Hengrui Cai - RankMe

30 papers A* 6Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PABU: Progress-Aware Belief Update for Efficient LLM Agents. CoRR Haitao Jiang, Lin Ge, Hengrui Cai, Rui Song
2026	J	`jnl`	Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models. CoRR Haitao Jiang, Wenbo Zhang, Jiarui Yao, Hengrui Cai, Sheng Wang, Rui Song
2025	J	`jnl`	A Review of Causal Decision Making. CoRR Lin Ge, Hengrui Cai, Runzhe Wan, Yang Xu, Rui Song
2025	J	`jnl`	Beyond the Singular: The Essential Role of Multiple Generations in Effective Benchmark Evaluation and Analysis. CoRR Wenbo Zhang, Hengrui Cai, Wenyu Chen
2025	J	`jnl`	Correct Reasoning Paths Visit Shared Decision Pivots. CoRR Dongkyu Cho, Amy B. Z. Zhang, Bilel Fehri, Sheng Wang, Rumi Chunara, Rui Song, Hengrui Cai
2025	J	`jnl`	Foresighted Online Policy Optimization with Interference. CoRR Liner Xiang, Jiayi Wang, Hengrui Cai
2025	—	`conf`	Recognizing Limits: Investigating Infeasibility in Large Language Models. EMNLP (Findings) Wenbo Zhang, Zihang Xu, Hengrui Cai
2025	J	`jnl`	Text Rationalization for Robust Causal Effect Estimation. CoRR Lijinghua Zhang, Hengrui Cai
2025	J	`jnl`	Where to Intervene: Action Selection in Deep Reinforcement Learning. CoRR Wenbo Zhang, Hengrui Cai
2025	J	`jnl`	Where to Intervene: Action Selection in Deep Reinforcement Learning. Trans. Mach. Learn. Res. Wenbo Zhang, Hengrui Cai
2024	J	`jnl`	Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference. CoRR Hengrui Cai, Huaqing Jin, Lexin Li
2024	J	`jnl`	Defining Boundaries: A Spectrum of Task Feasibility for Large Language Models. CoRR Wenbo Zhang, Zihang Xu, Hengrui Cai
2024	J	`jnl`	Is Knowledge All Large Language Models Needed for Causal Reasoning? CoRR Hengrui Cai, Shengjie Liu, Rui Song
2023	J	`jnl`	Jump Interval-Learning for Individualized Decision Making with Continuous Treatments. J. Mach. Learn. Res. Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
2023	A*	`conf`	On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs. ICML Richard A. Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song
2023	J	`jnl`	On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs. CoRR Richard A. Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song
2023	A*	`conf`	On Learning Necessary and Sufficient Causal Graphs. NeurIPS Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song
2023	J	`jnl`	On Learning Necessary and Sufficient Causal Graphs. CoRR Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song
2023	J	`jnl`	Sequential Knockoffs for Variable Selection in Reinforcement Learning. CoRR Tao Ma, Hengrui Cai, Zhengling Qi, Chengchun Shi, Eric B. Laber
2023	A*	`conf`	Towards Trustworthy Explanation: On Causal Rationalization. ICML Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai
2023	J	`jnl`	Towards Trustworthy Explanation: On Causal Rationalization. CoRR Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai
2022	J	`jnl`	Heterogeneous Synthetic Learner for Panel Data. CoRR Ye Shen, Runzhe Wan, Hengrui Cai, Rui Song
2021	A*	`conf`	ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning. ICLR Hengrui Cai, Rui Song, Wenbin Lu
2021	J	`jnl`	CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search. CoRR Hengrui Cai, Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, Lingkang Huang
2021	A*	`conf`	Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings. NeurIPS Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
2021	J	`jnl`	Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning. CoRR Hengrui Cai, Ye Shen, Rui Song
2021	J	`jnl`	Jump Interval-Learning for Individualized Decision Making. CoRR Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
2021	J	`jnl`	Periodic-GP: Learning Periodic World with Gaussian Process Bandits. CoRR Hengrui Cai, Zhihao Cen, Ling Leng, Rui Song
2020	J	`jnl`	Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space. CoRR Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
2020	A*	`conf`	On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies. ICML Hengrui Cai, Wenbin Lu, Rui Song