李華雄，南京大學(xué)、加拿大University of Regina聯(lián)合培養(yǎng)博士，南京大學(xué)教授、博士生導(dǎo)師，香港大學(xué)訪問學(xué)者。IEEE/ACM/CAAI高級會員，CCF杰出會員。

      現(xiàn)任南京大學(xué)控制科學(xué)與智能工程系主任, 中國自動化學(xué)會(CAA)系統(tǒng)仿真專委會委員，江蘇省自動化學(xué)會（JSAA）理事，中國人工智能學(xué)會（CAAI）粒計算與知識發(fā)現(xiàn)專委會常務(wù)委員、機器學(xué)習(xí)專委會委員，中國計算機學(xué)會（CCF）人工智能與模式識別專委會執(zhí)行委員、計算機視覺專委會委員，江蘇省人工智能學(xué)會（JSAI）模式識別專委會委員，江蘇省第六期“333高層次人才培養(yǎng)工程”培養(yǎng)對象，國際粗糙集學(xué)會（IRSS）高級會員。

科研工作：先后主持國家自然科學(xué)基金項目4項，主持國家重點研發(fā)計劃項目子項、江蘇省自然科學(xué)基金面上項目、教育部博士點基金項目、教育部產(chǎn)學(xué)合作項目等項目10余項，參與國家自然科學(xué)基金重點項目、國家重點研發(fā)計劃項目等項目10余項，在IEEE TPAMI, TKDE, TIP, TNNLS, TMM, TCYB, TCSVT, TFS, PR, ACM TKDD, ACM KDD, ACM MM, ICML, ICLR, AAAI, IJCAI,《中國科學(xué): 信息科學(xué)》,《自動化學(xué)報》,《模式識別與人工智能》等國內(nèi)外期刊和會議上發(fā)表學(xué)術(shù)論文100余篇，Google Scholar統(tǒng)計論文引用5000余次，先后10余篇論文入選ESI高被引論文，入選2023年度全球前2%高被引科學(xué)家榜單，出版專著2部，獲2023年度江蘇省自動化學(xué)會科學(xué)技術(shù)獎二等獎（排名1/4）等科研獎項。

教學(xué)工作：主講課程包括《自動控制原理》、《現(xiàn)代控制理論》、《線性系統(tǒng)理論》、《工程矩陣論》等。指導(dǎo)本科生獲2016中國教育機器人大賽特等獎，獲2016、2019南京大學(xué)中國銀行優(yōu)秀教學(xué)成果獎，指導(dǎo)研究生獲評“2022年度江蘇省優(yōu)秀學(xué)術(shù)碩士學(xué)位論文”、“2024年度南京大學(xué)優(yōu)秀學(xué)術(shù)碩士學(xué)位論文”。目前的研究興趣和方向：圍繞“控制科學(xué)與工程”一級學(xué)科下的“模式識別與智能系統(tǒng)”二級學(xué)科方向，包括機器學(xué)習(xí)與智能控制、模式識別、機器人視覺、數(shù)據(jù)挖掘、跨模態(tài)檢索、多模態(tài)學(xué)習(xí)、多視圖學(xué)習(xí)、哈希學(xué)習(xí)、小樣本學(xué)習(xí)、對比學(xué)習(xí)、深度學(xué)習(xí)、粒計算與知識發(fā)現(xiàn)、機器學(xué)習(xí)中的交替優(yōu)化方法等。每年招收碩士生5名左右（學(xué)碩+專碩），博士生2-3名，主要招收有意從事學(xué)術(shù)論文工作的研究生。自2025年8月開始，本人將在南京大學(xué)機器人與自動化學(xué)院（蘇州校區(qū)）招收控制科學(xué)與智能工程專業(yè)博士生和控制科學(xué)與智能工程、控制工程專業(yè)碩士生。

招收研究生要求：自動化類、電子信息類、計算機類、數(shù)學(xué)類、物理類等理工科專業(yè)背景均可；具有強烈的科研興趣、科研愛好、科研熱情和內(nèi)驅(qū)力、肯吃苦。歡迎數(shù)學(xué)成績突出、英語功底扎實，Python、Matlab編程能力強、有一定成果發(fā)表基礎(chǔ)、有志于投身學(xué)術(shù)事業(yè)，對智能控制理論和方法、機器學(xué)習(xí)與數(shù)據(jù)挖掘、機器人視覺、模式識別與人工智能、圖像處理等方向有興趣的優(yōu)秀學(xué)子加入我們團隊（Email: huaxiongli@nju.edu.cn）.

Selected Publications:

• C. Zhang, Z. Wang, X. Y. Jia, Z. C. Li, C. L. Chen, H. X. Li*. Multi-view clustering with incremental instances and views. IEEE Transactions on Image Processing (TIP), 2025, doi: 10.1109/TIP.2025.3583122.

• L. C. Cao, J. H. Zhang, X. H. Zhang, H. X. Li*. Dual-module collaborative LoRA for effective large language model fine-tuning. Asian Conference on Machine Learning (ACML), 2025, In Press.
  

• W. T. Fan, C. Zhang, C. L. Chen, H. X. Li*. Online cross-modal hashing with multi-level memory. ACM International Conference on Multimedia (ACM MM), 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, 39(20), 21734-21742.

• 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, 1903-1912.

• 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, 39(18), 19161-19169. 

• L. B. Zhang, C. Guo, T. X. Wang, D. Liu, H. X. Li*. A novel reliable three-way multi-classification model under intuitionistic fuzzy environment. IEEE Transactions on Fuzzy Systems (TFS), 2025, 33(6): 1726-1739.  

• 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), 2025, 36(1): 260-273.

• 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.

• 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, 19(1): 1-23.   

• 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, 27, 1254-1265.   
  

• 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.

• 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.

• 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), 2024, 35(12): 17559-17570.

• 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.

• 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, 45(12): 15364-15379.

• 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.

• 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.