| 2026 | WCNC | Joint Channel Estimation and Equalization for MU-MIMO-OFDM Uplink Based on Spatial-Temporal-Frequency GNN. | Chi Jin, Feng He, Qian Zhang, Yongzhou Yang |
| 2026 | WCNC | Implementation of a Broadband ISAC System Based on Real-Time Channelization and DoAAided Beamforming Optimization. | Qian Zhang, Feng He, Chi Jin, Yongzhou Yang |
| 2025 | ICCV | DOLLAR: Few-Step Video Generation Via Distillation and Latent Reward Optimization. | Zihan Ding, Chi Jin, Difan Liu, Haitian Zheng, Krishna Kumar Singh, Qiang Zhang, Yan Kang, Zhe Lin, Yuchen Liu |
| 2025 | ICLR | Building Math Agents with Multi-Turn Iterative Preference Learning. | Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu |
| 2025 | ICLR | Benign Overfitting in Out-of-Distribution Generalization of Linear Models. | Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin |
| 2025 | ICML | Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games. | Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin |
| 2025 | ICML | MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. | Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang |
| 2025 | ICML | PokChamp: an Expert-level Minimax Language Agent. | Seth Karten, Andy Luu Nguyen, Chi Jin |
| 2025 | WCNC | Enhanced Physical Layer Security for Full-Duplex Facultative Symbiotic Radio: A Pattern Switching and Multi-Device Scheduling Strategy. | Chi Jin, Zheng Chang, Fengye Hu, Mingan Luan, Timo Hmlinen |
| 2024 | AFT | Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol. | Mahsa Bastankhah, Viraj Nadkarni, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath |
| 2024 | FC | ZeroSwap: Data-Driven Optimal Market Making in Decentralized Finance. | Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath |
| 2024 | ICLR | Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning. | Zihan Ding, Chi Jin |
| 2024 | ICLR | On the Provable Advantage of Unsupervised Pretraining. | Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin |
| 2024 | ICLR | Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. | Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin |
| 2024 | ICML | Tuning-Free Stochastic Optimization. | Ahmed Khaled, Chi Jin |
| 2024 | ICML | FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning. | Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin |
| 2023 | COLT | Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation. | Yuanhao Wang, Qinghua Liu, Yu Bai, Chi Jin |
| 2023 | ICLR | Faster federated optimization under second-order similarity. | Ahmed Khaled, Chi Jin |
| 2023 | ICLR | Learning Rationalizable Equilibria in Multiplayer Games. | Yuanhao Wang, Dingwen Kong, Yu Bai, Chi Jin |
| 2023 | ICLR | Provable Sim-to-real Transfer in Continuous Domain with Partial Observations. | Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang |
| 2023 | ICLR | Representation Learning for Low-rank General-sum Markov Games. | Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang |
| 2023 | ICML | Efficient displacement convex optimization with particle gradient descent. | Hadi Daneshmand, Jason D. Lee, Chi Jin |
| 2023 | STOC | Optimistic MLE: A Generic Model-Based Algorithm for Partially Observable Sequential Decision Making. | Qinghua Liu, Praneeth Netrapalli, Csaba Szepesvri, Chi Jin |
| 2022 | COLT | When Is Partially Observable Reinforcement Learning Not Scary? | Qinghua Liu, Alan Chung, Csaba Szepesvri, Chi Jin |
| 2022 | ICLR | Understanding Domain Randomization for Sim-to-real Transfer. | Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang |
| 2022 | ICLR | Minimax Optimization with Smooth Algorithmic Adversaries. | Tanner Fiez, Chi Jin, Praneeth Netrapalli, Lillian J. Ratliff |
| 2022 | ICML | Near-Optimal Learning of Extensive-Form Games with Imperfect Information. | Yu Bai, Chi Jin, Song Mei, Tiancheng Yu |
| 2022 | ICML | Provable Reinforcement Learning with a Short-Term Memory. | Yonathan Efroni, Chi Jin, Akshay Krishnamurthy, Sobhan Miryoosefi |
| 2022 | ICML | The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces. | Chi Jin, Qinghua Liu, Tiancheng Yu |
| 2022 | ICML | Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits. | Qinghua Liu, Yuanhao Wang, Chi Jin |
| 2022 | ICML | A Simple Reward-free Approach to Constrained Reinforcement Learning. | Sobhan Miryoosefi, Chi Jin |
| 2021 | COLT | A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network. | Mo Zhou, Rong Ge, Chi Jin |
| 2021 | ICLR | Provable Rich Observation Reinforcement Learning with Combinatorial Latent States. | Dipendra Misra, Qinghua Liu, Chi Jin, John Langford |
| 2021 | ICML | Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning. | Yaqi Duan, Chi Jin, Zhiyuan Li |
| 2021 | ICML | Near-Optimal Representation Learning for Linear Bandits and Linear RL. | Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang |
| 2021 | ICML | A Sharp Analysis of Model-based Reinforcement Learning with Self-Play. | Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin |
| 2021 | ICML | Provable Meta-Learning of Linear Representations. | Nilesh Tripuraneni, Chi Jin, Michael I. Jordan |
| 2020 | COLT | Provably efficient reinforcement learning with linear function approximation. | Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan |
| 2020 | COLT | Near-Optimal Algorithms for Minimax Optimization. | Tianyi Lin, Chi Jin, Michael I. Jordan |
| 2020 | ICML | Provable Self-Play Algorithms for Competitive Reinforcement Learning. | Yu Bai, Chi Jin |
| 2020 | ICML | Provably Efficient Exploration in Policy Optimization. | Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang |
| 2020 | ICML | Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition. | Chi Jin, Tiancheng Jin, Haipeng Luo, Suvrit Sra, Tiancheng Yu |
| 2020 | ICML | Reward-Free Exploration for Reinforcement Learning. | Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu |
| 2020 | ICML | What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? | Chi Jin, Praneeth Netrapalli, Michael I. Jordan |
| 2020 | ICML | On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems. | Tianyi Lin, Chi Jin, Michael I. Jordan |
| 2018 | COLT | Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent. | Chi Jin, Praneeth Netrapalli, Michael I. Jordan |
| 2017 | AISTATS | Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot. | Prateek Jain, Chi Jin, Sham M. Kakade, Praneeth Netrapalli |
| 2017 | ICML | No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis. | Rong Ge, Chi Jin, Yi Zheng |
| 2017 | ICML | How to Escape Saddle Points Efficiently. | Chi Jin, Rong Ge, Praneeth Netrapalli, Sham M. Kakade, Michael I. Jordan |
| 2016 | COLT | Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm. | Prateek Jain, Chi Jin, Sham M. Kakade, Praneeth Netrapalli, Aaron Sidford |
| 2016 | ICML | Faster Eigenvector Computation via Shift-and-Invert Preconditioning. | Dan Garber, Elad Hazan, Chi Jin, Sham M. Kakade, Cameron Musco, Praneeth Netrapalli, Aaron Sidford |
| 2016 | ICML | Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis. | Rong Ge, Chi Jin, Sham M. Kakade, Praneeth Netrapalli, Aaron Sidford |
| 2016 | IECON | Coordination secondary control for autonomous hybrid AC/DC microgrids with global power sharing operation. | Chi Jin, Junjun Wang, Leong Hai Koh, Fook Hoong Choo, Peng Wang |
| 2015 | COLT | Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition. | Rong Ge, Furong Huang, Chi Jin, Yang Yuan |
| 2013 | IECON | Reduction of dc-link capacitance for three-phase three-wire shunt active power filters. | Chi Jin, Yi Tang, Peng Wang, Xiong Liu, Dexuan Zhu, Frede Blaabjerg |
| 2013 | IECON | An efficiency improved single-phase PFC converter for electric vehicle charger applications. | Dexuan Zhu, Yi Tang, Chi Jin, Peng Wang, Frede Blaabjerg |