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ORCIDChufan Gao
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2020 – today
- 2024
[j1]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)- [c6]Chufan Gao, Xuan Wang, Jimeng Sun:
TTM-RE: Memory-Augmented Document-Level Relation Extraction. ACL (1) 2024: 443-458 - [c5]Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun:
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. IJCAI 2024: 6062-6070 - [i14]Chufan Gao, Nicholas Gisolfi, Artur Dubrawski:
Signal Quality Auditing for Time-series Data. CoRR abs/2402.00803 (2024) - [i13]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 abs/2405.00715 (2024) - [i12]Chufan Gao, Tianfan Fu, Jimeng Sun:
Language Interaction Network for Clinical Trial Approval Estimation. CoRR abs/2405.06662 (2024) - [i11]Chufan Gao, Xuan Wang, Jimeng Sun:
TTM-RE: Memory-Augmented Document-Level Relation Extraction. CoRR abs/2406.05906 (2024) - [i10]Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun:
Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark. CoRR abs/2406.10292 (2024) - [i9]Chufan Gao, Mandis Beigi, Afrah Shafquat, Jacob Aptekar, Jimeng Sun:
TrialSynth: Generation of Synthetic Sequential Clinical Trial Data. CoRR abs/2409.07089 (2024) - 2023
- [i8]Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun:
AnyPredict: Foundation Model for Tabular Prediction. CoRR abs/2305.12081 (2023) - [i7]Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun:
DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients. CoRR abs/2309.12625 (2023) - [i6]Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang:
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming. CoRR abs/2310.09265 (2023) - 2022
- [c4]Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski:
Classifying Unstructured Clinical Notes via Automatic Weak Supervision. MLHC 2022: 673-690 - [i5]Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski:
Classifying Unstructured Clinical Notes via Automatic Weak Supervision. CoRR abs/2206.12088 (2022) - [i4]Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun:
Artificial Intelligence for In Silico Clinical Trials: A Review. CoRR abs/2209.09023 (2022) - 2021
- [i3]Chufan Gao, Mononito Goswami:
The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming. CoRR abs/2108.10921 (2021) - [i2]Saswati Ray, Sana Lakdawala, Mononito Goswami, Chufan Gao:
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection. CoRR abs/2111.08082 (2021) - 2020
- [c3]Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski:
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). AAAI 2020: 13799-13800 - [c2]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: 13895-13896
2010 – 2019
- 2019
- [c1]Chufan Gao, Stephen Clark, Jacob Furst, Daniela Raicu:
Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection. Medical Imaging: Computer-Aided Diagnosis 2019: 109501K - [i1]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 abs/1911.05121 (2019)
Coauthor Index
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