Yongyuan Liang
13 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5)
🧭
Keyword Pioneer
🤝
Dynamic Duo
(11)
👑
Triple Crown
🏆
Grand Slam
💎
Century Club
(13)
⚡
Prolific Year
(6)
❓
The Questioner
(2)
Conferences
ICLR (7)
ICML (2)
NIPS (2)
AAAI (1)
CVPR (1)
Top co-authors
Keywords
robot manipulation
(2)
adversarial robustness
(1)
few-shot learning
(1)
model security
(1)
data poisoning
(1)
policy optimization
(1)
direct preference optimization
(1)
multimodal learning
(1)
visual grounding
(1)
robust reinforcement learning
(1)
reinforcement learning from human feedback
(1)
backdoor attack
(1)
adversarial attack
(1)
diffusion model
(1)
adversarial perturbation
(1)
poisoning attack
(1)
foundation model
(1)
policy network
(1)
behavior embedding
(1)
trajectory information
(1)
Papers
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets
ICLR 2025
Is Poisoning a Real Threat to DPO? Maybe More So Than You Think
AAAI 2025
Magma: A Foundation Model for Multimodal AI Agents
CVPR 2025
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
ICLR 2025
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
ICLR 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
ICML 2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
NIPS 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
ICLR 2024
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
ICLR 2024
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
ICML 2024
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
ICLR 2023
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
ICLR 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
NIPS 2022