Yihang Yao - RankMe

28 papers A* 6A 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Encoder-Free ECG-Language Models. CoRR William Han, Tony Chen, Chaojing Duan, Xiaoyu Song, Yihang Yao, Yuzhe Yang, Michael A. Rosenberg, Emerson Liu, Ding Zhao
2026	J	`jnl`	Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization. CoRR Yihang Yao, Zhepeng Cen, Haohong Lin, Shiqi Liu, Zuxin Liu, Jiacheng Zhu, Zhang-Wei Hong, Laixi Shi, Ding Zhao
2025	J	`jnl`	Behavior Injection: Preparing Language Models for Reinforcement Learning. CoRR Zhepeng Cen, Yihang Yao, William Han, Zuxin Liu, Ding Zhao
2025	J	`jnl`	CrashAgent: Crash Scenario Generation via Multi-modal Reasoning. CoRR Miao Li, Wenhao Ding, Haohong Lin, Yiqi Lyu, Yihang Yao, Yuyou Zhang, Ding Zhao
2025	A	`conf`	QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment. IROS Yuyou Zhang, Yihang Yao, Shiqi Liu, Yaru Niu, Changyi Lin, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2025	J	`jnl`	QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment. CoRR Yuyou Zhang, Yihang Yao, Shiqi Liu, Yaru Niu, Changyi Lin, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2025	—	`conf`	Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety. ACL (Findings) Yuyou Zhang, Miao Li, William Han, Yihang Yao, Zhepeng Cen, Ding Zhao
2025	J	`jnl`	Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety. CoRR Yuyou Zhang, Miao Li, William Han, Yihang Yao, Zhepeng Cen, Ding Zhao
2025	J	`jnl`	Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework. CoRR William Han, Chaojing Duan, Zhepeng Cen, Yihang Yao, Xiaoyu Song, Atharva Mhaskar, Dylan Leong, Michael A. Rosenberg, Emerson Liu, Ding Zhao
2025	J	`jnl`	Tailored Primitive Initialization is the Secret Key to Reinforcement Learning. CoRR Yihang Yao, Guangtao Zeng, Raina Wu, Yang Zhang, Ding Zhao, Zhang-Wei Hong, Chuang Gan
2025	—	`conf`	Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training. ACL (Findings) Yihang Yao, Zhepeng Cen, Miao Li, William Han, Yuyou Zhang, Emerson Liu, Zuxin Liu, Chuang Gan, Ding Zhao
2025	J	`jnl`	Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training. CoRR Yihang Yao, Zhepeng Cen, Miao Li, William Han, Yuyou Zhang, Emerson Liu, Zuxin Liu, Chuang Gan, Ding Zhao
2024	J	`jnl`	Datasets and Benchmarks for Offline Safe Reinforcement Learning. J. Data-centric Mach. Learn. Res. Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2024	A*	`conf`	Feasibility Consistent Representation Learning for Safe Reinforcement Learning. ICML Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao
2024	J	`jnl`	Feasibility Consistent Representation Learning for Safe Reinforcement Learning. CoRR Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao
2024	—	`conf`	Gradient shaping for multi-constraint safe reinforcement learning. L4DC Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao
2024	A*	`conf`	Learning from Sparse Offline Datasets via Conservative Density Estimation. ICLR Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao
2024	J	`jnl`	Learning from Sparse Offline Datasets via Conservative Density Estimation. CoRR Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao
2024	A*	`conf`	OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. NeurIPS Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
2024	J	`jnl`	OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. CoRR Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
2023	J	`jnl`	An Integrated in Situ Image Acquisition and Annotation Scheme for Instance Segmentation Models in Open Scenes With a Human-Robot Interaction Approach. IEEE Trans. Hum. Mach. Syst. Liang Gong, Zhiyu Yang, Yihang Yao, Binhao Chen, Wenjie Wang, Xiaofeng Du, Yidong He, Chengliang Liu
2023	A*	`conf`	Constrained Decision Transformer for Offline Safe Reinforcement Learning. ICML Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023	J	`jnl`	Constrained Decision Transformer for Offline Safe Reinforcement Learning. CoRR Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023	A*	`conf`	Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. NeurIPS Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023	J	`jnl`	Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. CoRR Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023	J	`jnl`	Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2023	J	`jnl`	Gradient Shaping for Multi-Constraint Safe Reinforcement Learning. CoRR Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao
2023	A*	`conf`	Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. ICML Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao