Phase retrieval using iterative projections: Dynamics in the large systems limit. - Gen Li 005; Yuantao Gu; Yue M. Lu (Allerton, 2015)

Principal angles preserving property of Gaussian random projection for subspaces. - Yuchen Jiao; Gen Li 005; Yuantao Gu (GlobalSIP, 2017)

Distance-preserving property of random projection for subspaces. - Gen Li 005; Yuantao Gu (ICASSP, 2017)

Spectral initialization for nonconvex estimation: High-dimensional limit and phase transitions. - Yue M. Lu; Gen Li 005 (ISIT, 2017)

Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation. - Yue M. Lu; Gen Li 005 (CoRR, 2017)

On the Outage Probability Conjecture for MIMO Channels. - Gen Li 005; Jingkai Yan; Yuantao Gu (CoRR, 2017)

Linear Convergence of An Iterative Phase Retrieval Algorithm with Data Reuse. - Gen Li 005; Yuchen Jiao; Yuantao Gu (CoRR, 2017)

Subspace Principal Angle Preserving Property of Gaussian Random Projection. - Yuchen Jiao; Xinyue Shen 002; Gen Li 005; Yuantao Gu (DSW, 2018)

Restricted Isometry Property for Low-Dimensional Subspaces and its Application in Compressed Subspace Clustering. - Gen Li 005; Qinghua Liu; Yuantao Gu (DSW, 2018)

Convergence Analysis on a Fast Iterative Phase Retrieval Algorithm Without Independence Assumption. - Gen Li 005; Yuchen Jiao; Yuantao Gu (ICASSP, 2018)

Outage Probability Conjecture Does Not Hold for Two-Input-Multiple-Output (TIM 0) System. - Gen Li 005; Jingkai Yan; Yuantao Gu (ISIT, 2018)

Rigorous Restricted Isometry Property of Low-Dimensional Subspaces. - Gen Li 005; Qinghua Liu; Yuantao Gu (CoRR, 2018)

A General Framework for Understanding Compressed Subspace Clustering Algorithms. - Linghang Meng; Gen Li 005; Jingkai Yan; Yuantao Gu (IEEE J. Sel. Top. Signal Process., 2018)

Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. - Yanxi Chen 001; Gen Li 005; Yuantao Gu (IEEE Signal Process. Lett., 2018)

An RIP-Based Performance Guarantee of Covariance-Assisted Matching Pursuit. - Jiayang Wang; Gen Li 005; Lucas Rencker; Wenwu Wang 001; Yuantao Gu (IEEE Signal Process. Lett., 2018)

Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces. - Gen Li 005; Yuantao Gu (IEEE Trans. Signal Process., 2018)

Information Theoretic Lower Bound of Restricted Isometry Property Constant. - Gen Li 005; Jingkai Yan; Yuantao Gu (ICASSP, 2019)

Johnson-Lindenstrauss Property Implies Subspace Restricted Isometry Property. - Xingyu Xu 001; Gen Li 005; Yuantao Gu (CoRR, 2019)

Compressed Subspace Learning Based on Canonical Angle Preserving Property. - Yuchen Jiao; Gen Li 005; Yuantao Gu (CoRR, 2019)

Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁2, ∞ Statistical Guarantees. - Changxiao Cai; Gen Li 005; Yuejie Chi; H. Vincent Poor; Yuxin Chen 002 (CoRR, 2019)

Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data. - Changxiao Cai; Gen Li 005; H. Vincent Poor; Yuxin Chen 002 (CoRR, 2019)

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. - Gen Li 005; Yuting Wei 001; Yuejie Chi; Yuantao Gu; Yuxin Chen 002 (NeurIPS, 2020)

The Efficacy of L1s Regularization in Two-Layer Neural Networks. - Gen Li 005; Yuantao Gu; Jie Ding 002 (CoRR, 2020)

Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. - Gen Li 005; Xingyu Xu 001; Yuantao Gu (IEEE Trans. Signal Process., 2020)

Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces. - Xingyu Xu 001; Gen Li 005; Yuantao Gu (IEEE Trans. Signal Process., 2020)

Softmax Policy Gradient Methods Can Take Exponential Time to Converge. - Gen Li 005; Yuting Wei 001; Yuejie Chi; Yuantao Gu; Yuxin Chen 002 (COLT, 2021)

Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. - Gen Li 005; Changxiao Cai; Yuxin Chen 002; Yuantao Gu; Yuting Wei 001; Yuejie Chi (ICML, 2021)

Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph. - Gen Li 005; Yuantao Gu (ICML, 2021)

Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. - Gen Li 005; Yuxin Chen 002; Yuejie Chi; Yuantao Gu; Yuting Wei 001 (NeurIPS, 2021)

Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. - Gen Li 005; Laixi Shi; Yuxin Chen 002; Yuantao Gu; Yuejie Chi (NeurIPS, 2021)

Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. - Gen Li 005; Changxiao Cai; Yuantao Gu; H. Vincent Poor; Yuxin Chen 002 (CoRR, 2021)

The Rate of Convergence of Variation-Constrained Deep Neural Networks. - Gen Li 005; Yuantao Gu; Jie Ding 002 (CoRR, 2021)

Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. - Laixi Shi; Gen Li 005; Yuting Wei 001; Yuxin Chen 002; Yuejie Chi (ICML, 2022)

Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model. - Gen Li 005; Yuejie Chi; Yuting Wei 001; Yuxin Chen 002 (NeurIPS, 2022)

Settling the Sample Complexity of Model-Based Offline Reinforcement Learning. - Gen Li 005; Laixi Shi; Yuxin Chen 002; Yuejie Chi; Yuting Wei 001 (CoRR, 2022)

Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games. - Yuling Yan; Gen Li 005; Yuxin Chen 002; Jianqing Fan (CoRR, 2022)

A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models. - Gen Li 005; Yuting Wei 001 (CoRR, 2022)

Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model. - Gen Li 005; Yuejie Chi; Yuting Wei 001; Yuxin Chen 002 (CoRR, 2022)

Multi-Agent Reinforcement Learning with Reward Delays. - Yuyang Zhang; Runyu Zhang 001; Gen Li 005; Yuantao Gu; Na Li 002 (CoRR, 2022)

Nonconvex Low-Rank Tensor Completion from Noisy Data. - Changxiao Cai; Gen Li 005; H. Vincent Poor; Yuxin Chen 002 (Oper. Res., 2022)

$ ell _1$ Regularization in Two-Layer Neural Networks. - Gen Li 005; Yuantao Gu; Jie Ding 002 (IEEE Signal Process. Lett., 2022)

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. - Gen Li 005; Yuting Wei 001; Yuejie Chi; Yuantao Gu; Yuxin Chen 002 (IEEE Trans. Inf. Theory, 2022)

Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. - Gen Li 005; Wenhao Zhan; Jason D. Lee; Yuejie Chi; Yuxin Chen 002 (NeurIPS, 2023)

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. - Laixi Shi; Gen Li 005; Yuting Wei 001; Yuxin Chen 002; Matthieu Geist; Yuejie Chi (NeurIPS, 2023)

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. - Gen Li 005; Yanxi Chen 001; Yuejie Chi; H. Vincent Poor; Yuxin Chen 002 (CoRR, 2023)

Approximate message passing from random initialization with applications to ℤ2 synchronization. - Gen Li 005; Wei Fan; Yuting Wei 001 (CoRR, 2023)

Sharp high-probability sample complexities for policy evaluation with linear function approximation. - Gen Li 005; Weichen Wu; Yuejie Chi; Cong Ma 001; Alessandro Rinaldo; Yuting Wei 001 (CoRR, 2023)

Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models. - Gen Li 005; Yuting Wei 001; Yuxin Chen 002; Yuejie Chi (CoRR, 2023)

Softmax policy gradient methods can take exponential time to converge. - Gen Li 005; Yuting Wei 001; Yuejie Chi; Yuxin Chen 002 (Math. Program., 2023)

Towards Understanding Variation-Constrained Deep Neural Networks. - Gen Li 005; Jie Ding 002 (IEEE Trans. Signal Process., 2023)

Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization. - Gen Li 005; Ganghua Wang; Jie Ding 002 (IEEE Trans. Inf. Theory, 2023)

The Efficacy of Pessimism in Asynchronous Q-Learning. - Yuling Yan; Gen Li 005; Yuxin Chen 002; Jianqing Fan (IEEE Trans. Inf. Theory, 2023)

Minimax-optimal reward-agnostic exploration in reinforcement learning. - Gen Li 005; Yuling Yan; Yuxin Chen 002; Jianqing Fan (COLT, 2024)

Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models. - Gen Li 005; Yuting Wei 001; Yuxin Chen 002; Yuejie Chi (ICLR, 2024)

Accelerating Convergence of Score-Based Diffusion Models, Provably. - Gen Li 005; Yu Huang 023; Timofey Efimov; Yuting Wei 001; Yuejie Chi; Yuxin Chen 002 (ICML, 2024)

Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models. - Gen Li 005; Yuling Yan (NeurIPS, 2024)

A non-asymptotic distributional theory of approximate message passing for sparse and robust regression. - Gen Li 005; Yuting Wei 001 (CoRR, 2024)

A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models. - Gen Li 005; Yuting Wei 001; Yuejie Chi; Yuxin Chen 002 (CoRR, 2024)

A Score-Based Density Formula, with Applications in Diffusion Generative Models. - Gen Li 005; Yuling Yan (CoRR, 2024)

Minimax-Optimal Multi-Agent Robust Reinforcement Learning. - Yuchen Jiao; Gen Li 005 (CoRR, 2024)

Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis. - Gen Li 005; Changxiao Cai; Yuxin Chen 002; Yuting Wei 001; Yuejie Chi (Oper. Res., 2024)

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. - Gen Li 005; Yuting Wei 001; Yuejie Chi; Yuxin Chen 002 (Oper. Res., 2024)

Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games. - Yuling Yan; Gen Li 005; Yuxin Chen 002; Jianqing Fan (Oper. Res., 2024)

High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation. - Gen Li 005; Weichen Wu; Yuejie Chi; Cong Ma 001; Alessandro Rinaldo; Yuting Wei 001 (IEEE Trans. Inf. Theory, 2024)

Towards a mathematical theory for consistency training in diffusion models. - Gen Li 005; Zhihan Huang; Yuting Wei 001 (AISTATS, 2025)

Improved Convergence Rate for Diffusion Probabilistic Models. - Gen Li 005; Yuchen Jiao (ICLR, 2025)

O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions. - Gen Li 005; Yuling Yan (ICLR, 2025)

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. - Gen Li 005; Yanxi Chen 001; Yu Huang 023; Yuejie Chi; H. Vincent Poor; Yuxin Chen 002 (SIAM J. Optim., 2025)

Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. - Gen Li 005; Changxiao Cai; H. Vincent Poor; Yuxin Chen 002 (IEEE Trans. Inf. Theory, 2025)