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, Senior Lecturer, 北京理工大学硕士研究生导师 (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), 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

Research Interests

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

Members

· Doctoral student: Qing Zhou

· Master's student: Runze Cheng, Jiarong Cheng, Zhipeng Xue, Lifang Yuan, Wenjin Tian, Bin Zhai, Jialong Hong, Boyang Li, Dandan Ruan

· Visiting student: Yan Zhang

· Undergraduate student: Yuhan Wang, Runyu Yan, Zhijie Gan, Zhuyang Wang, Wanpeng Zhang, Ruixiang Wang, Yining Chen, Zongyin Deng, Jingrun Wang, Junyan Wang

Fundings

· 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

   [20] Xihang Qiu, 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, Top, JCR Q1).

[19] Jiarong Cheng, 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, 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, 2025 (Accepted).

[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, 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

[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