Chufan Gao

According to our database, Chufan Gao authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients.

Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun

npj Digit. Medicine, 2024

TrialSynth: Generation of Synthetic Sequential Clinical Trial Data.

Chufan Gao, Mandis Beigi, Afrah Shafquat, Jacob Aptekar, Jimeng Sun

CoRR, 2024

Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark.

Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun

CoRR, 2024

Language Interaction Network for Clinical Trial Approval Estimation.

Chufan Gao, Tianfan Fu, Jimeng Sun

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

CoRR, 2024

Signal Quality Auditing for Time-series Data.

Chufan Gao, Nicholas Gisolfi, Artur Dubrawski

CoRR, 2024

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement.

Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

TTM-RE: Memory-Augmented Document-Level Relation Extraction.

Chufan Gao, Xuan Wang, Jimeng Sun

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming.

Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang

CoRR, 2023

AnyPredict: Foundation Model for Tabular Prediction.

Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun

CoRR, 2023

2022

Artificial Intelligence for In Silico Clinical Trials: A Review.

Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun

CoRR, 2022

Classifying Unstructured Clinical Notes via Automatic Weak Supervision.

Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2022

2021

Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection.

Saswati Ray, Sana Lakdawala, Mononito Goswami, Chufan Gao

CoRR, 2021

The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming.

Chufan Gao, Mononito Goswami

CoRR, 2021

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract).

Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection.

Chufan Gao, Stephen Clark, Jacob Furst, Daniela Raicu

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019