| 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 | 554 | 2012 |
| 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 | 76 | 2014 |
| 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 | 37 | 2017 |
| Asynchronous distributed variational Gaussian process for regression H Peng, S Zhe, X Zhang, Y Qi International Conference on Machine Learning, 2788-2797, 2017 | 31 | 2017 |
| EigenGP: Gaussian Process Models with Adaptive Eigenfunctions H Peng, Y Qi IJCAI, 3763-3769, 2015 | 11 | 2015 |
| Music radar: A web-based query by humming system L Cao, P Hao, C Zhou Computer Science Department, Purdue University, 2012 | 6 | 2012 |
| & 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 | |
| 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 |
Shandian ZheSchool of Computing, University of Utahยืนยันอีเมลแล้วที่ cs.utah.edu
