☕️ About Me
I am a second-year master student at Institute of Data and Information, Tsinghua University, under the supervision of Prof. Xiu Li. I earned my B.Eng. in Software Engineering from Southwest University in 2024, graduating with the honors of “Special Scholarship” and “Outstanding Student Representative”. Currently, I am conducting research on Medical AI and Multimodal Large Language Models at the Alibaba DAMO Academy as a research scientist intern. My research interests include Real World Oriented Computer Vision and Efficient MLLM.
I am currently seeking PhD positions for Fall 2027 and open to all forms of collaboration.
🔥 News
- 2026.01: Two papers accepted to ICLR 2026. Congrats to Zheng Jiang and Heng Guo!
- 2025.06: One paper accepted to TPAMI(IF=20.8). Congrats to Chunming!
- 2025.02: One paper accepted to IEEE TPAMI(IF=20.8). Congrats to Chunming and Yuqi!
- 2025.02: One paper has been selected as a Spotlight Paper to the ICLR 2025.
- 2025.01: Two papers accepted to ICLR 2025. Congrats to Chunming, Chenyang!
- 2024.09: One paper accepted to NeurIPS 2024 as a Spotlight Paper.
📝 Selected Publications
${*}$ Equal contribution, ${\dagger}$ Corresponding author
Recommendation
Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network
Chengyu Fang$^{*}$, Chunming He$^{*}$$^{\dagger}$, Fengyang Xiao, Yulun Zhang$^{\dagger}$, Longxiang Tang, Yuelin Zhang, Kai Li, and Xiu Li$^{\dagger}$
- The cooperative unfolding network (CORUN) and the first plug-in-play iterative mean-teacher framework (Colabator) for real-world image dehazing.
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
Chunming He$^{*}$, Chengyu Fang$^{*}$$^{\dagger}$, Yulun Zhang$^{\dagger}$, Kai Li, Longxiang Tang, Chengyu You, Fengyang Xiao, Zhenhua Guo, Xiu Li and Sina Farsiu$^{\dagger}$
- The first latent diffusion model-based methods with strong generalizability in illumination degradation image restoration problems and promising performance in downstream tasks.
Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models
Chengyu Fang$^{*}$, Heng Guo$^{*}$, Zheng Jiang, Chunming He, Xiu Li$^{\dagger}$, Minfeng Xu$^{\dagger}$
- Photon is a variable-length 3D medical VQA framework with instruction-conditioned token scheduling and surrogate gradients, achieving adaptive acceleration and state-of-the-art performance.
Chengyu Fang, Chunming He, Yuelin Zhang, Chubin Chen, Chenyang Zhu, Longxiang Tang, and Xiu Li$^{\dagger}$
- PRISM is a real-world dehazing framework that jointly reconstructs clear scenes and scattering variables, while bridging the sim2real domain gap through selective self-distillation and self-reinforcing prior.
Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning
Zheng Jiang$^{*}$, Heng Guo$^{*}$, Chengyu Fang$^{*}$, Changchen Xiao, Xinyang Hu, Lifeng Sun$^{\dagger}$, Minfeng Xu$^{\dagger}$
- MedVR is the first end-to-end reinforcement learning framework that integrates visual and textual reasoning for medical VLMs, eliminating the need for costly intermediate supervision.
Diffusion Models in Low-Level Vision: A Survey
Chunming He$^{*}$$^{\dagger}$, Yuqi Shen$^{*}$, Chengyu Fang$^{*}$, Fengyang Xiao, Longxiang Tang, Yulun Zhang, Wangmeng Zuo, Zhenhua Guo, Xiu Li$^{\dagger}$
- A curated list of awesome Diffusion Models(DMs) in low-level vision.
MultiCOS: Unlocking the Potential of Limited Multimodal Data in Camouflaged Object Segmentation
Chengyu Fang$^{*}$, Chunming He$^{*}$, Yuqi Shen, Chenyang Zhu, Yuelin Zhang, Fengyang Xiao, Longxiang Tang, Chubin Chen, Xiu Li$^{\dagger}$
- A novel framework that effectively leverages diverse data modalities to improve segmentation performance.
M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision
Che Liu$^{*}$, Zheng Jiang$^{*}$, Chengyu Fang$^{*}$, Heng Guo, Yan-Jie Zhou, Jiaqi Qu, Le Lu, Minfeng Xu$^{\dagger}$
- A unified visual encoder without any modality-specific customization for various medical visual modalities in 2D and 3D.
More Selected Publications
- Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning, CVPR 2026 [PDF] Chubin Chen$^{*}$, Sujie Hu$^{*}$, Jiashu Zhu, Meiqi Wu, Jintao Chen, Yanxun Li, Nisha Huang, Chengyu Fang, Jiahong Wu, Xiangxiang Chu, Xiu Li$^{\dagger}$
- Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement, arXiv 2025 [PDF] Yuqi Shen$^{*}$, Fengyang Xiao$^{*}$, Sujie Hu, Youwei Pang, Yifan Pu, Chengyu Fang, Xiu Li, Chunming He
- Segment Concealed Objects with Incomplete Supervision, TPAMI 2025 [PDF] Chunming He$^{*}$, Kai Li$^{*}$, Yachao Zhang, Ziyun Yang, Youwei Pang, Longxiang Tang, Chengyu Fang, Yulun Zhang, Linghe Kong, Xiu Li, Sina Farsiu$^{\dagger}$
- UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration, arXiv 2025 [PDF] Chunming He$^{*}$, Rihan Zhang$^{*}$, Fengyang Xiao, Chengyu Fang, Longxiang Tang, Yulun Zhang, Sina Farsiu$^{\dagger}$
- RUN: Reversible Unfolding Network for Concealed Object Segmentation, ICML 2025 [PDF] Chunming He, Rihan Zhang, Fengyang Xiao, Chengyu Fang, Longxiang Tang, Yulun Zhang, Linghe Kong, Deng-Ping Fan, Kai Li, Sina Farsiu$^{\dagger}$
- Instantswap: Fast customized concept swapping across sharp shape differences, ICLR 2025 [PDF] Chenyang Zhu$^{*}$, Kai Li$^{*}$$^{\dagger}$, Yue Ma$^{*}$, Longxiang Tang, Chengyu Fang, Chubin Chen, Qifeng Chen, Xiu Li$^{\dagger}$
- A Survey of Camouflaged Object Detection and Beyond, CAAI AIR 2024 [PDF] Fengyang Xiao$^{*}$, Sujie Hu$^{*}$, Yuqi Shen, Chengyu Fang, Jinfa Huang, Chunming He$^{\dagger}$, Longxiang Tang, Ziyun Yang, Xiu Li$^{\dagger}$
- A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning, CVPR 2024 [PDF] Yuelin Zhang, Pengyu Zheng, Wanquan Yan, Chengyu Fang, Shing Shin Cheng$^{\dagger}$
You can find more paper in my Google Scholar._
📖 Teaching
- 2023.09 - 2024.01 & 2024.09 - 2025.01, Teaching Assistant for Frontiers of AI technology and industrial applications, Tsinghua University.
💻 Internships
- 2025.04 - Present, Research Scientist Intern, DAMO Academy, Alibaba Group.
- 2023.07 - 2024.08, Research Assistant, Prof. Xiu Li’s research group at Tsinghua University.
🎖 Honors and Awards
- 2024.06 Chongqing Outstanding Graduates
- 2024.04 Chongqing Merit Student
- 2023.12 Southwest University Outstanding Student Representative
- 2023.04 Chongqing Advanced Individual for Innovation Capability
📃 Scholarships
- 2023.12 National Scholarship
- 2022.12 National Scholarship
- 2023.12 Xiaomi Corporation Special Scholarship
- 2023.12 Southwest University Special Scholarship
- 2022.07 Professor Qiu Yuhui Scholarship
- 2022.07 Pisen Electronics Co. Ltd Scholarship
- 2021.10 Southwest University First Prize Scholarship
🏁 Competition
- 2023.08 🏅1st Prize of “Texas Instruments Cup” 2023 National Undergraduate Electronic Design Contest
- 2023.08 🏅1st Prize of “China Software Cup” University Student Software Design Competition
- 2023.08 🏅1st Prize of “China University Student Embedded Chip and System Design Competition
- 2023.04 🏅1st Prize of 2023 China University Robot Competition (RoboMaster RMUL)
- 2022.08 🏅️1st Prize of “China Software Cup” University Student Software Design Competition
- 2022.12 🏅1st Prize of 2022 China University Robot Competition (RoboMaster RMUL)
- 2023.06 🥈2nd Prize in China Robotics and Artificial Intelligence Competition
- 2022.08 🥈2nd Prize of “China Software Cup” University Student Software Design Competition
- 2022.06 🥈2nd Prize of 2022 China University Robot Competition (RoboMaster RMUT)
- 2023.08 🥉3rd Prize in Chinese Collegiate Computing Competition
🧑🤝🧑 My Friends, Collaborators, and Long-term Cooperative Professors
- Chunming He@Duke, Longxiang Tang@HKUST, Yuelin Zhang@CUHK, Assoc. Prof. Yulun Zhang@SJTU.