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← Authors

Yanchao Sun

23 papers · 2020–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ πŸƒ Academic Marathon (5) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12)
🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (36) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam πŸ‘₯ Mega-Team (24) 🀝 Dynamic Duo (18) πŸ—ƒοΈ Keyword Collector (60) ❓ The Questioner (2) ⚑ Prolific Year (5) πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter

Conferences

ICLR (11) NIPS (6) AISTATS (2) AAAI (1) ICCV (1) ICML (1) NAACL (1)

Top co-authors

Furong Huang (18) Ruijie Zheng (9) Yongyuan Liang (5) Shuang Ma (4) Xiyao Wang (4) Yuancheng Xu (3) Xiangyu Liu (3) Jiulong Shan (2) Lichao Sun (2) Ratnesh Madaan (2)

Keywords

visual reinforcement learning (2) sample efficiency (2) representation learning (2) reinforcement learning (2) policy optimization (2) contrastive learning (1) image classification (1) neural network compression (1) benchmark evaluation (1) domain generalization (1) semi-supervised learning (1) multi-task learning (1) adversarial robustness (1) model security (1) multi-agent reinforcement learning (1) imitation learning (1) data poisoning (1) network architecture (1) zero-shot learning (1) deep reinforcement learning (1)

Papers

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains NAACL 2025 TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights ICLR 2025 Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory AISTATS 2025 Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies ICLR 2024 Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models NIPS 2024 Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate ICML 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024 Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations ICLR 2024 Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL ICLR 2024 Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness ICLR 2023 Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training ICCV 2023 Learning Generalizable Agents via Saliency-guided Features Decorrelation NIPS 2023 $\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NIPS 2023 Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication ICLR 2023 SMART: Self-supervised Multi-task pretrAining with contRol Transformers ICLR 2023 Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL ICLR 2022 Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach NIPS 2022 Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning NIPS 2022 Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NIPS 2022 Transfer RL across Observation Feature Spaces via Model-Based Regularization ICLR 2022 Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics ICLR 2021 TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL AAAI 2021 Understanding Generalization in Deep Learning via Tensor Methods AISTATS 2020