Lin, Yiheng

16 publications

AISTATS 2025 Approximate Global Convergence of Independent Learning in Multi-Agent Systems Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman

NeurIPS 2025 Maximizing the Value of Predictions in Control: Accuracy Is Not Enough Yiheng Lin, Christopher Yeh, Zaiwei Chen, Adam Wierman

AAAI 2025 Memory Efficient Matting with Adaptive Token Routing Yiheng Lin, Yihan Hu, Chenyi Zhang, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei

ECCV 2024 Diffusion for Natural Image Matting Yihan Hu, Yiheng Lin, Wei Wang, Yao Zhao, Yunchao Wei, Humphrey Shi

COLT 2024 Online Policy Optimization in Unknown Nonlinear Systems Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman

NeurIPS 2023 Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman

UAI 2023 Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman

NeurIPS 2023 Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman

L4DC 2023 Online Switching Control with Stability and Regret Guarantees Yingying Li, James A Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S Shamma

NeurIPS 2022 Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman

ICML 2022 Decentralized Online Convex Optimization in Networked Systems Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman

NeurIPS 2021 Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman

NeurIPS 2021 Perturbation-Based Regret Analysis of Predictive Control in Linear Time Varying Systems Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman

NeurIPS 2020 Online Optimization with Memory and Competitive Control Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman

NeurIPS 2020 Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu, Yiheng Lin, Adam Wierman, Na Li

NeurIPS 2019 Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman