Jesse Zhang

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David TseThomas Kailath and Guanghan Xu Professor, Stanford UniversityVerifierad e-postadress på stanford.edu
Govinda M. Kamath10x GenomicsVerifierad e-postadress på alumni.stanford.edu
Farzan FarniaAssistant Professor, Chinese University of Hong KongVerifierad e-postadress på cuhk.edu.hk
Housheng Hansen HePrincess Margaret Cancer Centre, University Health Network; Department of Medical BiophysicsVerifierad e-postadress på uhnresearch.ca
Myles BrownEmil Frei III Professor of Medicine, Dana-Farber Cancer Institute and Harvard Medical SchoolVerifierad e-postadress på dfci.harvard.edu
Vasilis NtranosUniversity of California, San FranciscoVerifierad e-postadress på ucsf.edu
Lior PachterBren Professor of Computational Biology, CaltechVerifierad e-postadress på caltech.edu
Soheil FeiziUniversity of Maryland, College ParkVerifierad e-postadress på cs.umd.edu

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Jesse Zhang

Electrical Engineering PhD Student, Stanford University

Verifierad e-postadress på stanford.edu - Startsida

Artificial Intelligence Machine Learning Computational Biology Genomics


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Generalizable adversarial training via spectral normalization F Farnia, JM Zhang, D Tse arXiv preprint arXiv:1811.07457, 2018	179	2018
Lysine-specific demethylase 1 has dual functions as a major regulator of androgen receptor transcriptional activity C Cai, HH He, S Gao, S Chen, Z Yu, Y Gao, S Chen, MW Chen, J Zhang, ... Cell reports 9 (5), 1618-1627, 2014	153	2014
Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts V Ntranos, GM Kamath, JM Zhang, L Pachter, DN Tse Genome biology 17 (1), 112, 2016	139	2016
Valid post-clustering differential analysis for single-cell RNA-Seq JM Zhang, GM Kamath, NT David Cell systems 9 (4), 383-392. e6, 2019	77	2019
An interpretable framework for clustering single-cell RNA-Seq datasets JM Zhang, J Fan, HC Fan, D Rosenfeld, DN Tse BMC bioinformatics 19, 1-12, 2018	54	2018
Porcupine neural networks:(almost) all local optima are global S Feizi, H Javadi, J Zhang, D Tse arXiv preprint arXiv:1710.02196, 2017	40	2017
Prediction of price increase for Magic: The Gathering cards M Pawlicki, J Polin, J Zhang Class report, Stanford University, 2014	13	2014
A Fourier-based approach to generalization and optimization in deep learning F Farnia, JM Zhang, NT David IEEE Journal on Selected Areas in Information Theory 1 (1), 145-156, 2020	6	2020
Porcupine neural networks: Approximating neural network landscapes S Feizi, H Javadi, J Zhang, D Tse Advances in Neural Information Processing Systems 31, 2018	6	2018
Towards a Post-Clustering Test for Differential Expression. JM Zhang, GM Kamath, NC David RECOMB, 328-329, 2019	5	2019
A spectral approach to generalization and optimization in neural networks F Farnia, J Zhang, D Tse	5	2018
Learning the language of the genome using RNNs JM Zhang, GM Kamath Go to reference in article, 2016	2	2016

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