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Ning Chen
Ning Chen
Assistant Researcher, Tsinghua University
Verified email at tsinghua.edu.cn
Title
Cited by
Cited by
Year
Improving adversarial robustness via promoting ensemble diversity
T Pang, K Xu, C Du, N Chen, J Zhu
International Conference on Machine Learning, 4970-4979, 2019
2632019
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
1582014
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
1512014
Predictive subspace learning for multi-view data: a large margin approach
N Chen, J Zhu, E Xing
Advances in neural information processing systems 23, 2010
1282010
On multiple kernel learning methods
HQ Wang, FC Sun, YN Cai, N Chen, LG Ding
Acta Automatica Sinica 36 (8), 1037-1050, 2010
1122010
Transferable adversarial attacks for image and video object detection
X Wei, S Liang, N Chen, X Cao
arXiv preprint arXiv:1811.12641, 2018
1102018
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
1092012
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
932019
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
892014
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
882017
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
862017
Predicting enhancers with deep convolutional neural networks
X Min, W Zeng, S Chen, N Chen, T Chen, R Jiang
BMC bioinformatics 18 (13), 35-46, 2017
732017
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
692011
Infinite latent SVM for classification and multi-task learning
J Zhu, N Chen, E Xing
Advances in neural information processing systems 24, 2011
692011
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
552013
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
522018
Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study
J Gu, Y Shi, Y Zhu, N Chen, H Wang, Z Zhang, T Chen
PLoS medicine 17 (8), e1003188, 2020
442020
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
412016
Dropout training for support vector machines
N Chen, J Zhu, J Chen, B Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
382014
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
372014
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