Yiheng Lin

16 papers · 2019–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (29) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🏆 Keyword Champion (2) 🤝 Dynamic Duo (13) 🗃️ Keyword Collector (74) 💎 Century Club · Bronze 🔥 Unstoppable · Bronze

Venues

NeurIPS (8) AAAI (1) AISTATS (1) COLT (1) CVPR (1) ECCV (1) ICML (1) L4DC (1) UAI (1)

Top co-authors

Adam Wierman (13) Guannan Qu (5) Yisong Yue (3) Yunchao Wei (3) Yao Zhao (3) Tongxin Li (2) Soon-Jo Chung (2) Guanya Shi (2) Na Li (2) Emile Anand (2)

Research topics

Machine Learning (9) Reinforcement Learning (8) Mathematics & Optimization (7) Optimization (7) Methods (6) Optimization & Theory (6) Artificial Intelligence (5) Core AI (5) Applications (4) Learning Types (3) Deep Learning (2) Robotics (2) Systems (2) Application Areas (1) Architectures (1)

Keywords

multi-agent reinforcement learning (4) regret bound (3) competitive ratio (3) dynamic regret (2) online optimization (2) markov decision process (2) linear time-varying system (2) predictive control (2) online convex optimization (2) networked system (2) online control (2) control system (2) time-varying systems (2) model predictive control (1) robust optimization (1) decentralized optimization (1) sample complexity (1) reinforcement learning (1) regret analysis (1) chain-of-thought reasoning (1)

Papers

ThinkGen: Generalized Thinking for Visual Generation CVPR 2026 Approximate Global Convergence of Independent Learning in Multi-Agent Systems AISTATS 2025 Memory Efficient Matting with Adaptive Token Routing AAAI 2025 Diffusion for Natural Image Matting ECCV 2024 Online Policy Optimization in Unknown Nonlinear Systems COLT 2024 Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions NeurIPS 2023 Convergence rates for localized actor-critic in networked Markov potential games UAI 2023 Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations NeurIPS 2023 Online switching control with stability and regret guarantees L4DC 2023 Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity NeurIPS 2022 Decentralized Online Convex Optimization in Networked Systems ICML 2022 Multi-Agent Reinforcement Learning in Stochastic Networked Systems NeurIPS 2021 Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems NeurIPS 2021 Online Optimization with Memory and Competitive Control NeurIPS 2020 Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward NeurIPS 2020 Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization NeurIPS 2019