李佳烨 Jiaye Li

^* 通讯作者 · ^# 共同第一作者

其它第一作者及通讯作者论文

1. 2026

   Hang Xu, Jiaye Li*, Hao Yu, Jian Zhang, and Shichao Zhang. “Noise-Tolerant Multi-View Feature Selection.” Knowledge and Information Systems, 68, 61. CCF B

2. 2025

   Jiagang Song, Hang Xu, Jiaye Li*, and Shichao Zhang. “Demand-Driven kNN Classification.” Knowledge-Based Systems, 327, 114090. 中科院一区

3. 2024

   Hang Xu and Jiaye Li*. “Efficient Discriminative Feature Selection With Grouping Relative Comparison.” Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 81–96.

4. 2023

   Jiaye Li, Hang Xu, Hao Yu, Weixin Li, and Shichao Zhang*. “Anti-Noise Multi-View Feature Selection With Sample Constraints.” IEEE International Conference on Data Mining (ICDM), 259–268. CCF B

5. 2022

   Shichao Zhang, Jiaye Li*, Wenzhen Zhang, and Yongsong Qin. “Hyper-Class Representation of Data.” Neurocomputing, 503, 200–218. JCR 一区

6. 2022

   Jiaye Li, Hang Xu, Hao Yu*, Zhihao Jiang, and Lei Zhu. “Multi-Modal Feature Selection With Anchor Graph for Alzheimer’s Disease.” Frontiers in Neuroscience.

7. 2022

   Jiangzhang Gan#, Jiaye Li#, and Yangcai Xie. “Robust SVM for Cost-Sensitive Learning.” Neural Processing Letters, 54(4), 2737–2758.

8. 2020

   Jiaye Li, Shichao Zhang, Leyuan Zhang, Cong Lei, and Jilian Zhang. “Unsupervised Nonlinear Feature Selection Algorithm via Kernel Function.” Neural Computing and Applications, 32(11), 6443–6454.

9. 2019

   Jiaye Li#, Lin Wu#, Guoqiu Wen, and Zhi Li. “Exclusive Feature Selection and Multi-View Learning for Alzheimer’s Disease.” Journal of Visual Communication and Image Representation, 102605.

10. 2019

    Jiaye Li, Hao Yu, Leyuan Zhang, and Guoqiu Wen. “Double Weighted K-Nearest Voting for Label Aggregation in Crowdsourcing Learning.” Multimedia Tools and Applications, 78(23), 33357–33374.

11. 2019

    李佳烨, 张乐园, 雷聪. “基于核函数的低秩非线性属性选择算法.” 计算机工程与设计, 40(9), 2537–2543, 2563.

12. 2019

    李佳烨, 余浩. “基于K近邻的众包数据分类算法.” 计算机应用研究. doi: 10.19734/j.issn.1001-3695.2018.09.0736.

13. 2019

    李佳烨, 张乐园, 雷聪, 甘江璋, 吕治政. “基于局部结构学习的非线性属性选择算法.” 计算机应用研究. doi: 10.19734/j.issn.1001-3695.2018.07.0524.

14. 2018

    Jiaye Li, Xiaofeng Zhu, Jiangzhang Gan, Leyuan Zhang, Shanwen Zhang, and Shichao Zhang. “Unsupervised Feature Selection Algorithm via Local Structure Learning and Kernel Function.” 18th International Conference on Electronic Business, 721–730. 最佳论文奖.

其他合作论文

15. 2026

    Hao Yu, Jiaye Li, and Shichao Zhang. “Self-Paced Learning for Crowdsourcing.” Information Fusion, 104364. 中科院一区

16. 2026

    Hao Yu, Shichao Zhang, Jiaye Li, and Chengqing Li. “Semi-Supervised Majority Voting for Crowdsourcing.” Information Fusion, 125(1), 1–15. 中科院一区

17. 2026

    Wenzhen Zhang, Debo Cheng, Jiaye Li, and Shichao Zhang. “One-Step Negative Learning via Structured Suppression for Robust Classification With Noisy Labels.” Knowledge-Based Systems, 335, 115173. 中科院一区

18. 2026

    Ziyue Wang, Zhiwei Ye, Gongsheng Yuan, Mengying Zhu, Jiaye Li, Guanjie Cheng, and Ling Qian. “Scalable Hybrid Quantum-Classical Optimization for the Traveling Salesman Problem.” 3rd Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, 1–2.

19. 2025

    Wenzhen Zhang, Debo Cheng, Guangquan Lu, Bo Zhou, Jiaye Li, and Shichao Zhang. “Efficient Adaptive Label Refinement for Label Noise Learning.” Neurocomputing, 639, 130305.

20. 2023

    Hao Yu, Chengyuan Zhang, Jiaye Li, and Shichao Zhang*. “Robust Sparse Weighted Classification for Crowdsourcing.” IEEE Transactions on Knowledge and Data Engineering. CCF A

21. 2022

    Hao Yu, Jiaye Li, Zhaojiang Wu, Hang Xu, and Lei Zhu*. “Two-Step Learning for Crowdsourcing Data Classification.” Multimedia Tools and Applications.

22. 2022

    Bo Zhou, Yangding Li, Xincheng Huang, and Jiaye Li. “Self-Adaptive Clustering of Dynamic Multi-Graph Learning.” Neural Processing Letters, 54(4), 2533–2548.

23. 2021

    许航, 张师超, 吴兆江, 李佳烨. “噪音数据的属性选择算法.” 软件学报, 32(11), 3440–3451.

24. 2020

    Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, and Shichao Zhang. “Spectral Clustering via Half-Quadratic Optimization.” World Wide Web, 23(3), 1969–1988.

25. 2020

    Linjun Chen, Guangquan Lu, Yangding Li, Jiaye Li, and Malong Tan. “Local Structure Preservation for Nonlinear Clustering.” Neural Processing Letters.

26. 2019

    Pengqing Li, Xuelian Deng, Leyuan Zhang, Jiangzhang Gan, Jiaye Li, and Yonggang Li. “Sparse Learning Based on Clustering by Fast Search and Find of Density Peaks.” Multimedia Tools and Applications.

27. 2019

    Leyuan Zhang, Yangding Li, Jilian Zhang, Pengqing Li, and Jiaye Li. “Nonlinear Sparse Feature Selection Algorithm via Low Matrix Rank Constraint.” Multimedia Tools and Applications, 78, 33319–33337.

28. 2019

    Shanwen Zhang, Meiling Liu, Jiaye Li, and Leyuan Zhang. “An Efficient Feature Selection Algorithm Based on Kernel Function.” IEEE Symposium Series on Computational Intelligence, 2649–2655.

29. 2019

    Linjun Chen, Guangquan Lu, Guoqiu Wen, Jiaye Li, and Malong Tan. “A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning.” IEEE Symposium Series on Computational Intelligence, 2603–2607.

30. 2019

    Leyuan Zhang, Meiling Liu, Rifeng Wang, Tingting Du, and Jiaye Li. “Multi-View Unsupervised Feature Selection With Dynamic Sample Space Structure.” IEEE Symposium Series on Computational Intelligence, 2641–2648.