Publications

2014

N. Chen, J. Zhu, F. Xia, B. Zhang
Discriminative Relational Topic Models,
IEEE Transaction on Pattern Analysis and Machine Intelligence,(TPAMI). In press, 2014.
[paper]

N. Chen, J. Zhu, J. Chen, B. Zhang
Dropout Training for Support Vector Machines,
28th AAAI Conference on Artificial Intelligence (AAAI), 2014.
[paper] [appendix]

F. Xia, N. Chen, J. Zhu, A. Zhang, X. Jin
Max-margin Latent Feature Relational Models for Entity-Attribute Networks,
International Joint Conference on Neural Networks (IJCNN), 2014.
[paper]

2013

N. Chen, J. Zhu, F. Xia, B. Zhang
Generalized Relational Topic Models with Data Augmentation,
23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013.
[paper]

N. Chen, J. Zhu, F. Sun, B. Zhang
Learning Harmonium Models with Infinite Latent Features
in IEEE Trans. On Neural Networks and Learning Systems, 2013.
[paper][appendix]

Before 2013

N. Chen
Research on Discriminative Probabilistic Latent Space Learning and Model Complexity,
PhD Thesis dissertation, Tsinghua University, 2012.
[thesis]

N. Chen, J. Zhu, F. Sun, E. P. Xing.
Large Margin Predictive Latent Subspace Learning for Multi-view Data Analysis,
IEEE Transaction on Pattern Analysis and Machine Intelligence, vol.34(12),2365-2378. (TPAMI), 2012.
[paper] [appendix]

N. Chen, J. Zhu, F. Sun
Infinite Exponential Family Harmoniums,
NIPS 2011 workshop on Bayesian nonparametrics: hope or hype? 2011. Granada, Spain.
[paper]

N. Chen, J. Zhu, E. P. Xing.
Predictive Subspace Learning for Multi-view Data: A large Margin Approach,
Advances in Neural Information Processing Systems(NIPS), 2010
[paper] [code] [dataset]
( This is the short conference version of the TPAMI 2012 paper)

N. Chen, J. Zhu, F. Sun
MMH: Max Margin Supervised Harmoniums,
ICML 2010 workshop on Topic Models. Haifa, Israel.
[paper]

Last updated in July, 2012

Last updated in July, 2013.