I am an Associate Professor with the School of Computer Science and Information Engineering (School of Artificial Intelligence), Hefei University of Technology under Prof. Meng Wang. I received my Ph.D. degree in the Institute of Information Science, Beijing Jiaotong University (BJTU), China, 2022, supervised by Prof. Huihui Bai. I was a Joint Ph.D. Student from Jul. 2021 to Jul. 2022 in the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, supervised by Prof. Weisi Lin. I was fortunate to complete my Ph.D. degree in Mepro Led by Yao Zhao (BJTU). I also was fortunate to work closely with Prof. Runmin Cong (SDU).

🔥 News

• 🎉🎉 One TMM paper is accepted. Congratulations to Chao Jiao.
• 🎉🎉 One TIP paper is accepted. Congratulations to Kaisheng.
• 🎉🎉 One CVPR 2026 main track and two findings are accepted. Congratulations to Yawen.
• 🎉🎉 One TIP paper is accepted. Congratulations to Rongxin.
• 🎉🎉 One ACM MM paper is accepted.
• 🎉🎉 One TIP paper is accepted. Congratulations to Rongxin.
• 🎉🎉 One CVPR paper is accepted. Congratulations to Shuoyan.
• 🎉🎉 One ICLR paper is accepted. Congratulations to Anqi.
• 🎉🎉 Three AAAI papers are accepted.
• 🎉🎉 One TPAMI paper is accepted. Congratulations to Man Liu.
• 🎉🎉 One IJCV paper is accepted.
• 🎉🎉 We won the 2nd place on NTIRE 2024 Stereo Image Super-Resolution Challenge-Track 1 (CVPR2024). Congratulations to Rongxin.
• 🎉🎉 One TII paper and one TOMM paper are accepted.
• 🎉🎉 Two TMM papers are accepted.
• 🎉🎉 One TCSVT paper is accepted.
• 🎉🎉 One paper is accepted by CVPR 2023 and was selected as 1 of 10% highlight.

📝 Selected Publications

Layer Consistency Matters: Elegant Latent Transition Discrepancy for Generalizable Synthetic Image Detection

Yawen Yang, Feng Li*, Shuqi Kong, Yunfeng Diao, Xinjian Gao, Zenglin Shi and Meng Wang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026

[Arxiv] [Code]

DiffLLFace: Learning Alternate Illumination-Diffusion Adaptation for Low-Light Face Super-Resolution and Beyond

Runmin Cong, Kaisheng Pang, Feng Li*, Hua Li, Huihui Bai, Sam Kwong and Wei Zhang

IEEE Transactions on Image Processing (IEEE TIP), 2026

[Paper] [Code]

Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal

Rongxin Liao, Feng Li*, Yanyan Wei, Zenglin Shi, Le Zhang, Huihui Bai and Meng Wang

IEEE Transactions on Image Processing (IEEE TIP), 2025

[Paper] [Code]

Reference-based Iterative Interaction with P^2-Matching for Stereo Image Super-Resolution

Runmin Cong, Rongxin Liao, Feng Li*, Ronghui Sheng, Huihui Bai, Renjie Wan, Sam Kwong, and Wei Zhang

IEEE Transactions on Image Processing (IEEE TIP), 2025

[Paper]

EvEnhancer: Empowering Effectiveness, Efficiency and Generalizability for Continuous Space-Time Video Super-Resolution with Events

Shuoyan Wei, Feng Li*, Shengen Tang, Yao Zhao, Huihui Bai*

IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Top 13.5% highlight), 2025

[Paper] [Code]

Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption

Anqi Li, Feng Li*, Yuxi Liu, Runmin Cong, Yao Zhao, Huihui Bai*

International Conference on Learning Representations (ICLR), 2025

[Arxiv] [Code]

SRConvNet: A Transformer-Style ConvNet for Lightweight Image Super-Resolution

Feng Li, Runmin Cong*, Jingjing Wu, Huihui Bai, Meng Wang, Yao Zhao

International Journal of Computer Vision (IJCV), 2025

[Paper] [Code]

Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues

Mingshen Wang, Zhao Zhang*, Feng Li*, Ke Xu, Kang Miao, Meng Wang

AAAI Conference on Artificial Intelligence (AAAI), 2025

[Paper] [Code]

Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning

Man Liu, Huihui Bai*, Feng Li*, Chunjie Zhang, Yunchao Wei, Tat-Seng Chua, and Yao Zhao

AAAI Conference on Artificial Intelligence (AAAI), 2025

[Paper]

PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning

Man Liu, Huihui Bai*, Feng Li*, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024

[Paper] [Code]

BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution

Feng Li, Yixuan Wu, Zichao Liang, Runmin Cong, Huihui Bai*, Yao Zhao, and Meng Wang.

Science China-Information Science (SCIS), 2024 [Paper] [Code]

Progressive Semantic-Visual Mutual adaption for Generalized Zero-Shot Learning

Man Liu, Feng Li, Chunjie Zhang, Yunchao Wei, Huihui Bai*, and Yao Zhao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Top 10% highlight), 2023

[Paper] [Code]

Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline

Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, Yao Zhao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

[Paper] [Supplementary Material] [Homepage]

Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-aware Extrapolation

Kang Liao, Chunyu Lin, Yunchao Wei, Feng Li, Shangrong Yang, Yao Zhao

IEEE International Conference on Computer Vision (ICCV), 2021

[Paper]

Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-attention

Feng Li†, Runmin Cong†, Huihui Bai, Yifan He

International Joint Conference on Artificial Intelligence (IJCAI), 2020

[Paper] [Code]

Learning a Deep Dual Attention Network for Video Super-Resolution

Feng Li, Huihui Bai, and Yao Zhao

IEEE Transactions on Image Processing (TIP), 2020

[Paper] [Code]

📖 Members

Master students

• Shuqi Kong (2025–present)
• Yiting Hou (2025–present)
• TianYu Du (2025–present)
• Yawen Yang (2024–present) — 1×CVPR
• Rongxin Liao (2023–present) — 2×TIP, 1×CVPR NTIRE Award, BYD Scholarship
• Jianlong Zhang (2023–present)

Co-supervised Students

• Chen Zhou (2025-present), Beijing Jiaotong University, Phd, Image Fusion
• Jiaxin Wang (2025-present), Beijing Jiaotong University, Master, Motion Generation
• Jiaquan Zheng (2024–present), Beijing Jiaotong University, Undergraduate, Video Compression
• Chengcheng Feng (2024–present), Hefei University of Technology, Master, 3D Editing
• MingSheng Wang (2023–present), Hefei University of Technology, Master, Model Quantization, 1×AAAI, National Scholarship
• Yuxuan Zheng (2023–present), Beijing Jiaotong University, Master, Image Enhancement
• Shuoyan Wei (2023-present), Beijing Jiaotong University, Phd, Video Super-Resolution, 1×CVPR, National Scholarship
• Anqi Li (2022-2025), Beijing Jiaotong University, Master, Image Compression, 1×ICLR, ➡️ Now: PhD at Shanghai Jiao Tong University
• Yixuan Wu (2022-2025), Beijing Jiaotong University, Master, Image Super-Resolution, 2xTMM，1xSCIS
• Jiaxin Han (2022-2025), Beijing Jiaotong University, Master, 1xTMM
• Chao Jiao (2022-present), Beijing Jiaotong University, Phd, Screen Content Image, 2xTMM
• Dongyi Zhang (2019-2023), Beijing Jiaotong University, Master, Image Compression, 1xTCSVT➡️ Now: Shopee
• Man Liu (2018-2025), Beijing Jiaotong University, Phd, Zero-shot Learning, 1xTPAMI，2xTIP，1xCVPR，1xAAAI, National Scholarship ➡️ Now: Lecturer at the School of Artificial Intelligence, Anhui University

Alumni

• Kaisheng Pang (2025-present), Shandong University, Undergraduate, Low-light Enhancement, 1×TIP, ➡️ Now: Master at Hong Kong University of Science and Technology (Guangzhou)
• Yunzhe Cheng (2024-present), Hefei University of Technology, Undergraduate, Image Generation
• Junjie Zhao (2024-present), Hefei University of Technology, Undergraduate ➡️ Now: PhD at Shanghai Jiao Tong University