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

• Denoising Implicit Feedback for Cold-start Recommendation. Gaode Chen, Shicheng Wang, Shikun Li, Rui Huang, Xinghua Zhang, Yunze Luo, Shipeng Li, Shiming Ge, Ruina Sun, Yinjie Jiang, Jun Zhang. In KDD 2026
• LearnAlign: Data Selection for LLM Reinforcement Learning with Improved Gradient Alignment. Shipeng Li, Zhiqin Yang, Shikun Li, Xiaobo Xia, Hengyu Liu, Xinghua Zhang, Gaode Chen, Dong Fang, Ying Tai, Zhe Peng. In ACL 2026 Findings
• Privacy-preserving Model Transcription with Differentially Private Synthetic Distillation. Bochao Liu, Shiming Ge, Pengju Wang, Shikun Li, Tongliang Liu. In 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. In ICCV 2025
• Learning Natural Consistency Representation for Face Forgery Video Detection. Daichi Zhang, Zihao Xiao, Shikun Li, Fanzhao Lin, Jianmin Li, Shiming Ge. In ECCV 2024
• Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds. Shikun Li, Xiaobo Xia, Jiankang Deng, Shiming Ge, Tongliang Liu. In 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. In IEEE T-IP 2024
• DANCE: Dual-View Distribution Alignment for Dataset Condensation. Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge. In IJCAI 2024
• Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge. In AAAI 2024
• M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge. In AAAI 2024
• Trustable Co-Label Learning from Multiple Noisy Annotators.Shikun Li, Tongliang Liu, Dan Zeng, Shiming Ge. In IEEE T-MM 2023
• Federated Learning with Label-Masking Distillation. Jianghu Lu, Shikun Li, Kexin Bao, Pengju Wang, Zhenxing Qian, Shiming Ge. In ACM MM 2023 Oral
• Model Conversion via Differentially Private Data-free Distillation. Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge. In 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. In NeurIPS 2022 Spotlight
• Selective-Supervised Contrastive Learning with Noisy Labels. Shikun Li, Xiaobo Xia, Shiming Ge, Tongliang Liu. In CVPR 2022
• Student Network Learning via Evolutionary Knowledge Distillation. Kangkai Zhang, Chunhui Zhang, Shikun Li, Dan Zeng, Shiming Ge. In 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. In AAAI 2020
• Cascaded Correlation Refinement for Robust Deep Tracking. Shiming Ge, Chunhui Zhang, Shikun Li, Dan Zeng, Dacheng Tao. In IEEE T-NNLS 2020

🎖 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.

⏳ Professional Services

• Conference Reviewer: NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ACM MM, ACL ARR, AAAI, IJCAI, KDD, UAI, SDM, ACCV, IJCNN, etc.
• Journal Reviewer: IEEE T-PAMI, IJCV, IEEE T-NNLS, IEEE T-MM, IEEE T-CSVT, JAIR, Neural Networks, ACM Computing Surveys, etc.