Junfu Tan (谭钧夫)

Email: junfu.tan [at] connect.hku.hk

I am a Ph.D. student at HKU, co-supervised by Feifei Wang, Liangqiong Qu. I received my dual M.S. in Electrical and Computer Engineering in the Georgia Tech and TJU. I received my B.S. in Computer Science from NJUST.

My research interest includes Generative Models, Geometric Neural Network and AI4Science.

Education

• 
  The University of Hong Kong (HKU)

  Ph.D. Student in Electrical and Computer Engineering (ECE)

  Sep. 2026 - Present
• 
  Georgia Institute of Technology & Tianjin University

  Dual M.S. in Electrical and Computer Engineering (ECE)

  Aug. 2023 - Jun. 2026
• 
  Nanjing University of Science and Technology

  B.E. in Computer Science (CS)

  Aug. 2018 - Jun. 2022

Internships

• 
  Microsoft Research

  Shanghai

  Research Intern

  Jan. 2025 - Jul. 2025

News

• 2026.02: 🎉 A Diffusion model paper accepted by CVPR 2026
• 2025.07: 🎉 An Open-Set Recognition paper accepted by ICCV 2025
• 2025.01: Joined Research as an intern, responsible for the design and development of the MatterSim model.

Publications

† co-first author

1. Low-Rank residual diffusion models.
   Junfu Tan, Jiang Yuan. Computer Vision and Pattern Recognition (CVPR), 2026.
   
2. MPBR: Multimodal Progressive Bidirectional Reasoning for Open-Set Fine-Grained Recognition.
   Junfu Tan, Peiguang Jing, Yu Zhu, Yu Liu. International Conference on Computer Vision (ICCV), 2025.
   
3. MatterSim-MT: A multi-task foundation model for in silico materials characterization.
   Han Yang , Xixian Liu , Chenxi Hu , Yichi Zhou , Yu Shi , Chang Liu , Junfu Tan† , Jielan Li , Guanzhi Li , Qian Wang , Yu Zhu , Zekun Chen , Shuizhou Chen , Fabian Thiemann , Claudio Zeni , Matthew Horton , Robert Pinsler ,Andrew Fowler , Daniel Zügner , Tian Xie , Lixin Sun , Yicheng Chen , Lingyu Kong , Yeqi Bai , Deniz Gunceler , Frank Noé , Hongxia Hao , Ziheng Lu. arXiv:2605.07927, 2026.
   
4. KappaFormer: Physics-aware Transformer for lattice thermal conductivity via cross-domain transfer learning.
   Mengfan Wu, Junfu Tan†, Yu Zhu, Jie Ren. arXiv:2604.03547, 2026.
   
5. Generative structure search for efficient and diverse discovery of molecular and crystal structures.
   Yifang Qin, Yu Shi, Junfu Tan, Chang Liu, Ming Zhang, Ziheng Lu. arXiv:2604.27636, 2026.
   
6. Probing the Limit of Heat Transfer in Inorganic Crystals with Deep Learning.
   Jielan Li, Zekun Chen, Qian Wang, Han Yang, Ziheng Lu, Guanzhi Li, Shuizhou Chen, Yu Zhu, Xixian Liu, Junfu Tan , Mingfa Tang, Yichi Zhou, Claudio Zeni, Andrew Fowler, Daniel Zügner, Robert Pinsler, Matthew Horton, Tian Xie, Tie-Yan Liu, Haiguang Liu, Tao Qin, Bing Lv, Davide Donadio, Hongxia Hao. arXiv:2503.11568, 2025.
   
7. Unified ROI-based Image Compression Paradigm with Generalized Gaussian Model.
   Kai Hu, Junfu Tan, Fang Xu, Ramy Samy, Yu Liu. arXiv:2503.11568, 2025.
   

2024 and before

8. Laser ultrasonic time-domain synthetic aperture focusing (SAFT) co-overlay software and hardware (COSH) computing system based on ZYNQ.
   Junfu Tan, Chenyin Ni, Chanjuan Wu, Kaining Ying, Lunan Dai, Zhonghua Shen. Front. Mater., 2024.
   
9. Research on laser ultrasonic wavefield based on physical-informed neural network.
   Xin Yan, Kaining Ying, Lunan Dai, Junfu Tan , Zhonghua Shen , Chenyin Ni. Laser Technology, 2024.
   
10. Research on Laser Ultrasonic Total Focusing Imaging Method Based on ZYNQ Acceleration.
    Chanjuan Wu , Kaining Ying , Lunan Dai, Junfu Tan , Zhonghua Shen , Chenyin Ni. Chinese Journal of Lasers, 2024.