About me

I’m a postdoc at Hong Kong Baptist University, supervised by Prof. Bo Han and Prof. Tongliang Liu. I received my Ph.D. from the Institute of Information Engineering, Chinese Academy of Sciences in 2024, where I was advised by Prof. Shiming Ge and Prof. Tongliang Liu. Before that, I got my B.S. degree from Beijing University of Posts Telecommunications in 2019. My research interests lie in trustworthy machine learning and data-centric AI.

📝 Publications

Note: * indicates these authors contributed equally to this work.

Privacy-preserving Model Transcription with Differentially Private Synthetic Distillation Bochao Liu, Shiming Ge, Pengju Wang, Shikun Li, Tongliang Liu. IEEE T-PAMI 2026
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation. Jiale Zhou, Wenhan Wang, Shikun Li, Xiaolei Qu, Xin Guo, Yizhong Liu, Wenzhong Tang, Xun Lin, Yefeng Zheng. ICCV 2025
Learning Natural Consistency Representation for Face Forgery Video Detection. Daichi Zhang, Zihao Xiao, Shikun Li, Fanzhao Lin, Jianmin Li, Shiming Ge. ECCV 2024
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds. Shikun Li, Xiaobo Xia, Jiankang Deng, Shiming Ge, Tongliang Liu. IEEE T-PAMI 2024
Multimodal Composition Example Mining for Composed Query Image Retrieval. Gangjian Zhang, Shikun Li, Shikui Wei, Shiming Ge, Na Cai, Yao Zhao. IEEE T-IP 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation. Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge. IJCAI 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge. AAAI 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge. AAAI 2024
Trustable Co-Label Learning from Multiple Noisy Annotators.Shikun Li, Tongliang Liu, Dan Zeng, Shiming Ge. IEEE T-MM 2023
Federated Learning with Label-Masking Distillation. Jianghu Lu, Shikun Li, Kexin Bao, Pengju Wang, Zhenxing Qian, Shiming Ge. ACM MM 2023 Oral
Model Conversion via Differentially Private Data-free Distillation. Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge. *IJCAI 2023
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning. Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge, Tongliang Liu. NeurIPS 2022
Selective-Supervised Contrastive Learning with Noisy Labels. Shikun Li, Xiaobo Xia, Shiming Ge, Tongliang Liu. CVPR 2022
Student Network Learning via Evolutionary Knowledge Distillation. Kangkai Zhang, Chunhui Zhang, Shikun Li, Dan Zeng, Shiming Ge. IEEE T-CSVT 2021
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang. AAAI 2020
Cascaded Correlation Refinement for Robust Deep Tracking. Shiming Ge, Chunhui Zhang, Shikun Li, Dan Zeng, Dacheng Tao. IEEE T-NNLS 2020
Low-resolution Face Recognition in the Wild with Mixed-domain Distillation. Shengwei Zhao, Xindi Gao, Shikun Li, Shiming Ge. BIGMM 2019

🎖 Honors and Awards

2025 HKBU Postdoc Promising Researcher Securing Fund
2025 IEEE T-MM Prize Paper Award
2024 Chinese Academy of Sciences President’s Award (Special Prize)
2024 Beijing Excellent Graduate
2023 IEEE MMTC Best Journal Paper Award
2022 Chinese National Scholarship for Doctoral Student
2022 ZhuLiYueHua Scholarship for Excellent Doctoral Student
2019 First Prize of VisDrone-SOT2019 Challenge

📖 Educations

2019.09 - 2024.06, Ph.D. in Cyberspace Security, Institute of Information Engineering, Chinese Academy of Sciences.
- Advised by Prof. Shiming Ge and Prof. Tongliang Liu.
2015.09 - 2019.06, B.Eng. in Communication Engineering, Beijing University of Posts Telecommunications.

💻 Internships

2024.09 - 2024.11, Westlake University, China.
- Advised by Prof. Yefeng Zheng.
2023.05 - 2023.06, Mohamed Bin Zayed University of Artificial Intelligence, United Arab Emirates.
- Advised by Prof. Tongliang Liu.

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