About Me
Hi! I’m Feiran Li (李斐然, E-mail: lifeiran@iie.ac.cn). Now I am a PhD. student of Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS), supervised by Prof. Qingming Huang (黄庆明) (IEEE Fellow) and Qianqian Xu (许倩倩) (Professor at ICT, CAS). I have received the B.E. degree in computer science and technology from CUMT in 2023. My research interest includes computer vision (计算机视觉) and generative model (生成模型). I have authored or co-authored several academic papers in top-tier international conferences and journals, including ICML, ICCV, etc. If you are interested in my research, please email me at lifeiran@iie.ac.cn.
🔥 News
- 2026.03: 🎉🎉 One Paper has been accepted by CVPR 2026.
- 2025.07: 🎉🎉 Winning the first-prize of the ICCV’25 Competition (DataCV Challenge), with one paper accepted by ICCV 2025 DataCV workshop.
- 2025.06: 🎉🎉 One Paper has been accepted by T-PAMI.
- 2025.05: 🎉🎉 One Paper has been accepted by ICML 2025.
- 2024.05: 🎉🎉 One Paper has been accepted by ICML 2024.
📝 Publications

Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang. International Conference on Machine Learning (ICML) 2024. (Spotlight, 3.5%) | [code] | [slides]
- A generic approach to address the size-invariance problem in multi-object salient object detection.

Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Xiaochun Cao, Qingming Huang. International Conference on Machine Learning (ICML) 2025. (26.9%) | [code]
- A text-image collaborative erasing framework for diffusion models.

Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Xilin Zhao, Xiaochun Cao, Qingming Huang. Conference on Computer Vision and Pattern Recognition (CVPR) 2026. (25.42%) | [code]
- A VLM&LLM-based black-box detection framework for text-image model backdoors.

Towards Size-invariant Salient Object Detection: A Generic Evaluation and Optimization Approach
Shilong Bao, Qianqian Xu, Feiran Li, Zhiyong Yang, Boyu Han, Xiaochun Cao, Qingming Huang. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2025.| [code] | [slides]
-
Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset Generation. Feiran Li, Qianqian Xu, Shilong Bao, Boyu Han, Zhiyong Yang, Qingming Huang. ICCV 2025 Workshop (Oral). [code].
-
MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution. Zhiwen Shao, Yifan Cheng, Feiran Li, Yong Zhou, Xuequan Lu, Yuan Xie, Lizhuang Ma. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), (Accepted).
-
Joint Facial Action Unit Recognition and Self-supervised Optical Flow Estimation. Zhiwen Shao, Yong Zhou, Feiran Li, Hancheng Zhu, Bing Liu. Pattern Recognition Letters, 2024.
-
Identity-invariant Representation and Transformer-style Relation for Micro-expression Recognition. Zhiwen Shao, Feiran Li, Yong Zhou, Hao Chen, Hancheng Zhu, Rui Yao. Applied Intelligence, 2023.
🎖 Honors and Awards
- 2021.12 2020-2021 National Scholarship for Undergraduates.
- 2020.12 2019-2020 National Scholarship for Undergraduates.
📖 Educations

2023.09 - now, Ph.D. Student.
Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS).
University of Chinese Academy of Sciences, Beijing.

2019.06 - 2023.06, Undergraduate.
School of Computer Science and Technology.
China University of Mining and Technology (CUMT), Xuzhou.