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Zhepeng Cen

Vehicle Trajectory Prediction Using Intention-based Conditional Variational Autoencoder
2019 · Xidong Feng, Zhepeng Cen, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 58
Constrained Variational Policy Optimization for Safe Reinforcement Learning
2022 · Liu, Zuxin, Cen, Zhepeng, et al. · arXiv (Cornell University) · 36
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Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
2022 · Xu, Mengdi, Liu, Zuxin, et al. · arXiv (Cornell University) · 22
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Constrained Decision Transformer for Offline Safe Reinforcement Learning
2023 · Liu, Zuxin, Guo, Zijian, et al. · arXiv (Cornell University) · 18
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On the Robustness of Safe Reinforcement Learning under Observational Perturbations
2022 · Liu, Zuxin, Guo, Zijian, et al. · arXiv (Cornell University) · 14
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Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS)
2022 · Mansur Arief, Zhepeng Cen, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 8
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora
2020 · Hancheng Cao, Mengjie Cheng, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 8
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Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
2023 · Yihang Yao, Zuxin Liu, et al. · neural information processing systems · 7
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Datasets and Benchmarks for Offline Safe Reinforcement Learning
2023 · Liu, Zuxin, Guo, Zijian, et al. · arXiv (Cornell University) · 6
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Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety
2025 · Yuyou Zhang, Miao Li, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 5
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OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
2024 · Yihang Yao, Zhepeng Cen, et al. · neural information processing systems · 3
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Gradient Shaping for Multi-Constraint Safe Reinforcement Learning
2023 · Yao, Yihang, Liu, Zuxin, et al. · arXiv (Cornell University) · 3
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Feasibility Consistent Representation Learning for Safe Reinforcement Learning
2024 · Cen, Zhepeng, Yao, Yihang, et al. · arXiv (Cornell University) · 1
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Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling
2022 · Arief, Mansur, Cen, Zhepeng, et al. · arXiv (Cornell University) · 1
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Critical-State RL: Diagnosing Trainable States for Multi-Turn Tool Use
2026 · Chen, Zixiang, Zhao, Wenting, et al. · arXiv (Cornell University)
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Salesforce Koa: An Enterprise Language Model for Agentic Tool Use
2026 · Chen, Zixiang, Niu, Sufeng, et al. · arXiv (Cornell University)
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Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
2026 · Yao, Yihang, Cen, Zhepeng, et al. · arXiv (Cornell University)
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LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering
2025 · Qiu, Jielin, Liu, Zuxin, et al. · arXiv (Cornell University)
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Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels
2025 · Cen, Zhepeng, Chen, Haolin, et al. · arXiv (Cornell University)
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Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework
2025 · Han, William, Duan, Chaojing, et al. · arXiv (Cornell University)
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Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training
2025 · Yihang Yao, Zhepeng Cen, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Behavior Injection: Preparing Language Models for Reinforcement Learning
2025 · Zhepeng Cen, Yihang Yao, et al. · neural information processing systems
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Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
2024 · Cen, Zhepeng, Liu, Yao, et al. · arXiv (Cornell University)
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Learning from Sparse Offline Datasets via Conservative Density Estimation
2024 · Cen, Zhepeng, Liu, Zuxin, et al. · arXiv (Cornell University)
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Works count: 26
Citation count: 190
H-index: 7
I10-index: 5
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