Chufan Gao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Dynamic Behaviors

Clinical Trials

Relation Extraction

Top Venues

Publications

Hanyin Wang, Chufan Gao, Bolun Liu, Qiping Xu, Guleid Hussein, Mohamad El Labban, Kingsley Iheasirim, Hariprasad Korsapati, Chuck Outcalt, Jimeng Sun
Adapting Open-Source Large Language Models for Cost-Effective, Expert-Level Clinical Note Generation with On-Policy Reinforcement Learning. CoRR (2024)
Chufan Gao, Tianfan Fu, Jimeng Sun
Language Interaction Network for Clinical Trial Approval Estimation. CoRR (2024)
Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun
Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark. CoRR (2024)
Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun
DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients. npj Digit. Medicine 7 (1) (2024)
Chufan Gao, Nicholas Gisolfi, Artur Dubrawski
Signal Quality Auditing for Time-series Data. CoRR (2024)
Chufan Gao, Xuan Wang, Jimeng Sun
TTM-RE: Memory-Augmented Document-Level Relation Extraction. CoRR (2024)
Chufan Gao, Xuan Wang, Jimeng Sun
TTM-RE: Memory-Augmented Document-Level Relation Extraction. ACL (1) (2024)
Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun
DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients. CoRR (2023)
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
AnyPredict: Foundation Model for Tabular Prediction. CoRR (2023)
Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming. CoRR (2023)
Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski
Classifying Unstructured Clinical Notes via Automatic Weak Supervision. MLHC (2022)
Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski
Classifying Unstructured Clinical Notes via Automatic Weak Supervision. CoRR (2022)
Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun
Artificial Intelligence for In Silico Clinical Trials: A Review. CoRR (2022)
Saswati Ray, Sana Lakdawala, Mononito Goswami, Chufan Gao
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection. CoRR (2021)
Chufan Gao, Mononito Goswami
The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming. CoRR (2021)
Shimeng Peng, Lujie Chen, Chufan Gao, Richard Jiarui Tong
Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract). AAAI (2020)
Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). AAAI (2020)
Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. CoRR (2019)
Chufan Gao, Stephen Clark, Jacob D. Furst, Daniela Raicu
Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection. Medical Imaging: Computer-Aided Diagnosis (2019)