Yuejie Chi - RankMe

291 papers A* 43A 7B 7Misc 31Journal 180Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning. IEEE Trans. Signal Process. Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier
2026	J	`jnl`	Beyond Expectations: Learning with Stochastic Dominance Made Practical. Trans. Mach. Learn. Res. Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
2026	J	`jnl`	Diffusion Controller: Framework, Algorithms and Parameterization. CoRR Tong Yang, Moonkyung Ryu, Chih-Wei Hsu, Guy Tennenholtz, Yuejie Chi, Craig Boutilier, Bo Dai
2026	J	`jnl`	Feynman: Knowledge-Infused Diagramming Agent for Scalable Visual Designs. CoRR Zixin Wen, Yifu Cai, Kyle Lee, Sam Estep, Joshua Sunshine, Aarti Singh, Yuejie Chi, Wode Ni
2026	J	`jnl`	On the Learning Dynamics of RLVR at the Edge of Competence. CoRR Yu Huang, Zixin Wen, Yuejie Chi, Yuting Wei, Aarti Singh, Yingbin Liang, Yuxin Chen
2026	J	`jnl`	Polynomial Convergence of Riemannian Diffusion Models. CoRR Xingyu Xu, Ziyi Zhang, Yorie Nakahira, Guannan Qu, Yuejie Chi
2026	J	`jnl`	Preconditioning Benefits of Spectral Orthogonalization in Muon. CoRR Jianhao Ma, Yu Huang, Yuejie Chi, Yuxin Chen
2026	J	`jnl`	Sample Complexity of Average-Reward Q-Learning: From Single-agent to Federated Reinforcement Learning. CoRR Yuchen Jiao, Jiin Woo, Gen Li, Gauri Joshi, Yuejie Chi
2025	A*	`conf`	A Theoretical Analysis of Self-Supervised Learning for Vision Transformers. ICLR Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang
2025	J	`jnl`	Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games. CoRR Anupam Nayak, Tong Yang, Osman Yagan, Gauri Joshi, Yuejie Chi
2025	A*	`conf`	Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning. ICML Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman
2025	A	`conf`	Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization. AISTATS Sudeep Salgia, Nikola Pavlovic, Yuejie Chi, Qing Zhao
2025	J	`jnl`	Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization. CoRR Sudeep Salgia, Nikola Pavlovic, Yuejie Chi, Qing Zhao
2025	J	`jnl`	Communication-Efficient Federated Optimization Over Semi-Decentralized Networks. IEEE Trans. Signal Inf. Process. over Networks He Wang, Yuejie Chi
2025	J	`jnl`	Communication-Efficient Vertical Federated Learning via Compressed Error Feedback. IEEE Trans. Signal Process. Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi
2025	J	`jnl`	Convergence and Privacy of Decentralized Nonconvex Optimization With Gradient Clipping and Communication Compression. IEEE J. Sel. Top. Signal Process. Boyue Li, Yuejie Chi
2025	J	`jnl`	Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL. CoRR Tong Yang, Bo Dai, Lin Xiao, Yuejie Chi
2025	J	`jnl`	Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. SIAM J. Optim. Gen Li, Yanxi Chen, Yu Huang, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2025	A	`conf`	Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. AISTATS Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai
2025	J	`jnl`	Generalized Parallel Scaling with Interdependent Generations. CoRR Harry Dong, David Brandfonbrener, Eryk Helenowski, Yun He, Mrinal Kumar, Han Fang, Yuejie Chi, Karthik Abinav Sankararaman
2025	A*	`conf`	Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games. ICML Tong Yang, Bo Dai, Lin Xiao, Yuejie Chi
2025	J	`jnl`	Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games. CoRR Tong Yang, Bo Dai, Lin Xiao, Yuejie Chi
2025	Misc	`conf`	Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information. ICASSP Timofey Efimov, Harry Dong, Megna Shah, Jeff P. Simmons, Sean Donegan, Yuejie Chi
2025	J	`jnl`	LoRe: Personalizing LLMs via Low-Rank Reward Modeling. CoRR Avinandan Bose, Zhihan Xiong, Yuejie Chi, Simon Shaolei Du, Lin Xiao, Maryam Fazel
2025	J	`jnl`	Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent. CoRR Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi
2025	J	`jnl`	Provably Efficient and Agile Randomized Q-Learning. CoRR He Wang, Xingyu Xu, Yuejie Chi
2025	A*	`conf`	Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning. ICLR Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos
2025	J	`jnl`	Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning. CoRR Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos
2025	J	`jnl`	Scalable LLM Math Reasoning Acceleration with Low-rank Distillation. CoRR Harry Dong, Bilge Acun, Beidi Chen, Yuejie Chi
2025	A*	`conf`	ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. ICML Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen
2025	J	`jnl`	Statistical and Algorithmic Foundations of Reinforcement Learning. CoRR Yuejie Chi, Yuxin Chen, Yuting Wei
2025	J	`jnl`	The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond. J. Mach. Learn. Res. Jiin Woo, Gauri Joshi, Yuejie Chi
2025	J	`jnl`	Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization. CoRR Yu Huang, Zixin Wen, Aarti Singh, Yuejie Chi, Yuxin Chen
2025	A*	`conf`	Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. ICLR Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
2025	A*	`conf`	Vertical Federated Learning with Missing Features During Training and Inference. ICLR Pedro Valdeira, Shiqiang Wang, Yuejie Chi
2024	J	`jnl`	A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	A*	`conf`	Accelerating Convergence of Score-Based Diffusion Models, Provably. ICML Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	Accelerating Convergence of Score-Based Diffusion Models, Provably. CoRR Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	Beyond Expectations: Learning with Stochastic Dominance Made Practical. CoRR Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
2024	J	`jnl`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. Oper. Res. Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	Can We Break the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning? CoRR Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman
2024	Misc	`conf`	Communication-Efficient Federated Optimization over Semi-Decentralized Networks. ICASSP He Wang, Yuejie Chi
2024	—	`conf`	Communication-efficient Vertical Federated Learning via Compressed Error Feedback. EUSIPCO Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi
2024	J	`jnl`	Communication-efficient Vertical Federated Learning via Compressed Error Feedback. CoRR Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi
2024	—	`ed.`	Conference on Parsimony and Learning, Hongkong, China, 3-6 January 2024. CPAL Yuejie Chi, Gintare Karolina Dziugaite, Qing Qu, Atlas Wang Wang, Zhihui Zhu
2024	J	`jnl`	Counterfactual Generation with Identifiability Guarantees. CoRR Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang
2024	J	`jnl`	Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity. J. Mach. Learn. Res. Laixi Shi, Yuejie Chi
2024	J	`jnl`	Editorial Introduction to the Special Issue Seeking Low-Dimensionality in Deep Neural Networks (SLowDNN). IEEE J. Sel. Top. Signal Process. Yi Ma, Yuejie Chi, Ivan Dokmanic, Bihan Wen, John N. Wright, Zhihui Zhu
2024	A	`conf`	Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression. AISTATS Sijin Chen, Zhize Li, Yuejie Chi
2024	J	`jnl`	Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. J. Mach. Learn. Res. Shicong Cen, Yuting Wei, Yuejie Chi
2024	J	`jnl`	Faster WIND: Accelerating Iterative Best-of- CoRR Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai
2024	A*	`conf`	Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning. NeurIPS Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
2024	A*	`conf`	Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. ICML Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi
2024	J	`jnl`	Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. CoRR Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi
2024	A*	`conf`	Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. ICML Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen
2024	J	`jnl`	Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. CoRR Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen
2024	J	`jnl`	High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation. IEEE Trans. Inf. Theory Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
2024	A*	`conf`	In-Context Learning with Representations: Contextual Generalization of Trained Transformers. NeurIPS Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi
2024	J	`jnl`	In-Context Learning with Representations: Contextual Generalization of Trained Transformers. CoRR Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi
2024	J	`jnl`	Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis. Oper. Res. Gen Li, Changxiao Cai, Yuxin Chen, Yuting Wei, Yuejie Chi
2024	A*	`conf`	Learning Discrete Concepts in Latent Hierarchical Models. NeurIPS Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang
2024	J	`jnl`	Learning Discrete Concepts in Latent Hierarchical Models. CoRR Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang
2024	J	`jnl`	Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information. CoRR Timofey Efimov, Harry Dong, Megna Shah, Jeff P. Simmons, Sean Donegan, Yuejie Chi
2024	J	`jnl`	Prompt-prompted Mixture of Experts for Efficient LLM Generation. CoRR Harry Dong, Beidi Chen, Yuejie Chi
2024	A*	`conf`	Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction. NeurIPS Xingyu Xu, Yuejie Chi
2024	J	`jnl`	Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction. CoRR Xingyu Xu, Yuejie Chi
2024	J	`jnl`	Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes. RLJ He Wang, Laixi Shi, Yuejie Chi
2024	J	`jnl`	Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes. CoRR He Wang, Laixi Shi, Yuejie Chi
2024	A*	`conf`	Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. ICML Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman
2024	J	`jnl`	Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. CoRR Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman
2024	B	`conf`	Scalable Dynamic Resource Allocation via Domain Randomized Reinforcement Learning. GLOBECOM Yiqi Wang, Laixi Shi, Martin Hyungwoo Lee, Jaroslaw Sydir, Zhu Zhou, Yuejie Chi, Bin Li
2024	J	`jnl`	ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. CoRR Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen
2024	A*	`conf`	The Sample-Communication Complexity Trade-off in Federated Q-Learning. NeurIPS Sudeep Salgia, Yuejie Chi
2024	J	`jnl`	The Sample-Communication Complexity Trade-off in Federated Q-Learning. CoRR Sudeep Salgia, Yuejie Chi
2024	A*	`conf`	Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models. ICLR Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2024	J	`jnl`	Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling. CoRR Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang
2024	J	`jnl`	Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. CoRR Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
2024	J	`jnl`	Vertical Federated Learning with Missing Features During Training and Inference. CoRR Pedro Valdeira, Shiqiang Wang, Yuejie Chi
2023	J	`jnl`	A Lightweight Transformer for Faster and Robust EBSD Data Collection. CoRR Harry Dong, Sean Donegan, Megna Shah, Yuejie Chi
2023	J	`jnl`	A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning. CoRR Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier
2023	A	`conf`	A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning. UAI Yiqi Wang, Mengdi Xu, Laixi Shi, Yuejie Chi
2023	A*	`conf`	Asynchronous Gradient Play in Zero-Sum Multi-agent Games. ICLR Ruicheng Ao, Shicong Cen, Yuejie Chi
2023	J	`jnl`	Communication-Efficient Federated Optimization over Semi-Decentralized Networks. CoRR He Wang, Yuejie Chi
2023	J	`jnl`	Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression. CoRR Boyue Li, Yuejie Chi
2023	A*	`conf`	Counterfactual Generation with Identifiability Guarantees. NeurIPS Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang
2023	Misc	`conf`	Deep Unfolded Tensor Robust PCA With Self-Supervised Learning. ICASSP Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi
2023	J	`jnl`	Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression. CoRR Sijin Chen, Zhize Li, Yuejie Chi
2023	J	`jnl`	Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. CoRR Gen Li, Yanxi Chen, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2023	A*	`conf`	Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. ICLR Shicong Cen, Yuejie Chi, Simon Shaolei Du, Lin Xiao
2023	J	`jnl`	Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. CoRR Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
2023	J	`jnl`	Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control. CoRR Shicong Cen, Yuejie Chi
2023	A*	`conf`	Identification of Nonlinear Latent Hierarchical Models. NeurIPS Lingjing Kong, Biwei Huang, Feng Xie, Eric P. Xing, Yuejie Chi, Kun Zhang
2023	J	`jnl`	Identification of Nonlinear Latent Hierarchical Models. CoRR Lingjing Kong, Biwei Huang, Feng Xie, Eric P. Xing, Yuejie Chi, Kun Zhang
2023	J	`jnl`	Local Geometry of Nonconvex Spike Deconvolution From Low-Pass Measurements. IEEE J. Sel. Areas Inf. Theory Maxime Ferreira Da Costa, Yuejie Chi
2023	—	`conf`	Offline Reinforcement Learning with On-Policy Q-Function Regularization. ECML/PKDD (4) Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
2023	J	`jnl`	Offline Reinforcement Learning with On-Policy Q-Function Regularization. CoRR Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
2023	J	`jnl`	Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. SIAM J. Optim. Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
2023	J	`jnl`	Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization. CoRR Cong Ma, Xingyu Xu, Tian Tong, Yuejie Chi
2023	A*	`conf`	Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. NeurIPS Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen
2023	J	`jnl`	Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. CoRR Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen
2023	A*	`conf`	Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. NeurIPS Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
2023	J	`jnl`	Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. CoRR Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
2023	J	`jnl`	Sharp high-probability sample complexities for policy evaluation with linear function approximation. CoRR Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
2023	J	`jnl`	Softmax policy gradient methods can take exponential time to converge. Math. Program. Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2023	A*	`conf`	The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond. ICML Jiin Woo, Gauri Joshi, Yuejie Chi
2023	J	`jnl`	The Blessing of Heterogeneity in Federated Q-learning: Linear Speedup and Beyond. CoRR Jiin Woo, Gauri Joshi, Yuejie Chi
2023	A*	`conf`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	J	`jnl`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	A*	`conf`	The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing. ICML Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma
2023	J	`jnl`	The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing. CoRR Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma
2023	J	`jnl`	Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models. CoRR Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2023	A*	`conf`	Understanding Masked Autoencoders via Hierarchical Latent Variable Models. CVPR Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang
2023	J	`jnl`	Understanding Masked Autoencoders via Hierarchical Latent Variable Models. CoRR Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang
2022	Misc	`conf`	Accelerating ILL-Conditioned Robust Low-Rank Tensor Regression. ICASSP Tian Tong, Cong Ma, Yuejie Chi
2022	A*	`conf`	Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. ICDM Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong
2022	J	`jnl`	Asynchronous Gradient Play in Zero-Sum Multi-agent Games. CoRR Ruicheng Ao, Shicong Cen, Yuejie Chi
2022	A*	`conf`	BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression. NeurIPS Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik, Yuejie Chi
2022	J	`jnl`	BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression. CoRR Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik, Yuejie Chi
2022	A*	`conf`	Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. AAAI Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying
2022	J	`jnl`	DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization. SIAM J. Math. Data Sci. Boyue Li, Zhize Li, Yuejie Chi
2022	J	`jnl`	Deep Unfolded Tensor Robust PCA with Self-supervised Learning. CoRR Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi
2022	J	`jnl`	Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity. CoRR Laixi Shi, Yuejie Chi
2022	J	`jnl`	Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. Oper. Res. Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
2022	J	`jnl`	Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent. CoRR Harry Dong, Tian Tong, Cong Ma, Yuejie Chi
2022	J	`jnl`	Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. CoRR Shicong Cen, Yuejie Chi, Simon S. Du, Lin Xiao
2022	—	`conf`	Harvesting Curvatures for Communication-Efficient Distributed Optimization. IEEECONF Diogo Cardoso, Boyue Li, Yuejie Chi, João Xavier
2022	—	`conf`	Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization. CDC Shicong Cen, Fan Chen, Yuejie Chi
2022	J	`jnl`	Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization. CoRR Shicong Cen, Fan Chen, Yuejie Chi
2022	J	`jnl`	Local Geometry of Nonconvex Spike Deconvolution from Low-Pass Measurements. CoRR Maxime Ferreira Da Costa, Yuejie Chi
2022	A*	`conf`	Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model. NeurIPS Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
2022	J	`jnl`	Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model. CoRR Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
2022	A*	`conf`	Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. ICML Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	J	`jnl`	Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	Misc	`conf`	Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired By Graph Regularization. ICASSP Harlin Lee, Andrea L. Bertozzi, Jelena Kovacevic, Yuejie Chi
2022	—	`ed.`	Proceedings of the Fifth Conference on Machine Learning and Systems, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022 MLSys Diana Marculescu, Yuejie Chi, Carole-Jean Wu
2022	J	`jnl`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. IEEE Trans. Inf. Theory Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2022	A	`conf`	Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion. AISTATS Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi
2022	J	`jnl`	Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. J. Mach. Learn. Res. Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi
2022	J	`jnl`	Settling the Sample Complexity of Model-Based Offline Reinforcement Learning. CoRR Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei
2022	A*	`conf`	SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression. NeurIPS Zhize Li, Haoyu Zhao, Boyue Li, Yuejie Chi
2022	J	`jnl`	SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression. CoRR Zhize Li, Haoyu Zhao, Boyue Li, Yuejie Chi
2021	J	`jnl`	Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent. J. Mach. Learn. Res. Tian Tong, Cong Ma, Yuejie Chi
2021	J	`jnl`	Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing. CoRR Cong Ma, Yuanxin Li, Yuejie Chi
2021	J	`jnl`	Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing. IEEE Trans. Signal Process. Cong Ma, Yuanxin Li, Yuejie Chi
2021	A*	`conf`	Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. NeurIPS Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
2021	J	`jnl`	Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. CoRR Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
2021	J	`jnl`	Compressed Super-Resolution of Positive Sources. IEEE Signal Process. Lett. Maxime Ferreira Da Costa, Yuejie Chi
2021	J	`jnl`	DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization. CoRR Boyue Li, Zhize Li, Yuejie Chi
2021	A*	`conf`	Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. NeurIPS Shicong Cen, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. CoRR Shicong Cen, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number. IEEE Trans. Signal Process. Tian Tong, Cong Ma, Yuejie Chi
2021	J	`jnl`	Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. IEEE Trans. Inf. Theory Laixi Shi, Yuejie Chi
2021	J	`jnl`	Nonconvex Matrix Factorization From Rank-One Measurements. IEEE Trans. Inf. Theory Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
2021	B	`conf`	Plug-And-Play Image Reconstruction Meets Stochastic Variance-Reduced Gradient Methods. ICIP Vincent Monardo, Abhiram Iyer, Sean Donegan, Marc De Graef, Yuejie Chi
2021	J	`jnl`	Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. CoRR Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
2021	A*	`conf`	Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. NeurIPS Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
2021	J	`jnl`	Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. CoRR Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
2021	J	`jnl`	Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. CoRR Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi
2021	A*	`conf`	Softmax Policy Gradient Methods Can Take Exponential Time to Converge. COLT Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	Softmax Policy Gradient Methods Can Take Exponential Time to Converge. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	Spectral Methods for Data Science: A Statistical Perspective. Found. Trends Mach. Learn. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2021	A*	`conf`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. ICML Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. CoRR Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2020	J	`jnl`	Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent. CoRR Tian Tong, Cong Ma, Yuejie Chi
2020	J	`jnl`	Analytical convergence regions of accelerated gradient descent in nonconvex optimization under Regularity Condition. Autom. Huaqing Xiong, Yuejie Chi, Bin Hu, Wei Zhang
2020	A*	`conf`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. NeurIPS Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	A	`conf`	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. AISTATS Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
2020	J	`jnl`	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. J. Mach. Learn. Res. Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
2020	J	`jnl`	Compressed Super-Resolution of Positive Sources. CoRR Maxime Ferreira Da Costa, Yuejie Chi
2020	J	`jnl`	Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data. IEEE Trans. Signal Process. Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu
2020	Misc	`conf`	Data Quality-Informed Multiple Occupant Localization using Floor Vibration Sensing. HotMobile Laixi Shi, Yue Zhang, Shijia Pan, Yuejie Chi
2020	J	`jnl`	Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. CoRR Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
2020	J	`jnl`	Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy. IEEE Trans. Signal Process. Haoyu Fu, Yuejie Chi, Yingbin Liang
2020	J	`jnl`	Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution. IEEE Signal Process. Mag. Yuejie Chi, Maxime Ferreira Da Costa
2020	J	`jnl`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution. Found. Comput. Math. Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2020	J	`jnl`	Learning Latent Features With Pairwise Penalties in Low-Rank Matrix Completion. IEEE Trans. Signal Process. Kaiyi Ji, Jian Tan, Jinfeng Xu, Yuejie Chi
2020	—	`conf`	Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion. SAM Kaiyi Ji, Jian Tan, Jinfeng Xu, Yuejie Chi
2020	J	`jnl`	Low-Rank Matrix Recovery with Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number. CoRR Tian Tong, Cong Ma, Yuejie Chi
2020	Misc	`conf`	Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. ICASSP Laixi Shi, Yuejie Chi
2020	J	`jnl`	Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. SIAM J. Optim. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
2020	J	`jnl`	On the Stable Resolution Limit of Total Variation Regularization for Spike Deconvolution. IEEE Trans. Inf. Theory Maxime Ferreira Da Costa, Yuejie Chi
2020	A*	`conf`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. NeurIPS Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Spectral Methods for Data Science: A Statistical Perspective. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2020	Misc	`conf`	Support Stability of Spike Deconvolution via Total Variation Minimization. CISS Maxime Ferreira Da Costa, Yuejie Chi
2020	J	`jnl`	Vector-Valued Graph Trend Filtering With Non-Convex Penalties. IEEE Trans. Signal Inf. Process. over Networks Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi
2019	Misc	`conf`	Beyond Procrustes: Balancing-free Gradient Descent for Asymmetric Low-Rank Matrix Sensing. ACSSC Cong Ma, Yuanxin Li, Yuejie Chi
2019	J	`jnl`	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking. CoRR Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
2019	J	`jnl`	Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data. CoRR Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu
2019	—	`conf`	Device-free Multiple People Localization through Floor Vibration. DFHS@BuildSys Laixi Shi, Mostafa Mirshekari, Jonathon Fagert, Yuejie Chi, Hae Young Noh, Pei Zhang, Shijia Pan
2019	J	`jnl`	Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval. Math. Program. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2019	J	`jnl`	Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution. CoRR Yuejie Chi, Maxime Ferreira Da Costa
2019	Misc	`conf`	Improving Graph Trend Filtering with Non-convex Penalties. ICASSP Rohan Varma, Harlin Lee, Yuejie Chi, Jelena Kovacevic
2019	B	`conf`	Local Geometry of Cross Entropy Loss in Learning One-Hidden-Layer Neural Networks. ISIT Haoyu Fu, Yuejie Chi, Yingbin Liang
2019	J	`jnl`	Low-Rank Structured Covariance Matrix Estimation. IEEE Signal Process. Lett. Azer P. Shikhaliev, Lee C. Potter, Yuejie Chi
2019	J	`jnl`	Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. CoRR Laixi Shi, Yuejie Chi
2019	J	`jnl`	Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
2019	A	`conf`	Nonconvex Matrix Factorization from Rank-One Measurements. AISTATS Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
2019	J	`jnl`	Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview. IEEE Trans. Signal Process. Yuejie Chi, Yue M. Lu, Yuxin Chen
2019	Misc	`conf`	On the Sensitivity of Spectral Initialization for Noisy Phase Retrieval. ICASSP Vincent Monardo, Yuejie Chi
2019	J	`jnl`	On the Stable Resolution Limit of Total Variation Regularization for Spike Deconvolution. CoRR Maxime Ferreira Da Costa, Yuejie Chi
2019	Misc	`conf`	Self-Calibrated Super Resolution. ACSSC Maxime Ferreira Da Costa, Yuejie Chi
2019	Misc	`conf`	Shift-invariant Subspace Tracking with Missing Data. ICASSP Myung Cho, Yuejie Chi
2019	Misc	`conf`	Solving Quadratic Equations via Amplitude-based Nonconvex Optimization. ICASSP Vincent Monardo, Yuanxin Li, Yuejie Chi
2019	J	`jnl`	Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁 CoRR Changxiao Cai, Gen Li, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2019	J	`jnl`	Vector-Valued Graph Trend Filtering with Non-Convex Penalties. CoRR Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi
2018	—	`conf`	A Non-Convex Approach To Joint Sensor Calibration And Spectrum Estimation. SSP Myung Cho, Wenjing Liao, Yuejie Chi
2018	J	`jnl`	Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
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	A*	`conf`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion. ICML Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2018	J	`jnl`	Learning Latent Features with Pairwise Penalties in Matrix Completion. CoRR Kaiyi Ji, Jian Tan, Yuejie Chi, Jinfeng Xu
2018	J	`jnl`	Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression. CoRR Haoyu Fu, Yuejie Chi, Yingbin Liang
2018	J	`jnl`	Low-Rank Matrix Completion [Lecture Notes]. IEEE Signal Process. Mag. Yuejie Chi
2018	J	`jnl`	Median-Truncated Nonconvex Approach for Phase Retrieval With Outliers. IEEE Trans. Inf. Theory Huishuai Zhang, Yuejie Chi, Yingbin Liang
2018	J	`jnl`	Nonconvex Matrix Factorization from Rank-One Measurements. CoRR Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
2018	J	`jnl`	Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview. CoRR Yuejie Chi, Yue M. Lu, Yuxin Chen
2018	J	`jnl`	Quantized Spectral Compressed Sensing: Cramer-Rao Bounds and Recovery Algorithms. IEEE Trans. Signal Process. Haoyu Fu, Yuejie Chi
2018	J	`jnl`	Rethinking PCA for Modern Data Sets: Theory, Algorithms, and Applications. Proc. IEEE Namrata Vaswani, Yuejie Chi, Thierry Bouwmans
2018	J	`jnl`	Stochastic Approximation and Memory-Limited Subspace Tracking for Poisson Streaming Data. IEEE Trans. Signal Process. Liming Wang, Yuejie Chi
2018	J	`jnl`	Streaming PCA and Subspace Tracking: The Missing Data Case. CoRR Laura Balzano, Yuejie Chi, Yue M. Lu
2018	J	`jnl`	Streaming PCA and Subspace Tracking: The Missing Data Case. Proc. IEEE Laura Balzano, Yuejie Chi, Yue M. Lu
2018	Misc	`conf`	Terahertz Imaging of Binary Reflectance with Variational Bayesian Inference. ICASSP Pu Wang, Toshiaki Koike-Akino, Philip V. Orlik, Haoyu Fu, Yuejie Chi
2017	J	`jnl`	A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms. J. Mach. Learn. Res. Huishuai Zhang, Yingbin Liang, Yuejie Chi
2017	Misc	`conf`	Compressive spectrum estimation using quantized measurements. ACSSC Haoyu Fu, Yuejie Chi
2017	J	`jnl`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion and Blind Deconvolution. CoRR Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2017	J	`jnl`	Low-Rank Positive Semidefinite Matrix Recovery From Corrupted Rank-One Measurements. IEEE Trans. Signal Process. Yuanxin Li, Yue Sun, Yuejie Chi
2017	—	`conf`	Memory-Limited stochastic approximation for poisson subspace tracking. CAMSAP Liming Wang, Yuejie Chi
2017	J	`jnl`	Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent. CoRR Yuanxin Li, Yuejie Chi, Huishuai Zhang, Yingbin Liang
2017	J	`jnl`	Quantized Spectral Compressed Sensing: Cramer-Rao Bounds and Recovery Algorithms. CoRR Haoyu Fu, Yuejie Chi
2017	J	`jnl`	Subspace Learning From Bits. IEEE Trans. Signal Process. Yuejie Chi, Haoyu Fu
2017	J	`jnl`	Super-Resolution Image Reconstruction for High-Density Three-Dimensional Single-Molecule Microscopy. IEEE Trans. Computational Imaging Jiaqing Huang, Mingzhai Sun, Jianjie Ma, Yuejie Chi
2016	J	`jnl`	Blind Deconvolution From Multiple Sparse Inputs. IEEE Signal Process. Lett. Liming Wang, Yuejie Chi
2016	J	`jnl`	Guaranteed Blind Sparse Spikes Deconvolution via Lifting and Convex Optimization. IEEE J. Sel. Top. Signal Process. Yuejie Chi
2016	J	`jnl`	Kaczmarz Method for Solving Quadratic Equations. IEEE Signal Process. Lett. Yuejie Chi, Yue M. Lu
2016	—	`conf`	Kronecker covariance sketching for spatial-temporal data. EUSIPCO Yuejie Chi
2016	J	`jnl`	Low-Rank Positive Semidefinite Matrix Recovery from Quadratic Measurements with Outliers. CoRR Yuanxin Li, Yue Sun, Yuejie Chi
2016	J	`jnl`	Off-the-Grid Line Spectrum Denoising and Estimation With Multiple Measurement Vectors. IEEE Trans. Signal Process. Yuanxin Li, Yuejie Chi
2016	Misc	`conf`	Outlier-robust recovery of low-rank positive semidefinite matrices from magnitude measurements. ICASSP Yue Sun, Yuanxin Li, Yuejie Chi
2016	Misc	`conf`	Principal subspace estimation for low-rank Toeplitz covariance matrices with binary sensing. ACSSC Haoyu Fu, Yuejie Chi
2016	A*	`conf`	Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow. ICML Huishuai Zhang, Yuejie Chi, Yingbin Liang
2016	Misc	`conf`	Robust blind spikes deconvolution. ICASSP Yuejie Chi
2016	—	`conf`	Super-resolution image reconstruction for high-density 3D single-molecule microscopy. ISBI Jiaqing Huang, Mingzhai Sun, Yuejie Chi
2015	—	`conf`	Blind calibration of multi-channel samplers using sparse recovery. CAMSAP Yuanxin Li, Yingsheng He, Yuejie Chi, Yue M. Lu
2015	Misc	`conf`	Blind super-resolution of sparse spike signals. ACSSC Yuejie Chi
2015	Misc	`conf`	Change-point estimation of high-dimensional streaming data via sketching. ACSSC Yuejie Chi, Yihong Wu
2015	J	`jnl`	Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization. IEEE Trans. Signal Process. Yuejie Chi, Yuxin Chen
2015	Misc	`conf`	Compressive graph clustering from random sketches. ICASSP Yuejie Chi
2015	Misc	`conf`	Covariance tracking from sketches of rapid data streams. ICASSP Yiran Jiang, Yuejie Chi
2015	J	`jnl`	Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming. IEEE Trans. Inf. Theory Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith
2015	J	`jnl`	Guaranteed Blind Sparse Spikes Deconvolution via Lifting and Convex Optimization. CoRR Yuejie Chi
2015	J	`jnl`	Orthogonal Matching Pursuit on Faulty Circuits. IEEE Trans. Commun. Yao Li, Yuejie Chi, Chu-Hsiang Huang, Lara Dolecek
2015	J	`jnl`	Stable Separation and Super-Resolution of Mixture Models. CoRR Yuanxin Li, Yuejie Chi
2015	J	`jnl`	Super-Resolution of Mutually Interfering Signals. CoRR Yuanxin Li, Yuejie Chi
2015	B	`conf`	Super-resolution of mutually interfering signals. ISIT Yuanxin Li, Yuejie Chi
2014	J	`jnl`	Classification and Boosting with Multiple Collaborative Representations. IEEE Trans. Pattern Anal. Mach. Intell. Yuejie Chi, Fatih Porikli
2014	—	`conf`	Compressive parameter estimation with multiple measurement vectors via structured low-rank covariance estimation. SSP Yuanxin Li, Yuejie Chi
2014	Misc	`conf`	Estimation of simultaneously structured covariance matrices from quadratic measurements. ICASSP Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith
2014	Misc	`conf`	Joint sparsity recovery for spectral compressed sensing. ICASSP Yuejie Chi
2014	J	`jnl`	Off-the-Grid Line Spectrum Denoising and Estimation with Multiple Measurement Vectors. CoRR Yuanxin Li, Yuejie Chi
2014	—	`conf`	One-bit principal subspace estimation. GlobalSIP Yuejie Chi
2014	J	`jnl`	Robust Spectral Compressed Sensing via Structured Matrix Completion. IEEE Trans. Inf. Theory Yuxin Chen, Yuejie Chi
2014	B	`conf`	Robust and universal covariance estimation from quadratic measurements via convex programming. ISIT Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith
2014	J	`jnl`	Subspace Learning From Bits. CoRR Yuejie Chi
2013	Misc	`conf`	Analysis of fisher information and the Cramer-Rao bound for nonlinear parameter estimation after compressed sensing. ICASSP Pooria Pakrooh, Louis L. Scharf, Ali Pezeshki, Yuejie Chi
2013	J	`jnl`	Compressive Demodulation of Mutually Interfering Signals CoRR Yuejie Chi, Yao Xie, A. Robert Calderbank
2013	Misc	`conf`	Compressive recovery of 2-D off-grid frequencies. ACSSC Yuejie Chi, Yuxin Chen
2013	J	`jnl`	Exact and Stable Covariance Estimation from Quadratic Sampling via Convex Programming. CoRR Yuxin Chen, Yuejie Chi, Andrea Goldsmith
2013	J	`jnl`	Joint Sparsity Recovery for Spectral Compressed Sensing. CoRR Yuejie Chi
2013	Misc	`conf`	Knowledge-enhanced Matching Pursuit. ICASSP Yuejie Chi, A. Robert Calderbank
2013	—	`conf`	Low-rank matrix recovery with poison noise. GlobalSIP Yao Xie, Yuejie Chi, A. Robert Calderbank
2013	Misc	`conf`	Nearest subspace classification with missing data. ACSSC Yuejie Chi
2013	J	`jnl`	PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares From Partial Observations. IEEE Trans. Signal Process. Yuejie Chi, Yonina C. Eldar, A. Robert Calderbank
2013	J	`jnl`	Robust Spectral Compressed Sensing via Structured Matrix Completion CoRR Yuxin Chen, Yuejie Chi
2013	—	`conf`	Sparse MIMO radar via structured matrix completion. GlobalSIP Yuejie Chi
2013	J	`jnl`	Spectral Compressed Sensing via Structured Matrix Completion CoRR Yuxin Chen, Yuejie Chi
2013	—	`conf`	Spectral Compressed Sensing via Structured Matrix Completion. ICML (3) Yuxin Chen, Yuejie Chi
2012	—	`conf`	Coherence-based performance guarantees of Orthogonal Matching Pursuit. Allerton Conference Yuejie Chi, A. Robert Calderbank
2012	—	`conf`	Compressive demodulation of mutually interfering signals. SSP Yao Xie, Yuejie Chi, Lorne Applebaum, A. Robert Calderbank
2012	A*	`conf`	Connecting the dots in multi-class classification: From nearest subspace to collaborative representation. CVPR Yuejie Chi, Fatih Porikli
2012	J	`jnl`	PETRELS: Parallel Estimation and Tracking of Subspace by Recursive Least Squares from Partial Observations CoRR Yuejie Chi, Yonina C. Eldar, A. Robert Calderbank
2012	Misc	`conf`	PETRELS: Subspace estimation and tracking from partial observations. ICASSP Yuejie Chi, Yonina C. Eldar, A. Robert Calderbank
2011	—	`conf`	Diagnostic grade wireless ECG monitoring. EMBC Harinath Garudadri, Yuejie Chi, Steve Baker, Somdeb Majumdar, Pawan K. Baheti, Dan Ballard
2011	—	`conf`	MMSE-optimal training sequences for spectrally-efficient Multi-User MIMO-OFDM systems. EUSIPCO Yuejie Chi, Ahmad Gomaa, Naofal Al-Dhahir, A. Robert Calderbank
2011	—	`conf`	On Training Signal Design for Multi-User MIMO-OFDM: Performance Analysis and Tradeoffs. VTC Fall Ahmad Gomaa, Yuejie Chi, Naofal Al-Dhahir, A. Robert Calderbank
2011	J	`jnl`	Sensitivity to Basis Mismatch in Compressed Sensing. IEEE Trans. Signal Process. Yuejie Chi, Louis L. Scharf, Ali Pezeshki, A. Robert Calderbank
2011	J	`jnl`	Training Signal Design and Tradeoffs for Spectrally-Efficient Multi-User MIMO-OFDM Systems. IEEE Trans. Wirel. Commun. Yuejie Chi, Ahmad Gomaa, Naofal Al-Dhahir, A. Robert Calderbank
2010	B	`conf`	Compressive blind source separation. ICIP Yiyue Wu, Yuejie Chi, A. Robert Calderbank
2010	B	`conf`	Regularized blind detection for MIMO communications. ISIT Yuejie Chi, Yiyue Wu, A. Robert Calderbank
2010	Misc	`conf`	Sensitivity to basis mismatch in compressed sensing. ICASSP Yuejie Chi, Ali Pezeshki, Louis L. Scharf, A. Robert Calderbank