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Biography

I am Jinxin Wang, a final-year PhD candidate at the Chinese University of Hong Kong fortunately advised by Prof. Anthony Man-Cho So. My research interest lies in 1. theoretical foundations of nonconvex optimization 2. computational aspects of large-scale optimization. I am also interested in stochastic programming and get valuable advice from Prof. Huifu Xu and Prof. Viet Anh Nguyen.

I will join Booth School of Business (University of Chicago) as a postdoctoral principal researcher working with Prof. Bahar Taşkesen in 2025/1!

Prior to joining CUHK, I obtained MPhil in Data Science (2017-2020) from Peking University fortunately supervised by Prof. Zaiwen Wen, and bachelor's degree in Applied Mathematics (2013-2017; Loo-Keng Hua Elite Program; minor in Finance) from Dalian University of Technology fortunately advised by Prof. Liwei Zhang. In addition, I was an exchange student (2016-2017) under the great supervision of Prof. Xin Liu at the Academy of Mathematics and Systems Science (AMSS), the Chinese Academy of Sciences (CAS), and an intern in Didi Chuxing (2019; Mentor: Dr. Zhe Xu).

Selected Papers

Randomized Submanifold Subgradient Method for Optimization over Stiefel Manifolds. [arxiv]
Andy Yat-Ming Cheung, Jinxin Wang, Man-Chung Yue, Anthony Man-Cho So.

On the Estimation Performance of Generalized Power Method for Heteroscedastic Probabilistic PCA. [arxiv]
Jinxin Wang, Chonghe Jiang, Huikang Liu, Anthony Man-Cho So.

Decentralized Non-Smooth Optimization Over the Stiefel Manifold. [arxiv]
Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So.
Short version at IEEE SAM 2024 as an invited paper.

Projected Tensor Power Method for Hypergraph Community Recovery. [paper]
Jinxin Wang, Yuen-Man Pun, Xiaolu Wang, Peng Wang, Anthony Man-Cho So.
Proceedings of the 40th International Conference on Machine Learning (ICML 2023).

Orthogonal Group Synchronization with Incomplete Measurements: Error Bounds and Linear Convergence of the Generalized Power Method. [arxiv; background video]
Linglingzhi Zhu, Jinxin Wang, Anthony Man-Cho So.

Optimization: Modeling, Algorithm and Theory (in Chinese) [Book]
I contributed to the ADMM part.

Awards

  • CUHK Postgraduate Student Scholarship 2020-2024
  • CUHK Support of Overseas Conference Travel 2024
  • IEEE SAM Travel Grant 2024
  • CUHK RPG Student Grants for Overseas Academic Activities 2023 & 2024
  • CUHK Reaching Out Award 2023
  • Loo-Keng Hua Scholarship 2015

Talks and Posters

  • International conference on continuous optimization (ICCOPT), July 2025, Los Angeles
  • IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), July 2024, Corvallis, Oregon
  • International Conference on Machine Learning (ICML), July 2023, Honolulu, Hawaii
  • Graduate Forum of the Mathematical Programming Branch of ORSC, Dec 2022, virtual
  • First ORSHK Young Researchers Workshop, Nov 2022, Hong Kong
  • IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2021, virtual

Professional Services

Reviewer for
  • SIAM Journal on Optimization, Mathematics of Operations Research, IEEE Transactions on Information Theory, Journal of Global Optimization
  • ICLR, AISTATS

Teaching Assistant

SEEM 2440 Engineering Economics (Instructor: Prof. Dohyun Ahn), 2022 Fall, 2023 Fall
SEEM 5880 Supply Chain Management (Instructor: Dr. HO, Sin Cheung), 2022 Spring
ESTR 1005 Linear Algebra for Engineers (Instructor: Prof. Daniel Long), 2022 Spring
SEEM 5710 Principles of Operations Management (Instructor: Dr. HO, Sin Cheung), 2021 Fall
ENGG 5501 Foundations of Optimization (Instructor: Prof. Anthony Man-Cho So), 2021 Fall, 2022 Fall
SEEM 3500 Quality Control and Management (Instructor: Prof. Huifu Xu), 2021 Spring
ENGG 2760D Probability for Engineers (Instructor: Prof. Huifu Xu, Dr. NG Chi Kong Kevin), 2020 Fall, 2023 Fall

Last updated date: Sep 2024.