Lida Zhang

According to our database, Lida Zhang authored at least 16 papers between 2004 and 2023.

Collaborative distances:

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

2023

Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data.

Lida Zhang, Bobak J. Mortazavi

Proceedings of the Machine Learning for Healthcare Conference, 2023

Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity.

Lida Zhang, Rohan Khera, Bobak J. Mortazavi

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation.

Lida Zhang, Sicong Huang, Anurag Das, Edmund Do, Namino Glantz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, Bobak J. Mortazavi

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022

Photon-photon interactions in Rydberg-atom arrays.

Lida Zhang, Valentin Walther, Klaus Mølmer, Thomas Pohl

Quantum, 2022

2021

Layer Flexible Adaptive Computation Time.

Lida Zhang, Abdolghani Ebrahimi, Diego Klabjan

Proceedings of the International Joint Conference on Neural Networks, 2021

Keyword-based Topic Modeling and Keyword Selection.

Xingyu Wang, Lida Zhang, Diego Klabjan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records.

Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi

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

PRAP: Pan Resistome analysis pipeline.

Yichen He, Xiujuan Zhou, Ziyan Chen, Xiangyu Deng, Andrew Gehring, Hongyu Ou, Lida Zhang, Xianming Shi

BMC Bioinform., 2020

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks.

Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak Jack Mortazavi

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

micro-Stress EMA: A Passive Sensing Framework for Detecting in-the-wild Stress in Pregnant Mothers.

Zachary D. King, Judith Moskowitz, Begum Egilmez, Shibo Zhang, Lida Zhang, Michael Bass, John A. Rogers, Roozbeh Ghaffari, Laurie Wakschlag, Nabil Alshurafa

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

2018

Layer Flexible Adaptive Computational Time for Recurrent Neural Networks.

Lida Zhang, Diego Klabjan

CoRR, 2018

Measuring fine-grained heart-rate using a flexible wearable sensor in the presence of noise.

Lida Zhang, Zachary D. King, Begum Egilmez, Jonathan T. Reeder, Roozbeh Ghaffari, John A. Rogers, Kristen Rosen, Michael Bass, Judith Moskowitz, Darius Tandon, Lauren S. Wakschlag, Nabil Alshurafa

Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

2012

SORTALLER: predicting allergens using substantially optimized algorithm on allergen family featured peptides.

Lida Zhang, Yuyi Huang, Zehong Zou, Ying He, Ximo Chen, Ailin Tao

Bioinform., 2012

2006

Prediction of protein structural class with Rough Sets.

Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang Wang, Kexuan Tang

BMC Bioinform., 2006

2004

Preference of simple sequence repeats in coding and non-coding regions of Arabidopsis thaliana.

Lida Zhang, Dejun Yuan, Shunwu Yu, Zhugang Li, Youfang Cao, Zhiqi Miao, Hongmei Qian, Kexuan Tang

Bioinform., 2004