| 2025 | IJCNLP | LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective. | Ruosi Shao, Md Shamim Seraj, Kangyi Zhao, Yingtao Luo, Lincan Li, Bolin Shen, Averi Bates, Yue Zhao, Chongle Pan, Lisa Hightow-Weidman, Shayok Chakraborty, Yushun Dong |
| 2025 | KDD | Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. | Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun |
| 2025 | KDD | Fairness without Demographics through Learning Graph of Gradients. | Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu |
| 2024 | ICML | Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning. | Jannik Deuschel, Caleb Ellington, Yingtao Luo, Benjamin J. Lengerich, Pascal Friederich, Eric P. Xing |
| 2024 | ICML | BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. | Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun |
| 2023 | CIKM | AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. | Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim |
| 2023 | KDD | Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. | Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu |
| 2022 | ICDM | Deep Stable Representation Learning on Electronic Health Records. | Yingtao Luo, Zhaocheng Liu, Qiang Liu |
| 2022 | KDD | Learning Differential Operators for Interpretable Time Series Modeling. | Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian |
| 2021 | WWW | STAN: Spatio-Temporal Attention Network for Next Location Recommendation. | Yingtao Luo, Qiang Liu, Zhaocheng Liu |