I am an Assistant Professor in the Department of Statistics and Data Science at Fudan University.

Before joining Fudan, I was a Postdoctoral Research Fellow in the Department of Statistics at the University of Michigan, Ann Arbor, working with Prof. Yang Chen.

I received my Ph.D. in Mathematics from the Department of Mathematics at the Hong Kong University of Science and Technology in June 2023, under the supervision of Prof. Jian-Feng Cai and Prof. Dong Xia. I obtained my Bachelor’s degree in Mathematics from Zhejiang University in June 2019.

Publications

1. Local Interaction Autoregressive Model for High Dimension Time Series Data
   Jingyang Li and Yang Chen.
   Statistica Sinica, 2026, Accepted [arXiv].

2. Online tensor learning: Computational and statistical trade-offs, adaptivity and optimal regret
   Jingyang Li, Jian-Feng Cai, Yang Chen, and Dong Xia.
   The Annals of Statistics, 54(3), 1153-1177, 2026.

3. Online policy learning and inference by matrix completion
   Congyuan Duan, Jingyang Li, and Dong Xia.
   Journal of the American Statistical Association, 121(553), 598-611, 2026.

4. Computationally efficient and statistically optimal robust high-dimensional linear regression
   Yinan Shen, Jingyang Li, Jian-Feng Cai, and Dong Xia.
   The Annals of Statistics, 53(1), 374-399, 2025.

5. Restoration guarantee of image inpainting via low rank patch matrix completion
   Jian-Feng Cai, Jae Kyu Choi, Jingyang Li, and Guojian Yin.
   SIAM Journal on Imaging Sciences, 17(3), 1879-1908, 2024.

6. Generalized low-rank plus sparse tensor estimation by fast Riemannian optimization
   Jian-Feng Cai, Jingyang Li, and Dong Xia.
   Journal of the American Statistical Association, 118(544), 2588-2604, 2023.

7. Provable sample-efficient sparse phase retrieval initialized by truncated power method
   Jian-Feng Cai, Jingyang Li, and Juntao You.
   Inverse Problems, 39(7), 075008, 2023.

8. Image restoration: Structured low rank matrix framework for piecewise smooth functions and beyond
   Jian-Feng Cai, Jae Kyu Choi, Jingyang Li, and Ke Wei.
   Applied and Computational Harmonic Analysis, 56, 26-60, 2022.

9. Provable tensor-train format tensor completion by riemannian optimization
   Jian-Feng Cai, Jingyang Li, and Dong Xia.
   Journal of Machine Learning Research, 23(123), 1-77, 2022.

Preprints

1. Online Riemannian Gradient Descent for Quantum State Tomography with Matrix Product Operators
   Jian-Feng Cai, Jingyang Li, Xiaoqun Zhang, and Yuanwei Zhang.
   arXiv preprint arXiv:2605.04533, 2026 [arXiv].

2. Uncertainty Quantification for Noisy Low-tubal-rank Tensor Completion
   Jiuqian Shang, Jingyang Li, and Yang Chen.
   arXiv preprint arXiv:2604.10353, 2026 [arXiv].

3. HeteroJIVE: Joint Subspace Estimation for Heterogeneous Multi-View Data
   Jingyang Li and Zhongyuan Lyu.
   arXiv preprint arXiv:2512.02866, 2025 [arXiv].

4. Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
   Jingyang Li, Jiuqian Shang, and Yang Chen.
   arXiv preprint arXiv:2505.11261, 2025 [arXiv].

5. Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
   Jingyang Li, T. Tony Cai, Dong Xia, and Anru R. Zhang.
   arXiv preprint arXiv:2411.15660, 2024 [arXiv].

6. Computationally efficient and statistically optimal robust low-rank matrix and tensor estimation
   Yinan Shen, Jingyang Li, Jian-Feng Cai, and Dong Xia.
   arXiv preprint arXiv:2203.00953, 2022 [arXiv].

Selected Invited Talks

Related paper: HeteroJIVE: Joint Subspace Estimation for Heterogeneous Multi-View Data

• Department of Mathematics, East China Normal University, April 2026 (department seminar)
• Department of Mathematics, Tongji University, March 2026 (department seminar)
• Department of Mathematics, The Hong Kong University of Science and Technology, February 2026 (department seminar)
• Department of Mathematics, University of Macau, January 2026 (department seminar)
• School of Science and Engineering, CUHK-SZ, January 2026 (department seminar)
• Joint Meetings of 2025 Taipei International Statistical Symposium and the 13th ICSA International Conference, December 2025 (invited talk)
• IMS Young Mathematical Scientists Forum, NUS, November 2025 (invited talk)

Related paper: Online tensor learning: Computational and statistical trade-offs, adaptivity and optimal regret

• Department of Mathematics, Fudan University, June 2026 (department seminar)
• Hong Kong Baptist University, October 2023 (department seminar)
• HKUST SIAM Student Chapter Annual Meeting, June 2023 (invited talk)
• Capital of Statistics, April 2023 (invited talk) [link]

Contact

Email: jjyyli@fudan.edu.cn

Address: Room 114, Siyuan Building, Fudan University