Yihang Yao
10 papers · 2023–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (11) π Renaissance Researcher (6)
πΊοΈ
Taxonomy Completionist
(16)
π
Keyword Champion
(2)
π
Triple Crown
Conferences
ACL (3)
ICML (3)
NIPS (2)
ICLR (1)
L4DC (1)
Top co-authors
Keywords
safe reinforcement learning
(5)
constraint satisfaction
(3)
policy optimization
(2)
multi-objective optimization
(2)
variational inference
(2)
offline reinforcement learning
(2)
zero-shot adaptation
(2)
large language model
(2)
robust reinforcement learning
(1)
ai safety
(1)
safety alignment
(1)
distribution shift
(1)
off-policy learning
(1)
diffusion model
(1)
supervised fine-tuning
(1)
decision transformer
(1)
data distribution
(1)
jailbreak attack
(1)
lagrangian method
(1)
policy distribution
(1)
Papers
Tailored Primitive Initialization is the Secret Key to Reinforcement Learning
ACL 2026
Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training
ACL 2025
Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety
ACL 2025
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
ICML 2024
Learning from Sparse Offline Datasets via Conservative Density Estimation
ICLR 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
NIPS 2024
Gradient shaping for multi-constraint safe reinforcement learning
L4DC 2024
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
ICML 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
NIPS 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning
ICML 2023