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李华雄
教授 必赢
学位：博士 职务：控制科学与智能工程系主任
联系电话： 电子邮箱：huaxiongli@nju.edu.cn
办公地址：协鑫楼404
 
  • 个人简介
  • 研究方向
  • 科研（教学）奖励
  • 论文发表
  • 专著出版
  • 科研项目
  • 社会兼职
  • 荣誉称号
  • 专利发明
 

  •       李华雄，必赢、加拿大University of Regina联合培养博士，必赢教授、博士生导师，香港大学访问学者。IEEE/ACM/CAAI高级会员，CCF杰出会员。

          现任必赢控制科学与智能工程系主任, 中国自动化学会(CAA)系统仿真专委会委员，江苏省自动化学会（JSAA）理事，中国人工智能学会（CAAI）粒计算与知识发现专委会常务委员、机器学习专委会委员，中国计算机学会（CCF）人工智能与模式识别专委会执行委员、计算机视觉专委会委员，江苏省人工智能学会（JSAI）模式识别专委会委员，江苏省第六期“333高层次人才培养工程”培养对象，国际粗糙集学会（IRSS）高级会员。

    科研工作：先后主持国家自然科学基金项目3项，主持国家重点研发计划项目子项、江苏省自然科学基金面上项目、教育部博士点基金项目、教育部产学合作项目等项目10余项，参与国家自然科学基金重点项目、国家重点研发计划项目等项目10余项，在IEEE TPAMI, TKDE, TNNLS, TMM, TCYB, TCSVT, TFS, PR, ACM TKDD, ACM KDD, ACM MM, ICML, ICLR, AAAI, IJCAI,《中国科学: 信息科学》,《自动化学报》,《模式识别与人工智能》等国内外期刊和会议上发表学术论文100余篇，Google Scholar论文引用4500余次，先后8篇论文入选ESI高被引论文，入选2023年度全球前2%高被引科学家榜单，出版专著2部，获2023年度江苏省自动化学会科学技术奖二等奖（排名1/4）等科研奖项。

    教学工作：主讲课程包括《自动控制原理》、《现代控制理论》、《线性系统理论》、《工程矩阵论》等。指导本科生获2016中国教育机器人大赛特等奖，获2016、2019必赢中国银行优秀教学成果奖，指导研究生获评“2022年度江苏省优秀学术硕士学位论文”、“2024年度必赢优秀学术硕士学位论文”。目前的研究兴趣和方向：围绕“控制科学与工程”一级学科下的“模式识别与智能系统”二级学科方向，包括机器学习与智能控制、模式识别、数据挖掘、工业智能、跨模态检索、多模态学习、多视图学习、哈希学习、小样本学习、对比学习、深度学习、粒计算与知识发现、机器学习中的交替优化方法等。每年招收硕士生5名左右（学硕+专硕），博士生1-2名，主要招收有意从事学术论文工作的研究生。

    招收研究生要求：自动化类、电子信息类、计算机类、数学类、物理类等理工科专业背景均可；具有强烈的科研兴趣、科研爱好、科研热情和内驱力、肯吃苦。欢迎数学成绩突出、英语功底扎实，Python、Matlab编程能力强、有一定成果发表基础、有志于投身学术事业，对智能控制理论和方法、机器学习与数据挖掘、模式识别与人工智能、粒计算与知识发现、图像处理、工业智能等方向有兴趣的优秀学子加入我们团队（Email: huaxiongli@nju.edu.cn）.


    Selected Publications:

    • C. Zhang, D. Xu, C. L. Chen, H. X. Li*. Semi-supervised multi-view clustering with active constraints. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM KDD), 2025, In Press.

    • D. Xu, C. Zhang*, C. Guo, C. L. Chen, H. X. Li*. Fast incomplete multi-view clustering with adaptive similarity completion and reconstruction. AAAI Conference on Artificial Intelligence (AAAI), 2025, In Press.

    • Y. N. Lu, W. W. Li, D. Liu, H. X. Li, X. Y. Jia*. Adaptive-grained label distribution learning. AAAI Conference on Artificial Intelligence (AAAI), 2025, In Press.  

    • F. T. Lei, C. Zhang, H. X. Li*, Y. Gao, C. L. Chen. Label distribution guided hashing for cross-modal retrieval. ACM Transactions on Knowledge Discovery from Data (TKDD), 2024, doi: doi.org/10.1145/3697353.   

    • D. Xu, C. Zhang*, Z. C. Li, C. L. Chen, H. X. Li. Fast disentangled slim tensor learning for multi-view clustering. IEEE Transactions on Multimedia (TMM), 2024, In Press.   

    • C. Zhang, H. X. Chen, H. X. Li*, C. L. Chen. Learning latent disentangled embeddings and graphs for multi-view clustering. Pattern Recognition (PR), 2024, 156: 110839, doi: 10.1016/j.patcog.2024.110839.

    • C. Zhang, D. Xu, X. Y. Jia, C. L. Chen, H. X. Li*. Continual multi-view clustering with consistent anchor guidance. International Joint Conference on Artificial Intelligence (IJCAI), 2024, 5434-5442.

    • Z. C. Hu, Z. Z. Zhang, H. X. Li, C. L. Chen, H. Y. Ding, Z. Wang*. Attention-guided contrastive role representations for multi-agent reinforcement learning. International Conference on Learning Representations (ICLR), 2024.

    • C. Zhang, X. Y. Jia, Z. C. Li, C. L. Chen, H. X. Li*. Learning cluster-wise anchors for multi-view clustering. AAAI Conference on Artificial Intelligence (AAAI), 2024, 38(15): 16696-16704.  

    • Y. X. Sun, Y. B. Li, H. X. Li, J. B. Liu*, X. Z. Zhou. Intuitionistic fuzzy MADM in wargame leveraging with deep reinforcement learning. IEEE Transactions on Fuzzy Systems (TFS), 2024, 32(9): 5033-5045.

    • C. Zhang, H. X. Li, C. H. Chen, X. Y. Jia, C. L. Chen*. Low-rank tensor regularized views recovery for incomplete multiview clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024, 35(7): 9312-9324.

    • H. X. Chen, Z. X. Gu, Y. H. Li, C. H. Meng, W. Q. Wang*, H. X. Li*. Hierarchical dynamic image harmonization. ACM International Conference on Multimedia (ACM MM), 2023, 1422-1430.

    • C. Zhang, J. W. Wei, B. Wang, Z. C. Li, C. L. Chen, H. X. Li*. Robust spectral embedding completion based incomplete multi-view clustering. ACM International Conference on Multimedia (ACM MM), 2023, 300–308.

    • H. X. Chen, H. X. Li*, Y. H. Li, C. L. Chen. Sparse spatial transformers for few-shot learning. SCIENCE CHINA Information Sciences (Sci China Inf Sci), 2023, 66(11): 210102.

    • Z. Z. Huang, H. X. Chen, Z. Q. Wen, C. Zhang, H. X. Li*, B. Wang, C. L. Chen. Model-aware contrastive learning: Towards escaping dilemmas. International Conference on Machine Learning (ICML), 2023, 202: 13774-13790.

    • C. Zhang, H. X. Li*, W. Lv, Z. Z. Huang, Y. Gao, C. L. Chen. Enhanced tensor low-rank and sparse representation recovery for incomplete multi-view clustering. AAAI Conference on Artificial Intelligence (AAAI), 2023, 37(9): 11174-11182.

    • W. Lv, C. Zhang*, H. X. Li, X. Y. Jia, C. L. Chen. Joint projection learning and tensor decomposition-based incomplete multiview clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023, doi: 10.1109/TNNLS.2023.3306006.

    • Y. N. Lu, W. W. Li, H. X. Li, X. Y. Jia*. Predicting label distribution from tie-allowed multi-label ranking. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, doi: 10.1109/TPAMI.2023.3300310.

    • H. X. Li*, C. Zhang, X. Y. Jia, Y. Gao, C. L. Chen. Adaptive label correlation based asymmetric discrete hashing for cross-modal retrieval. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(2): 1185-1199.

    • C. Zhang, H. X. Li*, C. L. Chen, Y. H. Qian, X. Z. Zhou. Enhanced group sparse regularized nonconvex regression for face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, 44(5): 2438-2452.

    • W. T. Fan, C. Zhang, H. X. Li*, X. Y. Jia, G. Y. Wang. Three-stage semisupervised cross-modal hashing with pairwise relations exploitation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023, doi: 10.1109/TNNLS.2023.3263221.

    • C. Zhang, H. X. Li*, Y. Gao, C. L. Chen. Weakly-supervised enhanced semantic-aware hashing for cross-modal retrieval. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(6): 6475-6488.

    • K. Y. Luo, C. Zhang, H. X. Li*, X. Y. Jia, C. L. Chen. Adaptive marginalized semantic hashing for unpaired cross-modal retrieval. IEEE Transactions on Multimedia (TMM), 2023, 25: 9082-9095.

    • W. Y. Zhong, H. X. Li*, Q. H. Hu, Y. Gao, C. L. Chen. Multi-level cascade sparse representation learning for small data classification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, 33(5): 2451-2464.

    • J. B. Liu*, B. Huang, H. X. Li, X. Z. Bu, X. Z. Zhou. Optimization-based three-way decisions with interval-valued intuitionistic fuzzy information. IEEE Transactions on Cybernetics (TCYB), 2023, 53(6): 3829-3843.

    • C. Zhang, H. X. Li*, Y. H. Qian, C. L. Chen, X. Z. Zhou. Locality-constrained discriminative matrix regression for robust face identification. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, 33(3): 1254-1268.

    • T. X. Wang, H. X. Li*, Y. H. Qian, B. Huang and X. Z. Zhou. A regret-based three-way decision model under interval type-2 fuzzy environment. IEEE Transactions on Fuzzy Systems (TFS), 2022, 30(1): 175-189.

    • Y. H. Li, Y. Z. Yang, H. X. Li*, H. X. Chen, L. W. Xu, L. D. Li, Y. Q. Li*, Y. D. Guo. Transductive aesthetic preference propagation for personalized image aesthetics assessment. ACM International Conference on Multimedia (ACM MM), 2022, 896-904.

    • C. Zhang, H. X. Li*, Y. H. Qian, C. L. Chen, Y. Gao. Pairwise relations oriented discriminative regression. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021, 31(7): 2646-2660.

    • Z. P. Ren, D. Y. Dong, H. X. Li*, C. L. Chen*. Self-paced prioritized curriculum learning with coverage penalty in deep reinforcement learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018, 29(6): 2216-2226.