• [10/2026] I have been selected as a DAAD AINeT Fellow!
• [06/2026] One paper was accepted by MICCAI 2026!
• [03/2026] One paper was accepted by Medical Image Analysis!
• [01/2026] One paper was accepted by ICLR 2026!
• [11/2025] One paper was accepted by Nature Communications!
• [09/2025] One paper was accepted by NeurIPS 2025!
• [05/2025] One paper was accepted by ACL 2025!
• [05/2025] One paper was accepted by ICML 2025!

🎓 Education

• The University of Hong Kong
  Aug. 2023 – Present
  
  Doctor of Philosophy, Computing and Data Science
  Hong Kong S.A.R.
  
• Zhejiang University
  Sep. 2019 – Jun. 2022
  
  Master of Engineering, Mechanical Engineering
  Hangzhou, China
  
• Zhejiang University
  Sep. 2015 – Jun. 2019
  
  Bachelor of Engineering, Mechanical Engineering(Rank 4/115)
  Hangzhou, China
  

📎 Experience

• JD.com, Inc.
  Jul. 2026 – Present
  
  TGT (Tech Genius Team) Research Intern
  Topic: Multimodal foundation model research for 3D medical imaging
  
• The Alibaba Group
  Jul. 2022 – Jul. 2023
  
  Software Engineer
  Topic: Logistics and transportation timeliness in Digital Chain
  
• The Alibaba Group
  May. 2021 – Aug. 2021
  
  Software Engineer Intern
  Topic: Channel Service Platform in Digital Chain
  
• The Chinese University of Hong Kong (Shenzhen)
  Jul. 2018 – Jun. 2019
  
  Research Intern
  Topic: Emotionally interactive robot design for the treatment of autism
  

📖 Selected Publications [Google Scholar]

* indicates equal contribution; ^† indicates corresponding authorship.

2026

• Diagnostic Evidence-based Prototype Learning via Dirichlet Process for Multimodal Bone Tumor Subtyping
  Feng Wu, Ruiling She, Ruiyang Zhang, Liang Peng, Qiang Ma, Yinghua Zhao, Lequan Yu^†.
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026.
  

• MorphoNet: Morphological Sub-region-based Structure Learning for WSI Analysis
  Fuying Wang*, Feng Wu*, Ming Hu, Junjun He, Liansheng Wang, Jianning Chen, Li Liang, Shujun Wang, Lequan Yu^†.
  Medical Image Analysis (MedIA), 2026.
  

• Horseshoe Splatting: Handling Structural Sparsity for Uncertainty-Aware Gaussian-Splatting Radiance Field Rendering
  Feng Wu*, Tsai Hor Chan*, Yihang Chen, Lingting Zhu, Guosheng Yin, Lequan Yu^†.
  The Fourteenth International Conference on Learning Representations (ICLR), 2026.
  

2025

• Knowledge-guided adaptation of pathology foundation models effectively improves cross-domain generalization and demographic fairness
  Yanyan Huang, Weiqin Zhao, Zhengyu Zhang, Yihang Chen, Yu Fu, Feng Wu, Yuming Jiang, Li Liang, Shujun Wang, Lequan Yu^†.
  Nature Communications, 2025.
  
• Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
  Tsai Hor Chan*, Feng Wu*, Yihang Chen, Guosheng Yin, Lequan Yu^†.
  The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
  
• CTPD: Cross-modal temporal pattern discovery for enhanced multimodal electronic health records analysis
  Fuying Wang*, Feng Wu*, Yihan Tang, Lequan Yu^†.
  Findings of the Association for Computational Linguistics (ACL), 2025.
  
• Cross-Modal Alignment via Variational Copula Modelling
  Feng Wu*, Tsai Hor Chan*, Fuying Wang, Guosheng Yin, Lequan Yu^†.
  Forty-second International Conference on Machine Learning (ICML), 2025.
  

Before 2025

• Head design and optimization of an emotionally interactive robot for the treatment of autism
  Feng Wu, Shengzhao Lin, Xiangfei Cao, Huixin Zhong, Jiaming Zhang^†.
  Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering (CACRE), 2019.
  

🏆 Honors & Awards

• DAAD AINeT Fellow, 2026
• ICML 2026 Gold Reviewer, 2026
• ICLR 2026 Financial Assistance Award, 2026
• NeurIPS 2025 Scholar Award, 2025
• Postgraduate Scholarship Award, University of Hong Kong, 2023-2027
• Award of Honor for Graduate, Zhejiang University, 2020
• Outstanding Graduate of Zhejiang University, 2019
• "Silver Award" of National Graduation Design Competition (Top 8), Chinese Mechanical Engineering Society, 2019
• Elite Liu Yongling Scholarship, Zhejiang University, 2019
• First-class Scholarship for Outstanding Students, Zhejiang University, 2017
• Third-class Scholarship for Outstanding Students, Zhejiang University, 2016, 2018

📏 Professional Activities

📚 Teaching