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 and an Associate Director (Research and Development Management) of CITIC-PolyU Interdisciplinary Mathematical Digital AI Joint Laboratory (AIJLab). 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 highly self-motivated PhD students and postdoctoral fellows with foundation models/optimization/scientific computing/statistics backgrounds to join our research group.
- I am looking for Research Engineers and Research Assistants with backgrounds in LLMs/Scientific Computing to join our research group.
Please feel free to send me an email with your CV if you are interested. Shortlisted candidates will be contacted for online interviews.
news
Jul 04, 2025 | Our new manuscript HPR-QP has been posted on arXiv. The open source HPR-QP solver will be made public soon! |
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Jul 01, 2025 | An open source HOT solver for the optimal transport problem is made public at Github. Please click here for the source codes of our solver. |
Jun 28, 2025 | Our paper “Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees” has been accepted for publication at Journal of Machine Learning Research! ![]() |
Jun 27, 2025 | One paper gets accepted for publication at ICCV 2025! ![]() |
May 18, 2025 | Our paper LAMBDA: A Large Model Based Data Agent has been accepted for publication at Journal of the American Statistical Association! ![]() |
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! ![]() |
selected publications
- JMLRRandomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery GuaranteesJournal of Machine Learning Research (accepted), 2025
- arXiv
- 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