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2020 – today
- 2025
[i99]HanQin Cai, Chandra Kundu, Jialin Liu, Wotao Yin:
Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery. CoRR abs/2501.00677 (2025)- 2024
- [j97]Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai:
S$^\text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching. IEEE J. Sel. Top. Signal Process. 18(6): 985-996 (2024) - [j96]Kaizhao Sun
, Mou Sun, Wotao Yin:
Decomposition Methods for Global Solution of Mixed-Integer Linear Programs. SIAM J. Optim. 34(2): 1206-1235 (2024) - [j95]Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen:
Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation. Trans. Mach. Learn. Res. 2024 (2024) - [c75]Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin:
BC-Prover: Backward Chaining Prover for Formal Theorem Proving. EMNLP 2024: 3059-3077 - [c74]Lisang Ding, Ziang Chen, Xinshang Wang, Wotao Yin:
Efficient Algorithms for Sum-Of-Minimum Optimization. ICML 2024 - [c73]Liangzu Peng, Wotao Yin:
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares. ICML 2024 - [c72]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:
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. ICML 2024 - [c71]Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin:
Solving General Natural-Language-Description Optimization Problems with Large Language Models. NAACL (Industry Track) 2024: 483-490 - [c70]Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin:
Rethinking the Capacity of Graph Neural Networks for Branching Strategy. NeurIPS 2024 - [c69]Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin:
Democratizing Energy Management with LLM-Assisted Optimization Autoformalism. SmartGridComm 2024: 258-263 - [i98]Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin:
Rethinking the Capacity of Graph Neural Networks for Branching Strategy. CoRR abs/2402.07099 (2024) - [i97]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:
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR abs/2402.11592 (2024) - [i96]Huajie Qian, Donghao Ying, Henry Lam, Wotao Yin:
Bagging Improves Generalization Exponentially. CoRR abs/2405.14741 (2024) - [i95]Xiaohan Chen, Jialin Liu, Wotao Yin:
Learning to optimize: A tutorial for continuous and mixed-integer optimization. CoRR abs/2405.15251 (2024) - [i94]Liangzu Peng, Wotao Yin:
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares. CoRR abs/2405.16020 (2024) - [i93]Zhonglin Xie, Wotao Yin, Zaiwen Wen:
ODE-based Learning to Optimize. CoRR abs/2406.02006 (2024) - [i92]Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin:
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs. CoRR abs/2406.05938 (2024) - [i91]Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin:
Solving General Natural-Language-Description Optimization Problems with Large Language Models. CoRR abs/2407.07924 (2024) - [i90]Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai:
S3Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching. CoRR abs/2408.08567 (2024) - 2023
- [j94]Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
Attentional-Biased Stochastic Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023) - [c68]Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Safeguarded Learned Convex Optimization. AAAI 2023: 7848-7855 - [c67]Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen:
Alternating Projected SGD for Equality-constrained Bilevel Optimization. AISTATS 2023: 987-1023 - [c66]Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin:
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. AISTATS 2023: 10732-10781 - [c65]Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin:
On Representing Linear Programs by Graph Neural Networks. ICLR 2023 - [c64]Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin:
On Representing Mixed-Integer Linear Programs by Graph Neural Networks. ICLR 2023 - [c63]Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin:
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. ICML 2023: 8067-8089 - [c62]Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai:
Towards Constituting Mathematical Structures for Learning to Optimize. ICML 2023: 21426-21449 - [i89]Yutong He, Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan:
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression. CoRR abs/2305.07612 (2023) - [i88]Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai:
Towards Constituting Mathematical Structures for Learning to Optimize. CoRR abs/2305.18577 (2023) - [i87]Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin:
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. CoRR abs/2306.00256 (2023) - [i86]Mengyuan Zhang, Wotao Yin, Mengchang Wang, Yangbin Shen, Peng Xiang, You Wu, Liang Zhao, Junqiu Pan, Hu Jiang, KuoLing Huang:
MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning. CoRR abs/2307.08085 (2023) - [i85]Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin:
A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability. CoRR abs/2308.10380 (2023) - [i84]Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin:
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee. CoRR abs/2310.13261 (2023) - [i83]Mou Sun, Tao Li, Wotao Yin:
MindOpt Adapter for CPLEX Benchmarking Performance Analysis. CoRR abs/2312.13527 (2023) - 2022
- [j93]Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin:
Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. 23: 189:1-189:59 (2022) - [j92]Yiyang Liu, Zaiwen Wen, Wotao Yin:
A Multiscale Semi-Smooth Newton Method for Optimal Transport. J. Sci. Comput. 91(2): 39 (2022) - [j91]Jinshan Zeng, Wotao Yin, Ding-Xuan Zhou:
Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints. J. Sci. Comput. 91(2): 61 (2022) - [j90]Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin:
A Mean Field Game Inverse Problem. J. Sci. Comput. 92(1): 7 (2022) - [j89]Ernest K. Ryu, Robert Hannah, Wotao Yin:
Scaled relative graphs: nonexpansive operators via 2D Euclidean geometry. Math. Program. 194(1): 569-619 (2022) - [j88]Haixiang Zhang, Andre Milzarek, Zaiwen Wen, Wotao Yin:
On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint. Math. Program. 195(1): 421-473 (2022) - [j87]HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang:
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. SIAM J. Optim. 32(2): 687-714 (2022) - [j86]Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin:
Wasserstein-Based Projections with Applications to Inverse Problems. SIAM J. Math. Data Sci. 4(2): 581-603 (2022) - [c61]Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin:
JFB: Jacobian-Free Backpropagation for Implicit Networks. AAAI 2022: 6648-6656 - [c60]Tianyi Chen, Yuejiao Sun, Quan Xiao, Wotao Yin:
A Single-Timescale Method for Stochastic Bilevel Optimization. AISTATS 2022: 2466-2488 - [c59]Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan:
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. NeurIPS 2022 - [c58]Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan:
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate. NeurIPS 2022 - [c57]Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin:
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. NeurIPS 2022 - [i82]Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin:
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. CoRR abs/2205.08897 (2022) - [i81]Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan:
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. CoRR abs/2206.03665 (2022) - [i80]Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin:
On Representing Linear Programs by Graph Neural Networks. CoRR abs/2209.12288 (2022) - [i79]Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan:
Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate. CoRR abs/2210.07881 (2022) - [i78]Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin:
On Representing Mixed-Integer Linear Programs by Graph Neural Networks. CoRR abs/2210.10759 (2022) - [i77]Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen:
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization. CoRR abs/2211.07096 (2022) - [i76]Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin:
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. CoRR abs/2211.07937 (2022) - 2021
- [j85]Yanli Liu, Yunbei Xu, Wotao Yin:
Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures. J. Sci. Comput. 86(2): 21 (2021) - [j84]Jialin Liu, Wotao Yin, Wuchen Li, Yat Tin Chow:
Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances. SIAM J. Sci. Comput. 43(1): A193-A220 (2021) - [j83]Yanli Liu, Yuejiao Sun, Wotao Yin:
Decentralized Learning With Lazy and Approximate Dual Gradients. IEEE Trans. Signal Process. 69: 1362-1377 (2021) - [j82]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Communication-Adaptive Stochastic Gradient Methods for Distributed Learning. IEEE Trans. Signal Process. 69: 4637-4651 (2021) - [j81]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization. IEEE Trans. Signal Process. 69: 4937-4948 (2021) - [j80]Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu:
FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data. IEEE Trans. Signal Process. 69: 6055-6070 (2021) - [c56]Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin:
CADA: Communication-Adaptive Distributed Adam. AISTATS 2021: 613-621 - [c55]Yuejiao Sun, Tianyi Chen, Wotao Yin:
An Optimal Stochastic Compositional Optimization Method with Applications to Meta Learning. ICASSP 2021: 3665-3669 - [c54]Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin:
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. ICCV 2021: 3009-3019 - [c53]Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang:
Learning A Minimax Optimizer: A Pilot Study. ICLR 2021 - [c52]HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin:
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. ICML 2021: 1193-1203 - [c51]Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin:
Accelerating Gossip SGD with Periodic Global Averaging. ICML 2021: 1791-1802 - [c50]Fei Feng, Wotao Yin, Alekh Agarwal, Lin Yang:
Provably Correct Optimization and Exploration with Non-linear Policies. ICML 2021: 3263-3273 - [c49]Miao Xie, Wotao Yin, Huan Xu:
AutoBandit: A Meta Bandit Online Learning System. IJCAI 2021: 5028-5031 - [c48]Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin:
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders. NeurIPS 2021: 3232-3243 - [c47]Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin:
Hyperparameter Tuning is All You Need for LISTA. NeurIPS 2021: 11678-11689 - [c46]Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin:
Exponential Graph is Provably Efficient for Decentralized Deep Training. NeurIPS 2021: 13975-13987 - [c45]HanQin Cai, Jialin Liu, Wotao Yin:
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. NeurIPS 2021: 16977-16989 - [c44]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems. NeurIPS 2021: 25294-25307 - [i75]Tianyi Chen, Yuejiao Sun, Wotao Yin:
A Single-Timescale Stochastic Bilevel Optimization Method. CoRR abs/2102.04671 (2021) - [i74]HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin:
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. CoRR abs/2102.10707 (2021) - [i73]Fei Feng, Wotao Yin, Alekh Agarwal, Lin F. Yang:
Provably Correct Optimization and Exploration with Non-linear Policies. CoRR abs/2103.11559 (2021) - [i72]Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin:
Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop. CoRR abs/2103.12803 (2021) - [i71]Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin:
Learning to Optimize: A Primer and A Benchmark. CoRR abs/2103.12828 (2021) - [i70]Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin:
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. CoRR abs/2104.11981 (2021) - [i69]Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin:
On the Comparison between Cyclic Sampling and Random Reshuffling. CoRR abs/2104.12112 (2021) - [i68]Howard Heaton, Samy Wu Fung, Aviv Gibali, Wotao Yin:
Feasibility-based Fixed Point Networks. CoRR abs/2104.14090 (2021) - [i67]Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
On Stochastic Moving-Average Estimators for Non-Convex Optimization. CoRR abs/2104.14840 (2021) - [i66]Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin:
Accelerating Gossip SGD with Periodic Global Averaging. CoRR abs/2105.09080 (2021) - [i65]Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin:
Learn to Predict Equilibria via Fixed Point Networks. CoRR abs/2106.00906 (2021) - [i64]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems. CoRR abs/2106.13781 (2021) - [i63]Bum-Su Kim, HanQin Cai, Daniel McKenzie, Wotao Yin:
Curvature-Aware Derivative-Free Optimization. CoRR abs/2109.13391 (2021) - [i62]HanQin Cai, Jialin Liu, Wotao Yin:
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection. CoRR abs/2110.05649 (2021) - [i61]Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin:
Exponential Graph is Provably Efficient for Decentralized Deep Training. CoRR abs/2110.13363 (2021) - [i60]Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin:
Hyperparameter Tuning is All You Need for LISTA. CoRR abs/2110.15900 (2021) - [i59]Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin:
BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. CoRR abs/2111.04287 (2021) - [i58]Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
A Novel Convergence Analysis for Algorithms of the Adam Family. CoRR abs/2112.03459 (2021) - 2020
- [j79]Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin:
Markov chain block coordinate descent. Comput. Optim. Appl. 75(1): 35-61 (2020) - [j78]Chun-Na Li, Yuan-Hai Shao, Wotao Yin, Ming-Zeng Liu:
Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Trans. Neural Networks Learn. Syst. 31(3): 915-926 (2020) - [j77]Xianghui Mao, Kun Yuan, Yubin Hu, Yuantao Gu, Ali H. Sayed, Wotao Yin:
Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. IEEE Trans. Signal Process. 68: 2513-2528 (2020) - [j76]Huan Li, Cong Fang, Wotao Yin, Zhouchen Lin:
Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters. IEEE Trans. Signal Process. 68: 4855-4870 (2020) - [c43]Yibo Zeng, Fei Feng, Wotao Yin:
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity. AISTATS 2020: 713-723 - [c42]Yanli Liu, Yuan Gao, Wotao Yin:
An Improved Analysis of Stochastic Gradient Descent with Momentum. NeurIPS 2020 - [c41]Fei Feng, Ruosong Wang, Wotao Yin, Simon S. Du, Lin F. Yang:
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning. NeurIPS 2020 - [c40]Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin:
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. NeurIPS 2020 - [i57]Xinmeng Huang, Ernest K. Ryu, Wotao Yin:
Scaled Relative Graph of Normal Matrices. CoRR abs/2001.02061 (2020) - [i56]Tianyi Chen, Yuejiao Sun, Wotao Yin:
LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning. CoRR abs/2002.11360 (2020) - [i55]Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Safeguarded Learned Convex Optimization. CoRR abs/2003.01880 (2020) - [i54]Fei Feng, Ruosong Wang, Wotao Yin, Simon S. Du, Lin F. Yang:
Provably Efficient Exploration for RL with Unsupervised Learning. CoRR abs/2003.06898 (2020) - [i53]HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang:
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. CoRR abs/2003.13001 (2020) - [i52]Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu:
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data. CoRR abs/2005.11418 (2020) - [i51]Tianyi Chen, Xiao Jin, Yuejiao Sun, Wotao Yin:
VAFL: a Method of Vertical Asynchronous Federated Learning. CoRR abs/2007.06081 (2020) - [i50]Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin:
A mean field game inverse problem. CoRR abs/2007.11551 (2020) - [i49]Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin:
Projecting to Manifolds via Unsupervised Learning. CoRR abs/2008.02200 (2020) - [i48]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization. CoRR abs/2008.10847 (2020) - [i47]HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang:
SCOBO: Sparsity-Aware Comparison Oracle Based Optimization. CoRR abs/2010.02479 (2020) - [i46]Qi Qi, Yi Xu, Rong Jin, Wotao Yin, Tianbao Yang:
Attentional Biased Stochastic Gradient for Imbalanced Classification. CoRR abs/2012.06951 (2020) - [i45]Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen:
Hybrid Federated Learning: Algorithms and Implementation. CoRR abs/2012.12420 (2020) - [i44]Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin:
CADA: Communication-Adaptive Distributed Adam. CoRR abs/2012.15469 (2020)
2010 – 2019
- 2019
- [j75]Ernest K. Ryu, Yanli Liu, Wotao Yin:
Douglas-Rachford splitting and ADMM for pathological convex optimization. Comput. Optim. Appl. 74(3): 747-778 (2019) - [j74]Xianghui Mao, Yuantao Gu, Wotao Yin:
Walk Proximal Gradient: An Energy-Efficient Algorithm for Consensus Optimization. IEEE Internet Things J. 6(2): 2048-2060 (2019) - [j73]Yat Tin Chow, Jérôme Darbon, Stanley J. Osher, Wotao Yin:
Algorithm for overcoming the curse of dimensionality for state-dependent Hamilton-Jacobi equations. J. Comput. Phys. 387: 376-409 (2019) - [j72]Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin:
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning. J. Mach. Learn. Res. 20: 72:1-72:47 (2019) - [j71]Yanli Liu, Wotao Yin:
An Envelope for Davis-Yin Splitting and Strict Saddle-Point Avoidance. J. Optim. Theory Appl. 181(2): 567-587 (2019) - [j70]Yu Wang, Wotao Yin, Jinshan Zeng:
Global Convergence of ADMM in Nonconvex Nonsmooth Optimization. J. Sci. Comput. 78(1): 29-63 (2019) - [j69]Yat Tin Chow, Wuchen Li, Stanley J. Osher, Wotao Yin:
Algorithm for Hamilton-Jacobi Equations in Density Space Via a Generalized Hopf Formula. J. Sci. Comput. 80(2): 1195-1239 (2019) - [j68]Yifan Chen, Yuejiao Sun, Wotao Yin:
Run-and-Inspect Method for nonconvex optimization and global optimality bounds for R-local minimizers. Math. Program. 176(1-2): 39-67 (2019) - [j67]Yanli Liu, Ernest K. Ryu, Wotao Yin:
A new use of Douglas-Rachford splitting for identifying infeasible, unbounded, and pathological conic programs. Math. Program. 177(1-2): 225-253 (2019) - [j66]Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu:
Denoising Prior Driven Deep Neural Network for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2305-2318 (2019) - [j65]Omri Azencot, Wotao Yin, Andrea L. Bertozzi:
Consistent Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. 18(3): 1565-1585 (2019) - [c39]Wei Xu, Kun Yuan, Wotao Yin, Qing Ling:
On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization. ACSSC 2019: 1501-1505 - [c38]Robert Hannah, Fei Feng, Wotao Yin:
A2BCD: Asynchronous Acceleration with Optimal Complexity. ICLR (Poster) 2019 - [c37]Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA. ICLR (Poster) 2019 - [c36]Yanli Liu, Fei Feng, Wotao Yin:
Acceleration of SVRG and Katyusha X by Inexact Preconditioning. ICML 2019: 4003-4012 - [c35]Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. ICML 2019: 5546-5557 - [i43]Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. CoRR abs/1905.05406 (2019) - [i42]Ernest K. Ryu, Kun Yuan, Wotao Yin:
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs. CoRR abs/1905.10899 (2019) - [i41]Lei Guan, Wotao Yin, Dongsheng Li, Xicheng Lu:
XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training. CoRR abs/1911.04610 (2019) - [i40]Fei Feng, Wotao Yin, Lin F. Yang:
Does Knowledge Transfer Always Help to Learn a Better Policy? CoRR abs/1912.02986 (2019) - 2018
- [j64]Michael Royston, Andre Pradhana, Byungjoon Lee, Yat Tin Chow, Wotao Yin, Joseph Teran, Stanley J. Osher:
Parallel redistancing using the Hopf-Lax formula. J. Comput. Phys. 365: 7-17 (2018) - [j63]Jin-Jin Mei, Yiqiu Dong, Ting-Zhu Huang, Wotao Yin:
Cauchy Noise Removal by Nonconvex ADMM with Convergence Guarantees. J. Sci. Comput. 74(2): 743-766 (2018) - [j62]Wuchen Li, Ernest K. Ryu, Stanley J. Osher, Wotao Yin, Wilfrid Gangbo:
A Parallel Method for Earth Mover's Distance. J. Sci. Comput. 75(1): 182-197 (2018) - [j61]Robert Hannah, Wotao Yin:
On Unbounded Delays in Asynchronous Parallel Fixed-Point Algorithms. J. Sci. Comput. 76(1): 299-326 (2018) - [j60]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
First- and Second-Order Methods for Online Convolutional Dictionary Learning. SIAM J. Imaging Sci. 11(2): 1589-1628 (2018) - [j59]Yilei Shi, Xiao Xiang Zhu, Wotao Yin, Richard Bamler:
A Fast and Accurate Basis Pursuit Denoising Algorithm With Application to Super-Resolving Tomographic SAR. IEEE Trans. Geosci. Remote. Sens. 56(10): 6148-6158 (2018) - [j58]Zhaohui Du, Xuefeng Chen, Han Zhang, Ruqiang Yan, Wotao Yin:
Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition. IEEE Trans. Ind. Informatics 14(10): 4417-4430 (2018) - [j57]Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed:
Decentralized Consensus Optimization With Asynchrony and Delays. IEEE Trans. Signal Inf. Process. over Networks 4(2): 293-307 (2018) - [j56]Jinshan Zeng, Wotao Yin:
On Nonconvex Decentralized Gradient Descent. IEEE Trans. Signal Process. 66(11): 2834-2848 (2018) - [j55]Yingyu Li, Guangming Shi, Wotao Yin, Lanchao Liu, Zhu Han:
A Distributed ADMM Approach With Decomposition-Coordination for Mobile Data Offloading. IEEE Trans. Veh. Technol. 67(3): 2514-2530 (2018) - [c34]Robert Hannah, Yanli Liu, Daniel O'Connor, Wotao Yin:
Breaking the Span Assumption Yields Fast Finite-Sum Minimization. NeurIPS 2018: 2318-2327 - [c33]Tianyi Chen, Georgios B. Giannakis, Tao Sun, Wotao Yin:
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning. NeurIPS 2018: 5055-5065 - [c32]Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin:
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds. NeurIPS 2018: 9079-9089 - [c31]Tao Sun, Yuejiao Sun, Wotao Yin:
On Markov Chain Gradient Descent. NeurIPS 2018: 9918-9927 - [i39]Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu:
Denoising Prior Driven Deep Neural Network for Image Restoration. CoRR abs/1801.06756 (2018) - [i38]Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin:
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning. CoRR abs/1803.05397 (2018) - [i37]Wotao Yin, Xianghui Mao, Kun Yuan, Yuantao Gu, Ali H. Sayed:
A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. CoRR abs/1804.06568 (2018) - [i36]Tianyi Chen, Georgios B. Giannakis, Tao Sun, Wotao Yin:
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning. CoRR abs/1805.09965 (2018) - [i35]Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin:
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds. CoRR abs/1808.10038 (2018) - [i34]Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin:
Markov Chain Block Coordinate Descent. CoRR abs/1811.08990 (2018) - [i33]Yibo Zeng, Fei Feng, Wotao Yin:
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Reinforcement Learning with Near-Optimal Sample Complexity. CoRR abs/1812.00885 (2018) - 2017
- [j54]Wei Deng, Ming-Jun Lai, Zhimin Peng, Wotao Yin:
Parallel Multi-Block ADMM with o(1 / k) Convergence. J. Sci. Comput. 71(2): 712-736 (2017) - [j53]Yangyang Xu, Wotao Yin:
A Globally Convergent Algorithm for Nonconvex Optimization Based on Block Coordinate Update. J. Sci. Comput. 72(2): 700-734 (2017) - [j52]Yat Tin Chow, Jérôme Darbon, Stanley J. Osher, Wotao Yin:
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. 73(2-3): 617-643 (2017) - [j51]Damek Davis, Wotao Yin:
Faster Convergence Rates of Relaxed Peaceman-Rachford and ADMM Under Regularity Assumptions. Math. Oper. Res. 42(3): 783-805 (2017) - [j50]Yat Tin Chow, Tianyu Wu, Wotao Yin:
Cyclic Coordinate-Update Algorithms for Fixed-Point Problems: Analysis and Applications. SIAM J. Sci. Comput. 39(4) (2017) - [c30]Zifeng Wang, Qing Ling, Wotao Yin:
Decentralized bundle method for nonsmooth consensus optimization. GlobalSIP 2017: 568-572 - [c29]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
Online convolutional dictionary learning. ICIP 2017: 1707-1711 - [c28]Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, Xiaoxiang Zhu:
Robust linear unmixing with enhanced sparsity. ICIP 2017: 3140-3144 - [c27]Jing Qin, Tianyu Wu, Ying Li, Wotao Yin, Stanley J. Osher, Wentai Liu:
Accelerated high-resolution EEG source imaging. NER 2017: 1-4 - [c26]Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin:
Straggler Mitigation in Distributed Optimization Through Data Encoding. NIPS 2017: 5434-5442 - [c25]Tao Sun, Robert Hannah, Wotao Yin:
Asynchronous Coordinate Descent under More Realistic Assumptions. NIPS 2017: 6182-6190 - [i32]Yanli Liu, Ernest K. Ryu, Wotao Yin:
A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs. CoRR abs/1706.02374 (2017) - [i31]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
Online Convolutional Dictionary Learning. CoRR abs/1706.09563 (2017) - [i30]Robert Hannah, Wotao Yin:
More Iterations per Second, Same Quality - Why Asynchronous Algorithms may Drastically Outperform Traditional Ones. CoRR abs/1708.05136 (2017) - [i29]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
Online Convolutional Dictionary Learning. CoRR abs/1709.00106 (2017) - [i28]Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin:
Straggler Mitigation in Distributed Optimization Through Data Encoding. CoRR abs/1711.04969 (2017) - [i27]Yifan Chen, Yuejiao Sun, Wotao Yin:
Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers. CoRR abs/1711.08172 (2017) - 2016
- [j49]Hui Zhang, Ming Yan, Wotao Yin:
One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations. Adv. Comput. Math. 42(6): 1381-1399 (2016) - [j48]Wei Deng, Wotao Yin:
On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers. J. Sci. Comput. 66(3): 889-916 (2016) - [j47]Kun Yuan, Qing Ling, Wotao Yin:
On the Convergence of Decentralized Gradient Descent. SIAM J. Optim. 26(3): 1835-1854 (2016) - [j46]Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin:
ARock: An Algorithmic Framework for Asynchronous Parallel Coordinate Updates. SIAM J. Sci. Comput. 38(5) (2016) - [c24]Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed:
Decentralized consensus optimization with asynchrony and delays. ACSSC 2016: 992-996 - [c23]Yat Tin Chow, Wei Shi, Tianyu Wu, Wotao Yin:
Expander graph and communication-efficient decentralized optimization. ACSSC 2016: 1715-1720 - [i26]Zhimin Peng, Tianyu Wu, Yangyang Xu, Ming Yan, Wotao Yin:
Coordinate Friendly Structures, Algorithms and Applications. CoRR abs/1601.00863 (2016) - [i25]Jinshan Zeng, Wotao Yin:
On Nonconvex Decentralized Gradient Descent. CoRR abs/1608.05766 (2016) - [i24]Robert Hannah, Wotao Yin:
On Unbounded Delays in Asynchronous Parallel Fixed-Point Algorithms. CoRR abs/1609.04746 (2016) - [i23]Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed:
Decentralized Consensus Optimization with Asynchrony and Delays. CoRR abs/1612.00150 (2016) - [i22]Yat Tin Chow, Wei Shi, Tianyu Wu, Wotao Yin:
Expander Graph and Communication-Efficient Decentralized Optimization. CoRR abs/1612.00903 (2016) - [i21]Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin:
On the Convergence of Asynchronous Parallel Iteration with Arbitrary Delays. CoRR abs/1612.04425 (2016) - 2015
- [j45]Hui Zhang, Wotao Yin, Lizhi Cheng:
Necessary and Sufficient Conditions of Solution Uniqueness in 1-Norm Minimization. J. Optim. Theory Appl. 164(1): 109-122 (2015) - [j44]Wei Shi, Qing Ling, Gang Wu, Wotao Yin:
EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization. SIAM J. Optim. 25(2): 944-966 (2015) - [j43]Yangyang Xu, Wotao Yin:
Block Stochastic Gradient Iteration for Convex and Nonconvex Optimization. SIAM J. Optim. 25(3): 1686-1716 (2015) - [j42]Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin:
Sparse kernel learning-based feature selection for anomaly detection. IEEE Trans. Aerosp. Electron. Syst. 51(3): 1698-1716 (2015) - [j41]Wei Shi, Qing Ling, Gang Wu, Wotao Yin:
A Proximal Gradient Algorithm for Decentralized Composite Optimization. IEEE Trans. Signal Process. 63(22): 6013-6023 (2015) - [j40]Chinmay Hegde, Aswin C. Sankaranarayanan, Wotao Yin, Richard G. Baraniuk:
NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings. IEEE Trans. Signal Process. 63(22): 6109-6121 (2015) - [c22]Yingyu Li, Yifang Zhu, Wotao Yin, Yang Liu, Guangming Shi, Zhu Han:
Prediction of High Resolution Spatial-Temporal Air Pollutant Map from Big Data Sources. BigCom 2015: 273-282 - [c21]Wei Shi, Qing Ling, Gang Wu, Wotao Yin:
A proximal gradient algorithm for decentralized nondifferentiable optimization. ICASSP 2015: 2964-2968 - [i20]Zhimin Peng, Yangyang Xu, Ming Yan, Wotao Yin:
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates. CoRR abs/1506.02396 (2015) - [i19]Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin:
Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection. CoRR abs/1506.02585 (2015) - [i18]Jinshan Zeng, Wotao Yin:
ExtraPush for Convex Smooth Decentralized Optimization over Directed Networks. CoRR abs/1511.02942 (2015) - [i17]Yu Wang, Wotao Yin, Jinshan Zeng:
Global Convergence of ADMM in Nonconvex Nonsmooth Optimization. CoRR abs/1511.06324 (2015) - 2014
- [j39]Rongjie Lai, Zaiwen Wen, Wotao Yin, Xianfeng Gu, Lok Ming Lui:
Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization. J. Sci. Comput. 58(3): 705-725 (2014) - [j38]Weihong Guo, Jing Qin, Wotao Yin:
A New Detail-Preserving Regularization Scheme. SIAM J. Imaging Sci. 7(2): 1309-1334 (2014) - [j37]Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin:
On the Linear Convergence of the ADMM in Decentralized Consensus Optimization. IEEE Trans. Signal Process. 62(7): 1750-1761 (2014) - [i16]Christoph Studer, Tom Goldstein, Wotao Yin, Richard G. Baraniuk:
Democratic Representations. CoRR abs/1401.3420 (2014) - [i15]Jianing Shi, Wotao Yin, Aswin C. Sankaranarayanan, Richard G. Baraniuk:
Video Compressive Sensing for Dynamic MRI. CoRR abs/1401.7715 (2014) - [i14]Yangyang Xu, Wotao Yin:
Block stochastic gradient iteration for convex and nonconvex optimization. CoRR abs/1408.2597 (2014) - [i13]Yangyang Xu, Wotao Yin:
A fast patch-dictionary method for whole image recovery. CoRR abs/1408.3740 (2014) - 2013
- [j36]Chengbo Li, Wotao Yin, Hong Jiang, Yin Zhang:
An efficient augmented Lagrangian method with applications to total variation minimization. Comput. Optim. Appl. 56(3): 507-530 (2013) - [j35]Wotao Yin, Stanley J. Osher:
Error Forgetting of Bregman Iteration. J. Sci. Comput. 54(2-3): 684-695 (2013) - [j34]Zaiwen Wen, Wotao Yin:
A feasible method for optimization with orthogonality constraints. Math. Program. 142(1-2): 397-434 (2013) - [j33]Ming-Jun Lai, Wotao Yin:
Augmented 퓁1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm. SIAM J. Imaging Sci. 6(2): 1059-1091 (2013) - [j32]Yangyang Xu, Wotao Yin:
A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion. SIAM J. Imaging Sci. 6(3): 1758-1789 (2013) - [j31]Ming-Jun Lai, Yangyang Xu, Wotao Yin:
Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed 퓁q Minimization. SIAM J. Numer. Anal. 51(2): 927-957 (2013) - [j30]Qing Ling, Zaiwen Wen, Wotao Yin:
Decentralized Jointly Sparse Optimization by Reweighted lq Minimization. IEEE Trans. Signal Process. 61(5): 1165-1170 (2013) - [c20]Yi Yang, Hayden Schaeffer, Wotao Yin, Stanley J. Osher:
Mixing space-time derivatives for video compressive sensing. ACSSC 2013: 158-162 - [c19]Zhimin Peng, Ming Yan, Wotao Yin:
Parallel and distributed sparse optimization. ACSSC 2013: 659-646 - [c18]Kun Yuan, Qing Ling, Wotao Yin, Alejandro Ribeiro:
A linearized bregman algorithm for decentralized basis pursuit. EUSIPCO 2013: 1-5 - [c17]Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin:
Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers. ICASSP 2013: 4613-4617 - [c16]Lanchao Liu, Amin Khodaei, Wotao Yin, Zhu Han:
A distribute parallel approach for big data scale optimal power flow with security constraints. SmartGridComm 2013: 774-778 - [c15]Prudhvi Gurram, Heesung Kwon, Zhimin Peng, Wotao Yin:
Optimal sparse kernel learning for hyperspectral anomaly detection. WHISPERS 2013: 1-4 - [i12]Hui Zhang, Wotao Yin:
Gradient methods for convex minimization: better rates under weaker conditions. CoRR abs/1303.4645 (2013) - [i11]Hui Zhang, Ming Yan, Wotao Yin:
One condition for all: solution uniqueness and robustness of ℓ1-synthesis and ℓ1-analysis minimizations. CoRR abs/1304.5038 (2013) - [i10]Hui Zhang, Lizhi Cheng, Wotao Yin:
A dual algorithm for a class of augmented convex models. CoRR abs/1308.6337 (2013) - [i9]Yangyang Xu, Ruru Hao, Wotao Yin, Zhixun Su:
Parallel matrix factorization for low-rank tensor completion. CoRR abs/1312.1254 (2013) - 2012
- [j29]Leming Qu, Wotao Yin:
Copula density estimation by total variation penalized likelihood with linear equality constraints. Comput. Stat. Data Anal. 56(2): 384-398 (2012) - [j28]Qing Ling, Min Tao, Wotao Yin, Xiaoming Yuan:
A multi-block alternating direction method with parallel splitting for decentralized consensus optimization. EURASIP J. Wirel. Commun. Netw. 2012: 338 (2012) - [j27]Jia (Jasmine) Meng, Wotao Yin, Yingying Li, Nam Tuan Nguyen, Zhu Han:
Compressive Sensing Based High-Resolution Channel Estimation for OFDM System. IEEE J. Sel. Top. Signal Process. 6(1): 15-25 (2012) - [j26]Zaiwen Wen, Wotao Yin, Yin Zhang:
Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm. Math. Program. Comput. 4(4): 333-361 (2012) - [j25]Zaiwen Wen, Wotao Yin, Hongchao Zhang, Donald Goldfarb:
On the convergence of an active-set method for ℓ1 minimization. Optim. Methods Softw. 27(6): 1127-1146 (2012) - [j24]Yunmei Chen, William W. Hager, Feng Huang, Dzung T. Phan, Xiaojing Ye, Wotao Yin:
Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging. SIAM J. Imaging Sci. 5(1): 90-118 (2012) - [j23]Weihong Guo, Wotao Yin:
Edge Guided Reconstruction for Compressive Imaging. SIAM J. Imaging Sci. 5(3): 809-834 (2012) - [c14]Christoph Studer, Wotao Yin, Richard G. Baraniuk:
Signal representations with minimum ℓ∞-norm. Allerton Conference 2012: 1270-1277 - [c13]Qing Ling, Yangyang Xu, Wotao Yin, Zaiwen Wen:
Decentralized low-rank matrix completion. ICASSP 2012: 2925-2928 - [c12]Po-Sen Huang, Mark Hasegawa-Johnson, Wotao Yin, Thomas S. Huang:
Opportunistic sensing: Unattended acoustic sensor selection using crowdsourcing models. MLSP 2012: 1-6 - [i8]Ming-Jun Lai, Wotao Yin:
Augmented L1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm. CoRR abs/1201.4615 (2012) - [i7]Hui Zhang, Wotao Yin, Lizhi Cheng:
Necessary and sufficient conditions of solution uniqueness in ℓ1 minimization. CoRR abs/1209.0652 (2012) - 2011
- [j22]Jia (Jasmine) Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zhu Han:
Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks. IEEE J. Sel. Areas Commun. 29(2): 327-337 (2011) - [j21]Jason N. Laska, Zaiwen Wen, Wotao Yin, Richard G. Baraniuk:
Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements. IEEE Trans. Signal Process. 59(11): 5289-5301 (2011) - [c11]Wotao Yin, Zaiwen Wen, Shuyi Li, Jia (Jasmine) Meng, Zhu Han:
Dynamic compressive spectrum sensing for cognitive radio networks. CISS 2011: 1-6 - [c10]Yingying Li, Wei-Chuan Shih, Zhu Han, Wotao Yin:
Oil spill sensor using multispectral infrared imaging via ℓ1 minimization. ICASSP 2011: 1381-1384 - [c9]Jia (Jasmine) Meng, Yingying Li, Nam Tuan Nguyen, Wotao Yin, Zhu Han:
High Resolution OFDM Channel Estimation with Low Speed ADC Using Compressive Sensing. ICC 2011: 1-6 - [i6]Yangyang Xu, Wotao Yin, Zaiwen Wen, Yin Zhang:
An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors. CoRR abs/1103.1168 (2011) - [i5]Stanley J. Osher, Yu Mao, Bin Dong, Wotao Yin:
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising. CoRR abs/1104.0262 (2011) - 2010
- [j20]Jianing Shi, Wotao Yin, Stanley J. Osher, Paul Sajda:
A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression. J. Mach. Learn. Res. 11: 713-741 (2010) - [j19]Junfeng Yang, Yin Zhang, Wotao Yin:
A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data. IEEE J. Sel. Top. Signal Process. 4(2): 288-297 (2010) - [j18]Zaiwen Wen, Donald Goldfarb, Wotao Yin:
Alternating direction augmented Lagrangian methods for semidefinite programming. Math. Program. Comput. 2(3-4): 203-230 (2010) - [j17]Yilun Wang, Wotao Yin:
Sparse Signal Reconstruction via Iterative Support Detection. SIAM J. Imaging Sci. 3(3): 462-491 (2010) - [j16]Wotao Yin:
Analysis and Generalizations of the Linearized Bregman Method. SIAM J. Imaging Sci. 3(4): 856-877 (2010) - [j15]Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang:
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation. SIAM J. Sci. Comput. 32(4): 1832-1857 (2010) - [j14]Qing Li, Wotao Yin, Zhigang Deng:
Image-based face illumination transferring using logarithmic total variation models. Vis. Comput. 26(1): 41-49 (2010) - [c8]Jia (Jasmine) Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zhu Han:
Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks. ICASSP 2010: 3114-3117 - [c7]Weihong Guo, Wotao Yin:
EdgeCS: edge guided compressive sensing reconstruction. VCIP 2010: 77440L - [c6]Wotao Yin, Simon P. Morgan, Junfeng Yang, Yin Zhang:
Practical compressive sensing with Toeplitz and circulant matrices. VCIP 2010: 77440K - [i4]Jia (Jasmine) Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zhu Han:
Collaborative Spectrum Sensing from Sparse Observations Using Matrix Completion for Cognitive Radio Networks. CoRR abs/1001.2038 (2010) - [i3]Jia (Jasmine) Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zhu Han:
Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks. CoRR abs/1008.4348 (2010)
2000 – 2009
- 2009
- [j13]Donald Goldfarb, Zaiwen Wen, Wotao Yin:
A Curvilinear Search Method for p-Harmonic Flows on Spheres. SIAM J. Imaging Sci. 2(1): 84-109 (2009) - [j12]Junfeng Yang, Wotao Yin, Yin Zhang, Yilun Wang:
A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration. SIAM J. Imaging Sci. 2(2): 569-592 (2009) - [j11]Junfeng Yang, Yin Zhang, Wotao Yin:
An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise. SIAM J. Sci. Comput. 31(4): 2842-2865 (2009) - [j10]Donald Goldfarb, Wotao Yin:
Parametric Maximum Flow Algorithms for Fast Total Variation Minimization. SIAM J. Sci. Comput. 31(5): 3712-3743 (2009) - [i2]Yilun Wang, Wotao Yin:
Compressed Sensing via Iterative Support Detection. CoRR abs/0909.4359 (2009) - 2008
- [j9]Wotao Yin, Stanley J. Osher, Donald Goldfarb, Jérôme Darbon:
Bregman Iterative Algorithms for \ell1-Minimization with Applications to Compressed Sensing. SIAM J. Imaging Sci. 1(1): 143-168 (2008) - [j8]Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang:
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction. SIAM J. Imaging Sci. 1(3): 248-272 (2008) - [j7]Elaine T. Hale, Wotao Yin, Yin Zhang:
Fixed-Point Continuation for l1-Minimization: Methodology and Convergence. SIAM J. Optim. 19(3): 1107-1130 (2008) - [c5]Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty:
An efficient algorithm for compressed MR imaging using total variation and wavelets. CVPR 2008 - [c4]Rick Chartrand, Wotao Yin:
Iteratively reweighted algorithms for compressive sensing. ICASSP 2008: 3869-3872 - [i1]Simon P. Morgan, Wotao Yin, Kevin R. Vixie:
A Matlab Implementation of a Flat Norm Motivated Polygonal Edge Matching Method using a Decomposition of Boundary into Four 1-Dimensional Currents. CoRR abs/0812.0340 (2008) - 2007
- [j6]Wotao Yin, Donald Goldfarb, Stanley J. Osher:
A comparison of three total variation based texture extraction models. J. Vis. Commun. Image Represent. 18(3): 240-252 (2007) - [j5]Wotao Yin, Donald Goldfarb, Stanley J. Osher:
The Total Variation Regularized L1 Model for Multiscale Decomposition. Multiscale Model. Simul. 6(1): 190-211 (2007) - 2006
- [j4]Terrence Chen, Wotao Yin, Xiang Sean Zhou, Dorin Comaniciu, Thomas S. Huang:
Total Variation Models for Variable Lighting Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(9): 1519-1524 (2006) - 2005
- [j3]Wotao Yin, Terrence Chen, Xiang Sean Zhou, Amit Chakraborty:
Background correction for cDNA microarray images using the TV+L1 model. Bioinform. 21(10): 2410-2416 (2005) - [j2]Stanley J. Osher, Martin Burger, Donald Goldfarb, Jinjun Xu, Wotao Yin:
An Iterative Regularization Method for Total Variation-Based Image Restoration. Multiscale Model. Simul. 4(2): 460-489 (2005) - [j1]Donald Goldfarb, Wotao Yin:
Second-order Cone Programming Methods for Total Variation-Based Image Restoration. SIAM J. Sci. Comput. 27(2): 622-645 (2005) - [c3]Terrence Chen, Thomas S. Huang, Wotao Yin, Xiang Sean Zhou:
A New Coarse-to-Fine Framework for 3D Brain MR Image Registration. CVBIA 2005: 114-124 - [c2]Terrence Chen, Wotao Yin, Xiang Sean Zhou, Dorin Comaniciu, Thomas S. Huang:
Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models. CVPR (2) 2005: 532-539 - [c1]Wotao Yin, Donald Goldfarb, Stanley J. Osher:
Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L1 Functional. VLSM 2005: 73-84
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
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last updated on 2025-02-18 02:20 CET by the dblp team
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