Ning Chen
Ning Chen
Assistant Researcher, Tsinghua University
Verified email at tsinghua.edu.cn
Title
Cited by
Cited by
Year
Bayesian inference with posterior regularization and applications to infinite latent SVMs
J Zhu, N Chen, EP Xing
The Journal of Machine Learning Research 15 (1), 1799-1847, 2014
1292014
Bayesian inference with posterior regularization and applications to infinite latent SVMs
J Zhu, N Chen, EP Xing
The Journal of Machine Learning Research 15 (1), 1799-1847, 2014
1222014
Predictive subspace learning for multi-view data: a large margin approach
N Chen, J Zhu, E Xing
Advances in neural information processing systems 23, 361-369, 2010
1132010
Large-margin predictive latent subspace learning for multiview data analysis
N Chen, J Zhu, F Sun, EP Xing
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (12), 2365 …, 2012
952012
On multiple kernel learning methods
HQ Wang, FC Sun, YN Cai, N Chen, LG Ding
Acta Automatica Sinica 36 (8), 1037-1050, 2010
922010
Gibbs max-margin topic models with data augmentation
J Zhu, N Chen, H Perkins, B Zhang
The Journal of Machine Learning Research 15 (1), 1073-1110, 2014
752014
Infinite latent SVM for classification and multi-task learning
J Zhu, N Chen, E Xing
Advances in neural information processing systems 24, 1620-1628, 2011
672011
Infinite SVM: a Dirichlet process mixture of large-margin kernel machines
J Zhu, N Chen, EP Xing
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
662011
Improving adversarial robustness via promoting ensemble diversity
T Pang, K Xu, C Du, N Chen, J Zhu
arXiv preprint arXiv:1901.08846, 2019
642019
Gibbs max-margin topic models with fast sampling algorithms
J Zhu, N Chen, H Perkins, B Zhang
International Conference on Machine Learning, 124-132, 2013
542013
Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding
X Min, W Zeng, N Chen, T Chen, R Jiang
Bioinformatics 33 (14), i92-i101, 2017
502017
Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
Z Liu, H Lou, K Xie, H Wang, N Chen, OM Aparicio, MQ Zhang, R Jiang, ...
Nature communications 8 (1), 1-9, 2017
462017
Predicting enhancers with deep convolutional neural networks
X Min, W Zeng, S Chen, N Chen, T Chen, R Jiang
BMC bioinformatics 18 (13), 478, 2017
402017
Dropout training for support vector machines
N Chen, J Zhu, J Chen, B Zhang
arXiv preprint arXiv:1404.4171, 2014
362014
Transferable adversarial attacks for image and video object detection
X Wei, S Liang, N Chen, X Cao
arXiv preprint arXiv:1811.12641, 2018
302018
Message passing Stein variational gradient descent
J Zhuo, C Liu, J Shi, J Zhu, N Chen, B Zhang
International Conference on Machine Learning, 6018-6027, 2018
282018
DeepEnhancer: Predicting enhancers by convolutional neural networks
X Min, N Chen, T Chen, R Jiang
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
282016
Discriminative relational topic models
N Chen, J Zhu, F Xia, B Zhang
IEEE transactions on pattern analysis and machine intelligence 37 (5), 973-986, 2014
282014
Generalized relational topic models with data augmentation
N Chen, J Zhu, F Xia, B Zhang
learning 17, 36.6, 2013
272013
Rethinking softmax cross-entropy loss for adversarial robustness
T Pang, K Xu, Y Dong, C Du, N Chen, J Zhu
arXiv preprint arXiv:1905.10626, 2019
182019
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