Zhepeng Cen
12 papers · 2020–2025 · 6 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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πΊοΈ Taxonomy Completionist (25) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Triple Crown
π€
Dynamic Duo
(11)
π
Renaissance Researcher
(5)
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Trend Setter
π
Century Club Β· Bronze
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The Questioner
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Machine Learning
(7)
Reinforcement Learning
(7)
Methods
(7)
Learning Types
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Application Areas
(3)
Core Methods
(2)
Models
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications
(1)
Keywords
safe reinforcement learning
(7)
constraint satisfaction
(4)
offline reinforcement learning
(3)
policy optimization
(3)
variational inference
(3)
safety constraint
(2)
zero-shot adaptation
(2)
multi-objective optimization
(2)
large language model
(2)
policy learning
(2)
text mining
(1)
adversarial training
(1)
robust reinforcement learning
(1)
ai safety
(1)
conditional generation
(1)
probabilistic inference
(1)
trajectory analysis
(1)
data augmentation
(1)
distribution shift
(1)
knowledge transfer
(1)
Papers
Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety
ACL 2025
Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training
ACL 2025
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
ICML 2024
Gradient shaping for multi-constraint safe reinforcement learning
L4DC 2024
Learning from Sparse Offline Datasets via Conservative Density Estimation
ICLR 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
NeurIPS 2024
Constrained Decision Transformer for Offline Safe Reinforcement Learning
ICML 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
NeurIPS 2023
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
ICLR 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
ICML 2023
Constrained Variational Policy Optimization for Safe Reinforcement Learning
ICML 2022
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora
EMNLP 2020