Yancheng Yuan

PaulYuan.jpg

Office: TU 821

PolyU

Hong Kong SAR, China

I am an Assistant Professor in Department of Applied Mathematics, The Hong Kong Polytechnic University. I was a Research Assistant Professor in the same department. 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 was a co-founder and the CEO of YIDU AI Private Limited (an AI start-up based in Singapore) from 2018 to 2020.

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

news

May 16, 2024 One paper is accepted to ACL 2024! :tada:
May 02, 2024 One paper is accepted to ICML 2024! :tada:
Apr 28, 2024 A new personal page is online! :sparkles: :smile:

selected publications

  1. SIOPT
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    An Efficient Sieving based Secant Method for Sparse Optimization Problems with Least-squares Constraints
    Qian Li , Defeng Sun , and Yancheng Yuan
    SIAM Journal on Optimization. ( accepted for publication ) , 2024
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  2. ICML
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    Collective Certified Robustness against Graph Injection Attacks
    Yuni Lai , Bailin Pan , Kaihuang Chen , Yancheng Yuan, and Kai Zhou
    Proceedings of the 41th International Conference on Machine Learning, 2024
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  3. SIGIR
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    LLaRA: Large Language-Recommendation Assistant
    Jiayi Liao , Sihang Li , Zhengyi Yang , Jiancan Wu , Yancheng Yuan, Xiang Wang , and Xiangnan He
    The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
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  4. NeurIPS
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    Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
    Zhengyi Yang , Jiancan Wu , Zhicai Wang , Yancheng Yuan, Xiang Wang , and Xiangnan He
    The 37th Conference on Neural Information Processing Systems, 2023
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  5. SIOPT
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    A Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex Clustering
    Yancheng Yuan, Tsung-Hui Chang , Defeng Sun , and Kim-Chuan Toh
    SIAM Journal on Optimization, 2022
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  6. ArXiv
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    An Efficient HPR Algorithm for the Wasserstein Barycenter Problem with O(Dim(P)/ε) Computational Complexity
    Guojun Zhang , Yancheng Yuan, and Defeng Sun
    ArXiv 2211.14881, 2022
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  7. JMLR
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    Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm
    Defeng Sun , Kim-Chuan Toh , and Yancheng Yuan
    Journal of Machine Learning Research, 2021
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  8. ICML
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    An Efficient Semismooth Newton Based Algorithm for Convex Clustering
    Yancheng Yuan, Defeng Sun , and Kim-Chuan Toh
    Proceedings of the 35th International Conference on Machine Learning, 2018
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