Yancheng Yuan
Office: TU 821
PolyU
Hong Kong SAR, China
I am an Assistant Professor in Department of Applied Mathematics, The Hong Kong Polytechnic University. I also serve as an Assistant Director of Research Center for Intelligent Operations Research. I was an Assistant Professor (2024.07 – 2025.02) in Department of Data Science and Artificial Intelligence. Before joining PolyU, I was a research fellow in NExT Research Center , School of Computing, National University of Singapore, working with Prof. Tat-Seng CHUA.
I obtained my PhD in Mathematics, from Department of Mathematics, National University of Singapore in 2020. My Ph.D supervisor is Prof. Kim-Chuan TOH. I was fortunately supervised by Prof. Defeng SUN from 2015 to 2018. Prior to NUS, I obtained my Bachelor’s degree in Computational Mathematics from University of Science and Technology of China (USTC) in 2015, where I was supervised by Prof. Juyong ZHANG.
Contact: X + Y, where X = yancheng.yuan, Y = @polyu.edu.hk
Openings : I am looking for postdoctoral fellows with foundation models/model compression/scientific computing backgrounds to join our research group. Please feel free to send me an email with your CV if you are interested.
news
| Apr 16, 2025 | Our paper HOT: An efficient Halpern accelerating algorithm for optimal transport problems has been accepted for publication at IEEE Transactions on Pattern Analysis and Machine Intelligence!  |
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| Apr 05, 2025 | One paper is accepted to ACM SIGIR 2025! |
| Mar 19, 2025 | Our paper Adaptive sieving: A dimension reduction technique for sparse optimization problems has been accepted for publication at Mathematical Programming Computation! |
| Feb 24, 2025 | Our paper Accelerating Preconditioned ADMM via Degenerate Proximal Point Mappings has been accepted for publication at SIAM Journal on Optimization! |
selected publications
- TPAMIHOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport ProblemsIEEE Transactions on Pattern Analysis and Machine Intelligence (accepted), 2025
- MPCAdaptive sieving: A dimension reduction technique for sparse optimization problemsMathematical Programming Computation (accepted), 2025
- SIOPTAccelerating Preconditioned ADMM via Degenerate Proximal Point MappingsSIAM Journal on Optimization (accepted), 2025
- ICLRA Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization ProblemsThe Thirteenth International Conference on Learning Representations (Accepted), 2025
- SIOPTAn Efficient Sieving based Secant Method for Sparse Optimization Problems with Least-squares ConstraintsSIAM Journal on Optimization, 2024
- ICMLCollective Certified Robustness against Graph Injection AttacksProceedings of the 41th International Conference on Machine Learning, 2024
- SIGIRLLaRA: Large Language-Recommendation AssistantThe 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
- SIOPTA Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex ClusteringSIAM Journal on Optimization, 2022