Quanquan Gu, Ph.D.

Affiliations: 
2015-2018 Computer Science University of Virginia, Charlottesville, VA 
 2018- Computer Science University of California, Los Angeles, Los Angeles, CA 
Area:
Computer Science
Google:
"Quanquan Gu"

Parents

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Jiawei Han grad student 2014 UIUC
 (Online and active learning of big networks: Theory and algorithms.)

Children

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Dongruo Zhou grad student 2017- UCLA
Difan Zou grad student 2017- UCLA
Xiao Zhang grad student 2016-2018 UVA
Jinghui Chen grad student 2015-2021 UCLA
Pan Xu grad student 2015-2021 UCLA
Lingxiao Wang grad student 2016-2021 UCLA
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Publications

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Deng Y, Zhang R, Xu P, et al. (2023) PhyGCN: Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning. Biorxiv : the Preprint Server For Biology
Shea K, Borchering RK, Probert WJM, et al. (2023) Multiple models for outbreak decision support in the face of uncertainty. Proceedings of the National Academy of Sciences of the United States of America. 120: e2207537120
Cramer EY, Ray EL, Lopez VK, et al. (2022) Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences of the United States of America. 119: e2113561119
Shea K, Borchering RK, Probert WJM, et al. (2020) COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support. Medrxiv : the Preprint Server For Health Sciences
Zou D, Cao Y, Zhou D, et al. (2020) Gradient descent optimizes over-parameterized deep ReLU networks Machine Learning. 109: 467-492
Tian D, Gu Q, Ma J. (2016) Identifying gene regulatory network rewiring using latent differential graphical models. Nucleic Acids Research
Zhi S, Han J, Gu Q. (2015) Robust Classification of Information Networks by Consistent Graph Learning. Machine Learning and Knowledge Discovery in Databases : European Conference, Ecml Pkdd ... : Proceedings. Ecml Pkdd (Conference). 9285: 752-767
Tang LA, Yu X, Gu Q, et al. (2015) A framework of mining trajectories from untrustworthy data in cyber-physical system Acm Transactions On Knowledge Discovery From Data. 9: 16
Liu Y, Gu Q, Hou JP, et al. (2014) A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression. Bmc Bioinformatics. 15: 37
Tang L, Yu X, Kim S, et al. (2013) Trustworthiness analysis of sensor data in cyber-physical systems Journal of Computer and System Sciences. 79: 383-401
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