Dianbo Liu
Dianbo Liu
Verified email at hms.harvard.edu
Title
Cited by
Cited by
Year
Patients with Cancer Appear More Vulnerable to SARS-COV-2: A Multicenter Study during the COVID-19 Outbreak
M Dai, D Liu, M Liu, F Zhou, G Li, Z Chen, Z Zhang, H You, M Wu, ...
Cancer discovery, 2020
6232020
Expanded encyclopaedias of DNA elements in the human and mouse genomes
JE Moore, MJ Purcaro, HE Pratt, CB Epstein, N Shoresh, J Adrian, T Kawli, ...
Nature 583 (7818), 699-710, 2020
1552020
The role of absolute humidity on transmission rates of the COVID-19 outbreak
W Luo, M Majumder, D Liu, C Poirier, K Mandl, M Lipsitch, M Santillana
1482020
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
L Huang, AL Shea, H Qian, A Masurkar, H Deng, D Liu
Journal of biomedical informatics 99, 103291, 2019
802019
The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales
C Poirier, W Luo, MS Majumder, D Liu, KD Mandl, TA Mooring, ...
Scientific reports 10 (1), 1-11, 2020
632020
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, JT Davis, A Vespignani, ...
arXiv preprint arXiv:2004.04019, 2020
622020
Loadaboost: Loss-based adaboost federated machine learning on medical data
L Huang, Y Yin, Z Fu, S Zhang, H Deng, D Liu
arXiv preprint arXiv:1811.12629, 2018
432018
DeepFaceLIFT: interpretable personalized models for automatic estimation of self-reported pain
D Liu, F Peng, A Shea, R Picard
Journal of Machine Learning Research 66, 1-16, 2017
302017
Maintenance of distinct melanocyte populations in the interfollicular epidermis
JD Glover, S Knolle, KL Wells, D Liu, IJ Jackson, RL Mort, DJ Headon
Pigment cell & melanoma research 28 (4), 476-480, 2015
282015
Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models
D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, J Davis, A Vespignani, ...
Journal of medical Internet research 22 (8), e20285, 2020
202020
FADL: Federated-Autonomous Deep Learning for Distributed Electronic Health Record
D Liu, T Miller, R Sayeed, K Mandl
NIPS Machine Learning for Health (ML4H) Workshop, 2018
182018
Two-stage federated phenotyping and patient representation learning
D Liu, D Dligach, T Miller
Proceedings of the 18th BioNLP Workshop, 2019
152019
LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data
L Huang, Y Yin, Z Fu, S Zhang, H Deng, D Liu
Plos one 15 (4), e0230706, 2020
142020
The role of absolute humidity on transmission rates of the COVID-19 outbreak. medRxiv 2020.02. 12.20022467
W Luo, MS Majumder, D Liu, C Poirier, KD Mandl, M Lipsitch, ...
122020
The role of absolute humidity on transmission rates of the COVID-19 outbreak. medRxiv 2020
W Luo, MS Majumder, D Liu, C Poirier, KD Mandl, M Lipsitch, ...
Google Scholar, 0
11
Genie: A secure, transparent sharing and services platform for genetic and health data
S Zhang, A Kim, D Liu, SC Nuckchady, L Huang, A Masurkar, J Zhang, ...
arXiv preprint arXiv:1811.01431, 2018
82018
Faster growth with shorter antigens can explain a VSG hierarchy during African trypanosome infections: a feint attack by parasites
D Liu, L Albergante, TJ Newman, D Horn
Scientific reports 8 (1), 1-10, 2018
82018
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
D Liu, T Miller
arXiv preprint arXiv:2002.08562, 2020
72020
Universal attenuators and their interactions with feedback loops in gene regulatory networks
D Liu, L Albergante, TJ Newman
Nucleic acids research 45 (12), 7078-7093, 2017
72017
The role of absolute humidity on transmission rates of the COVID-19 outbreak. medRxiv [Preprint]. 2020
W Luo, MS Majumder, D Liu, C Poirier, KD Mandl, M Lipsitch, ...
DOI: https://doi. org/10.1101/2020.02 12, 2020
62020
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