Stebėti
Ning Chen
Ning Chen
Assistant Researcher, Tsinghua University
Patvirtintas el. paštas tsinghua.edu.cn
Pavadinimas
Cituota
Cituota
Metai
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
5012019
Transferable adversarial attacks for image and video object detection
X Wei, S Liang, N Chen, X Cao
arXiv preprint arXiv:1811.12641, 2018
2652018
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
1982019
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
1862014
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
1602020
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
1502010
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
1362017
On multiple kernel learning methods
HQ Wang, FC Sun, YN Cai, N Chen, LG Ding
Acta Automatica Sinica 36 (8), 1037-1050, 2010
1242010
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
1202017
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
1192012
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
1052017
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
1012014
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
982018
Infinite latent SVM for classification and multi-task learning
J Zhu, N Chen, E Xing
Advances in neural information processing systems 24, 2011
742011
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
682011
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
592020
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
592013
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
482016
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
442017
Responses of cyanobacterial aggregate microbial communities to algal blooms
C Zhu, J Zhang, X Wang, Y Yang, N Chen, Z Lu, Q Ge, R Jiang, X Zhang, ...
Water Research 196, 117014, 2021
422021
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