Zepeng Huo

According to our database, Zepeng Huo authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

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, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data.

Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi

Proceedings of the Machine Learning for Healthcare Conference, 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, Xiaoning Qian

Proceedings of the International Conference on Machine Learning, 2022

Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness.

Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data.

Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery.

Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Sparse Embedding for Interpretable Hospital Admission Prediction.

Zepeng Huo, Harinath Sundararajhan, Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Link Prediction With Personalized Social Influence.

Zepeng Huo, Xiao Huang, Xia Hu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018