| 2026 | EACL | ClinicalTrialsHub: Bridging Registries and Literature for Comprehensive Clinical Trial Access. | Jiwoo Park, Ruoqi Liu, Avani Jagdale, Andrew Srisuwananukorn, Jing Zhao, Ping Zhang, Sachin Kumar |
| 2025 | KDD | A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data. | Seungyeon Lee, Ruoqi Liu, Feixiong Cheng, Ping Zhang |
| 2024 | AAAI | KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. | Ruoqi Liu, Lingfei Wu, Ping Zhang |
| 2024 | CVPR | MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. | Xiang Yue, Yuansheng Ni, Tianyu Zheng, Kai Zhang, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen |
| 2023 | ICDM | Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder. | Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang |
| 2022 | KDD | Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. | Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang |
| 2020 | GLOBECOM | Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks. | Ruoqi Liu, Xuanlin Liu, Sihua Wang, Changchuan Yin |
| 2020 | ICDM | Estimating Individual Treatment Effects with Time-Varying Confounders. | Ruoqi Liu, Changchang Yin, Ping Zhang |
| 2020 | KDD | Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. | Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang |