车杭骏, 博士,副教授,硕士生导师,IEEE高级会员、CCF高级会员、CAA会员,ACM会员、国家教育部学位论文通讯评审专家,入选全球前2%顶尖科学家“年度科学影响力”榜单(2025年)、新重庆创新青年人才计划、重庆市留学人员回国创新支持计划。主要研究领域为人工智能与数据挖掘,具体研究方向包括:多视图学习、无监督\半监督学习、稀疏信号处理、神经动力学优化方法及应用。在IEEE-TII、IEEE-TNNLS、IEEE/ACM-TCBB、IEEE-TCSS、IEEE-TCAS-I、IEEE-TSPIN、IEEE-TCE、IEEE-TETCI、IEEE-IoT、IEEE-SPL、ACM MM等人工智能领域权威期刊及CCF A类顶会上发表论文90余篇,入选ESI高被引论文6篇。出版学术专著1部,获得7项软件著作权,授权/申请国家发明专利8项。主持国家自然科学基金面上项目、青年项目、新重庆创新青年人才项目、重庆市自然科学基金面上项目等多项相关研究课题。曾获第44届中国控制会议最佳组织奖,2024川渝科技学术大会优秀论文三等奖,ICNC2024最佳论文奖,重庆市优秀硕士论文奖,香港城市大学杰出学术表现奖(2018, 2019)等荣誉。
教授课程:信号与系统,人工智能导论,现代优化技术(研究生),模式识别(研究生)
联系方式:hjche123@swu.edu.cn 办公地址:42教学楼322
教育背景
· 重庆邮电大学 电子信息工程专业 工学学士学位
· 西南大学 信号与信息处理专业 工学硕士学位
· 香港城市大学 计算机科学专业 哲学博士学位 (UGC全额资助)
科研/工作经历
· 西南大学 电子信息工程学院 副教授 2019.12-至今
· 香港城市大学 计算机科学系 研究助理 2022.1-2022.2
· 香港都会大学 科技学院 研究助理 2022.3-2022.4
主持项目
l 国家自然科学基金面上项目 62476229 2025-01至 2028-12
l 国家自然科学基金青年项目 62003281 2021-01至 2023-12
l 新重庆青年创新人才项目 2024NSCQ-qncxX0133 2025-01至 2027-12
l 重庆市自然科学基金面上项目 cstc2021jcyj-msxmX1169 2021-10至 2024-09
l 重庆市教委科学技术研究计划青年项目 KJQN202200207 2022-10至 2025-09
l 重庆市教委科学技术研究计划青年项目 KJQN202400203 2024-10 至 2027-09
l 国家民委重点实验室开放课题 CPFIC202303 2023-06 至 2024-12
l 重庆市留学人员回国创业创新支持计划项目 2023-10 至 2025-09
l 中央高校基本科研业务费-重点发展项目 SWU-KF25003 2025-07至 2027-06
l 西南大学人才引进项目 SWU020006 2020-07至2022-12
近年代表性成果
[1]Che, H., & Wang, J. (2019). A two-timescale duplex neurodynamic approach to biconvex optimization[J]. IEEE Transactions on Neural Networks and Learning Systems, 30(8), 2503-2514.
[2] Che, H., & Wang, J. (2021). A two-timescale duplex neurodynamic approach to mixed-integer optimization[J]. IEEE Transactions on Neural Networks and Learning Systems, 32(1), 36-48. (ESI 高被引论文)
[3] Che, H., &Wang, J. (2023). Bicriteria sparse nonnegative matrix factorization via two-timescale duplex neurodynamic optimization[J]. IEEE Transactions on Neural Networks and Learning Systems, 34(8), 4881 - 4891.
[4] Che, H., Pan, B., Leung, M., Cao, Y., Yan, Z. (2023).Tensor factorization with sparse and graph regularization for fake news detection on social networks[J]. IEEE Transactions on Computational Social Systems. Accepted. DOI: 10.1109/TCSS.2023.3296479.
[5] Che,H.*, Li, C., Leung, M., Ouyang, D., Dai, X., Wen S. (2024). Robust hypergraph regularized deep non-negative matrix factorization for multi-view clustering[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, Accepted. DOI: 10.1109/TETCI.2024.3451352.
[6] Che, H.*, & Yang, X. (2024). A multi-kernel-based multi-view deep non-negative matrix factorization for enhanced healthcare data clustering[J]. IEEE Transactions on Consumer Electronics. Accepted.DOI: 10.1109/TCE.2024.3440485.
[7] Che, H.*, Li, C.,Pan, B., Cao, Y. (2024). Diversity embedding deep optimal graph regularized non-negative matrix factorization for robust multi-view clustering[J]. IEEE Transactions on Computational Social Systems. Accepted. DOI: 10.1109/TCSS.2024.3457527.
[8] Che, H.*, Guo, W., Leung, M., Cao, Y., Liu, C. (2025). Robust diverse multi-view learning for cancer subtyping[J]. IEEE Transactions on Computational Biology and Bioinformatics. Accepted. DOI: 10.1109/TCBBIO.2025.3599217.
[9] Che, H. , Zhou, Q. Yang, X. Zhao Y.and Leung, M. (2025) . Federated Fuzzy C-Means for Multi-layer Network Community Detection in Industrial Internet-of-Things [J]. IEEE Internet of Things Journal. Accepted. DOI: 10.1109/JIOT.2025.3604107.
[10] Yang, X., Che, H*., Leung, M., Wen S. (2024).Unbalanced Incomplete Multi-view Unsupervised Feature Selection with Low-redundancy Constraint in Low-Dimensional Space [J]. IEEE Transactions on Industrial Informatics. Accepted. DOI: 10.1109/TII.2024.3514152.
[11] Yang, X., Che, H*., Leung, M., Liu, C.,Wen S. (2024).Auto-weighted Multi-view Deep Non-negative Matrix Factorization with Multi-kernel Learning [J]. IEEE Transactions on Signal and Information Processing over Networks. Accepted. DOI: 10.1109/TSIPN.2024.3511262.
[12] Guo, W., Che H*, Leung M F.(2024). Tensor-based adaptive consensus graph learning for multi-view clustering[J]. IEEE Transactions on Consumer Electronics,70(2), 4767 - 4784. (ESI 高被引论文)
[13] Pu, X., Che, H*., Pan, B., Leung, M., Wen S. (2024).Robust weighted low-rank tensor approximation for multi-view clustering with mixed noise[J]. IEEE Transactions on Computational Social Systems, 11(3), 3268 - 3285.
[14] Pan, B & Che, H.*. (2025). Robust Deep Matrix Factorization with Low-rank and Hypergraph Learning for Multi-view Data Processing[J]. IEEE Transactions on Consumer Electronics. Accepted.DOI: 10.1109/TCE.2025.3525523.
[15] Zhou, Q., Che, H.*, Guo, W., He, X., Leung, M., Wen S. (2025). Robust low-rank tensor constrained orthogonal symmetric non-negative matrix factorization for multi-layer networks community detection [J]. IEEE Transactions on Emerging Topics in Computational Intelligence, Accepted. DOI: 10.1109/TETCI.2025.3572129.
[16] Zhang, W., Zhu, H., Che, H.*, Wang, X., Li, H., Li, H. (2025). Bipartite Synchronization of Fractional-Order Multi-Layer Signed Network With a Non-Autonomous Leader [J]. IEEE Transactions on Circuits and Systems I: Regular Papers, Accepted. DOI: 10.1109/TCSI.2025.3580665.
[17] Che, H.*, Zhou, Q., Yang, Y., Han, Y., Li, H., He, X. (2025). Orthogonal Symmetric Nonnegative Matrix Factorization With Low-Rank Tensor Representation for Multilayer Network Community Detection [J]. IEEE Transactions on Computational Social Systems, Accepted. DOI: 10.1109/TCSS.2025.3580987.
[18] Che, H., Pu, X.,Ouyang, D., Li, B. (2024, December). Enhanced tensorial self-representation subspace learning for incomplete multi-view clustering. In Proceedings of the 27th ACM International Conference on Multimedia.Accepted. DOI:https://doi.org/10.1145/3664647.3681573(CCF A类会议)
[19] 车杭骏, 李程潞, 潘柏丞 ; 基于深度非负矩阵分解的多视图聚类方法、设备和介质, 2023-9-15, 中国, 2023111926169 (专利,已授权)
[20] 车杭骏, 王欣, 郭伟, 潘柏丞, 何兴, 李鸿一; 基于多样性准则下多视图聚类的癌症亚型检测方法, 2024-6-21, 中国, 2024108087295 (专利,已授权)
[21] 车杭骏, 潘柏丞, 杨暄皓, 郭伟, 巨兴兴 ; 具有超图约束非凸低秩张量逼近的多视图子空间聚类方 法, 2023-10-30, 中国, 2023114185572 (专利,已公开)
[22]车杭骏, 杨暄皓, 潘柏丞, 郭伟; 基于自步学习的多视图数据无监督特征选择方法及装置, 2024-2-19, 中国, 2024101828075 (专利,已公开)
[23] 车杭骏, 王欣, 潘柏丞, 张伟, 杨暄皓, 何兴; 李鸿一;基于低秩约束和超图学习的多视图学习方法、设备及介质,2024-09-09,中国,202411255998X (专利,已公开)
[24]车杭骏, 周乾龙, 赵友, 李维御, 苏靖峰, 何兴;一种重叠社区检测方法、系统、设备及介质, 2025-09-29, 中国, 2025113981441(专利,已公开)
[25] 王欣; 车杭骏; 广维维; 李华青; 李鸿一;具有未知滞后的多智能体系统固定时间最优控制方法,
2024-06-24,中国,2024108218126(专利,已公开)
[26] 巨兴兴; 杨鑫松; 韩信; 王殿伟; 张倩; 孙亚平; 车杭骏;基于固定时间时变神经动力学优化的稀疏信号重构方法,2023-11-29,中国,2023116160512(专利,已公开)
学术兼职及社会服务
国际期刊Data Technologies and Applications (Editorial Advisory Board Member )顾问编委
国际期刊Intelligent Systems with Applications (Associate Editor) 副编辑
国际期刊Journal of Social Computing(Young Editorial Board Member)青年编委
国际期刊CAAI Artificial Intelligence Research(Young Editorial Board Member)青年编委