Publications

Preprints

1. Riemannian Gradient Descent Method to Joint Blind Super-Resolution and Demixing in ISAC,
   Zeyu Xiang, Haifeng Wang, Jiayi Lv, Yujie Wang, Yuxue Wang, Yuxuan Ma and Jinchi Chen,
   arXiv:2410.08607, 2024.

2. Fast and Provable Simultaneous Blind Super-Resolution and Demixing for Point Source Signals: Scaled Gradient Descent without Regularization,
   Jinchi Chen,
   arXiv:2407.09900, 2024.

3. A Zeroth-Order Variance-Reduced Method for Decentralized Stochastic Non-convex Optimization,
   Hongxu Chen, Jinchi Chen and Ke Wei,
   arXiv:2310.18883, 2023.

4. On the Linear Convergence of Policy Gradient under Hadamard Parameterization,
   Jiacai Liu, Jinchi Chen and Ke Wei,
   arXiv:2305.19575, 2023.

Journals

1. Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction,
   Jie Feng, Ke Wei and Jinchi Chen,
   Journal of Scientific Computing. 101(44): 1 – 28, 2024.

2. Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning,
   Jinchi Chen, Jie Feng, Weiguo Gao and Ke Wei,
   Journal of Machine Learning Research. 25(172): 1−-49, 2024.

3. Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion,
   Haifeng Wang, Jinchi Chen and Ke Wei,
   Journal of Machine Learning Research. 24(347): 1−84, 2023.

4. Blind Super-Resolution of Point Sources via Fast Iterative Hard Thresholding,
   Zengying Zhu, Jinchi Chen and Weiguo Gao,
   Communications in Mathematical Sciences. 21(2): 581 – 590, 2023.

5. Blind Super-resolution of Point Sources via Projected Gradient Descent,
   Sihan Mao and Jinchi Chen,
   IEEE Transactions on Signal Processing. 70: 4649 – 4664, 2022. Code.

6. Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources,
   Jinchi Chen, Weiguo Gao, Sihan Mao and Ke Wei,
   IEEE Transactions on Information Theory, 68(12): 8280 – 8309, 2022.

7. Exact Matrix Completion Based on Low Rank Hankel Structure in the Fourier Domain,
   Jinchi Chen, Weiguo Gao and Ke Wei,
   Applied and Computational Harmonic Analysis. 55: 149 – 184, 2021.

8. Stable Recovery of Structured Signals from Corrupted Sub-Gaussian Measurements,
   Jinchi Chen and Yulong Liu,
   IEEE Transactions on Information Theory, 65(5): 2976 – 2994, 2019.

9. Data-Time Tradeoffs for Corrupted Sensing,
   Jinchi Chen and Yulong Liu,
   IEEE Signal Processing Letters, 25(7): 941 – 945, 2018.

Conference Proceedings

1. Simultaneous Blind Demixing and Super-resolution via Vectorized Handle Lift,
   Haifeng Wang, Jinchi Chen, Hulei Fan, Yuxiang Zhao and Li You,
   2024 IEEE International Conference on Communications (ICC), 354 – 359, 2024.

2. Blind Super-resolution via Projected Gradient Descent,
   Sihan Mao and Jinchi Chen,
   2022 IEEE International Symposium on Information Theory (ISIT), 1826 – 1831, 2022.

3. Corrupted Sensing with Sub-Gaussian Measurements,
   Jinchi Chen and Yulong Liu,
   2017 IEEE International Symposium on Information Theory (ISIT), 516 – 520, 2017.