Jinchi Chen

According to our database, Jinchi Chen authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Global Convergence of Natural Policy Gradient with Hessian-Aided Momentum Variance Reduction.

Jie Feng, Ke Wei, Jinchi Chen

J. Sci. Comput., November, 2024

Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning.

Jinchi Chen, Jie Feng, Weiguo Gao, Ke Wei

J. Mach. Learn. Res., 2024

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, Jinchi Chen

CoRR, 2024

Fast and Provable Simultaneous Blind Super-Resolution and Demixing for Point Source Signals: Scaled Gradient Descent without Regularization.

Jinchi Chen

CoRR, 2024

Simultaneous Blind Demixing and Super-resolution via Vectorized Hankel Lift.

Haifeng Wang, Jinchi Chen, Hulei Fan, Yuxiang Zhao, Li Yu

Proceedings of the IEEE International Conference on Communications, 2024

2023

Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion.

Haifeng Wang, Jinchi Chen, Ke Wei

J. Mach. Learn. Res., 2023

On the Linear Convergence of Policy Gradient under Hadamard Parameterization.

Jiacai Liu, Jinchi Chen, Ke Wei

CoRR, 2023

2022

Blind Super-Resolution of Point Sources via Projected Gradient Descent.

Sihan Mao, Jinchi Chen

IEEE Trans. Signal Process., 2022

Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources.

Jinchi Chen, Weiguo Gao, Sihan Mao, Ke Wei

IEEE Trans. Inf. Theory, 2022

Blind Super-Resolution via Projected Gradient Descent.

Sihan Mao, Jinchi Chen

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Low Rank Vectorized Hankel Lift for Matrix Recovery via Fast Iterative Hard Thresholding.

Zengying Zhu, Jinchi Chen, Weiguo Gao

CoRR, 2021

2020

Simulated or Physical? An Empirical Study on Input Validation for Context-aware Systems in Different Environments.

Jinchi Chen, Yi Qin, Huiyan Wang, Chang Xu

Proceedings of the Internetware'20: 12th Asia-Pacific Symposium on Internetware, 2020

2019

Stable Recovery of Structured Signals From Corrupted Sub-Gaussian Measurements.

Jinchi Chen, Yulong Liu

IEEE Trans. Inf. Theory, 2019

Exact matrix completion based on low rank Hankel structure in the Fourier domain.

Jinchi Chen, Weiguo Gao, Ke Wei

CoRR, 2019

A Framework for Evaluating Snippet Generation for Dataset Search.

Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu

Proceedings of the Semantic Web - ISWC 2019, 2019

Towards More Usable Dataset Search: From Query Characterization to Snippet Generation.

Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Data-Time Tradeoffs for Corrupted Sensing.

Jinchi Chen, Yulong Liu

IEEE Signal Process. Lett., 2018

2017

Corrupted sensing with sub-Gaussian measurements.

Jinchi Chen, Yulong Liu

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017