Link Prediction With Personalized Social Influence. - Zepeng Huo; Xiao Huang 001; Xia Hu 001 (AAAI, 2018)

Predicting the meal macronutrient composition from continuous glucose monitors. - Zepeng Huo; Bobak J. Mortazavi; Theodora Chaspari; Nicolaas E. P. Deutz; Laura Ruebush; Ricardo Gutierrez-Osuna (BHI, 2019)

Sparse Embedding for Interpretable Hospital Admission Prediction. - Zepeng Huo; Harinath Sundararajhan; Nathan C. Hurley; Adrian D. Haimovich; R. Andrew Taylor; Bobak J. Mortazavi (EMBC, 2019)

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. - Zepeng Huo; Arash Pakbin; Xiaohan Chen; Nathan C. Hurley; Ye Yuan 012; Xiaoning Qian; Zhangyang Wang; Shuai Huang 001; Bobak Mortazavi (AISTATS, 2020)

Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. - Zepeng Huo; Lida Zhang; Rohan Khera; Shuai Huang 001; Xiaoning Qian; Zhangyang Wang; Bobak J. Mortazavi (BHI, 2021)

Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. - Zepeng Huo; Taowei Ji; Yifei Liang; Shuai Huang 001; Zhangyang Wang; Xiaoning Qian; Bobak Mortazavi (ICASSP, 2022)

VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. - Randy Ardywibowo; Zepeng Huo; Zhangyang Wang; Bobak J. Mortazavi; Shuai Huang 001; Xiaoning Qian (ICML, 2022)

Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. - Zepeng Huo; Xiaoning Qian; Shuai Huang 001; Zhangyang Wang; Bobak J. Mortazavi (MLHC, 2022)

INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms. - Shih-Cheng Huang; Zepeng Huo; Ethan Steinberg; Chia-Chun Chiang; Curtis P. Langlotz; Matthew P. Lungren; Serena Yeung; Nigam Shah; Jason Alan Fries (NeurIPS, 2023)

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis. - Shih-Cheng Huang; Zepeng Huo; Ethan Steinberg; Chia-Chun Chiang; Matthew P. Lungren; Curtis P. Langlotz; Serena Yeung; Nigam H. Shah; Jason A. Fries (CoRR, 2023)

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. - Scott L. Fleming; Alejandro Lozano; William J. Haberkorn; Jenelle A. Jindal; Eduardo Pontes Reis; Rahul Thapa; Louis Blankemeier; Julian Z. Genkins; Ethan Steinberg; Ashwin Nayak 002; Birju S. Patel; Chia-Chun Chiang; et al. (AAAI, 2024)

Merlin: A Vision Language Foundation Model for 3D Computed Tomography. - Louis Blankemeier; Joseph Paul Cohen; Ashwin Kumar; Dave Van Veen; Syed Jamal Safdar Gardezi; Magdalini Paschali; Zhihong Chen; Jean-Benoit Delbrouck; Eduardo Pontes Reis; Cesar Truyts; Christian Bluethgen; Malte Engmann Kjeldskov Jensen; et al. (CoRR, 2024)

Time-to-Event Pretraining for 3D Medical Imaging. - Zepeng Frazier Huo; Jason Alan Fries; Alejandro Lozano; Jeya Maria Jose Valanarasu; Ethan Steinberg; Louis Blankemeier; Akshay S. Chaudhari; Curtis P. Langlotz; Nigam Shah (ICLR, 2025)