| 2026 | ACL | MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification. | Bo Zheng, Yudong Chen, Zihua Xiong, Shuai Fang, Peidong He, Yang Yang, Sheng Guo |
| 2026 | COLT | Optimal Variance-Dependent Regret Bounds for Infinite-Horizon MDPs. | Guy Zamir, Matthew Zurek, Yudong Chen |
| 2025 | AISTATS | Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way. | Jeongyeol Kwon, Luke Dotson, Yudong Chen, Qiaomin Xie |
| 2025 | ALT | The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis. | Matthew Zurek, Yudong Chen |
| 2025 | COLT | Span-Agnostic Optimal Sample Complexity and Oracle Inequalities for Average-Reward RL. | Matthew Zurek, Yudong Chen |
| 2025 | ICLR | Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets. | Yudong Chen, Xuwei Xu, Frank de Hoog, Jiajun Liu, Sen Wang |
| 2025 | ICLR | Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks. | Zi Wang, Divyam Anshumaan, Ashish Hooda, Yudong Chen, Somesh Jha |
| 2025 | ICML | Stable Offline Value Function Learning with Bisimulation-based Representations. | Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna |
| 2025 | ICML | RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers. | Xuwei Xu, Yang Li, Yudong Chen, Jiajun Liu, Sen Wang |
| 2025 | ICML | LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently. | Yuanhe Zhang, Fanghui Liu, Yudong Chen |
| 2025 | ICML | Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration. | Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui |
| 2025 | SIGMETRICS | A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression. | Yixuan Zhang, Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2024 | AAAI | Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. | Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2024 | AISTATS | Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. | Emmanouil-Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie |
| 2024 | COLT | Gap-Free Clustering: Sensitivity and Robustness of SDP. | Matthew Zurek, Yudong Chen |
| 2024 | ICLR | On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks. | Zi Wang, Bin Hu, Aaron J. Havens, Alexandre Araujo, Yang Zheng, Yudong Chen, Somesh Jha |
| 2024 | ICML | Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces. | Brahma S. Pavse, Matthew Zurek, Yudong Chen, Qiaomin Xie, Josiah P. Hanna |
| 2024 | ICML | Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. | Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie |
| 2024 | WACV | GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation. | Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu |
| 2024 | SIGMETRICS | Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA. | Yixuan Zhang, Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2023 | DICTA | Plug n' Play Channel Shuffle Module for Enhancing Tiny Vision Transformers. | Xuwei Xu, Sen Wang, Yudong Chen, Jiajun Liu |
| 2023 | ISIT | Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling. | Xumei Xi, Christina Lee Yu, Yudong Chen |
| 2023 | SIGMETRICS | Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. | Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2023 | SIGMETRICS | Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. | Tyler Sam, Yudong Chen, Christina Lee Yu |
| 2021 | AAAI | MetaDelta: A Meta-Learning System for Few-shot Image Classification. | Yudong Chen, Chaoyu Guan, Zhikun Wei, Xin Wang, Wenwu Zhu |
| 2021 | CIKM | Deep Self-Adaptive Hashing for Image Retrieval. | Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen |
| 2021 | KDD | Curriculum Meta-Learning for Next POI Recommendation. | Yudong Chen, Xin Wang, Miao Fan, Jizhou Huang, Shengwen Yang, Wenwu Zhu |
| 2020 | AAAI | Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. | Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens |
| 2020 | COLT | Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. | Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang |
| 2020 | TrustCom | Sensitive Information Detection based on Convolution Neural Network and Bi-directional LSTM. | Yan Lin, Guosheng Xu, Guoai Xu, Yudong Chen, Dawei Sun |
| 2019 | COLT | Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly. | Yingjie Fei, Yudong Chen |
| 2019 | COLT | Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression. | Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis |
| 2019 | ICCV | Deep Supervised Hashing With Anchor Graph. | Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong |
| 2019 | ICML | Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning. | Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett |
| 2018 | COLT | Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models. | Yingjie Fei, Yudong Chen |
| 2018 | ICML | Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates. | Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett |
| 2018 | SIGMETRICS | Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. | Yudong Chen, Lili Su, Jiaming Xu |
| 2016 | CVPR | Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. | Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan |
| 2015 | ICML | A Convex Optimization Framework for Bi-Clustering. | Shiau Hong Lim, Yudong Chen, Huan Xu |
| 2014 | COLT | A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates. | Yudong Chen, Xinyang Yi, Constantine Caramanis |
| 2014 | ICML | Coherent Matrix Completion. | Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel A. Ward |
| 2014 | ICML | Weighted Graph Clustering with Non-Uniform Uncertainties. | Yudong Chen, Shiau Hong Lim, Huan Xu |
| 2014 | ICML | Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting. | Yudong Chen, Jiaming Xu |
| 2013 | ICML | Breaking the Small Cluster Barrier of Graph Clustering. | Nir Ailon, Yudong Chen, Huan Xu |
| 2013 | ICML | Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery. | Yudong Chen, Constantine Caramanis |
| 2013 | ICML | Robust Sparse Regression under Adversarial Corruption. | Yudong Chen, Constantine Caramanis, Shie Mannor |
| 2012 | GLOBECOM | Towards an optimal user association in heterogeneous cellular networks. | Qiaoyang Ye, Beiyu Rong, Yudong Chen, Constantine Caramanis, Jeffrey G. Andrews |
| 2011 | ICML | Robust Matrix Completion and Corrupted Columns. | Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi |
| 2011 | ICML | Clustering Partially Observed Graphs via Convex Optimization. | Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu |
| 2011 | ISIT | Low-rank matrix recovery from errors and erasures. | Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis |
| 2010 | GECCO | An efficient algorithm for generalized minimum spanning tree problem. | He Jiang, Yudong Chen |
| 2006 | PACLIC | Statistical Survey of Monophthong Formants in Mandarin for Students Being Trained as Broadcasters. | Zihou Meng, Yudong Chen, Xiaohua Li |