering, 35(4): 3765-3778 (2023).

17. Shichao Zhang, Jiaye Li. KNN Classification with One-step Computation. IEEE Transactions on Knowledge and Data Engineering, 35(3): 2711-2723 (2023).

18. Jinjing Shi, Yongze Tang, Yuhu Lu, Yanyan Feng, Ronghua Shi, Shichao Zhang. Quantum Circuit Learning with Parameterized Boson Sampling. IEEE Transactions on Knowledge and Data Engineering, 35(2): 1965-1976 (2023).

19. Shichao Zhang. Challenges in KNN Classification. IEEE Transactions on Knowledge and Data Engineering, 34(10): 4663-4675 (2022).

20. Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, and Yue Gao. Unsupervised Spectral Feature Selection with Dynamic Hyper-graph Learning. IEEE Transactions on Knowledge and Data Engineering, 34(6): 3016-3028 (JUNE 2022).

21. Xianquan Zhang, Xuelong Li, Zhenjun Tang, Shichao Zhang, Shaomin Xie. Noise Removal in Embedded Image with Bit Approximation. IEEE Transactions on Knowledge and Data Engineering, 34(3): 1359-1369 (2022).

22. Xiaofeng Zhu, Jianye Yang, Chengyuan Zhang, Shichao Zhang. Efficient Utilization of Missing Data in Cost-Sensitive Learning. IEEE Transactions on Knowledge and Data Engineering, 33(6): 2425-2436 (2021).

23. Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Wei He, Cong Lei, Pengfei Zhu. One-step Multi-view Spectral Clustering. IEEE Transactions on Knowledge and Data Engineering, 31(10): 2022-2034 (2019).

24. Xiaofeng Zhu, Shichao Zhang, Yonggang Li, Jilian Zhang, Lifeng Yang, Yue Fang. Low-rank Sparse Subspace for Spectral Clustering. IEEE Transactions on Knowledge and Data Engineering, 31(8): 1532-1543 (2019).

25. Zhenjun Tang, Lv Chen, Xianquan Zhang, Shichao Zhang. Robust Image Hashing with Tensor Decomposition. IEEE Transactions on Knowledge and Data Engineering, 31(3): 549-560 (2019).

26. Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Yonghua Zhu, Jingkuan Song. Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection. IEEE Transactions on Knowledge and Data Engineering, 30(3): 517-529(2018).

27. Zhenjun Tang, Xianquan Zhang, Shichao Zhang. Robust perceptual image hashing based on ring partition and NMF. IEEE Transactions on Knowledge and Data Engineering, 26(3): 711-724 (2014).

28. Xiaofeng Zhu, Shichao Zhang, Zhi Jin, Zili Zhang, Zhuoming Xu. Missing Value Estimation for Mixed-Attribute Datasets. IEEE Transactions on Knowledge and Data Engineering, 23(1): 110-121 (2011).

29. Shichao Zhang, Zhenxing Qin, Charles Ling, Shengli Sheng. "Missing is Useful": Missing Values in Cost-sensitive Decision Trees. IEEE Transactions on Knowledge and Data Engineering, Vol. 17 No. 12 (2005): 1689-1693.

30. Yanchang Zhao and Shichao Zhang. Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis. IEEE Transactions on Knowledge and Data Engineering, Vol. 18(2), Feb. 2006: 231-244.

31. Xindong Wu and Shichao Zhang. Synthesizing High-Frequency Rules from Different Data Sources. IEEE Transactions on Knowledge and Data Engineering, 15(2003): 353-367.

32. Jiaye Li, Hang Xu, Gang Chen, Shichao Zhang. Quantum Multi-View Feature Selection With Configurable Kernel Circuits and Adaptive Fusion. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 45(9): 4436-4449 (2026)

33. Cheng Liang, Daoyuan Wang, Fei Guo, Shichao Zhang. Incomplete multi-view clustering via robust representation learning and tensor-based co-regularization. IEEE Transactions on Circuits and Systems for Video Technology, 36(6): 8142-8155 (2026)

34. Lei Zhu, Runbing Wu, Xinghui Zhu, Chengyuan Zhang, Lin Wu, Shichao Zhang, Xuelong Li. Bi-Direction Label-Guided Semantic Enhancement for Cross-Modal Hashing. IEEE Transactions on Circuits and Systems for Video Technology, 35(5): 3983-3999 (2025)

35. Chunwei Tian, Menghua Zheng, Bo Li, Yanning Zhang, Shichao Zhang, David Zhang. Perceptive Self-Supervised Learning Network for Noisy Image Watermark Removal. IEEE Transactions on Circuits and Systems for Video Technology, 34(8): 7069-7079 (2024).

36. Jinjing Shi, Xuanli Lyu, Tian Chen, Shichao Zhang, Xuelong Li. Robust Quantum Federated Learning Against Colluding and Non-Colluding Byzantine Attacks. IEEE Transactions on Information Forensics & Security, 21: 7188-7201 (2026)

37. Qin Li, Jiajie Wu, Junyu Quan, Jinjing Shi, Shichao Zhang. Efficient Quantum Blockchain with a Consensus Mechanism QDPoS. IEEE Transactions on Information Forensics & Security, 17: 3264-3276 (2022).

38. Zhenjun Tang, Xianquan Zhang, Xianxian Li, Shichao Zhang. Robust Image Hashing with Ring Partition and Invariant Vector Distance. IEEE Transactions on Information Forensics & Security, 11(1): 200-214 (2016).

39. Xiyao Liu, Ziping Ma, Jian Zhang, Gerald Schaefer, Kehua Guo, Yuesheng Zhu, Shichao Zhang. Robust and Diversified Image Steganography Without Embedding Through a Disentanglement Autoencoder. IEEE Trans. Dependable Secur. Comput. 23(3): 6037-6053 (2026)

40. Xiaoping Lou, Huiru Zan, Zidong Wang, Jinjing Shi and Shichao Zhang. Privacy-Preserving Bidirectional Data Transmission of Smart Grid via Semi-Quantum Computation: On Mutual Identity and Message Authentication. IEEE Transactions on Dependable and Secure Computing, 22(5): 5537-5548 (2025)

CCF-A和Trans

41. Lei Zhu, Mengxi Ying, Chengyuan Zhang, Deyin Liu, Lin Yuanbo Wu, Shichao Zhang, Xuelong Li. Multi-Modal Refined Prompting for Advancing Knowledge-Based Visual Question Answering. IEEE Transactions on Multimedia, 28:3444-3457 (2026)

42. Qi Zhang, Weiqiang Xin, Shuai Wu, Qi Zhu, Qiya Song, Shichao Zhang. A Cluster Tree Network for Image Super-Resolution. IEEE Transactions on Consumer Electronics, 71(4): 11967-11976 (2025)

43. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang. Towards Fair Graph Representation Learning by Overcoming Social Homophily. ACM Transactions on Intelligent Systems and Technology, 17(2): 36:1-36:25 (2026).

44. Yi Li, Debo Cheng, Guixian Zhang, Chengyu Li, Shichao Zhang. Graph Unlearning System with Subgraph De-Isolation Measures. ACM Transactions on Autonomous and Adaptive Systems, 21(1): 9:1-9:25 (2026).

45. Jingjing Zhang, Xiaoheng Deng, Jian Yin, Xianjun Deng, Xuechen Chen, Jinsong Gui, Shichao Zhang. E2E Hybrid Computation Offloading for Complex MEC System. IEEE Transactions on Mobile Computing, 25(2): 2561-2576 (2026).

46. Wenxuan Wang, Jinjing Shi,Nan Guan, Shichao Zhang, Xuelong Li. QGHNN: A quantum graph Hamiltonian neural network. IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1): 830-843 (2026).

47. Jinjing Shi, Bingjie Yuan, Yuhu Lu, Shichao Zhang, Xuelong Li. Quantum Option Profit and Loss Encoding for Risk Assessment. IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1): 571-582 (2026).

48. Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoff Webb, Shichao Zhang. Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach. IEEE Transactions on Neural Networks and Learning Systems, 36(10): 18463-18477 (2025).

49. Jinjing Shi, Renxin Zhao, Wenxuan Wang, Shichao Zhang, XueLong Li. QSAN: A Near-term Achievable Quantum Self-Attention Network. IEEE Transactions on Neural Networks and Learning Systems, 36(8): 13995-14008 (AUGUST 2025).

50. Shichao Zhang, Pengfei Xi, Mengqi Jiang, Guixian Zhang, Debo Cheng. Latent Representation Learning for Attribute Graph Anomaly Detection. ACM Transactions on Knowledge Discovery from Data, 19(7): 127(1-22) (Aug 2025).

51. Jiaye Li, Jiagang Song, Jinjing Shi, Hang Xu, Hao Yu, Gang Chen, Shichao Zhang, Robust Quantum Feature Selection With Sparse Optimization Circuit. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 44(7): 2613-2626 (Jul 2025).

52. Zehong Wang, Donghua Yu, Shigen Shen, Shichao Zhang, Huawen Liu, Shuang Yao, Maozu Guo. Select Your Own Counterparts: Self-supervised Graph Contrastive Learning with Positive Sampling. IEEE Transactions on Neural Networks and Learning Systems, 36(4): 6858-6872 (2025)

53. Jiaye Li, Jiagang Song, Shichao Zhang. Piecewise Weighting Function for Collaborative Filtering Recommendation. ACM Transactions on Autonomous and Adaptive Systems, 20(1), article 6: 1-28 (2025).

54. Xiyao Liu, Cundian Yang, Jianbiao He, Hui Fang, Gerald Schaefer, Jian Zhang, Yuesheng Zhu, Shichao Zhang. Attack-Defending Contrastive Learning for Volumetric Medical Image Zero-Watermarking. ACM Transactions on Multimedia Computing, Communications, and Applications, 21(2): 62:1-62:23 (2025)

55. Jiaye Li, Jinjing Shi, Jian Zhang, Yuhu Lu, Qin Li, Chunlin Yu, Shichao Zhang. Quantum Nearest Neighbor Collaborative Filtering algorithm for Recommendation System. ACM Transactions on Knowledge Discovery from Data, 18(8), 201: 1-28 (2024).

56. Jiaye Li, Yangding Li, Jiagang Song, Jian Zhang, Shichao Zhang. Quantum Support Vector Machine for Classifying Noisy Data. IEEE Transactions on Computers, 73(9): 2233-2247 (2024).

57. Jinjing Shi, Tian Chen, Wei La, Shichao Zhang, XueLong Li. Pre-trained Quantum-inspired Deep Neural Network for Natural Language Processing. IEEE Transactions on Cybernetics, 54(10): 5973-5985 (2024).

58. Qin Li, Junyu Quan, Jinjing Shi, Shichao Zhang, Xuelong Li. Secure delegated variational quantum algorithms. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 43(10): 3129-3142 (2024).

59. Huawen Liu, Wenhua Zhou, Hong Zhang, Gang Li, Shichao Zhang, Xuelong Li. Bit Reduction for Locality-Sensitive Hashing. IEEE Transactions on Neural Networks and Learning Systems, 35(9): 12470-12481 (2024)

60. Wei Lan, Tianchuan Yang, Qingfeng Chen, Shichao Zhang, Yi Dong, Huiyu Zhou. Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph. IEEE Transactions on Neural Networks and Learning Systems, 35(8): 11382-11395 (2024).

61. Jiaye Li, Jian Zhang, Jilian Zhang, Shichao Zhang. Quantum KNN Classification with K Value Selection and Neighbor Selection. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 43(5): 1332-1345 (2024).

62. Guixian Zhang and Shichao Zhang, Guan Yuan. Bayesian Graph Local Extrema Convolution with Long-Tail Strategy for Misinformation Detection. ACM Transactions on Knowledge Discovery from Data, 18(4): 89:1-89:21 (2024).

63. Rongjiao Liang, Shichao Zhang, Wenzhen Zhang, Guixian Zhang, and Jinyun Tang. Nonlocal Hybrid Network for Long-tailed Image Classification. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 20(4): 108:1-108:22 (2024).

64. Ping Jiang, xiaoheng Deng, Shaohua Wan, Huamei Qi, Shichao Zhang. Confidence-Enhanced Mutual Knowledge for Uncertain Segmentation. IEEE Transactions on Intelligent Transportation Systems, 25(1): 725-737 (2024)

65. Fangfang Li, Zhi Liu, Junwen Duan, Xingliang Mao, Heyuan Shi, Shichao Zhang. Exploiting Conversation-Branch-Tweet HyperGraph Structure to Detect Misinformation on Social Media. ACM Transactions on Knowledge Discovery from Data, 18(2): 33:1-33:20 (2024).

66. Huawen Liu, Xiaodan Xu, Enhui Li, Shichao Zhang, Xuelong Li. Anomaly Detection with Representative Neighbors. IEEE Transactions on Neural Networks and Learning Systems, 34(6): 2831-2841 (2023).

67. Faliang Huang, Xuelong Li, Changan Yuan, Shichao Zhang, Jilian Zhang, Shaojie Qiao. Attention-emotion-enhanced Convolutional LSTM for Sentiment Analysis. IEEE Transactions on Neural Networks and Learning Systems, 33(9): 4332-4345 (2022-9).

68. Jianliang Gao, Xiaoting Ying, Cong Xu, Jianxin Wang, Shichao Zhang, Zhao Li: Graph-Based Stock Recommendation by Time-Aware Relational Attention Network. ACM Transactions on Knowledge Discovery from Data, 16(1): 4:1 - 4:21 (2022).

69. Huawen Liu, Enhui Li, Xinwang Liu, Kaile Su, Shichao Zhang. Anomaly Detection with Kernel Preserving Embedding. ACM Transactions on Knowledge Discovery from Data, 15(5): 91:1-91:18 (2021)

70. Chengyuan Zhang, Jiayu Song, Xiaofeng Zhu, Lei Zhu, and Shichao Zhang. HCMSL: Hybrid Cross-Modal Similarity Learning for Cross-Modal Retrieval. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 17(1s):1-22 (2021)

71. Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, Yang Yang. Sparse Graph Connectivity for Image Segmentation. ACM Transactions on Knowledge Discovery from Data, 14(4): 46:1-46:19 (2020).

72. Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang. Self-weighted Multi-view Fuzzy Clustering. ACM Transactions on Knowledge Discovery from Data, 14(4): 48:1-48:17 (2020).

73. Huawen Liu, Xuelong Li, Shichao Zhang, Qi Tian. Adaptive Hashing with Sparse Matrix Factorization. IEEE Transactions on Neural Networks and Learning Systems, 31(10):4318-4329 (2020).

74. Huawen Liu, Xuelong Li, Jiuyong Li, Shichao Zhang. Efficient Outlier Detection Method for High-dimensional Data. IEEE Transactions on Systems, Man, and Cybernetics: Systems (SMC-A), 48(12): 2451-2461 (2018).

75. Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Ruili Wang. Efficient kNN Classification with Different Numbers of Nearest Neighbors. IEEE Transactions on Neural Networks and Learning Systems, 29(5): 1774-1785 (2018).

76. Faliang Huang, Xuelong Li, Shichao Zhang, Jilian Zhang. Harmonious Genetic Clustering. IEEE Transactions on Cybernetics, 48(1): 199-214 (2018).

77. Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Zongben Xu, Litao Yu, and Can Wang. Graph PCA Hashing for similarity search. IEEE Transactions on Multimedia, 19(9): 2033-2044 (2017).

78. Faliang Huang, Xuelong Li, Shichao Zhang, Jilian Zhang, Jinhui Chen, Zhi-nian Zhai. Overlapping Community Detection for Multimedia Social Networks. IEEE Transactions on Multimedia, 19(8): 1881-1893 (2017).

79. Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Chunhua Ju, Xindong Wu. Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection. IEEE Transactions on Neural Networks and Learning Systems, 28(6): 1263-1275 (2017).

80. Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, and Debo Cheng. Learning k for kNN Classification. ACM Transactions on Intelligent Systems and Technology, Vol 8(3) 43:1-19 (2017).

81. Huawen Liu, Xuelong Li, Shichao Zhang. Learning Instance Correlation Functions for Multi-label Classification. IEEE Transactions on Cybernetics, 47(2): 499-510 (2017).

82. Xiaofeng Zhu, Xuelong Li, Shichao Zhang. Block-Row Sparse Multiview Multilabel Learning for Image Classification. IEEE Transactions on Cybernetics, 46(2): 450-461 (2016).

83. Shichao Zhang. Detecting Differences between Contrast Groups. IEEE Transactions on Information Technology in Biomedicine, Vol 12(6): 739-745 (2008).

84. Shichao Zhang and Chengqi Zhang. Encoding the Propagation in Belief Networks. IEEE Transactions on Systems, Man and Cybernetics (Part A), Vol. 32 No. 4(2002): 526-531.

85. Shichao Zhang and Chengqi Zhang. Anytime Mining for Multi-User Applications. IEEE Transactions on Systems, Man and Cybernetics (Part A), Vol. 32 No. 4(2002): 515-521.

权威期刊

86. Yangding Li, Jiawei Chai, Wenjie Zhang, Changwei Li, Xiangchao Zhao, Bingbing Xu, Shichao Zhang. HetDualCL: Dual-encoder contrastive learning for heterogeneous graphs. Neural Networks, 203: 109205 (2026)

87. Qingfeng Chen, Wujie Wei, Debo Cheng, Chuxun Liu, Jinyi Jie, Jiangzhang Gan, Shichao Zhang. Learning fair graph representation through graph information disentanglement. Neural Networks, 203: 109184 (2026)

88. Boyan Chen, Guixian Zhang, Jinyi Jie, Debo Cheng, Shichao Zhang. Fairness-Aware Graph Learning via Adaptive Manifold Structure and Representation Alignment. Pattern Recognition, 180: 114293 (2026)

89. Hao Yu, Jiaye Li, Shichao Zhang. Self-paced learning for crowdsourcing. Inf. Fusion 135: 104364 (2026)

90. Wei Lan, Yinghao Guo, Qingfeng Chen, Shichao Zhang, Shirui Pan, Huiyu Zhou, Yi Pan. Coordinator: Semantic-coordinated dynamic fusion for multi-view clustering. Inf. Fusion 132: 104239 (2026)

91. Guangquan Lu, Shilong Lin, Yuxuan Hu, Debo Cheng, Chen Li, Shichao Zhang. Data augmentation with attentional feature aggregation for node classification in GNNs. Information Fusion, 130: 104089 (June 2026).

92. Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu, Guixian Zhang. Learning Instrumental Variable Representation for Debiasing in Recommender Systems. Neural Networks, 193: 107977 (January 2026).

93. Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang. Toward fair graph neural networks via dual-teacher knowledge distillation. Neural Networks, 194: 108184 (2026)

94. Hao Yu, Shichao Zhang, Jiaye Li, Chengqing Li. Semi-Supervised Majority Voting for Crowdsourcing. Information Fusion, 125: 103412 (January 2026).

95. Yangding Li, Xiangchao Zhao, Yangyang Zeng, Hao Feng, Jiawei Chai, Hao Xie, Shaobin Fu, Shichao Zhang. Node Transfer with Graph Contrastive Learning for Class-Imbalanced Node Classifcation. Neural Networks, 190: 107674 (October 2025)

96. Ludan He, Debo Cheng, Guixian Zhang, Shichao Zhang. Leveraging Long-range Nodes in Multi-view Graph Contrastive Learning. Information Fusion, 122: 103186 (2025).

97. Tairan Huang, Qiutong Li, Cong Xu, Jianliang Gao, Zhao Li, Shichao Zhang. Revisiting low-homophily for graph-based fraud detection. Neural Networks, 188: 107407 (August 2025)

98. Yangding Li, Yangyang Zeng, Xiangchao Zhao, Jiawei Chai, Hao Feng, Shaobin Fu, Cui Ye, Shichao Zhang. GNN-transformer contrastive learning explores homophily. Information Processing and Management, 62(4): 104103 (2025)

99. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang. Disentangled contrastive learning for fair graph representations. Neural Networks, Vol 181: 106781 (2025).

100. Huawen Liu, Shichao Zhang, Zongda Wu, Xuelong Li. Outlier detection using Local Density and Global Structure. Pattern Recognition, 157: 110947 (2025).

101. Ze Tao, Haowei Li, Jian Zhang, Shichao Zhang. Multi-level Knowledge Distillation via DynamicDecision Boundaries Exploration and Exploitation. Information Fusion, 112: 102586 (2024).

102. Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang. Learning Fair Representations via Rebalancing Graph Structure. Information Processing and Management, 61(1): 103570 (2024).

103. Chunwei Tian, Menghua Zheng, Wangmeng Zou, Shichao Zhang, Yanning Zhang, Chia-Wen Lin. A cross Transformer for image denoising. Information Fusion, 102 (2024), 102043.

104. Chunwei Tian, Yixuan Yuan, Shichao Zhang, Chia-Wen Lin, Wangmeng Zuo, David Zhang. Image super-resolution with an enhanced group convolutional neural network. Neural Networks, 153: 373-385 (2022)

105. Huawen Liu, Zongjie Ma, Shichao Zhang, Xindong Wu. Penalized Partial Least Square Discriminant Analysis with l1-norm for Multi-label Data. Pattern Recognition, 48(5): 1724–1733, 2015.

106. Alan Tao Wang, Zhenxing Qin, Shichao Zhang, Chengqi Zhang. Cost-sensitive classification with inadequate labeled data. Information Systems, 37(5): 508–516 (2012).

107. Xindong Wu, Chengqi Zhang and Shichao Zhang. Database Classification for Multi-Database Mining. Information Systems, 30(2005): 71-88.

108. Shichao Zhang, Chengqi Zhang, Xiaowei Yan. Post-mining: maintenance of association rules by weighting. Information Systems, Vol 28(7), Oct. 2003: 691-707.

109. Shichao Zhang and Mohammed J. Zaki. Mining Multiple Data Sources: Local Pattern Analysis. Data Mining and Knowledge Discovery, 12(2-3): 121-125 (2006).

110. Kaile Su, Huijing Huang, Xindong Wu and Shichao Zhang. A logical framework for identifying quality knowledge from different data sources. Decision Support Systems, Vol 42/3, pp 1673-1683 (2006).

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