๐งโ๐ 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 Bachelorโs 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).
๐ท๏ธ Research Interests
Statistics for AI, Optimization, Optimal Transport, Generative Model.
๐ 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
๐ Publications & Preprint
$\dagger$: equal contributions; $\ast$: corresponding author
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A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective
Fangchen Yu$\dagger \ast$, Yicheng Zeng$\dagger \ast$, Jianfeng Mao, Wenye Li
[Paper] [Code] [bibtex] -
KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning
Fangchen Yu, Ruilizhen Hu, Yidong Lin, Yuqi Ma, Zhenghao Huang, Wenye Li$\ast$
[Paper] [Code] [bibtex] -
FedLF: Layer-wise Fair Federated Learning
Zibin Pan, Chi Li, Fangchen Yu, Shuyi Wang, Haijin Wang, Xiaoying Tang$\ast$, Junhua Zhao$\ast$
[Paper] [Code] [Poster] [bibtex]
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DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction
Fangchen Yu (internship), Yina Xie, Lei Wu, Yafei Wen, Guozhi Wang, Shuai Ren, Xiaoxin Chen, Jianfeng Mao, Wenye Li$\ast$
[Paper] [Code] [Poster] [bibtex]
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Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning
Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li$\ast$
[Paper] [Code] [Video] [PPT] [Poster] [bibtex]
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Online Estimation of Similarity Matrices with Incomplete Data
Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li$\ast$
[Paper] [Code] [Poster] [bibtex]
-
Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction
Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li$\ast$
[Paper] [Code] [Poster] [bibtex]
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From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values
Fangchen Yu, Zhan Shi, Yuqi Ma, Jianfeng Mao, Wenye Li$\ast$
[Paper] [bibtex] -
Metric Nearness Made Practical
Wenye Li, Fangchen Yu, Zichen Ma
[Paper] [Code] [Poster] [bibtex]
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Calibrating Distance Metrics Under Uncertainty
Wenye Li$\ast$, Fangchen Yu
[Paper] [bibtex] -
Learning Sparse Binary Code for Maximum Inner Product Search
Changyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li$\ast$
[Paper] [bibtex] (Best Short Paper Finalist)
๐ซ Educations
- Sep. 2020 - Now,
Ph.D. Candidate in Computer and Information Engineering, at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ; Supervisors: Prof. Wenye Li and Prof. Jianfeng Mao). - Oct. 2024 - Now,
Visiting Student, at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI, ranked Top10 globally in AI; Supervisor: Prof. Qiang Sun). - Sep. 2016 - Jun. 2020,
B.S. in Physics, at University of Chinese Academy of Sciences (UCAS). - Aug. 2019 - Dec. 2019,
Global Study Program, at University of California, Davis (UCD).
๐ป Internships
- Sep. 2020 - Aug. 2024,
Graduate Research Assistant, at Shenzhen Research Institute of Big Data, Shenzhen, China. (Supervisors: Prof. Wenye Li, Dr. Yicheng Zeng) - Mar. 2023 - Jul. 2023,
Research Intern, at Vivo AI Lab, Shenzhen, China. (Area: Visual Understanding and Generation)
๐ 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
๐จ๐ปโ๐ป Academic Service
- Program Committee Member:
ICML 2025, ICLR 2025, NeurIPS 2025/2024, WWW 2025, AAAI 2025/2024/2023, IJCAI 2025/2024, ECML 2022, etc.
๐จ๐ปโ๐ซ 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