Jesse Zhang
Jesse Zhang
Electrical Engineering PhD Student, Stanford University
Verified email at stanford.edu - Homepage
TitleCited byYear
Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts
V Ntranos, GM Kamath, JM Zhang, L Pachter, NT David
Genome biology 17 (1), 112, 2016
702016
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
692014
Porcupine neural networks:(almost) all local optima are global
S Feizi, H Javadi, J Zhang, D Tse
arXiv preprint arXiv:1710.02196, 2017
202017
Generalizable adversarial training via spectral normalization
F Farnia, JM Zhang, D Tse
arXiv preprint arXiv:1811.07457, 2018
162018
An interpretable framework for clustering single-cell RNA-Seq datasets
JM Zhang, J Fan, HC Fan, D Rosenfeld, NT David
BMC bioinformatics 19 (1), 93, 2018
132018
Porcupine neural networks: Approximating neural network landscapes
S Feizi, H Javadi, J Zhang, D Tse
Advances in Neural Information Processing Systems, 4831-4841, 2018
42018
Towards a Post-Clustering Test for Differential Expression.
JM Zhang, GM Kamath, NT David
RECOMB, 328-329, 2019
32019
Valid post-clustering differential analysis for single-cell RNA-Seq
JM Zhang, GM Kamath, NT David
Cell systems 9 (4), 383-392. e6, 2019
22019
Prediction of Price Increase for Magic: The Gathering Cards
M Pawlicki, J Polin, J Zhang
Recuperado de http://cs229. stanford. edu/proj2014/Matt% 20Pawlicki,% 20Joe …, 2014
22014
A Spectral Approach to Generalization and Optimization in Neural Networks
F Farnia, J Zhang, D Tse
2018
Learning the Language of the Genome using RNNs
JM Zhang, GM Kamath
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Articles 1–11