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Lida Zhang
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2020 – today
- 2023
- [c9]Lida Zhang, Sicong Huang
, Anurag Das, Edmund Do, Namino Glantz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, Bobak J. Mortazavi:
Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation. BHI 2023: 1-4 - [c8]Lida Zhang, Rohan Khera, Bobak J. Mortazavi:
Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity. EMBC 2023: 1-4 - [c7]Lida Zhang, Bobak J. Mortazavi:
Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data. MLHC 2023: 923-941 - 2022
- [j6]Lida Zhang, Valentin Walther
, Klaus Mølmer, Thomas Pohl
:
Photon-photon interactions in Rydberg-atom arrays. Quantum 6: 674 (2022) - 2021
- [c6]Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi:
Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. BHI 2021: 1-4 - [c5]Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi:
DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. BHI 2021: 1-4 - [c4]Xingyu Wang, Lida Zhang, Diego Klabjan:
Keyword-based Topic Modeling and Keyword Selection. IEEE BigData 2021: 1148-1154 - [c3]Lida Zhang, Abdolghani Ebrahimi, Diego Klabjan:
Layer Flexible Adaptive Computation Time. IJCNN 2021: 1-9 - 2020
- [j5]Yichen He
, Xiujuan Zhou, Ziyan Chen, Xiangyu Deng, Andrew Gehring, Hongyu Ou, Lida Zhang, Xianming Shi:
PRAP: Pan Resistome analysis pipeline. BMC Bioinform. 21(1): 20 (2020) - [c2]Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak Jack Mortazavi:
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. MLHC 2020: 97-120 - [i3]Xingyu Wang, Lida Zhang, Diego Klabjan:
Keyword-based Topic Modeling and Keyword Selection. CoRR abs/2001.07866 (2020) - [i2]Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi:
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. CoRR abs/2007.12802 (2020)
2010 – 2019
- 2019
- [j4]Zachary D. King, Judith Moskowitz, Begum Egilmez, Shibo Zhang, Lida Zhang, Michael Bass, John A. Rogers, Roozbeh Ghaffari, Laurie Wakschlag, Nabil Alshurafa:
micro-Stress EMA: A Passive Sensing Framework for Detecting in-the-wild Stress in Pregnant Mothers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 91:1-91:22 (2019) - 2018
- [c1]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
:
Measuring fine-grained heart-rate using a flexible wearable sensor in the presence of noise. BSN 2018: 160-164 - [i1]Lida Zhang, Diego Klabjan:
Layer Flexible Adaptive Computational Time for Recurrent Neural Networks. CoRR abs/1812.02335 (2018) - 2012
- [j3]Lida Zhang
, Yuyi Huang, Zehong Zou, Ying He, Ximo Chen, Ailin Tao
:
SORTALLER: predicting allergens using substantially optimized algorithm on allergen family featured peptides. Bioinform. 28(16): 2178-2179 (2012)
2000 – 2009
- 2006
- [j2]Youfang Cao
, Shi Liu, Lida Zhang
, Jie Qin, Jiang Wang, Kexuan Tang
:
Prediction of protein structural class with Rough Sets. BMC Bioinform. 7: 20 (2006) - 2004
- [j1]Lida Zhang
, Dejun Yuan, Shunwu Yu
, Zhugang Li, Youfang Cao
, Zhiqi Miao, Hongmei Qian, Kexuan Tang
:
Preference of simple sequence repeats in coding and non-coding regions of Arabidopsis thaliana. Bioinform. 20(7): 1081-1086 (2004)
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last updated on 2024-10-07 21:22 CEST by the dblp team
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