๐Ÿง‘โ€๐ŸŽ“ About Me

I am a Ph.D. candidate in Computer and Information Engineering at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), under the supervision of Prof. Wenye Li and Prof. Jianfeng Mao. I obtained the Bachelorโ€™s degree in Physics from the University of Chinese Academy of Sciences (UCAS) in 2020.

I am currently visiting Prof. Qiang Sun at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI).

I have a broad interest in machine learning with a particular interest in statistics for AI, optimization, optimal transport, and generative models. My CV can be found here in Chinese and English (last updated: 2025-03-19).

๐Ÿท๏ธ Research Interests

Statistics for AI, Optimization, Optimal Transport, Generative Model.

๐Ÿ“‘ Research Topics

  • Efficient Similarity and Distance Learning for Incomplete Data (Previous Work)
    • Optimize similarity matrices for offline and online incomplete data (Published in NeurIPS, WWW, and UAI)
    • Estimate distance matrices for incomplete data in similarity search tasks (Published in AAAI, ECAI, and ECML)
  • Optimization and Generalization of Wasserstein Distance (Ongoing Work)
    • Develop an accurate tree-Wasserstein distance for approximating the 1-Wasserstein distance (Under Review)
    • Design a novel Wasserstein distance for unbalanced point clouds
  • Optimal Transport for Visual Generative Models (Future Work)
    • Apply optimal transport to flow matching and diffusion models
    • Investigate optimal transport techniques for video generation and multi-modal learning

๐Ÿ“ Publications & Preprint

$\dagger$: equal contributions; $\ast$: corresponding author

๐Ÿซ Educations

๐Ÿ’ป Internships

๐ŸŽ– Honors and Awards

  • 2023, PhD Fellowship, Shenzhen Research Institute of Big Data
  • 2022, PhD Fellowship, Shenzhen Research Institute of Big Data
  • 2022, Outstanding Teaching Assistant Award, The Chinese University of Hong Kong, Shenzhen
  • 2021, Outstanding Teaching Assistent Award, The Chinese University of Hong Kong, Shenzhen
  • 2021, PhD Fellowship, Shenzhen Research Institute of Big Data
  • 2020, PhD Fellowship, Shenzhen Research Institute of Big Data
  • 2019, Class III Scholarship, University of Chinese Academy of Sciences
  • 2017, Merit Student, University of Chinese Academy of Sciences

๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป Academic Service

  • Program Committee Member:
    ICML 2025, ICLR 2025, NeurIPS 2025/2024, WWW 2025, AAAI 2025/2024/2023, IJCAI 2025/2024, ECML 2022, etc.

๐Ÿ‘จ๐Ÿปโ€๐Ÿซ Teaching Assistant

  • MAT3007 Optimization. Instructor: Prof. Junfeng Wu. Summer 2024.
  • DDA4210 Advanced Machine Learning. Instructors: Prof. Jicong Fan & Prof. Tongxin Li. Spring & Fall 2023.
  • MAT3300 Mathematical Modeling. Instructor: Prof. Gongqiu Zhang. Fall 2022.
  • EIE4006 Performance Evaluation of Communication Networks. Instructor: Prof. Tony Lee. Summer 2022.
  • STA3010 Regression Analysis. Instructor: Prof. Feng Yin. Spring 2022.
  • MAT4003 Number Theory. Instructor: Prof. Jun Bo (Mario) Huan. Fall 2021.
  • MAT4004 Graph Theory. Instructor: Prof. Jun Bo (Mario) Huang. Spring 2021.
  • MAT3280 Probability Theory. Instructor: Prof. Kenneth Shum. Fall 2020.

Last Update: 2025-03-19