Zhaoshi Meng
Zhaoshi Meng
Vicarious AI
Email verificata su vicarious.com
Citata da
Citata da
Understanding the limiting factors of topic modeling via posterior contraction analysis
J Tang, Z Meng, X Nguyen, Q Mei, M Zhang
International Conference on Machine Learning, 190-198, 2014
A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs
D George, W Lehrach, K Kansky, M Lázaro-Gredilla, C Laan, B Marthi, ...
Science 358 (6368), 2017
Multimodal sensing for pediatric obesity applications
M Annavaram, N Medvidovic, U Mitra, S Narayanan, G Sukhatme, Z Meng, ...
Proceedings of UrbanSense08, 21-25, 2008
Learning latent variable Gaussian graphical models
Z Meng, B Eriksson, A Hero
International Conference on Machine Learning, 1269-1277, 2014
Distributed learning of Gaussian graphical models via marginal likelihoods
Z Meng, D Wei, A Wiesel, A Hero III
Artificial Intelligence and Statistics, 39-47, 2013
Distributed principal component analysis on networks via directed graphical models
Z Meng, A Wiesel, AO Hero
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
Marginal likelihoods for distributed parameter estimation of Gaussian graphical models
Z Meng, D Wei, A Wiesel, AO Hero
IEEE Transactions on Signal Processing 62 (20), 5425-5438, 2014
THU and ICRC at TRECVID 2008.
Y Liang, X Liu, Z Wang, J Li, B Cao, Z Cao, Z Dai, Z Guo, W Li, L Luo, ...
Marginal likelihoods for distributed estimation of graphical model parameters
Z Meng, D Wei, AO Hero, A Wiesel
2013 5th IEEE International Workshop on Computational Advances in Multi …, 2013
Distributed Learning, Prediction and Detection in Probabilistic Graphs.
Z Meng
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