Hi! My name is Zhiwei Yang. I'm a Ph.D. student at the Academy for Engineering and Technology of Fudan University. I am now working on Multimodal Perception, Weakly-supervised Learning and Medical Image Processing.

🌈 I am actively seeking intership and full-time opportunities in MLLMs (Multimodal Large Language Models) applications！ Please feel free to reach out via email zwyang.research@gmail.com. You can also get to know me from My CV.

I am currently a member of the Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention MICCAI Lab, co-supervised by Prof. Shuo Wang and Prof. Zhijian Song. Previously, I received my B.E. degree in Mechanical Engineering from Hohai University, Nanjing, China, in 2021, supervised by Prof. Yanjie Wang.

📚 My research interest includes Multimodal Perception, Weakly-supervised Learning and Medical Image Processing. I have published 15+ papers at the top international AI conferences and journals such as Nature BME (IF=27.7), CVPR (Oral), AAAI (Oral), ICCV, MICCAI, TMM, etc.

My works include ENDO-KED, SeCo, ExCEL, MoRe, and UniA.

• Personal Pages: https://zwyang6.github.io/
• Google Scholar: https://scholar.google.com/citations?user=e_lRvJ8AAAAJ&hl=en
• DBLP: https://dblp.org/pid/78/8054.html?view=by-type

• [2025-05] 🎉🎉 one paper is accepted to Nature BME (IF=27.7).
• [2025-04] 🎉🎉 one paper is honored as CVPR 2025 Oral.
• [2025-03] 🎉🎉 one paper is accepted to TMM 2025.
• [2025-02] 🎉🎉 two papers are accepted to CVPR 2025.
• [2025-01] 🎉🎉 one paper is honored as AAAI 2025 Oral.
• [2024-12] 🎉🎉 two papers are accepted to AAAI 2025.
• [2024-06] 🎉🎉 one paper is accepted to CVPR 2024.
• [2023-07] 🎉🎉 one paper is accepted to MICCAI 2023.
• [2023-07] 🎉🎉 one paper is accepted to ICCV 2023.

My full paper list is shown at my personal homepage.

• CVPR 2025 Exploring CLIP’s Dense Knowledge for Weakly Supervised Semantic Segmentation, Zhiwei Yang, Yucong Meng, Kexue Fu, Feilong Tang, Shuo Wang, Zhijian Song
• AAAI 2025 MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation, Zhiwei Yang, Yucong Meng, Kexue Fu, Shuo Wang, Zhijian Song
• TMM 2025 Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation, Zhiwei Yang, Yucong Meng, Kexue Fu, Shuo Wang, Zhijian Song
• CVPR 2024 Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation, Zhiwei Yang, Kexue Fu, Minghong Duan, Linhao Qu, Shuo Wang, Zhijian Song

• ``Nature BME` Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Reports Leveraging Large Language and Vision Models, Shuo Wang*, Yan Zhu*, Xiaoyuan Luo*, Zhiwei Yang* (Co-first author), Yizhe Zhang, Peiyao Fu, et al.
• AAAI 2025 Oral Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification, Yucong Meng*, Zhiwei Yang* (Co-first author), Yonghong Shi, Zhijian Song
• ICCV 2023 Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification, Linhao Qu*, Zhiwei Yang* (Co-first author), Minghong Duan, Yinfan Ma, Manning Wang, Zhijian Song