Chun Li

Chun Li

Contact Info.

· Postal address: Shenzhen MSU-BIT University, 1 International University Park Road, Longgang District, 518172, Shenzhen, Guangdong, China.

· Office: Room 331, Main Building

· Email: lichun2020@smbu.edu.cn

Education Background

· 2016.9 – 2020.1, Ph.D. in Computer Application Technology, School of Computer and Control, University of the Chinese Academy of Sciences, Beijing

· 2012.9 – 2015.7, M.S. in Applied Mathematics, School of Science, Minzu University of China, Beijing

· 2005.9 – 2009.7, B.S. in Mathematics and Applied Mathematics, School of Mathematics, Honghe University, Mengzi

Work Experience

· 2024.12 –Present, 高级讲师, 北京理工大学博士研究生导师 (每年招2-6名数学、控制科学与工程、计算机科学与技术方向的硕士研究生，1名博士研究生), MSU-BIT-SMBU Joint Research Center of Applied Mathematics, Shenzhen MSU-BIT University

·2022.12 –2024.12, Lecturer, Master's Degree Advisor, MSU-BIT-SMBU Joint Research Center of Applied Mathematics, Shenzhen MSU-BIT University

· 2020.1 – 2022.12, Postdoctoral Fellowship, School of Science, Harbin Institute of Technology, Shenzhen

· 2018.4 – 2019.4, Visiting Scholar, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, US

· 2015.7 – 2016.7, Research Assistant, Institute of Automation, Chinese Academy of Sciences, Beijing

Teaching Experience

· 2021-2022 Spring, Differential Geometry and Topology, Harbin Institute of Technology, Shenzhen

· 2023-2024 Spring and Fall, Calculus I, II, MSU-BIT University, Shenzhen

.2025-2026 Spring, Discrete Mathematics, MSU-BIT University, Shenzhen

Research Interests

· Medical Image Analysis, Computer Vision, Deep Generative Model (GANs, VAE, Diffusion Model), Machine Learning

Members

· Doctoral student: Qing Zhou

· Master's student: 翟斌，洪嘉隆，田文劲，李波扬，阮丹丹，张万鹏，张博，郝瑞星，王瑞祥，丁浩浩

· 已毕业硕士研究生: 程润泽，薛志鹏，程嘉荣，邱夕航，袁丽芳，张岩（中央民族大学访问生）

· 本科论文指导：

1. 干稚杰 1120200060 基于生成模型的图像分割的理论与方法

2. 颜润宇 1120190061 基于生成模型的图像重建与合成关键技术研究

3. 邓宗胤 1120210006 基于人工智能的内容生成技术研究与应用

4. 陈一宁 1120200045 多视图学习在分类聚类中的研究

5. 王珺琰1120200025 3D医学图像分割算法研究

6. 王景润1120210040 概率扩散模型在图像生成中的应用研究

7. 张万鹏 1120210086 生成式概率扩散模型的算法研究与应用

8. 黄可1120220378 面向多模态表示学习的动态证据融合模型及其理论分析

9. 任一铭1120200024面向缺失模态情感识别的生成式模型与一致性正则方法研究

10. 尹刘均赫 1120220414生成式多模态学习的机理分析与高效算法研究

11. 宋姝慧 1120220137基于证据理论的多模态情感识别数学模型构建

12. 杨孜彤 1120220055 基于量子生成模型与证据理论的多模态缺失数据补全与分类研究

Fundings

· 2025年度中俄数学挑战基金，MOE专家权重压缩，2025RSMC05，PI

· Guangdong Basic and Applied Basic Research Foundation, General Program project, (2024A1515011774), PI

· Guangdong Basic and Applied Basic Research Foundation, General Program project, (2021A1515220073), PI

· China Postdoctoral Science Foundation (2021M690837), PI

· NSFC, General Program project, (12171122), participate in

· Shenzhen Higher Education Institutions Stable Support Plan, General Program project, (GXWD20201230155427003-20200729105427008), participate in

Publications

[34] Zihang Cheng, Wentao Bao, Huiping Zhuang, Chun Li, Xin Meng, Ziqian Zeng, Cen Chen, Ming Li, Fei Yu. X-SG^2S: Safe and Generalizable Gaussian Splatting with X-dimensional Watermarks, ECCV 2026, (CCF B, Accepted).

[33] S. Chen, S. Wang, Y. Lu and Chun Li, OFTNet: Omni-Feature and Texture-Aware Enhancement Learning Network for Continuous Remote Sensing Image Super-Resolution, in IEEE Transactions on Geoscience and Remote Sensing, vol. 64, pp. 1-19, 2026, Art no. 5618819, doi: 10.1109/TGRS.2026.3686838.

[32] Yuhao Fang (本科), Wanpeng Zhang, Ovanes Petrosian, Ye Zhang, Zijian Wang, Yao Lu, Member, IEEE, and Chun Li (*Corresponding author), Member, IEEE, Dirichlet–Sharma–Mittal Diffusion on the Probability Simplex for Imputation-Free Multi-View Clustering. IEEE Transactions on Multimedia,2026 (CCF A, Accepted).

[31] Xihang Qiu, Yuhao Fang, Qing Zhou, Bin Zhai, Jialong Hong, Wanpeng Zhang, Yao Lu, Ye Zhang, Chun Li (*Corresponding author), Beyond Missing Modalities: Hypergraph Conditioned Diffusion for Uncertainty-Aware Multimodal Emotion Recognition, CVPR 2026, CCF A.

[30] Xihang Wang Xia, Yuhao Wang, Yao Lu, Shunzhou Wang, Yue Yan, Chun Li, Zijian Wang, Learning light field implicit neural representations for arbitrary-scale spatial-angular super-resolution, ICASSP 2026, CCF B.

[29] Xihang Qiu（硕士）, Jiarong Cheng, Yuhao Fang, Wanpeng Zhang, Yao Lu, Ye Zhang, Chun Li (*Corresponding author)，Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities, NeurIPS 2025, (CCF A, Accepted).
  [28] Wanpeng Zhang(本科毕设), Yuhao Fang, Xihang Qiu, Jiarong Cheng, Jialong Hong, Bin Zhai, Qing Zhou, Yao Lu, Ye Zhang, Chun Li (*Corresponding author), Proper Hölder–Kullback Dirichlet Diffusion: A Framework for High-Dimensional Generative Modeling, NeurIPS 2025, (CCF A, Accepted).

[27] Junhong He (本科), Qishan Zhong, Feiyang Sun, and Chun Li (*Corresponding author), Automated Vegetable Pricing and Replenishment Using MILP and Simulated Annealing[C]//2025 China Automation Congress (CAC). IEEE, 2025 (Accepted).

[26] Yuhao Fang (本科), Zijian Wang, Yao Lu, Ye Zhang, and Chun Li (*Corresponding author), A DeepONet–Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction[C]//2025 China Automation Congress (CAC). IEEE, 2025 (Accepted).

[25] Zongyin Deng (本科), Qing Zhou, Yuhao Fang, Zijian Wang, Yao Lu, Ye Zhang, Chun Li (*Corresponding author), Diffusion–Low-Rank Hybrid Reconstruction for Sparse-View Medical Imaging[C]//2025 China Automation Congress (CAC). IEEE, 2025 (Accepted).

[24] Cui Miao, Tao Chang, Meihan Wu, Hongbin Xu, Chun Li, Ming Li, Xiaodong Wang,FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation,  ICCV 2025 (Accepted).

[23] Meihan Wu, Tao Chang, Cui Miao, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li, Xiaodong Wang, EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients, ICCV 2025 (Accepted).

[22] Runze Cheng(硕士), Xihang Qiu†, Ming Li†, Ye Zhang, Chun Li (*Corresponding author), Member, IEEE, and F. Yu, Fellow, IEEE. Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer, IEEE/CAA Journal of Automatica Sinica, (IF=19.2, CAA A+, 中科院1区, Accepted).

[21] Zhipeng Xue(硕士), Yan Zhang, Ming Li, Chun Li (*Corresponding author), Yue Liu, and Fei Yu. Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures, IEEE Transactions on Image Processing, vol. 34, pp. 4328-4342, 2025, doi: 10.1109/TIP.2025.3579987.

  [20] Xihang Qiu(硕士), Chun Li (*Corresponding author), et al., FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in Emotion Recognition, IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2025.3562090.(IF=6.7, JCR Q1).

[19] Jiarong Cheng(硕士), Xihang Qiu, Qing Zhou, Ming Li, Chun Li (*Corresponding author), Yao Lu, Fei Richard Yu, OmniStyle: Attention-Optimized Global and Local Image Stylization with Diffusion Model Inversion, IEEE International Conference on Multimedia&Expo 2025 (Accepted).

[18] Zhongao Sun, Jiameng Li, Yuhan Wang, Jiarong Cheng, Qing Zhou, Chun Li (*Corresponding author). Unveiling Incomplete Modality Brain Tumor Segmentation: Leveraging Masked Predicted Auto-Encoder and Divergence Learning[J]. arXiv preprint arXiv:2406.08634, 2024.

[17] Yan Zhang(硕士), Ming Li, Chun Li(*Corresponding author), Zhaoxia Liu, Ye Zhang, and Fei Richard Yu. Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning[J].IEEE Transactions on Multimedia,vol.27,pp.8263-8275,2025,doi: 10.1109/TMM.2025.3604966.

[16] Runze Cheng, Zhongao Sun, Ye Zhang, Chun Li (*Corresponding author), Robust Divergence Learning for Missing-Modality Segmentation[C]//2024 China Automation Congress (CAC). IEEE, 2024: 2077-2083.

[15] Yan Zhang(本科), Li Chun (*Corresponding author), Zhaoxia Liu, Ming Li, Semi-Supervised Disease Classification based on Limited Medical Image Data, IEEE Journal of Biomedical and Health Informatics, DOI: 10.1109/JBHI.2024.3349412, 2023, (IF=7.7, Top, JCR Q1).

[14] Chun Li, Quantum Confinement Detection Using a Coupled Schrödinger System, Nonlinear Dynamics, DOI:10.1007/s11071-023-09168-1, 2023, (IF=5.6, Top, JCR Q1).

[13] Chun Li, Lijun Deng, Solving inverse problems with sparse noisy data, operator splitting and physics-constraints machine learning, Nonlinear Dynamics, DOI:10.1007/s11071-023-09127-w, 2023, (IF=5.6, Top, JCR Q1).

[12] Z. Yu, Y. Yang, Y. Zhu, B. Guo and Chun. Li (*Corresponding author), "CS-IntroVAE: Cauchy-Schwarz Divergence-Based Introspective Variational Autoencoder," in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2023.3268870, 2023, (IF=7.3, Top, 中科院1区, CCF B, JCR Q1).

[11] Li, Chun,Y. Yang, H. Liang and B. Wu, Learning Quantum Drift-Diffusion Phenomenon by Physics-Constraint Machine Learning, in IEEE/ACM Transactions on Networking, vol. 30, no. 5, pp. 2090-2101, Oct. 2022, doi: 10.1109/TNET.2022.3158987, (IF=3.7, CCF A, JCR Q1).

[10] Li, Chun et al. Robust PCL Discovery of Data-Driven MeanField Game Systems and Control Problems. IEEE Transactions on Circuits and Systems I: Regular Papers, 68, 2651-2664, (IF=5.1, Top, 中科院1区, JCR Q1).

[9] Li, Chun et al. Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets. Knowledge-Based Systems, 218, 106849 - 10684, (IF=8.8, Top, 中科院1区, JCR Q1).

[8] Li, Chun et al. Learning High-Order Geometric Flow Based on the Level Set Method, Nonlinear Dynamics,2022, 107(89): 2429-2445, (IF=5.6, Top, JCR Q1).

[7] Li, Chun (Corresponding author), et al. MH-Net: Model-data-driven hybrid-fusion network for medical image segmentation[J]. Knowledge-Based Systems, 2022, 248: 108795,(IF=8.8, Top, 中科院1区, JCR Q1).

[6] Yu L, Li Chun. Grassland Response to Droughts Severity Reavealed by Greeness and Solar Induced Florencesence at Regional and Monthly Scale[C]//IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022: 6380-6383.

[5] Li Chun, Li Y, Zhao Z, et al. A mixed noise removal algorithm based on multi-fidelity modeling with nonsmooth and nonconvex regularization[J]. Multimedia Tools and Applications, 2019, 78(16): 23117-23140.

[4] Li Chun, Li J, Luo Z. An impulse noise removal model algorithm based on logarithmic image prior for medical image[J]. Signal, Image and Video Processing, 2021, 15(6): 1145-1152

[3] Li Y, Li Chun. A mixed model with multi-fidelity terms and nonlocal low rank regularization for natural image noise removal[J]. Multimedia Tools and Applications, 2020, 79(43): 33043-33069.

[2] Li Chun, Li J, Luo Z. An impulse noise removal model algorithm based on logarithmic image prior[C]//Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition. 2019: 246-253.

[1] Yu L, Su J, Li Chun, et al. Improvement of moderate resolution land use and land cover classification by introducing adjacent region features[J]. Remote Sensing, 2018, 10(3): 414.

Patents

[1] 周庆，李春等. 申请号/专利号：2025102946548，一种基于二维扩散模型的三维稀疏视图医学图像重建方法、系统、终端及存储介质

[2] 程润泽，李春等. 申请号/专利号：2025104235076, 基于缺失模态的多模态图像分割方法、系统、终端及存储介质

[3] 程润泽，李春等. 申请号/专利号：2025104297231, 基于并行网络框架和动态融合的图像分割方法、系统、终端及存储介质 （已授权）

[4] 方宇浩，李春等. 申请号/专利号：2025104458178, 基于混合网络框架的图像重建方法、系统、终端及存储介质 （已授权）

[5] 方宇浩，李春等. 申请号/专利号：2025106810320, 基于专家混合协同扩散算子学习的多任务逆成像方法、系统、终端及可读存储介质（已授权）

[6] 翟斌，李春等. 申请号/专利号：202510733549X, 基于分组狄利克雷扩散的图像生成方法、系统、终端及存储介质（已授权）

[7] 方宇浩，李春等. 申请号/专利号：2025108472117, 基于扩散聚类的多视图跟踪方法、系统、终端及存储介质（已授权）

[8] 邱夕航，李春等. 申请号/专利号：2025108880703, 一种基于联邦对话语义扩散的多模态情绪识别方法系统、终端与存储介质（已授权）

[9] 邱夕航，李春等. 申请号/专利号：202511536832X, 基于超图扩散和证据融合的多模态情绪识别方法、系统、终端及存储介质（已授权）