| 2025 | ICML | Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities. | Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song |
| 2024 | ACL | An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. | Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak |
| 2023 | ICASSP | Double Compression Detection Based on the De-Blocking Filtering of HEVC Videos. | Xiangui Kang, Pengcheng Su, Zisheng Huang, Yifang Chen, Jie Wang |
| 2023 | ICML | Improved Active Multi-Task Representation Learning via Lasso. | Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Shaolei Du |
| 2022 | ICML | Active Multi-Task Representation Learning. | Yifang Chen, Kevin Jamieson, Simon S. Du |
| 2022 | ICML | First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach. | Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson |
| 2022 | ICML | Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes. | Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson |
| 2021 | ICML | Improved Corruption Robust Algorithms for Episodic Reinforcement Learning. | Yifang Chen, Simon S. Du, Kevin Jamieson |
| 2020 | HRI | Multi-Armed Bandits with Fairness Constraints for Distributing Resources to Human Teammates. | Houston Claure, Yifang Chen, Jignesh Modi, Malte F. Jung, Stefanos Nikolaidis |
| 2020 | UAI | Fair Contextual Multi-Armed Bandits: Theory and Experiments. | Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis |
| 2019 | COLT | Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information. | Peter Auer, Yifang Chen, Pratik Gajane, Chung-Wei Lee, Haipeng Luo, Ronald Ortner, Chen-Yu Wei |
| 2019 | COLT | A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free. | Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei |
| 2019 | VCIP | Depthwise Separable Convolutional Neural Network for Image Forensics. | Yifang Chen, Feng Peng, Xiangui Kang, Z. Jane Wang |
| 2018 | ICASSP | A Rotation-Invariant Convolutional Neural Network for Image Enhancement Forensics. | Yifang Chen, Zi Xian Lyu, Xiangui Kang, Z. Jane Wang |
| 2017 | ISIT | Index mapping for bit-error resilient multiple description lattice vector quantizer. | Sorina Dumitrescu, Yifang Chen, Jun Chen |