Obserwuj
Hao Peng
Hao Peng
Google Inc.
Zweryfikowany adres z alumni.purdue.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
Using probabilistic generative models for ranking risks of android apps
H Peng, C Gates, B Sarma, N Li, Y Qi, R Potharaju, C Nita-Rotaru, ...
Proceedings of the 2012 ACM conference on Computer and communications …, 2012
5042012
Generating summary risk scores for mobile applications
CS Gates, N Li, H Peng, B Sarma, Y Qi, R Potharaju, C Nita-Rotaru, ...
IEEE Transactions on dependable and secure computing 11 (3), 238-251, 2014
612014
Semi-supervised Structured Prediction with Neural CRF Autoencoder
X Zhang, Y Jiang, H Peng, K Tu, D Goldwasser
Proceedings of Conference on Empirical Methods in Natural Language Processing, 2017
302017
Asynchronous distributed variational Gaussian process for regression
H Peng, S Zhe, X Zhang, Y Qi
International Conference on Machine Learning, 2788-2797, 2017
232017
EigenGP: Gaussian Process Models with Adaptive Eigenfunctions
H Peng, Y Qi
IJCAI, 3763-3769, 2015
82015
& Molloy, I.(2012, October). Using probabilistic generative models for ranking risks of android apps
H Peng, C Gates, B Sarma, N Li, Y Qi, R Potharaju
Proceedings of the 2012 ACM conference on Computer and communications …, 0
4
Music radar: A web-based query by humming system
L Cao, P Hao, C Zhou
Computer Science Department, Purdue University, 2012
3*2012
DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates
H Peng, Y Yang, S Zhe, J Wang, M Gribskov, Y Qi
Bioinformatics 33 (19), 3018-3027, 2017
2017
Efficient Bayesian Machine Learning with Gaussian Processes
H Peng
Purdue University, 2017
2017
Project Term Report
H Peng
2011
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–10