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Biography

I am a postdoctoral principal researcher working with Prof. Bahar Taşkesen at the University of Chicago Booth School of Business. I am passionate about computational improvement in areas including diffusion model and large language model (using optimal transport and optimization).

I received a PhD degree in Operations Research at CUHK in Feb 2025 fortunately advised by Prof. Anthony Man-Cho So. I also get valuable advice from Prof. Huifu Xu and Prof. Viet Anh Nguyen.

I obtained an MPhil degree in Data Science (2017-2020) from Peking University fortunately supervised by Prof. Zaiwen Wen, and a 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).

Selected Papers

*: Equal contribution, †: Corresponding author.

Schrödinger Bridge as Robustified Optimal Transport Flows. (Under review)
Jinxin Wang, Ya-Ping Hsieh, Bahar Taşkesen.
Short version at NeurIPS 2025 Workshop on Dynamics at the Frontiers of Optimization, Sampling, and Games (DynaFront).

Complexity Analysis of the Regular Simplicial Search Method with Reflection and Shrinking Steps for Derivative-Free Optimization. [arxiv]
Liyuan Cao, Wei Hu, Jinxin Wang.

Bridging Convex and Nonconvex Approaches: Geodesic Strong Convexity of QCQPs from Tightness and Strict Complementarity of SDR. [Slides]
Huikang Liu, Jinxin Wang†, Chonghe Jiang, Anthony Man-Cho So.

Randomized Submanifold Subgradient Method for Optimization over Stiefel Manifolds. [arxiv] (Under review)
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] (Under review)
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.

Scalable and Reliable First-Order Methods for Structured Non-Convex QCQPs. [PhD Thesis] [Slides]

Awards

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

Talks and Posters

  • SIAM Conference on Optimization, June, 2026, Edinburgh
  • INFORMS Optimization Society Conference, March, 2026, Atlanta
  • NeurIPS, December, 2025, San Diego
  • INFORMS Annual Meeting, October 2025, Atlanta
  • 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, Journal of Scientific Computing, Pacific Journal of Optimization
  • ICLR, AISTATS, ICML, NeurIPS 2025 Workshop DynaFront/COML

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: October 2025.