Rui Song - RankMe

95 papers A* 26A 2Journal 61Unranked 6

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
2025	J	`jnl`	A Review of Causal Decision Making. CoRR Lin Ge, Hengrui Cai, Runzhe Wan, Yang Xu, Rui Song
2025	—	`conf`	Contextual Deep Reinforcement Learning with Adaptive Value-based Clustering. ICMLT Yuhe Gao, Runzhe Wan, Ioannis Giannakakis, Jinxiang Gu, Rui Song
2025	J	`jnl`	Continuous-Time Hidden Markov Factor Model for Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae. IEEE J. Biomed. Health Informatics Lin Ge, Xinming An, Donglin Zeng, Samuel A. McLean, Ronald C. Kessler, Rui Song
2025	J	`jnl`	Doubly Robust Uncertainty Quantification for Quantile Treatment Effects in Sequential Decision Making. Trans. Mach. Learn. Res. Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song
2025	—	`conf`	Dynamic Causal Structure Discovery and Causal Effect Estimation. KDD (1) Jianian Wang, Rui Song
2025	—	`conf`	Know When to Fold: Futility-Aware Early Termination in Online Experiments. WWW (Companion Volume) Yu Liu, Runzhe Wan, Yian Huang, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2025	A*	`conf`	Linear Contextual Bandits With Interference. ICML Yang Xu, Wenbin Lu, Rui Song
2025	—	`conf`	Multi-Task Combinatorial Bandits for Budget Allocation. KDD (1) Lin Ge, Yang Xu, Jianing Chu, David Cramer, Fuhong Li, Kelly Paulson, Rui Song
2025	J	`jnl`	Off-Policy Evaluation Under Nonignorable Missing Data. CoRR Han Wang, Yang Xu, Wenbin Lu, Rui Song
2025	A*	`conf`	Off-Policy Evaluation under Nonignorable Missing Data. ICML Han Wang, Yang Xu, Wenbin Lu, Rui Song
2025	—	`conf`	TSMO 2025: Two-sided Marketplace Optimization: Search, Discovery, Matching, Pricing & Growth. KDD (2) Mihajlo Grbovic, Vladan Radosavljevic, Amit Goyal, Rui Song, Minmin Chen, Zhiwei Qin, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Hongtu Zhu, Fabrizio Silvestri
2025	A*	`conf`	Zero-Inflated Bandits. ICML Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song
2024	J	`jnl`	A Review of Reinforcement Learning in Financial Applications. CoRR Yahui Bai, Yuhe Gao, Runzhe Wan, Sheng Zhang, Rui Song
2024	J	`jnl`	A crossword solving system based on Monte Carlo tree search. Artif. Intell. Jingping Liu, Lihan Chen, Sihang Jiang, Chao Wang, Sheng Zhang, Jiaqing Liang, Yanghua Xiao, Rui Song
2024	A*	`conf`	Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. AAAI Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2024	J	`jnl`	Is Knowledge All Large Language Models Needed for Causal Reasoning? CoRR Hengrui Cai, Shengjie Liu, Rui Song
2024	J	`jnl`	Linear Contextual Bandits with Interference. CoRR Yang Xu, Wenbin Lu, Rui Song
2024	J	`jnl`	Multi-Task Combinatorial Bandits for Budget Allocation. CoRR Lin Ge, Yang Xu, Jianing Chu, David Cramer, Fuhong Li, Kelly Paulson, Rui Song
2024	A*	`conf`	Online Posterior Sampling with a Diffusion Prior. NeurIPS Branislav Kveton, Boris Oreshkin, Youngsuk Park, Aniket Deshmukh, Rui Song
2024	J	`jnl`	Online Posterior Sampling with a Diffusion Prior. CoRR Branislav Kveton, Boris Oreshkin, Youngsuk Park, Aniket Deshmukh, Rui Song
2023	A*	`conf`	A Reinforcement Learning Framework for Dynamic Mediation Analysis. ICML Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song
2023	J	`jnl`	A Reinforcement Learning Framework for Dynamic Mediation Analysis. CoRR Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song
2023	A*	`conf`	An Instrumental Variable Approach to Confounded Off-Policy Evaluation. ICML Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song
2023	J	`jnl`	Deep Spectral Q-learning with Application to Mobile Health. CoRR Yuhe Gao, Chengchun Shi, Rui Song
2023	J	`jnl`	Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. CoRR Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2023	A*	`conf`	Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. KDD Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
2023	J	`jnl`	Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. CoRR Runzhe Wan, Yu Liu, James McQueen, Doug Hains, 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`	KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. KDD Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan
2023	J	`jnl`	Large Language Model for Causal Decision Making. CoRR Haitao Jiang, Lin Ge, Yuhe Gao, Jianian Wang, Rui Song
2023	A*	`conf`	Multiplier Bootstrap-based Exploration. ICML Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song
2023	J	`jnl`	Multiplier Bootstrap-based Exploration. CoRR Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song
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	A	`conf`	Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework. AISTATS Runzhe Wan, Lin Ge, Rui Song
2023	J	`jnl`	Zero-Inflated Bandits. CoRR Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song
2022	J	`jnl`	A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. CoRR Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu
2022	J	`jnl`	A Probit Tensor Factorization Model For Relational Learning. J. Comput. Graph. Stat. Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao
2022	J	`jnl`	An Instrumental Variable Approach to Confounded Off-Policy Evaluation. CoRR Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song
2022	A*	`conf`	Crossword Puzzle Resolution via Monte Carlo Tree Search. ICAPS Lihan Chen, Jingping Liu, Sihang Jiang, Chao Wang, Jiaqing Liang, Yanghua Xiao, Sheng Zhang, Rui Song
2022	A*	`conf`	Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. KDD Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
2022	J	`jnl`	Heterogeneous Synthetic Learner for Panel Data. CoRR Ye Shen, Runzhe Wan, Hengrui Cai, Rui Song
2022	J	`jnl`	KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. SIGKDD Explor. Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
2022	J	`jnl`	Learning a deep dual-level network for robust DeepFake detection. Pattern Recognit. Wenbo Pu, Jing Hu, Xin Wang, Yuezun Li, Shu Hu, Bin Zhu, Rui Song, Qi Song, Xi Wu, Siwei Lyu
2022	J	`jnl`	Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies. CoRR Runzhe Wan, Yingying Li, Wenbin Lu, Rui Song
2022	J	`jnl`	Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process. CoRR Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song
2022	J	`jnl`	On Learning and Testing of Counterfactual Fairness through Data Preprocessing. CoRR Haoyu Chen, Wenbin Lu, Rui Song, Pulak Ghosh
2022	J	`jnl`	Quantile Off-Policy Evaluation via Deep Conditional Generative Learning. CoRR Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song
2022	J	`jnl`	Reinforcement Learning with Heterogeneous Data: Estimation and Inference. CoRR Elynn Y. Chen, Rui Song, Michael I. Jordan
2022	J	`jnl`	Rule Mining over Knowledge Graphs via Reinforcement Learning. CoRR Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song
2022	J	`jnl`	Rule mining over knowledge graphs via reinforcement learning. Knowl. Based Syst. Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song
2022	A*	`conf`	Safe Exploration for Efficient Policy Evaluation and Comparison. ICML Runzhe Wan, Branislav Kveton, Rui Song
2022	J	`jnl`	Safe Exploration for Efficient Policy Evaluation and Comparison. CoRR Runzhe Wan, Branislav Kveton, Rui Song
2022	J	`jnl`	Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons. CoRR Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
2022	J	`jnl`	Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework. CoRR Runzhe Wan, Lin Ge, Rui Song
2021	J	`jnl`	A Probit Tensor Factorization Model For Relational Learning. CoRR Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao
2021	J	`jnl`	A Review on Graph Neural Network Methods in Financial Applications. CoRR Jianian Wang, Sheng Zhang, Yanghua Xiao, 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`	An Online Sequential Test for Qualitative Treatment Effects. J. Mach. Learn. Res. Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
2021	A*	`conf`	Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings. NeurIPS Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
2021	A*	`conf`	Deeply-Debiased Off-Policy Interval Estimation. ICML Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song
2021	J	`jnl`	Deeply-Debiased Off-Policy Interval Estimation. CoRR Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song
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	A*	`conf`	Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models. NeurIPS Runzhe Wan, Lin Ge, Rui Song
2021	J	`jnl`	Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models. CoRR Runzhe Wan, Lin Ge, Rui Song
2021	A*	`conf`	Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control. KDD Runzhe Wan, Xinyu Zhang, Rui Song
2021	A*	`conf`	Online Testing of Subgroup Treatment Effects Based on Value Difference. ICDM Miao Yu, Wenbin Lu, Rui Song
2021	J	`jnl`	Pattern Transfer Learning for Reinforcement Learning in Order Dispatching. CoRR Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song
2021	J	`jnl`	Periodic-GP: Learning Periodic World with Gaussian Process Bandits. CoRR Hengrui Cai, Zhihao Cen, Ling Leng, Rui Song
2020	A*	`conf`	A New Framework for Online Testing of Heterogeneous Treatment Effect. AAAI Miao Yu, Wenbin Lu, Rui Song
2020	J	`jnl`	A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing. CoRR Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye
2020	J	`jnl`	Breaking the Curse of Nonregularity with Subagging - Inference of the Mean Outcome under Optimal Treatment Regimes. J. Mach. Learn. Res. Chengchun Shi, Wenbin Lu, Rui Song
2020	A*	`conf`	Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health. ICML Liangyu Zhu, Wenbin Lu, Rui Song
2020	J	`jnl`	DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis. ACM Trans. Intell. Syst. Technol. Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo
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`	Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. ICML Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
2020	J	`jnl`	Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. CoRR Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
2020	A*	`conf`	Kernel Assisted Learning for Personalized Dose Finding. KDD Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song
2020	—	`conf`	Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning. EMNLP (1) Ye Liu, Sheng Zhang, Rui Song, Suo Feng, Yanghua Xiao
2020	J	`jnl`	Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning. CoRR Ye Liu, Sheng Zhang, Rui Song, Suo Feng, Yanghua Xiao
2020	J	`jnl`	Multi-Objective Reinforcement Learning for Infectious Disease Control with Application to COVID-19 Spread. CoRR Runzhe Wan, Xinyu Zhang, Rui Song
2020	A*	`conf`	On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies. ICML Hengrui Cai, Wenbin Lu, Rui Song
2020	J	`jnl`	Statistical Inference for Online Decision Making via Stochastic Gradient Descent. CoRR Haoyu Chen, Wenbin Lu, Rui Song
2020	J	`jnl`	Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting. CoRR Haoyu Chen, Wenbin Lu, Rui Song
2020	J	`jnl`	Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings. CoRR Chengchun Shi, Sheng Zhang, Wenbin Lu, Rui Song
2019	J	`jnl`	Determining the Number of Latent Factors in Statistical Multi-Relational Learning. J. Mach. Learn. Res. Chengchun Shi, Wenbin Lu, Rui Song
2019	A	`conf`	Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. SDM Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo
2017	J	`jnl`	Principal components adjusted variable screening. Comput. Stat. Data Anal. Zhongkai Liu, Rui Song, Donglin Zeng, Jiajia Zhang
2017	J	`jnl`	Sparse Concordance-assisted Learning for Optimal Treatment Decision. J. Mach. Learn. Res. Shuhan Liang, Wenbin Lu, Rui Song, Lan Wang
2014	J	`jnl`	Sure Screening for Gaussian Graphical Models. CoRR Shikai Luo, Rui Song, Daniela M. Witten
2012	J	`jnl`	Integrative prescreening in analysis of multiple cancer genomic studies. BMC Bioinform. Rui Song, Jian Huang, Shuangge Ma