| 2025 | ACL | Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation. | Hanyin Wang, Chufan Gao, Bolun Liu, Qiping Xu, Guleid Hussein, Mohamad El Labban, Kingsley Iheasirim, Hariprasad Reddy Korsapati, Chuck Outcalt, Jimeng Sun |
| 2025 | EMNLP | Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise. | Hanyin Wang, Chufan Gao, Qiping Xu, Bolun Liu, Guleid Hussein, Hariprasad Reddy Korsapati, Mohamad El Labban, Kingsley Iheasirim, Mohamed Hassan, Gokhan Anil, Brian Bartlett, Jimeng Sun |
| 2024 | ACL | TTM-RE: Memory-Augmented Document-Level Relation Extraction. | Chufan Gao, Xuan Wang, Jimeng Sun |
| 2024 | IJCAI | MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. | Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun |
| 2020 | AAAI | Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). | Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski |
| 2020 | AAAI | Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract). | Shimeng Peng, Lujie Chen, Chufan Gao, Richard Jiarui Tong |