Yongyuan Liang
15 papers · 2022–2026 · 5 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
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (12) π Grand Slam
π€
Dynamic Duo
(12)
ποΈ
Keyword Collector
(81)
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(13)
Core AI
(13)
Reinforcement Learning
(8)
Methods
(7)
Machine Learning
(5)
Learning Types Β· Machine Learning
(5)
Deep Learning
(3)
Robotics
(3)
Capabilities
(3)
Applications Β· Reinforcement Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Application Areas
(1)
Applications Β· Computer Science
(1)
Learning Types Β· Deep Learning
(1)
Keywords
reinforcement learning
(4)
continuous control
(4)
robot manipulation
(3)
adversarial perturbation
(3)
adversarial attack
(2)
policy network
(2)
few-shot learning
(1)
adversarial robustness
(1)
contrastive learning
(1)
robotic manipulation
(1)
game theory
(1)
direct preference optimization
(1)
in-context learning
(1)
multimodal learning
(1)
policy optimization
(1)
sample efficiency
(1)
adversarial training
(1)
visual grounding
(1)
visual reinforcement learning
(1)
data poisoning
(1)
Papers
TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos
CVPR 2026
WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation
CVPR 2026
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
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets
ICLR 2025
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
ICLR 2025
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
ICML 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
ICLR 2024
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
ICLR 2024
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
ICLR 2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
NeurIPS 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
ICML 2024
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
ICLR 2023
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
NeurIPS 2022
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
ICLR 2022