Yudong Chen - RankMe

153 papers A* 29A 3B 4Journal 101Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Geometric Approach to $k$k-Means Clustering. IEEE Trans. Knowl. Data Eng. Jiazhen Hong, Wei Qian, Yudong Chen, Yuqian Zhang
2025	—	`conf`	A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression. SIGMETRICS (Abstracts) Yixuan Zhang, Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie
2025	J	`jnl`	A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression. CoRR Yixuan Zhang, Dongyan Huo, Yudong Chen, Qiaomin Xie
2025	A	`conf`	Entry-Specific Matrix Estimation Under Arbitrary Sampling Patterns Through the Lens of Network Flows (Extended Abstract). ITCS Yudong Chen, Xumei Xi, Christina Lee Yu
2025	A*	`conf`	LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently. ICML Yuanhe Zhang, Fanghui Liu, Yudong Chen
2025	J	`jnl`	One-step full gradient suffices for low-rank fine-tuning, provably and efficiently. CoRR Yuanhe Zhang, Fanghui Liu, Yudong Chen
2025	J	`jnl`	Optimally Installing Strict Equilibria. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2025	J	`jnl`	Re-examining Double Descent and Scaling Laws under Norm-based Capacity via Deterministic Equivalence. CoRR Yichen Wang, Yudong Chen, Lorenzo Rosasco, Fanghui Liu
2025	A*	`conf`	Stable Offline Value Function Learning with Bisimulation-based Representations. ICML Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2025	B	`conf`	The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis. ALT Matthew Zurek, Yudong Chen
2025	A	`conf`	Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way. AISTATS Jeongyeol Kwon, Luke Dotson, Yudong Chen, Qiaomin Xie
2024	A*	`conf`	Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. AAAI Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie
2024	J	`jnl`	Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling. CoRR Xumei Xi, Christina Lee Yu, Yudong Chen
2024	J	`jnl`	Entry-Specific Matrix Estimation under Arbitrary Sampling Patterns through the Lens of Network Flows. CoRR Yudong Chen, Xumei Xi, Christina Lee Yu
2024	A*	`conf`	Gap-Free Clustering: Sensitivity and Robustness of SDP. COLT Matthew Zurek, Yudong Chen
2024	J	`jnl`	Global Optimality of the EM Algorithm for Mixtures of Two-Component Linear Regressions. IEEE Trans. Inf. Theory Jeongyeol Kwon, Wei Qian, Yudong Chen, Constantine Caramanis, Damek Davis, Nhat Ho
2024	J	`jnl`	Inception: Efficiently Computable Misinformation Attacks on Markov Games. RLJ Jeremy McMahan, Young Wu, Yudong Chen, Jerry Zhu, Qiaomin Xie
2024	J	`jnl`	Inception: Efficiently Computable Misinformation Attacks on Markov Games. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2024	A*	`conf`	Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces. ICML Brahma S. Pavse, Matthew Zurek, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2024	J	`jnl`	Local Minima Structures in Gaussian Mixture Models. IEEE Trans. Inf. Theory Yudong Chen, Dogyoon Song, Xumei Xi, Yuqian Zhang
2024	A*	`conf`	Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. ICML Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie
2024	—	`conf`	Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA. SIGMETRICS/Performance (Abstracts) Yixuan Zhang, Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie
2024	J	`jnl`	Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA. CoRR Yixuan Zhang, Dongyan Huo, Yudong Chen, Qiaomin Xie
2024	A*	`conf`	Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs. NeurIPS Matthew Zurek, Yudong Chen
2024	J	`jnl`	Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs. CoRR Matthew Zurek, Yudong Chen
2024	J	`jnl`	Stable Offline Value Function Learning with Bisimulation-based Representations. CoRR Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2024	A	`conf`	Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. AISTATS Emmanouil-Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie
2024	A*	`conf`	The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize. NeurIPS Dongyan Lucy Huo, Yixuan Zhang, Yudong Chen, Qiaomin Xie
2024	J	`jnl`	The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize. CoRR Dongyan Huo, Yixuan Zhang, Yudong Chen, Qiaomin Xie
2024	A*	`conf`	The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure. NeurIPS Tyler Sam, Yudong Chen, Christina Lee Yu
2024	J	`jnl`	The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure. CoRR Tyler Sam, Yudong Chen, Christina Lee Yu
2024	J	`jnl`	The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis. CoRR Matthew Zurek, Yudong Chen
2024	J	`jnl`	Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way. CoRR Jeongyeol Kwon, Luke Dotson, Yudong Chen, Qiaomin Xie
2024	J	`jnl`	Unichain and Aperiodicity are Sufficient for Asymptotic Optimality of Average-Reward Restless Bandits. CoRR Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang
2024	J	`jnl`	When is exponential asymptotic optimality achievable in average-reward restless bandits? CoRR Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang
2023	J	`jnl`	Algorithmic Regularization in Model-Free Overparametrized Asymmetric Matrix Factorization. SIAM J. Math. Data Sci. Liwei Jiang, Yudong Chen, Lijun Ding
2023	—	`conf`	Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. SIGMETRICS (Abstracts) Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie
2023	J	`jnl`	Clustering Without an Eigengap. CoRR Matthew Zurek, Yudong Chen
2023	J	`jnl`	Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. CoRR Dongyan Huo, Yudong Chen, Qiaomin Xie
2023	B	`conf`	Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling. ISIT Xumei Xi, Christina Lee Yu, Yudong Chen
2023	J	`jnl`	Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. Math. Oper. Res. Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure. CoRR Xumei Xi, Christina Lee Yu, Yudong Chen
2023	J	`jnl`	Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. CoRR Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2023	—	`conf`	Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. SIGMETRICS (Abstracts) Tyler Sam, Yudong Chen, Christina Lee Yu
2023	J	`jnl`	Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. Proc. ACM Meas. Anal. Comput. Syst. Tyler Sam, Yudong Chen, Christina Lee Yu
2023	J	`jnl`	Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. SIGMETRICS Perform. Evaluation Rev. Tyler Sam, Yudong Chen, Christina Lee Yu
2023	A*	`conf`	Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption. NeurIPS Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang
2023	J	`jnl`	Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption. CoRR Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang
2023	J	`jnl`	Span-Based Optimal Sample Complexity for Average Reward MDPs. CoRR Matthew Zurek, Yudong Chen
2023	J	`jnl`	Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. CoRR Emmanouil V. Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie
2023	J	`jnl`	Tackling Unbounded State Spaces in Continuing Task Reinforcement Learning. CoRR Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2023	J	`jnl`	VISER: A Tractable Solution Concept for Games with Information Asymmetry. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2022	J	`jnl`	Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization. CoRR Liwei Jiang, Yudong Chen, Lijun Ding
2022	J	`jnl`	Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. CoRR Dongyan Huo, Yudong Chen, Qiaomin Xie
2022	J	`jnl`	Hidden Integrality and Semirandom Robustness of SDP Relaxation for Sub-Gaussian Mixture Model. Math. Oper. Res. Yingjie Fei, Yudong Chen
2022	J	`jnl`	Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. CoRR Tyler Sam, Yudong Chen, Christina Lee Yu
2022	J	`jnl`	Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
2022	J	`jnl`	Structures of Spurious Local Minima in k-Means. IEEE Trans. Inf. Theory Wei Qian, Yuqian Zhang, Yudong Chen
2022	J	`jnl`	Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. IEEE Trans. Pattern Anal. Mach. Intell. Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
2021	A*	`conf`	Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. NeurIPS Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang
2021	J	`jnl`	Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. CoRR Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang
2021	J	`jnl`	Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence. Found. Comput. Math. Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy
2021	A*	`conf`	Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. NeurIPS Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
2021	J	`jnl`	Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. CoRR Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
2020	J	`jnl`	Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly. IEEE Trans. Inf. Theory Yingjie Fei, Yudong Chen
2020	A*	`conf`	Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. COLT Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
2020	J	`jnl`	Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. CoRR Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
2020	J	`jnl`	Leave-One-Out Approach for Matrix Completion: Primal and Dual Analysis. IEEE Trans. Inf. Theory Lijun Ding, Yudong Chen
2020	J	`jnl`	Likelihood Landscape and Local Minima Structures of Gaussian Mixture Models. CoRR Yudong Chen, Xumei Xi
2020	J	`jnl`	Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle. CoRR Lijun Ding, Yuqian Zhang, Yudong Chen
2020	J	`jnl`	Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond. CoRR Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
2020	A*	`conf`	Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. AAAI Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens
2020	A*	`conf`	Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. NeurIPS Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie
2020	J	`jnl`	Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. CoRR Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie
2020	J	`jnl`	Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm. IEEE Trans. Pattern Anal. Mach. Intell. Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan
2020	J	`jnl`	Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. CoRR Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
2019	A*	`conf`	Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly. COLT Yingjie Fei, Yudong Chen
2019	J	`jnl`	Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly. CoRR Yingjie Fei, Yudong Chen
2019	J	`jnl`	Clustering Degree-Corrected Stochastic Block Model with Outliers. CoRR Xin Qian, Yudong Chen, Andreea Minca
2019	A*	`conf`	Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning. ICML Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett
2019	J	`jnl`	Exponential Error Rates of SDP for Block Models: Beyond Grothendieck's Inequality. IEEE Trans. Inf. Theory Yingjie Fei, Yudong Chen
2019	A*	`conf`	Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. NeurIPS Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
2019	J	`jnl`	Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. CoRR Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
2019	A*	`conf`	Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression. COLT Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis
2019	J	`jnl`	Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. IEEE Trans. Inf. Theory Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran
2019	J	`jnl`	Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence. CoRR Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy
2019	J	`jnl`	Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. CoRR Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens
2018	A*	`conf`	Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates. ICML Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett
2018	J	`jnl`	Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates. CoRR Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett
2018	J	`jnl`	Convex Relaxation Methods for Community Detection. CoRR Xiaodong Li, Yudong Chen, Jiaming Xu
2018	J	`jnl`	Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates. IEEE Trans. Inf. Theory Yudong Chen, Xinyang Yi, Constantine Caramanis
2018	J	`jnl`	Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning. CoRR Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett
2018	—	`conf`	Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. SIGMETRICS (Abstracts) Yudong Chen, Lili Su, Jiaming Xu
2018	J	`jnl`	Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation. CoRR Yudong Chen, Yuejie Chi
2018	J	`jnl`	Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation: Recent Theory and Fast Algorithms via Convex and Nonconvex Optimization. IEEE Signal Process. Mag. Yudong Chen, Yuejie Chi
2018	J	`jnl`	Hidden Integrality of SDP Relaxation for Sub-Gaussian Mixture Models. CoRR Yingjie Fei, Yudong Chen
2018	A*	`conf`	Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models. COLT Yingjie Fei, Yudong Chen
2018	J	`jnl`	Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm. CoRR Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan
2018	J	`jnl`	The Leave-one-out Approach for Matrix Completion: Primal and Dual Analysis. CoRR Lijun Ding, Yudong Chen
2017	J	`jnl`	Clustering from General Pairwise Observations with Applications to Time-varying Graphs. J. Mach. Learn. Res. Shiau Hong Lim, Yudong Chen, Huan Xu
2017	J	`jnl`	Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. CoRR Yudong Chen, Lili Su, Jiaming Xu
2017	J	`jnl`	Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. Proc. ACM Meas. Anal. Comput. Syst. Yudong Chen, Lili Su, Jiaming Xu
2017	J	`jnl`	Exponential error rates of SDP for block models: Beyond Grothendieck's inequality. CoRR Yingjie Fei, Yudong Chen
2017	J	`jnl`	Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. CoRR Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran
2017	—	`conf`	Learning mixtures of sparse linear regressions using sparse graph codes. Allerton Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran
2017	J	`jnl`	Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. CoRR Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan
2016	—	`conf`	Fast Algorithms for Robust PCA via Gradient Descent. NIPS Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis
2016	J	`jnl`	Fast Algorithms for Robust PCA via Gradient Descent. CoRR Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis
2016	J	`jnl`	Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs. IEEE Trans. Inf. Theory Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi
2016	J	`jnl`	Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices. J. Mach. Learn. Res. Yudong Chen, Jiaming Xu
2016	A*	`conf`	Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. CVPR Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan
2015	A*	`conf`	A Convex Optimization Framework for Bi-Clustering. ICML Shiau Hong Lim, Yudong Chen, Huan Xu
2015	J	`jnl`	Completing any low-rank matrix, provably. J. Mach. Learn. Res. Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel A. Ward
2015	J	`jnl`	Convexified Modularity Maximization for Degree-corrected Stochastic Block Models. CoRR Yudong Chen, Xiaodong Li, Jiaming Xu
2015	J	`jnl`	Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees. CoRR Yudong Chen, Martin J. Wainwright
2015	J	`jnl`	Incoherence-Optimal Matrix Completion. IEEE Trans. Inf. Theory Yudong Chen
2015	J	`jnl`	Iterative and active graph clustering using trace norm minimization without cluster size constraints. J. Mach. Learn. Res. Nir Ailon, Yudong Chen, Huan Xu
2014	A*	`conf`	A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates. COLT Yudong Chen, Xinyang Yi, Constantine Caramanis
2014	—	`conf`	Clustering from Labels and Time-Varying Graphs. NIPS Shiau Hong Lim, Yudong Chen, Huan Xu
2014	J	`jnl`	Clustering partially observed graphs via convex optimization. J. Mach. Learn. Res. Yudong Chen, Ali Jalali, Sujay Sanghavi, Huan Xu
2014	A*	`conf`	Coherent Matrix Completion. ICML Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel A. Ward
2014	J	`jnl`	Improved Graph Clustering. IEEE Trans. Inf. Theory Yudong Chen, Sujay Sanghavi, Huan Xu
2014	A*	`conf`	Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting. ICML Yudong Chen, Jiaming Xu
2014	A*	`conf`	Weighted Graph Clustering with Non-Uniform Uncertainties. ICML Yudong Chen, Shiau Hong Lim, Huan Xu
2013	J	`jnl`	A Convex Formulation for Mixed Regression: Near Optimal Rates in the Face of Noise. CoRR Yudong Chen, Xinyang Yi, Constantine Caramanis
2013	J	`jnl`	Breaking the Small Cluster Barrier of Graph Clustering CoRR Nir Ailon, Yudong Chen, Huan Xu
2013	—	`conf`	Breaking the Small Cluster Barrier of Graph Clustering. ICML (3) Nir Ailon, Yudong Chen, Huan Xu
2013	J	`jnl`	Coherent Matrix Completion. CoRR Srinadh Bhojanapalli, Yudong Chen, Sujay Sanghavi, Rachel A. Ward
2013	J	`jnl`	Detecting Overlapping Temporal Community Structure in Time-Evolving Networks CoRR Yudong Chen, Vikas Kawadia, Rahul Urgaonkar
2013	J	`jnl`	Incoherence-Optimal Matrix Completion. CoRR Yudong Chen
2013	J	`jnl`	Low-Rank Matrix Recovery From Errors and Erasures. IEEE Trans. Inf. Theory Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis
2013	—	`conf`	Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery. ICML (1) Yudong Chen, Constantine Caramanis
2013	—	`conf`	Quantization errors of modulo sigma-delta modulated ARMA processes. ChinaSIP Li Li, Yudong Chen
2013	J	`jnl`	Robust High Dimensional Sparse Regression and Matching Pursuit CoRR Yudong Chen, Constantine Caramanis, Shie Mannor
2013	—	`conf`	Robust Sparse Regression under Adversarial Corruption. ICML (3) Yudong Chen, Constantine Caramanis, Shie Mannor
2013	J	`jnl`	User Association for Load Balancing in Heterogeneous Cellular Networks. IEEE Trans. Wirel. Commun. Qiaoyang Ye, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2012	—	`conf`	A Mixed-Fractal Traffic Flow Model Whose Hurst Exponent Appears Crossover. CSO Li Li, Zhiheng Li, Yi Zhang, Yudong Chen
2012	—	`conf`	Clustering Sparse Graphs. NIPS Yudong Chen, Sujay Sanghavi, Huan Xu
2012	J	`jnl`	Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results CoRR Yudong Chen, Constantine Caramanis
2012	—	`conf`	Simple algorithms for sparse linear regression with uncertain covariates. SSP Yudong Chen, Constantine Caramanis
2012	B	`conf`	Towards an optimal user association in heterogeneous cellular networks. GLOBECOM Qiaoyang Ye, Beiyu Rong, Yudong Chen, Constantine Caramanis, Jeffrey G. Andrews
2012	J	`jnl`	User Association for Load Balancing in Heterogeneous Cellular Networks CoRR Qiaoyang Ye, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews
2011	J	`jnl`	Clustering Partially Observed Graphs via Convex Optimization CoRR Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu
2011	A*	`conf`	Clustering Partially Observed Graphs via Convex Optimization. ICML Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu
2011	J	`jnl`	Low-rank Matrix Recovery from Errors and Erasures CoRR Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis
2011	B	`conf`	Low-rank matrix recovery from errors and erasures. ISIT Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis
2011	A*	`conf`	Robust Matrix Completion and Corrupted Columns. ICML Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi
2011	J	`jnl`	Robust Matrix Completion with Corrupted Columns CoRR Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi
2009	J	`jnl`	A Mixed-Fractal Model for Network Traffic CoRR Li Li, Yudong Chen, Yi Zhang
2009	J	`jnl`	PCA based Hurst exponent estimator for fBm signals under disturbances. IEEE Trans. Signal Process. Li Li, Jianming Hu, Yudong Chen, Yi Zhang
2009	J	`jnl`	Quantization Errors of Uniformly Quantized fGn and fBm Signals. IEEE Signal Process. Lett. Zhiheng Li, Yudong Chen, Li Li, Yi Zhang
2009	J	`jnl`	Quantization Errors of fGn and fBm Signals CoRR Zhiheng Li, Li Li, Yudong Chen, Yi Zhang
2006	—	`conf`	Pattern Discovering of Regional Traffic Status with Self-Organizing Maps. ITSC Yudong Chen, Yi Zhang, Jianming Hu, Danya Yao