| 2025 | ICLR | Efficient Causal Decision Making with One-sided Feedback. | Jianing Chu, Shu Yang, Wenbin Lu, Pulak Ghosh |
| 2025 | ICML | Linear Contextual Bandits With Interference. | Yang Xu, Wenbin Lu, Rui Song |
| 2025 | ICML | Off-Policy Evaluation under Nonignorable Missing Data. | Han Wang, Yang Xu, Wenbin Lu, Rui Song |
| 2023 | ICML | Multiply Robust Off-policy Evaluation and Learning under Truncation by Death. | Jianing Chu, Shu Yang, Wenbin Lu |
| 2022 | CLUSTER | Bring the BitCODE-Moving Compute and Data in Distributed Heterogeneous Systems. | Wenbin Lu, Luis E. Pea, Pavel Shamis, Valentin Churavy, Barbara M. Chapman, Steve Poole |
| 2021 | ICDM | Online Testing of Subgroup Treatment Effects Based on Value Difference. | Miao Yu, Wenbin Lu, Rui Song |
| 2021 | ICLR | ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning. | Hengrui Cai, Rui Song, Wenbin Lu |
| 2020 | AAAI | A New Framework for Online Testing of Heterogeneous Treatment Effect. | Miao Yu, Wenbin Lu, Rui Song |
| 2020 | ICML | On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies. | Hengrui Cai, Wenbin Lu, Rui Song |
| 2020 | ICML | Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. | Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng |
| 2020 | ICML | Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health. | Liangyu Zhu, Wenbin Lu, Rui Song |
| 2020 | KDD | Kernel Assisted Learning for Personalized Dose Finding. | Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song |
| 2020 | SC | Checkpointing OpenSHMEM Programs Using Compiler Analysis. | Md Abdullah Shahneous Bari, Debasmita Basu, Wenbin Lu, Tony Curtis, Barbara M. Chapman |
| 2019 | SC | Enabling Low-Overhead Communication in Multi-threaded OpenSHMEM Applications using Contexts. | Wenbin Lu, Tony Curtis, Barbara M. Chapman |