| 2025 | AAAI | Memory Efficient Matting with Adaptive Token Routing. | Yiheng Lin, Yihan Hu, Chenyi Zhang, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei |
| 2025 | AISTATS | Approximate Global Convergence of Independent Learning in Multi-Agent Systems. | Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman |
| 2024 | COLT | Online Policy Optimization in Unknown Nonlinear Systems. | Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman |
| 2024 | ECCV | Diffusion for Natural Image Matting. | Yihan Hu, Yiheng Lin, Wei Wang, Yao Zhao, Yunchao Wei, Humphrey Shi |
| 2024 | SIGCOMM | SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. | Tianyu Chen, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman |
| 2023 | UAI | Convergence rates for localized actor-critic in networked Markov potential games. | Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman |
| 2023 | SIGMETRICS | Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. | Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman |
| 2022 | ICML | Decentralized Online Convex Optimization in Networked Systems. | Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman |
| 2022 | SIGMETRICS | Online Optimization with Feedback Delay and Nonlinear Switching Cost. | Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman |
| 2021 | CISS | Online Optimization with Predictions and Non-convex Losses. | Yiheng Lin |
| 2020 | SIGMETRICS | Online Optimization with Predictions and Non-convex Losses. | Yiheng Lin, Gautam Goel, Adam Wierman |