Dr Liu Dianbo - Department of Biomedical Informatics

Dr LIU Dianbo

Department of Biomedical Informatics

Assistant Professor

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Brief Introduction Journals & Publications

Brief Introduction

Our Cognitive AI for Science (CogAI4Sci) team at National University of Singapore focuses on two branches of research: 1) develop AI inspired by cognitive science to enable machine to learn, reason and create. and 2) Use AI to improve biomedical scientific discovery and medical practice

Before starting CogAI4Sci team, Dr Dianbo Liu was a group leader at the Broad Institute of MIT and Harvard. Prior to the Broad Institute, Dianbo worked as a postdoctoral researcher with Prof. Yoshua Bengio (a Turing Award winner) and led the Humanitarian AI team at the Mila-Quebec AI Institute. This followed his fellowship training and studies in medical informatics at Harvard Medical School. Dianbo earned his PhD from the University of Dundee, Scotland, under the supervision of Prof. Timothea Newman. During his doctoral studies,he received the Vest Scholarship from the Massachusetts Institute of Technology (MIT) and was a special graduate student at the MIT Computer Science and Artificial Intelligence Lab. Dianbo also co-founded two start-ups, "GeneTank" and "SecureAILabs," to advance AI applications in biomedical sciences during his training.

Journals & Publications

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
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
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
The role of absolute humidity on transmission rates of the COVID-19 outbreak, W Luo, MS Majumder, D Liu, C Poirier, KD Mandl, M Lipsitch, MedRxiv, 2020.02. 12.20022467
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
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
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), 17002
Perspectives on ENCODE, MP Snyder, TR Gingeras, JE Moore, Z Weng, MB Gerstein, B Ren, Nature 583 (7818), 693-698
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
Two-stage federated phenotyping and patient representation learning, D Liu, D Dligach, T Miller, Proceedings of the 18th BioNLP Workshop
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
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
High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies, J Cao, EM Novoa, Z Zhang, WCW Chen, D Liu, GCG Choi, ASL Wong, Nature communications 12 (1), 4138
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
Discrete-valued neural communication, D Liu, AM Lamb, K Kawaguchi, AG ALIAS PARTH GOYAL, C Sun, Advances in Neural Information Processing Systems 34, 2109-2121
Flow: A dataset and benchmark for floating waste detection in inland waters, Y Cheng, J Zhu, M Jiang, J Fu, C Pang, P Wang, K Sankaran, O Onabola, Proceedings of the IEEE/CVF International Conference on Computer Vision …
Federated pretraining and fine tuning of bert using clinical notes from multiple silos, D Liu, T Miller, arXiv preprint arXiv:2002.08562
Machine learning methods for automatic pain assessment using facial expression information: Protocol for a systematic review and meta-analysis, D Liu, D Cheng, TT Houle, L Chen, W Zhang, H Deng, Medicine 97 (49)
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
FeARH: Federated machine learning with anonymous random hybridization on electronic medical records, J Cui, H Zhu, H Deng, Z Chen, D Liu, Journal of Biomedical Informatics 117, 103735

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