| 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 | 442 | 2019 |
| Transferable adversarial attacks for image and video object detection X Wei, S Liang, N Chen, X Cao arXiv preprint arXiv:1811.12641, 2018 | 216 | 2018 |
| 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 | 182 | 2014 |
| 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 | 178 | 2019 |
| 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 | 145 | 2010 |
| 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 | 131 | 2020 |
| 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), 22, 2017 | 128 | 2017 |
| 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 | 120 | 2012 |
| On multiple kernel learning methods HQ Wang, FC Sun, YN Cai, N Chen, LG Ding Acta Automatica Sinica 36 (8), 1037-1050, 2010 | 120 | 2010 |
| 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 | 112 | 2017 |
| 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 | 100 | 2014 |
| Predicting enhancers with deep convolutional neural networks X Min, W Zeng, S Chen, N Chen, T Chen, R Jiang BMC bioinformatics 18, 35-46, 2017 | 99 | 2017 |
| 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 | 85 | 2018 |
| Infinite latent SVM for classification and multi-task learning J Zhu, N Chen, E Xing Advances in neural information processing systems 24, 2011 | 74 | 2011 |
| 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 | 68 | 2011 |
| 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 | 58 | 2013 |
| Ambient fine particulate matter and hospital admissions for ischemic and hemorrhagic strokes and transient ischemic attack in 248 Chinese cities J Gu, Y Shi, N Chen, H Wang, T Chen Science of the total environment 715, 136896, 2020 | 55 | 2020 |
| 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 | 47 | 2016 |
| Inference of environmental factor-microbe and microbe-microbe associations from metagenomic data using a hierarchical Bayesian statistical model Y Yang, N Chen, T Chen Cell systems 4 (1), 129-137. e5, 2017 | 40 | 2017 |
| 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 | 40 | 2014 |
Jun ZhuProfessor of Computer Science, Tsinghua UniversityEmail được xác minh tại mail.tsinghua.edu.cn
