Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection. - Chufan Gao; Stephen Clark; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2019)

Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. - Chufan Gao; Fabian Falck; Mononito Goswami; Anthony Wertz; Michael R. Pinsky; Artur Dubrawski (CoRR, 2019)

Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). - Mononito Goswami; Lujie Chen; Chufan Gao; Artur Dubrawski (AAAI, 2020)

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 (AAAI, 2020)

The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming. - Chufan Gao; Mononito Goswami (CoRR, 2021)

Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection. - Saswati Ray; Sana Lakdawala; Mononito Goswami; Chufan Gao (CoRR, 2021)

Classifying Unstructured Clinical Notes via Automatic Weak Supervision. - Chufan Gao; Mononito Goswami; Jieshi Chen; Artur Dubrawski (MLHC, 2022)

Artificial Intelligence for In Silico Clinical Trials: A Review. - Zifeng Wang 008; Chufan Gao; Lucas M. Glass; Jimeng Sun 001 (CoRR, 2022)

AnyPredict: Foundation Model for Tabular Prediction. - Zifeng Wang 008; Chufan Gao; Cao Xiao; Jimeng Sun 001 (CoRR, 2023)

PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming. - Chufan Gao; Xulin Fan; Jimeng Sun 001; Xuan Wang 008 (CoRR, 2023)

TTM-RE: Memory-Augmented Document-Level Relation Extraction. - Chufan Gao; Xuan Wang 008; Jimeng Sun 001 (ACL (1), 2024)

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. - Zifeng Wang 008; Chufan Gao; Cao Xiao; Jimeng Sun 001 (IJCAI, 2024)

Signal Quality Auditing for Time-series Data. - Chufan Gao; Nicholas Gisolfi; Artur Dubrawski (CoRR, 2024)

Adapting Open-Source Large Language Models for Cost-Effective, Expert-Level Clinical Note Generation with On-Policy Reinforcement Learning. - Hanyin Wang; Chufan Gao; Bolun Liu; Qiping Xu; Guleid Hussein; Mohamad El Labban; Kingsley Iheasirim; Hariprasad Korsapati; Chuck Outcalt; Jimeng Sun 001 (CoRR, 2024)

Language Interaction Network for Clinical Trial Approval Estimation. - Chufan Gao; Tianfan Fu; Jimeng Sun 001 (CoRR, 2024)

Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark. - Chufan Gao; Jathurshan Pradeepkumar; Trisha Das; Shivashankar Thati; Jimeng Sun 001 (CoRR, 2024)

TrialSynth: Generation of Synthetic Sequential Clinical Trial Data. - Chufan Gao; Mandis Beigi; Afrah Shafquat; Jacob Aptekar; Jimeng Sun 001 (CoRR, 2024)

DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients. - Hanyin Wang; Chufan Gao; Christopher Dantona; Bryan Hull; Jimeng Sun 001 (npj Digit. Medicine, 2024)

CTO Dataset: A Clinical Trial Outcome Benchmark. - Chufan Gao; Jathurshan Pradeepkumar; Trisha Das; Shivashankar Thati; Jimeng Sun 001 (Zenodo, 2024)

CTO Dataset: A Clinical Trial Outcome Benchmark. - Chufan Gao; Jathurshan Pradeepkumar; Trisha Das; Shivashankar Thati; Jimeng Sun 001 (Zenodo, 2024)

CTO Dataset: A Clinical Trial Outcome Benchmark. - Chufan Gao; Jathurshan Pradeepkumar; Trisha Das; Shivashankar Thati; Jimeng Sun 001 (Zenodo, 2024)

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 001 (ACL (Findings), 2025)