| 2026 | ACL | AdapThink: Adaptive Thinking Preferences for Reasoning Language Models. | Wenyue Xu, Xu Wan, Wei Wang, Wenqi Huang, Wotao Yin, Shengjie Zhao, Mingyang Sun |
| 2025 | EMNLP | Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning. | Zhuoyue Chen, Jihai Zhang, Ben Liu, Fangquan Lin, Wotao Yin |
| 2025 | ICML | Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs. | Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin |
| 2025 | KDD | IVMR suite: An Industrial-scale Virtual Machine Rescheduling Dataset and Benchmark for Elastic Cloud Service. | Yupeng Zhang, Xu Wan, Xiangyun Kong, Chao Yang, Binda Ma, Wotao Yin, Jian Zhou |
| 2025 | WWW | SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs. | Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin |
| 2024 | EMNLP | BC-Prover: Backward Chaining Prover for Formal Theorem Proving. | Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin |
| 2024 | ICML | Efficient Algorithms for Sum-Of-Minimum Optimization. | Lisang Ding, Ziang Chen, Xinshang Wang, Wotao Yin |
| 2024 | ICML | Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares. | Liangzu Peng, Wotao Yin |
| 2024 | ICML | Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. | 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 | NAACL | Solving General Natural-Language-Description Optimization Problems with Large Language Models. | Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin |
| 2023 | AAAI | Safeguarded Learned Convex Optimization. | Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin |
| 2023 | AISTATS | HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. | Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin |
| 2023 | AISTATS | Alternating Projected SGD for Equality-constrained Bilevel Optimization. | Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen |
| 2023 | ICLR | On Representing Linear Programs by Graph Neural Networks. | Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin |
| 2023 | ICLR | On Representing Mixed-Integer Linear Programs by Graph Neural Networks. | Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin |
| 2023 | ICML | Towards Constituting Mathematical Structures for Learning to Optimize. | Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai |
| 2023 | ICML | DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. | Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin |
| 2022 | AAAI | JFB: Jacobian-Free Backpropagation for Implicit Networks. | Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin |
| 2022 | AISTATS | A Single-Timescale Method for Stochastic Bilevel Optimization. | Tianyi Chen, Yuejiao Sun, Quan Xiao, Wotao Yin |
| 2021 | AISTATS | CADA: Communication-Adaptive Distributed Adam. | Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin |
| 2021 | ICASSP | An Optimal Stochastic Compositional Optimization Method with Applications to Meta Learning. | Yuejiao Sun, Tianyi Chen, Wotao Yin |
| 2021 | ICCV | DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. | Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin |
| 2021 | ICLR | Learning A Minimax Optimizer: A Pilot Study. | Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang |
| 2021 | ICML | A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. | HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin |
| 2021 | ICML | Accelerating Gossip SGD with Periodic Global Averaging. | Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin |
| 2021 | ICML | Provably Correct Optimization and Exploration with Non-linear Policies. | Fei Feng, Wotao Yin, Alekh Agarwal, Lin Yang |
| 2021 | IJCAI | AutoBandit: A Meta Bandit Online Learning System. | Miao Xie, Wotao Yin, Huan Xu |
| 2020 | AISTATS | AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity. | Yibo Zeng, Fei Feng, Wotao Yin |
| 2019 | ACSSC | On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization. | Wei Xu, Kun Yuan, Wotao Yin, Qing Ling |
| 2019 | ICLR | A2BCD: Asynchronous Acceleration with Optimal Complexity. | Robert Hannah, Fei Feng, Wotao Yin |
| 2019 | ICLR | ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA. | Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin |
| 2019 | ICML | Acceleration of SVRG and Katyusha X by Inexact Preconditioning. | Yanli Liu, Fei Feng, Wotao Yin |
| 2019 | ICML | Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. | Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin |
| 2017 | ICIP | Online convolutional dictionary learning. | Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin |
| 2017 | ICIP | Robust linear unmixing with enhanced sparsity. | Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, Xiaoxiang Zhu |
| 2016 | ACSSC | Expander graph and communication-efficient decentralized optimization. | Yat Tin Chow, Wei Shi, Tianyu Wu, Wotao Yin |
| 2016 | ACSSC | Decentralized consensus optimization with asynchrony and delays. | Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed |
| 2015 | ICASSP | A proximal gradient algorithm for decentralized nondifferentiable optimization. | Wei Shi, Qing Ling, Gang Wu, Wotao Yin |
| 2013 | ACSSC | Parallel and distributed sparse optimization. | Zhimin Peng, Ming Yan, Wotao Yin |
| 2013 | ACSSC | Mixing space-time derivatives for video compressive sensing. | Yi Yang, Hayden Schaeffer, Wotao Yin, Stanley J. Osher |
| 2013 | ICASSP | Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers. | Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin |
| 2012 | ICASSP | Decentralized low-rank matrix completion. | Qing Ling, Yangyang Xu, Wotao Yin, Zaiwen Wen |
| 2011 | CISS | Dynamic compressive spectrum sensing for cognitive radio networks. | Wotao Yin, Zaiwen Wen, Shuyi Li, Jia (Jasmine) Meng, Zhu Han |
| 2011 | ICASSP | Oil spill sensor using multispectral infrared imaging via ℓ1 minimization. | Yingying Li, Wei-Chuan Shih, Zhu Han, Wotao Yin |
| 2010 | ICASSP | Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks. | Jia (Jasmine) Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zhu Han |
| 2010 | VCIP | EdgeCS: edge guided compressive sensing reconstruction. | Weihong Guo, Wotao Yin |
| 2010 | VCIP | Practical compressive sensing with Toeplitz and circulant matrices. | Wotao Yin, Simon P. Morgan, Junfeng Yang, Yin Zhang |
| 2008 | CVPR | An efficient algorithm for compressed MR imaging using total variation and wavelets. | Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty |
| 2008 | ICASSP | Iteratively reweighted algorithms for compressive sensing. | Rick Chartrand, Wotao Yin |
| 2005 | CVPR | Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models. | Terrence Chen, Wotao Yin, Xiang Sean Zhou, Dorin Comaniciu, Thomas S. Huang |