| 2026 | ACL | Probing Audio-Visual Reasoning in Multimodal Language Models through the Lens of Audio. | Kaixiong Gong, Kaituo Feng, Bohao Li, Yibing Wang, Mofan Cheng, Shijia Yang, Jiaming Han, Benyou Wang, Yutong Bai, Zhuoran Yang, Xiangyu Yue |
| 2025 | ACL | Learning Task Representations from In-Context Learning. | Baturay Saglam, Xinyang Hu, Zhuoran Yang, Dionysis Kalogerias, Amin Karbasi |
| 2025 | AISTATS | What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. | Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang |
| 2025 | ICCV | InstaDrive: Instance-Aware Driving World Models for Realistic and Consistent Video Generation. | Zhuoran Yang, Xi Guo, Chenjing Ding, Chiyu Wang, Wei Wu, Yanyong Zhang |
| 2025 | ICLR | Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model. | Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang |
| 2025 | ICML | BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms. | Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Y. F. Tan, Zhuoran Yang |
| 2025 | ICML | An Instrumental Value for Data Production and its Application to Data Pricing. | Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Haifeng Xu |
| 2025 | ICML | In-Context Reinforcement Learning From Suboptimal Historical Data. | Juncheng Dong, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh |
| 2025 | ICML | In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention. | Jianliang He, Xintian Pan, Siyu Chen, Zhuoran Yang |
| 2025 | ICML | The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. | Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang |
| 2025 | ICML | Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization. | Junyi Liao, Zihan Zhu, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh |
| 2024 | COLT | Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract). | Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang |
| 2024 | ICLR | Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation. | Jianliang He, Han Zhong, Zhuoran Yang |
| 2024 | ICLR | Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems. | Juno Kim, Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki |
| 2024 | ICLR | Sample-Efficient Multi-Agent RL: An Optimization Perspective. | Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang |
| 2024 | ICML | Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling. | Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang |
| 2024 | ICML | From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems. | Jianliang He, Siyu Chen, Fengzhuo Zhang, Zhuoran Yang |
| 2024 | ICML | Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF. | Han Shen, Zhuoran Yang, Tianyi Chen |
| 2024 | ICML | A General Framework for Sequential Decision-Making under Adaptivity Constraints. | Nuoya Xiong, Zhaoran Wang, Zhuoran Yang |
| 2024 | ICML | Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning. | Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki |
| 2024 | ICML | How Does Goal Relabeling Improve Sample Efficiency? | Sirui Zheng, Chenjia Bai, Zhuoran Yang, Zhaoran Wang |
| 2023 | AISTATS | Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning. | Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang |
| 2023 | ICLR | Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. | Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2023 | ICLR | Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. | Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang |
| 2023 | ICLR | Can We Find Nash Equilibria at a Linear Rate in Markov Games? | Zhuoqing Song, Jason D. Lee, Zhuoran Yang |
| 2023 | ICLR | Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. | Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan |
| 2023 | ICLR | Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. | Wenhao Zhan, Jason D. Lee, Zhuoran Yang |
| 2023 | ICLR | Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics. | Sirui Zheng, Lingxiao Wang, Shuang Qiu, Zuyue Fu, Zhuoran Yang, Csaba Szepesvri, Zhaoran Wang |
| 2023 | ICML | Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. | Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu |
| 2023 | ICML | Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. | Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee |
| 2023 | ICML | Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model. | Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang |
| 2023 | ICML | Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. | Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang |
| 2022 | AISTATS | Gap-Dependent Bounds for Two-Player Markov Games. | Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du |
| 2022 | ICLR | Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. | Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang |
| 2022 | ICLR | Towards General Function Approximation in Zero-Sum Markov Games. | Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang |
| 2022 | ICLR | Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory. | Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang |
| 2022 | ICML | Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency. | Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2022 | ICML | Adaptive Model Design for Markov Decision Process. | Siyu Chen, Donglin Yang, Jiayang Li, Senmiao Wang, Zhuoran Yang, Zhaoran Wang |
| 2022 | ICML | Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. | Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang |
| 2022 | ICML | Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes. | Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang |
| 2022 | ICML | Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy. | Zhihan Liu, Miao Lu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang |
| 2022 | ICML | Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation. | Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang |
| 2022 | ICML | Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. | Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang |
| 2022 | ICML | Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. | Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang |
| 2022 | ICML | Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. | Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang |
| 2022 | SENSYS | Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances. | Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Zheng O'Neill, Zhaoran Wang, Qi Zhu |
| 2021 | AISTATS | Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. | Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic |
| 2021 | AISTATS | Sample Elicitation. | Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang |
| 2021 | AISTATS | Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case. | Yufeng Zhang, Zhuoran Yang, Zhaoran Wang |
| 2021 | ICLR | Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy. | Zuyue Fu, Zhuoran Yang, Zhaoran Wang |
| 2021 | ICML | Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach. | Yingjie Fei, Zhuoran Yang, Zhaoran Wang |
| 2021 | ICML | Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games. | Hongyi Guo, Zuyue Fu, Zhuoran Yang, Zhaoran Wang |
| 2021 | ICML | Randomized Exploration in Reinforcement Learning with General Value Function Approximation. | Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang |
| 2021 | ICML | Is Pessimism Provably Efficient for Offline RL? | Ying Jin, Zhuoran Yang, Zhaoran Wang |
| 2021 | ICML | Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport. | Lewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang |
| 2021 | ICML | Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. | Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang |
| 2021 | ICML | On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game. | Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang |
| 2021 | ICML | Reinforcement Learning for Cost-Aware Markov Decision Processes. | Wesley Suttle, Kaiqing Zhang, Zhuoran Yang, Ji Liu, David N. Kraemer |
| 2021 | ICML | Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time. | Weichen Wang, Jiequn Han, Zhuoran Yang, Zhaoran Wang |
| 2021 | ICML | Learning While Playing in Mean-Field Games: Convergence and Optimality. | Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca |
| 2021 | ICML | Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. | Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang |
| 2020 | COLT | Provably efficient reinforcement learning with linear function approximation. | Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan |
| 2020 | COLT | Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. | Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang |
| 2020 | ICLR | On Computation and Generalization of Generative Adversarial Imitation Learning. | Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao |
| 2020 | ICLR | Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. | Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang |
| 2020 | ICLR | Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. | Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2020 | ICML | Provably Efficient Exploration in Policy Optimization. | Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang |
| 2020 | ICML | Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. | Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar |
| 2020 | ICML | Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis. | Shuang Qiu, Xiaohan Wei, Zhuoran Yang |
| 2020 | ICML | On the Global Optimality of Model-Agnostic Meta-Learning. | Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2020 | ICML | Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. | Lingxiao Wang, Zhuoran Yang, Zhaoran Wang |
| 2020 | ICML | Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate. | Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2019 | ICML | On the statistical rate of nonlinear recovery in generative models with heavy-tailed data. | Xiaohan Wei, Zhuoran Yang, Zhaoran Wang |
| 2018 | AISTATS | Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding. | Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang |
| 2018 | ICML | Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. | Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar |
| 2017 | ICML | High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation. | Zhuoran Yang, Krishnakumar Balasubramanian, Han Liu |
| 2016 | ICML | Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity. | Zhuoran Yang, Zhaoran Wang, Han Liu, Yonina C. Eldar, Tong Zhang |