Wotao Yin - RankMe

286 papers A* 37A 5B 2C 2Misc 13Journal 207Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning. CoRR Haoxiang Sun, Lizhen Xu, Bing Zhao, Wotao Yin, Wei Wang, Boyu Yang, Rui Wang, Hu Wei
2026	J	`jnl`	Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization. CoRR Yicheng Lang, Changsheng Wang, Yihua Zhang, Mingyi Hong, Zheng Zhang, Wotao Yin, Sijia Liu
2025	J	`jnl`	AdapThink: Adaptive Thinking Preferences for Reasoning Language Model. CoRR Xu Wan, Wei Wang, Wenyue Xu, Wotao Yin, Jie Song, Mingyang Sun
2025	J	`jnl`	ComPO: Preference Alignment via Comparison Oracles. CoRR Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin
2025	J	`jnl`	Curvature-Aware Derivative-Free Optimization. J. Sci. Comput. Bumsu Kim, Daniel McKenzie, HanQin Cai, Wotao Yin
2025	J	`jnl`	Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery. CoRR HanQin Cai, Chandra Kundu, Jialin Liu, Wotao Yin
2025	J	`jnl`	Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward. CoRR Peter Chen, Xiaopeng Li, Ziniu Li, Wotao Yin, Xi Chen, Tianyi Lin
2025	A*	`conf`	Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs. ICML Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin
2025	—	`conf`	IVMR suite: An Industrial-scale Virtual Machine Rescheduling Dataset and Benchmark for Elastic Cloud Service. KDD (2) Yupeng Zhang, Xu Wan, Xiangyun Kong, Chao Yang, Binda Ma, Wotao Yin, Jian Zhou
2025	J	`jnl`	Implicit Models: Expressive Power Scales with Test-Time Compute. CoRR Jialin Liu, Lisang Ding, Stanley J. Osher, Wotao Yin
2025	—	`conf`	Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning. EMNLP (Findings) Zhuoyue Chen, Jihai Zhang, Ben Liu, Fangquan Lin, Wotao Yin
2025	A*	`conf`	SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs. WWW Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin
2025	J	`jnl`	SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs. CoRR Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin
2025	J	`jnl`	Unified convergence analysis for adaptive optimization with moving average estimator. Mach. Learn. Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
2024	A*	`conf`	BC-Prover: Backward Chaining Prover for Formal Theorem Proving. EMNLP Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin
2024	J	`jnl`	Bagging Improves Generalization Exponentially. CoRR Huajie Qian, Donghao Ying, Henry Lam, Wotao Yin
2024	A*	`conf`	Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares. ICML Liangzu Peng, Wotao Yin
2024	J	`jnl`	Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares. CoRR Liangzu Peng, Wotao Yin
2024	J	`jnl`	DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee. Trans. Mach. Learn. Res. Haoyu Peter Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin
2024	J	`jnl`	Decomposition Methods for Global Solution of Mixed-Integer Linear Programs. SIAM J. Optim. Kaizhao Sun, Mou Sun, Wotao Yin
2024	—	`conf`	Democratizing Energy Management with LLM-Assisted Optimization Autoformalism. SmartGridComm Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin
2024	A*	`conf`	Efficient Algorithms for Sum-Of-Minimum Optimization. ICML Lisang Ding, Ziang Chen, Xinshang Wang, Wotao Yin
2024	J	`jnl`	Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs. CoRR Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin
2024	J	`jnl`	Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation. Trans. Mach. Learn. Res. Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen
2024	J	`jnl`	Learning to optimize: A tutorial for continuous and mixed-integer optimization. CoRR Xiaohan Chen, Jialin Liu, Wotao Yin
2024	J	`jnl`	ODE-based Learning to Optimize. CoRR Zhonglin Xie, Wotao Yin, Zaiwen Wen
2024	A*	`conf`	Rethinking the Capacity of Graph Neural Networks for Branching Strategy. NeurIPS Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin
2024	J	`jnl`	Rethinking the Capacity of Graph Neural Networks for Branching Strategy. CoRR Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin
2024	A*	`conf`	Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. ICML Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2024	J	`jnl`	Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2024	J	`jnl`	S CoRR Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai
2024	J	`jnl`	S$^\text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching. IEEE J. Sel. Top. Signal Process. Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai
2024	—	`conf`	Solving General Natural-Language-Description Optimization Problems with Large Language Models. NAACL (Industry Track) Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin
2024	J	`jnl`	Solving General Natural-Language-Description Optimization Problems with Large Language Models. CoRR Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin
2024	J	`jnl`	Three-Operator Splitting for Learning to Predict Equilibria in Convex Games. SIAM J. Math. Data Sci. Daniel McKenzie, Howard Heaton, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin
2023	J	`jnl`	A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability. CoRR Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin
2023	A	`conf`	Alternating Projected SGD for Equality-constrained Bilevel Optimization. AISTATS Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen
2023	J	`jnl`	Attentional-Biased Stochastic Gradient Descent. Trans. Mach. Learn. Res. Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
2023	J	`jnl`	DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee. CoRR Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin
2023	A*	`conf`	DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. ICML Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin
2023	J	`jnl`	DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. CoRR Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin
2023	A	`conf`	HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. AISTATS Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin
2023	J	`jnl`	Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression. CoRR Yutong He, Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
2023	J	`jnl`	MindOpt Adapter for CPLEX Benchmarking Performance Analysis. CoRR Mou Sun, Tao Li, Wotao Yin
2023	J	`jnl`	MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning. CoRR Mengyuan Zhang, Wotao Yin, Mengchang Wang, Yangbin Shen, Peng Xiang, You Wu, Liang Zhao, Junqiu Pan, Hu Jiang, KuoLing Huang
2023	A*	`conf`	On Representing Linear Programs by Graph Neural Networks. ICLR Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin
2023	A*	`conf`	On Representing Mixed-Integer Linear Programs by Graph Neural Networks. ICLR Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin
2023	A*	`conf`	Safeguarded Learned Convex Optimization. AAAI Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2023	A*	`conf`	Towards Constituting Mathematical Structures for Learning to Optimize. ICML Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
2023	J	`jnl`	Towards Constituting Mathematical Structures for Learning to Optimize. CoRR Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
2022	J	`jnl`	A Mean Field Game Inverse Problem. J. Sci. Comput. Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin
2022	J	`jnl`	A Multiscale Semi-Smooth Newton Method for Optimal Transport. J. Sci. Comput. Yiyang Liu, Zaiwen Wen, Wotao Yin
2022	A	`conf`	A Single-Timescale Method for Stochastic Bilevel Optimization. AISTATS Tianyi Chen, Yuejiao Sun, Quan Xiao, Wotao Yin
2022	J	`jnl`	Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization. CoRR Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen
2022	J	`jnl`	An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. CoRR Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin
2022	A*	`conf`	Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate. NeurIPS Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
2022	J	`jnl`	Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate. CoRR Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
2022	A*	`conf`	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. NeurIPS Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin
2022	J	`jnl`	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. CoRR Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin
2022	A*	`conf`	JFB: Jacobian-Free Backpropagation for Implicit Networks. AAAI Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin
2022	J	`jnl`	Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2022	A*	`conf`	Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. NeurIPS Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
2022	J	`jnl`	Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. CoRR Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
2022	J	`jnl`	Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints. J. Sci. Comput. Jinshan Zeng, Wotao Yin, Ding-Xuan Zhou
2022	J	`jnl`	On Representing Linear Programs by Graph Neural Networks. CoRR Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin
2022	J	`jnl`	On Representing Mixed-Integer Linear Programs by Graph Neural Networks. CoRR Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin
2022	J	`jnl`	On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint. Math. Program. Haixiang Zhang, Andre Milzarek, Zaiwen Wen, Wotao Yin
2022	J	`jnl`	Scaled relative graphs: nonexpansive operators via 2D Euclidean geometry. Math. Program. Ernest K. Ryu, Robert Hannah, Wotao Yin
2022	J	`jnl`	Wasserstein-Based Projections with Applications to Inverse Problems. SIAM J. Math. Data Sci. Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
2022	J	`jnl`	Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. SIAM J. Optim. HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
2021	J	`jnl`	A Novel Convergence Analysis for Algorithms of the Adam Family. CoRR Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
2021	J	`jnl`	A Single-Timescale Stochastic Bilevel Optimization Method. CoRR Tianyi Chen, Yuejiao Sun, Wotao Yin
2021	A*	`conf`	A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. ICML HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
2021	J	`jnl`	A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. CoRR HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
2021	A*	`conf`	Accelerating Gossip SGD with Periodic Global Averaging. ICML Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
2021	J	`jnl`	Accelerating Gossip SGD with Periodic Global Averaging. CoRR Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
2021	J	`jnl`	Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures. J. Sci. Comput. Yanli Liu, Yunbei Xu, Wotao Yin
2021	A*	`conf`	An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders. NeurIPS Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin
2021	Misc	`conf`	An Optimal Stochastic Compositional Optimization Method with Applications to Meta Learning. ICASSP Yuejiao Sun, Tianyi Chen, Wotao Yin
2021	A*	`conf`	AutoBandit: A Meta Bandit Online Learning System. IJCAI Miao Xie, Wotao Yin, Huan Xu
2021	J	`jnl`	BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. CoRR Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin
2021	A	`conf`	CADA: Communication-Adaptive Distributed Adam. AISTATS Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin
2021	A*	`conf`	Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems. NeurIPS Tianyi Chen, Yuejiao Sun, Wotao Yin
2021	J	`jnl`	Communication-Adaptive Stochastic Gradient Methods for Distributed Learning. IEEE Trans. Signal Process. Tianyi Chen, Yuejiao Sun, Wotao Yin
2021	J	`jnl`	Curvature-Aware Derivative-Free Optimization. CoRR Bum-Su Kim, HanQin Cai, Daniel McKenzie, Wotao Yin
2021	A*	`conf`	DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. ICCV Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
2021	J	`jnl`	DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. CoRR Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
2021	J	`jnl`	Decentralized Learning With Lazy and Approximate Dual Gradients. IEEE Trans. Signal Process. Yanli Liu, Yuejiao Sun, Wotao Yin
2021	A*	`conf`	Exponential Graph is Provably Efficient for Decentralized Deep Training. NeurIPS Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
2021	J	`jnl`	Exponential Graph is Provably Efficient for Decentralized Deep Training. CoRR Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
2021	J	`jnl`	Feasibility-based Fixed Point Networks. CoRR Howard Heaton, Samy Wu Fung, Aviv Gibali, Wotao Yin
2021	J	`jnl`	FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data. IEEE Trans. Signal Process. Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu
2021	J	`jnl`	Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop. CoRR Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin
2021	A*	`conf`	Hyperparameter Tuning is All You Need for LISTA. NeurIPS Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2021	J	`jnl`	Hyperparameter Tuning is All You Need for LISTA. CoRR Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2021	J	`jnl`	Learn to Predict Equilibria via Fixed Point Networks. CoRR Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin
2021	A*	`conf`	Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. NeurIPS HanQin Cai, Jialin Liu, Wotao Yin
2021	J	`jnl`	Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. CoRR HanQin Cai, Jialin Liu, Wotao Yin
2021	A*	`conf`	Learning A Minimax Optimizer: A Pilot Study. ICLR Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang
2021	J	`jnl`	Learning to Optimize: A Primer and A Benchmark. CoRR Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2021	J	`jnl`	Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances. SIAM J. Sci. Comput. Jialin Liu, Wotao Yin, Wuchen Li, Yat Tin Chow
2021	J	`jnl`	On Stochastic Moving-Average Estimators for Non-Convex Optimization. CoRR Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
2021	J	`jnl`	On the Comparison between Cyclic Sampling and Random Reshuffling. CoRR Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin
2021	A*	`conf`	Provably Correct Optimization and Exploration with Non-linear Policies. ICML Fei Feng, Wotao Yin, Alekh Agarwal, Lin Yang
2021	J	`jnl`	Provably Correct Optimization and Exploration with Non-linear Policies. CoRR Fei Feng, Wotao Yin, Alekh Agarwal, Lin F. Yang
2021	J	`jnl`	Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization. IEEE Trans. Signal Process. Tianyi Chen, Yuejiao Sun, Wotao Yin
2021	J	`jnl`	Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems. CoRR Tianyi Chen, Yuejiao Sun, Wotao Yin
2020	J	`jnl`	A mean field game inverse problem. CoRR Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin
2020	A*	`conf`	An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. NeurIPS Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin
2020	A*	`conf`	An Improved Analysis of Stochastic Gradient Descent with Momentum. NeurIPS Yanli Liu, Yuan Gao, Wotao Yin
2020	A	`conf`	AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity. AISTATS Yibo Zeng, Fei Feng, Wotao Yin
2020	J	`jnl`	Attentional Biased Stochastic Gradient for Imbalanced Classification. CoRR Qi Qi, Yi Xu, Rong Jin, Wotao Yin, Tianbao Yang
2020	J	`jnl`	CADA: Communication-Adaptive Distributed Adam. CoRR Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin
2020	J	`jnl`	Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters. IEEE Trans. Signal Process. Huan Li, Cong Fang, Wotao Yin, Zhouchen Lin
2020	J	`jnl`	FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data. CoRR Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu
2020	J	`jnl`	Hybrid Federated Learning: Algorithms and Implementation. CoRR Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen
2020	J	`jnl`	LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning. CoRR Tianyi Chen, Yuejiao Sun, Wotao Yin
2020	J	`jnl`	Markov chain block coordinate descent. Comput. Optim. Appl. Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin
2020	J	`jnl`	Projecting to Manifolds via Unsupervised Learning. CoRR Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
2020	J	`jnl`	Provably Efficient Exploration for RL with Unsupervised Learning. CoRR Fei Feng, Ruosong Wang, Wotao Yin, Simon S. Du, Lin F. Yang
2020	A*	`conf`	Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning. NeurIPS Fei Feng, Ruosong Wang, Wotao Yin, Simon S. Du, Lin F. Yang
2020	J	`jnl`	Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Trans. Neural Networks Learn. Syst. Chun-Na Li, Yuan-Hai Shao, Wotao Yin, Ming-Zeng Liu
2020	J	`jnl`	SCOBO: Sparsity-Aware Comparison Oracle Based Optimization. CoRR HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
2020	J	`jnl`	Safeguarded Learned Convex Optimization. CoRR Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2020	J	`jnl`	Scaled Relative Graph of Normal Matrices. CoRR Xinmeng Huang, Ernest K. Ryu, Wotao Yin
2020	J	`jnl`	Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization. CoRR Tianyi Chen, Yuejiao Sun, Wotao Yin
2020	J	`jnl`	VAFL: a Method of Vertical Asynchronous Federated Learning. CoRR Tianyi Chen, Xiao Jin, Yuejiao Sun, Wotao Yin
2020	J	`jnl`	Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. IEEE Trans. Signal Process. Xianghui Mao, Kun Yuan, Yubin Hu, Yuantao Gu, Ali H. Sayed, Wotao Yin
2020	J	`jnl`	Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. CoRR HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
2019	J	`jnl`	A new use of Douglas-Rachford splitting for identifying infeasible, unbounded, and pathological conic programs. Math. Program. Yanli Liu, Ernest K. Ryu, Wotao Yin
2019	—	`conf`	A2BCD: Asynchronous Acceleration with Optimal Complexity. ICLR (Poster) Robert Hannah, Fei Feng, Wotao Yin
2019	—	`conf`	ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA. ICLR (Poster) Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2019	A*	`conf`	Acceleration of SVRG and Katyusha X by Inexact Preconditioning. ICML Yanli Liu, Fei Feng, Wotao Yin
2019	J	`jnl`	Algorithm for Hamilton-Jacobi Equations in Density Space Via a Generalized Hopf Formula. J. Sci. Comput. Yat Tin Chow, Wuchen Li, Stanley J. Osher, Wotao Yin
2019	J	`jnl`	Algorithm for overcoming the curse of dimensionality for state-dependent Hamilton-Jacobi equations. J. Comput. Phys. Yat Tin Chow, Jérôme Darbon, Stanley J. Osher, Wotao Yin
2019	J	`jnl`	An Envelope for Davis-Yin Splitting and Strict Saddle-Point Avoidance. J. Optim. Theory Appl. Yanli Liu, Wotao Yin
2019	J	`jnl`	Consistent Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. Omri Azencot, Wotao Yin, Andrea L. Bertozzi
2019	J	`jnl`	Denoising Prior Driven Deep Neural Network for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu
2019	J	`jnl`	Does Knowledge Transfer Always Help to Learn a Better Policy? CoRR Fei Feng, Wotao Yin, Lin F. Yang
2019	J	`jnl`	Douglas-Rachford splitting and ADMM for pathological convex optimization. Comput. Optim. Appl. Ernest K. Ryu, Yanli Liu, Wotao Yin
2019	J	`jnl`	Global Convergence of ADMM in Nonconvex Nonsmooth Optimization. J. Sci. Comput. Yu Wang, Wotao Yin, Jinshan Zeng
2019	J	`jnl`	ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs. CoRR Ernest K. Ryu, Kun Yuan, Wotao Yin
2019	Misc	`conf`	On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization. ACSSC Wei Xu, Kun Yuan, Wotao Yin, Qing Ling
2019	A*	`conf`	Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. ICML Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2019	J	`jnl`	Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. CoRR Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2019	J	`jnl`	Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning. J. Mach. Learn. Res. Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin
2019	J	`jnl`	Run-and-Inspect Method for nonconvex optimization and global optimality bounds for R-local minimizers. Math. Program. Yifan Chen, Yuejiao Sun, Wotao Yin
2019	J	`jnl`	Walk Proximal Gradient: An Energy-Efficient Algorithm for Consensus Optimization. IEEE Internet Things J. Xianghui Mao, Yuantao Gu, Wotao Yin
2019	J	`jnl`	XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training. CoRR Lei Guan, Wotao Yin, Dongsheng Li, Xicheng Lu
2018	J	`jnl`	A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. CoRR Wotao Yin, Xianghui Mao, Kun Yuan, Yuantao Gu, Ali H. Sayed
2018	J	`jnl`	A Distributed ADMM Approach With Decomposition-Coordination for Mobile Data Offloading. IEEE Trans. Veh. Technol. Yingyu Li, Guangming Shi, Wotao Yin, Lanchao Liu, Zhu Han
2018	J	`jnl`	A Fast and Accurate Basis Pursuit Denoising Algorithm With Application to Super-Resolving Tomographic SAR. IEEE Trans. Geosci. Remote. Sens. Yilei Shi, Xiao Xiang Zhu, Wotao Yin, Richard Bamler
2018	J	`jnl`	A Parallel Method for Earth Mover's Distance. J. Sci. Comput. Wuchen Li, Ernest K. Ryu, Stanley J. Osher, Wotao Yin, Wilfrid Gangbo
2018	J	`jnl`	AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Reinforcement Learning with Near-Optimal Sample Complexity. CoRR Yibo Zeng, Fei Feng, Wotao Yin
2018	A*	`conf`	Breaking the Span Assumption Yields Fast Finite-Sum Minimization. NeurIPS Robert Hannah, Yanli Liu, Daniel O'Connor, Wotao Yin
2018	J	`jnl`	Cauchy Noise Removal by Nonconvex ADMM with Convergence Guarantees. J. Sci. Comput. Jin-Jin Mei, Yiqiu Dong, Ting-Zhu Huang, Wotao Yin
2018	J	`jnl`	Decentralized Consensus Optimization With Asynchrony and Delays. IEEE Trans. Signal Inf. Process. over Networks Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed
2018	J	`jnl`	Denoising Prior Driven Deep Neural Network for Image Restoration. CoRR Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu
2018	J	`jnl`	First- and Second-Order Methods for Online Convolutional Dictionary Learning. SIAM J. Imaging Sci. Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2018	A*	`conf`	LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning. NeurIPS Tianyi Chen, Georgios B. Giannakis, Tao Sun, Wotao Yin
2018	J	`jnl`	LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning. CoRR Tianyi Chen, Georgios B. Giannakis, Tao Sun, Wotao Yin
2018	J	`jnl`	Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition. IEEE Trans. Ind. Informatics Zhaohui Du, Xuefeng Chen, Han Zhang, Ruqiang Yan, Wotao Yin
2018	J	`jnl`	Markov Chain Block Coordinate Descent. CoRR Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin
2018	A*	`conf`	On Markov Chain Gradient Descent. NeurIPS Tao Sun, Yuejiao Sun, Wotao Yin
2018	J	`jnl`	On Nonconvex Decentralized Gradient Descent. IEEE Trans. Signal Process. Jinshan Zeng, Wotao Yin
2018	J	`jnl`	On Unbounded Delays in Asynchronous Parallel Fixed-Point Algorithms. J. Sci. Comput. Robert Hannah, Wotao Yin
2018	J	`jnl`	Parallel redistancing using the Hopf-Lax formula. J. Comput. Phys. Michael Royston, Andre Pradhana, Byungjoon Lee, Yat Tin Chow, Wotao Yin, Joseph Teran, Stanley J. Osher
2018	J	`jnl`	Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning. CoRR Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin
2018	A*	`conf`	Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds. NeurIPS Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2018	J	`jnl`	Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds. CoRR Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2017	J	`jnl`	A Globally Convergent Algorithm for Nonconvex Optimization Based on Block Coordinate Update. J. Sci. Comput. Yangyang Xu, Wotao Yin
2017	J	`jnl`	A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs. CoRR Yanli Liu, Ernest K. Ryu, Wotao Yin
2017	—	`conf`	Accelerated high-resolution EEG source imaging. NER Jing Qin, Tianyu Wu, Ying Li, Wotao Yin, Stanley J. Osher, Wentai Liu
2017	J	`jnl`	Algorithm for Overcoming the Curse of Dimensionality For Time-Dependent Non-convex Hamilton-Jacobi Equations Arising From Optimal Control and Differential Games Problems. J. Sci. Comput. Yat Tin Chow, Jérôme Darbon, Stanley J. Osher, Wotao Yin
2017	—	`conf`	Asynchronous Coordinate Descent under More Realistic Assumptions. NIPS Tao Sun, Robert Hannah, Wotao Yin
2017	J	`jnl`	Cyclic Coordinate-Update Algorithms for Fixed-Point Problems: Analysis and Applications. SIAM J. Sci. Comput. Yat Tin Chow, Tianyu Wu, Wotao Yin
2017	—	`conf`	Decentralized bundle method for nonsmooth consensus optimization. GlobalSIP Zifeng Wang, Qing Ling, Wotao Yin
2017	J	`jnl`	Faster Convergence Rates of Relaxed Peaceman-Rachford and ADMM Under Regularity Assumptions. Math. Oper. Res. Damek Davis, Wotao Yin
2017	J	`jnl`	More Iterations per Second, Same Quality - Why Asynchronous Algorithms may Drastically Outperform Traditional Ones. CoRR Robert Hannah, Wotao Yin
2017	J	`jnl`	Online Convolutional Dictionary Learning. CoRR Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2017	J	`jnl`	Online Convolutional Dictionary Learning. CoRR Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2017	B	`conf`	Online convolutional dictionary learning. ICIP Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2017	J	`jnl`	Parallel Multi-Block ADMM with o(1 / k) Convergence. J. Sci. Comput. Wei Deng, Ming-Jun Lai, Zhimin Peng, Wotao Yin
2017	B	`conf`	Robust linear unmixing with enhanced sparsity. ICIP Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, Xiaoxiang Zhu
2017	J	`jnl`	Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers. CoRR Yifan Chen, Yuejiao Sun, Wotao Yin
2017	—	`conf`	Straggler Mitigation in Distributed Optimization Through Data Encoding. NIPS Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin
2017	J	`jnl`	Straggler Mitigation in Distributed Optimization Through Data Encoding. CoRR Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin
2016	J	`jnl`	ARock: An Algorithmic Framework for Asynchronous Parallel Coordinate Updates. SIAM J. Sci. Comput. Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin
2016	J	`jnl`	Coordinate Friendly Structures, Algorithms and Applications. CoRR Zhimin Peng, Tianyu Wu, Yangyang Xu, Ming Yan, Wotao Yin
2016	J	`jnl`	Decentralized Consensus Optimization with Asynchrony and Delays. CoRR Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed
2016	Misc	`conf`	Decentralized consensus optimization with asynchrony and delays. ACSSC Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed
2016	J	`jnl`	Expander Graph and Communication-Efficient Decentralized Optimization. CoRR Yat Tin Chow, Wei Shi, Tianyu Wu, Wotao Yin
2016	Misc	`conf`	Expander graph and communication-efficient decentralized optimization. ACSSC Yat Tin Chow, Wei Shi, Tianyu Wu, Wotao Yin
2016	J	`jnl`	On Nonconvex Decentralized Gradient Descent. CoRR Jinshan Zeng, Wotao Yin
2016	J	`jnl`	On Unbounded Delays in Asynchronous Parallel Fixed-Point Algorithms. CoRR Robert Hannah, Wotao Yin
2016	J	`jnl`	On the Convergence of Asynchronous Parallel Iteration with Arbitrary Delays. CoRR Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin
2016	J	`jnl`	On the Convergence of Decentralized Gradient Descent. SIAM J. Optim. Kun Yuan, Qing Ling, Wotao Yin
2016	J	`jnl`	On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers. J. Sci. Comput. Wei Deng, Wotao Yin
2016	J	`jnl`	One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations. Adv. Comput. Math. Hui Zhang, Ming Yan, Wotao Yin
2015	J	`jnl`	A Proximal Gradient Algorithm for Decentralized Composite Optimization. IEEE Trans. Signal Process. Wei Shi, Qing Ling, Gang Wu, Wotao Yin
2015	Misc	`conf`	A proximal gradient algorithm for decentralized nondifferentiable optimization. ICASSP Wei Shi, Qing Ling, Gang Wu, Wotao Yin
2015	J	`jnl`	ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates. CoRR Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin
2015	J	`jnl`	Block Stochastic Gradient Iteration for Convex and Nonconvex Optimization. SIAM J. Optim. Yangyang Xu, Wotao Yin
2015	J	`jnl`	EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization. SIAM J. Optim. Wei Shi, Qing Ling, Gang Wu, Wotao Yin
2015	J	`jnl`	ExtraPush for Convex Smooth Decentralized Optimization over Directed Networks. CoRR Jinshan Zeng, Wotao Yin
2015	J	`jnl`	Global Convergence of ADMM in Nonconvex Nonsmooth Optimization. CoRR Yu Wang, Wotao Yin, Jinshan Zeng
2015	J	`jnl`	Necessary and Sufficient Conditions of Solution Uniqueness in 1-Norm Minimization. J. Optim. Theory Appl. Hui Zhang, Wotao Yin, Lizhi Cheng
2015	J	`jnl`	NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings. IEEE Trans. Signal Process. Chinmay Hegde, Aswin C. Sankaranarayanan, Wotao Yin, Richard G. Baraniuk
2015	J	`jnl`	Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection. CoRR Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
2015	—	`conf`	Prediction of High Resolution Spatial-Temporal Air Pollutant Map from Big Data Sources. BigCom Yingyu Li, Yifang Zhu, Wotao Yin, Yang Liu, Guangming Shi, Zhu Han
2015	J	`jnl`	Sparse kernel learning-based feature selection for anomaly detection. IEEE Trans. Aerosp. Electron. Syst. Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
2014	J	`jnl`	A New Detail-Preserving Regularization Scheme. SIAM J. Imaging Sci. Weihong Guo, Jing Qin, Wotao Yin
2014	J	`jnl`	A fast patch-dictionary method for whole image recovery. CoRR Yangyang Xu, Wotao Yin
2014	J	`jnl`	Block stochastic gradient iteration for convex and nonconvex optimization. CoRR Yangyang Xu, Wotao Yin
2014	J	`jnl`	Democratic Representations. CoRR Christoph Studer, Tom Goldstein, Wotao Yin, Richard G. Baraniuk
2014	J	`jnl`	Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization. J. Sci. Comput. Rongjie Lai, Zaiwen Wen, Wotao Yin, Xianfeng Gu, Lok Ming Lui
2014	J	`jnl`	On the Linear Convergence of the ADMM in Decentralized Consensus Optimization. IEEE Trans. Signal Process. Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin
2014	J	`jnl`	Video Compressive Sensing for Dynamic MRI. CoRR Jianing Shi, Wotao Yin, Aswin C. Sankaranarayanan, Richard G. Baraniuk
2013	J	`jnl`	A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion. SIAM J. Imaging Sci. Yangyang Xu, Wotao Yin
2013	—	`conf`	A distribute parallel approach for big data scale optimal power flow with security constraints. SmartGridComm Lanchao Liu, Amin Khodaei, Wotao Yin, Zhu Han
2013	J	`jnl`	A dual algorithm for a class of augmented convex models. CoRR Hui Zhang, Lizhi Cheng, Wotao Yin
2013	J	`jnl`	A feasible method for optimization with orthogonality constraints. Math. Program. Zaiwen Wen, Wotao Yin
2013	—	`conf`	A linearized bregman algorithm for decentralized basis pursuit. EUSIPCO Kun Yuan, Qing Ling, Wotao Yin, Alejandro Ribeiro
2013	J	`jnl`	An efficient augmented Lagrangian method with applications to total variation minimization. Comput. Optim. Appl. Chengbo Li, Wotao Yin, Hong Jiang, Yin Zhang
2013	J	`jnl`	Augmented 퓁 SIAM J. Imaging Sci. Ming-Jun Lai, Wotao Yin
2013	J	`jnl`	Decentralized Jointly Sparse Optimization by Reweighted l IEEE Trans. Signal Process. Qing Ling, Zaiwen Wen, Wotao Yin
2013	J	`jnl`	Error Forgetting of Bregman Iteration. J. Sci. Comput. Wotao Yin, Stanley J. Osher
2013	J	`jnl`	Gradient methods for convex minimization: better rates under weaker conditions CoRR Hui Zhang, Wotao Yin
2013	J	`jnl`	Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed 퓁 SIAM J. Numer. Anal. Ming-Jun Lai, Yangyang Xu, Wotao Yin
2013	Misc	`conf`	Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers. ICASSP Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin
2013	Misc	`conf`	Mixing space-time derivatives for video compressive sensing. ACSSC Yi Yang, Hayden Schaeffer, Wotao Yin, Stanley J. Osher
2013	J	`jnl`	One condition for all: solution uniqueness and robustness of ℓ CoRR Hui Zhang, Ming Yan, Wotao Yin
2013	—	`conf`	Optimal sparse kernel learning for hyperspectral anomaly detection. WHISPERS Prudhvi Gurram, Heesung Kwon, Zhimin Peng, Wotao Yin
2013	Misc	`conf`	Parallel and distributed sparse optimization. ACSSC Zhimin Peng, Ming Yan, Wotao Yin
2013	J	`jnl`	Parallel matrix factorization for low-rank tensor completion. CoRR Yangyang Xu, Ruru Hao, Wotao Yin, Zhixun Su
2012	J	`jnl`	A multi-block alternating direction method with parallel splitting for decentralized consensus optimization. EURASIP J. Wirel. Commun. Netw. Qing Ling, Min Tao, Wotao Yin, Xiaoming Yuan
2012	J	`jnl`	Augmented L1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm CoRR Ming-Jun Lai, Wotao Yin
2012	J	`jnl`	Compressive Sensing Based High-Resolution Channel Estimation for OFDM System. IEEE J. Sel. Top. Signal Process. Jia (Jasmine) Meng, Wotao Yin, Yingying Li, Nam Tuan Nguyen, Zhu Han
2012	J	`jnl`	Copula density estimation by total variation penalized likelihood with linear equality constraints. Comput. Stat. Data Anal. Leming Qu, Wotao Yin
2012	Misc	`conf`	Decentralized low-rank matrix completion. ICASSP Qing Ling, Yangyang Xu, Wotao Yin, Zaiwen Wen
2012	J	`jnl`	Edge Guided Reconstruction for Compressive Imaging. SIAM J. Imaging Sci. Weihong Guo, Wotao Yin
2012	J	`jnl`	Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging. SIAM J. Imaging Sci. Yunmei Chen, William W. Hager, Feng Huang, Dzung T. Phan, Xiaojing Ye, Wotao Yin
2012	J	`jnl`	Necessary and sufficient conditions of solution uniqueness in ℓ CoRR Hui Zhang, Wotao Yin, Lizhi Cheng
2012	J	`jnl`	On the convergence of an active-set method for ℓ Optim. Methods Softw. Zaiwen Wen, Wotao Yin, Hongchao Zhang, Donald Goldfarb
2012	—	`conf`	Opportunistic sensing: Unattended acoustic sensor selection using crowdsourcing models. MLSP Po-Sen Huang, Mark Hasegawa-Johnson, Wotao Yin, Thomas S. Huang
2012	—	`conf`	Signal representations with minimum ℓ∞-norm. Allerton Conference Christoph Studer, Wotao Yin, Richard G. Baraniuk
2012	J	`jnl`	Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm. Math. Program. Comput. Zaiwen Wen, Wotao Yin, Yin Zhang
2011	J	`jnl`	An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors CoRR Yangyang Xu, Wotao Yin, Zaiwen Wen, Yin Zhang
2011	J	`jnl`	Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks. IEEE J. Sel. Areas Commun. Jia (Jasmine) Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zhu Han
2011	Misc	`conf`	Dynamic compressive spectrum sensing for cognitive radio networks. CISS Wotao Yin, Zaiwen Wen, Shuyi Li, Jia (Jasmine) Meng, Zhu Han
2011	J	`jnl`	Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising CoRR Stanley J. Osher, Yu Mao, Bin Dong, Wotao Yin
2011	—	`conf`	High Resolution OFDM Channel Estimation with Low Speed ADC Using Compressive Sensing. ICC Jia (Jasmine) Meng, Yingying Li, Nam Tuan Nguyen, Wotao Yin, Zhu Han
2011	Misc	`conf`	Oil spill sensor using multispectral infrared imaging via ℓ1 minimization. ICASSP Yingying Li, Wei-Chuan Shih, Zhu Han, Wotao Yin
2011	J	`jnl`	Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements. IEEE Trans. Signal Process. Jason N. Laska, Zaiwen Wen, Wotao Yin, Richard G. Baraniuk
2010	J	`jnl`	A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation. SIAM J. Sci. Comput. Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang
2010	J	`jnl`	A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data. IEEE J. Sel. Top. Signal Process. Junfeng Yang, Yin Zhang, Wotao Yin
2010	J	`jnl`	A Fast Hybrid Algorithm for Large-Scale J. Mach. Learn. Res. Jianing Shi, Wotao Yin, Stanley J. Osher, Paul Sajda
2010	J	`jnl`	Alternating direction augmented Lagrangian methods for semidefinite programming. Math. Program. Comput. Zaiwen Wen, Donald Goldfarb, Wotao Yin
2010	J	`jnl`	Analysis and Generalizations of the Linearized Bregman Method. SIAM J. Imaging Sci. Wotao Yin
2010	J	`jnl`	Collaborative Spectrum Sensing from Sparse Observations Using Matrix Completion for Cognitive Radio Networks CoRR Jia (Jasmine) Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zhu Han
2010	J	`jnl`	Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks CoRR Jia (Jasmine) Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zhu Han
2010	Misc	`conf`	Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks. ICASSP Jia (Jasmine) Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zhu Han
2010	C	`conf`	EdgeCS: edge guided compressive sensing reconstruction. VCIP Weihong Guo, Wotao Yin
2010	J	`jnl`	Image-based face illumination transferring using logarithmic total variation models. Vis. Comput. Qing Li, Wotao Yin, Zhigang Deng
2010	C	`conf`	Practical compressive sensing with Toeplitz and circulant matrices. VCIP Wotao Yin, Simon P. Morgan, Junfeng Yang, Yin Zhang
2010	J	`jnl`	Sparse Signal Reconstruction via Iterative Support Detection. SIAM J. Imaging Sci. Yilun Wang, Wotao Yin
2009	J	`jnl`	A Curvilinear Search Method for p-Harmonic Flows on Spheres. SIAM J. Imaging Sci. Donald Goldfarb, Zaiwen Wen, Wotao Yin
2009	J	`jnl`	A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration. SIAM J. Imaging Sci. Junfeng Yang, Wotao Yin, Yin Zhang, Yilun Wang
2009	J	`jnl`	An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise. SIAM J. Sci. Comput. Junfeng Yang, Yin Zhang, Wotao Yin
2009	J	`jnl`	Compressed Sensing via Iterative Support Detection CoRR Yilun Wang, Wotao Yin
2009	J	`jnl`	Parametric Maximum Flow Algorithms for Fast Total Variation Minimization. SIAM J. Sci. Comput. Donald Goldfarb, Wotao Yin
2008	J	`jnl`	A Matlab Implementation of a Flat Norm Motivated Polygonal Edge Matching Method using a Decomposition of Boundary into Four 1-Dimensional Currents CoRR Simon P. Morgan, Wotao Yin, Kevin R. Vixie
2008	J	`jnl`	A New Alternating Minimization Algorithm for Total Variation Image Reconstruction. SIAM J. Imaging Sci. Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang
2008	A*	`conf`	An efficient algorithm for compressed MR imaging using total variation and wavelets. CVPR Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
2008	J	`jnl`	Bregman Iterative Algorithms for \ell SIAM J. Imaging Sci. Wotao Yin, Stanley J. Osher, Donald Goldfarb, Jérôme Darbon
2008	J	`jnl`	Fixed-Point Continuation for l SIAM J. Optim. Elaine T. Hale, Wotao Yin, Yin Zhang
2008	Misc	`conf`	Iteratively reweighted algorithms for compressive sensing. ICASSP Rick Chartrand, Wotao Yin
2007	J	`jnl`	A comparison of three total variation based texture extraction models. J. Vis. Commun. Image Represent. Wotao Yin, Donald Goldfarb, Stanley J. Osher
2007	J	`jnl`	The Total Variation Regularized L Multiscale Model. Simul. Wotao Yin, Donald Goldfarb, Stanley J. Osher
2006	J	`jnl`	Total Variation Models for Variable Lighting Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Terrence Chen, Wotao Yin, Xiang Sean Zhou, Dorin Comaniciu, Thomas S. Huang
2005	—	`conf`	A New Coarse-to-Fine Framework for 3D Brain MR Image Registration. CVBIA Terrence Chen, Thomas S. Huang, Wotao Yin, Xiang Sean Zhou
2005	J	`jnl`	An Iterative Regularization Method for Total Variation-Based Image Restoration. Multiscale Model. Simul. Stanley J. Osher, Martin Burger, Donald Goldfarb, Jinjun Xu, Wotao Yin
2005	J	`jnl`	Background correction for cDNA microarray images using the TV+ Bioinform. Wotao Yin, Terrence Chen, Xiang Sean Zhou, Amit Chakraborty
2005	—	`conf`	Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models. CVPR (2) Terrence Chen, Wotao Yin, Xiang Sean Zhou, Dorin Comaniciu, Thomas S. Huang
2005	—	`conf`	Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L VLSM Wotao Yin, Donald Goldfarb, Stanley J. Osher
2005	J	`jnl`	Second-order Cone Programming Methods for Total Variation-Based Image Restoration. SIAM J. Sci. Comput. Donald Goldfarb, Wotao Yin