| 2025 | AISTATS | On the Power of Multitask Representation Learning with Gradient Descent. | Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu |
| 2025 | ICLR | Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis. | Zikun Zhang, Zixiang Chen, Quanquan Gu |
| 2025 | ICML | Global Convergence and Rich Feature Learning in L-Layer Infinite-Width Neural Networks under μ Parametrization. | Zixiang Chen, Greg Yang, Qingyue Zhao, Quanquan Gu |
| 2024 | ICLR | Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. | Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu |
| 2024 | ICLR | How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? | Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Peter L. Bartlett |
| 2024 | ICML | Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. | Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu |
| 2023 | ICLR | A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning. | Zixiang Chen, Chris Junchi Li, Huizhuo Yuan, Quanquan Gu, Michael I. Jordan |
| 2023 | ICLR | How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study. | Yiwen Kou, Zixiang Chen, Yuan Cao, Quanquan Gu |
| 2023 | ICLR | Understanding Train-Validation Split in Meta-Learning with Neural Networks. | Xinzhe Zuo, Zixiang Chen, Huaxiu Yao, Yuan Cao, Quanquan Gu |
| 2023 | ICML | Benign Overfitting in Two-layer ReLU Convolutional Neural Networks. | Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu |
| 2023 | ICML | Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron. | Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade |
| 2022 | AISTATS | Self-training Converts Weak Learners to Strong Learners in Mixture Models. | Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu |
| 2022 | ALT | Faster Perturbed Stochastic Gradient Methods for Finding Local Minima. | Zixiang Chen, Dongruo Zhou, Quanquan Gu |
| 2022 | ALT | Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games. | Zixiang Chen, Dongruo Zhou, Quanquan Gu |
| 2021 | ICLR | How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? | Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu |