Yancheng Yuan
Office: TU 821
PolyU
Hong Kong SAR, China
I am an Assistant Professor in Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, since July 01, 2024. I also serve as an Assistant Director at Research Center for Intelligent Operations Research. I was an Assistant Professor (2023.04 – 2024.06) and a Research Assistant Professor (2021.04 – 2023.03) at Department of Applied Mathematics, The Hong Kong Polytechnic University. Before that. 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
selected publications
- 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
- arXivAn Efficient HPR Algorithm for the Wasserstein Barycenter Problem with O(Dim(P)/ε) Computational ComplexityarXiv:2211.14881, 2022