Wenlin Chen
Title
Cited by
Cited by
Year
Compressing neural networks with the hashing trick
Wenlin Chen, James Wilson, Stephen Tyree, Kilian Weinberger, Yixin Chen
Proceedings of The 32nd International Conference on Machine Learning (ICML), 2015
836*2015
Multi-scale convolutional neural networks for time series classification
Z Cui, W Chen, Y Chen
arXiv preprint arXiv:1603.06995, 2016
2202016
Strategies for training large vocabulary neural language models
W Chen, D Grangier, M Auli
arXiv preprint arXiv:1512.04906, 2015
1282015
An integrated data mining approach to real-time clinical monitoring and deterioration warning
Y Mao, W Chen, Y Chen, C Lu, M Kollef, T Bailey
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
712012
Compressing convolutional neural networks in the frequency domain
W Chen, J Wilson, S Tyree, KQ Weinberger, Y Chen
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
642016
Deep learning recommendation model for personalization and recommendation systems
M Naumov, D Mudigere, HJM Shi, J Huang, N Sundaraman, J Park, ...
arXiv preprint arXiv:1906.00091, 2019
562019
Optimal action extraction for random forests and boosted trees
Z Cui, W Chen, Y He, Y Chen
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
552015
Compressing convolutional neural networks
W Chen, JT Wilson, S Tyree, KQ Weinberger, Y Chen
arXiv preprint arXiv:1506.04449, 2015
542015
Feature-cost sensitive learning with submodular trees of classifiers
M Kusner, W Chen, Q Zhou, ZE Xu, K Weinberger, Y Chen
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
462014
Fast distributed k-center clustering with outliers on massive data
G Malkomes, MJ Kusner, W Chen, KQ Weinberger, B Moseley
Advances in Neural Information Processing Systems, 1063-1071, 2015
442015
A reduction of the elastic net to support vector machines with an application to gpu computing
Q Zhou, W Chen, S Song, JR Gardner, KQ Weinberger, Y Chen
arXiv preprint arXiv:1409.1976, 2014
352014
Kernel density metric learning
Y He, W Chen, Y Chen, Y Mao
2013 IEEE 13th international conference on data mining, 271-280, 2013
342013
Fast flux discriminant for large-scale sparse nonlinear classification
W Chen, Y Chen, KQ Weinberger
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
202014
Density-based logistic regression
W Chen, Y Chen, Y Mao, B Guo
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
202013
Maximum variance correction with application to A* search
W Chen, K Weinberger, Y Chen
International Conference on Machine Learning, 302-310, 2013
172013
Deep metric learning with data summarization
W Wang, C Chen, W Chen, P Rai, L Carin
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
142016
Deep metric learning with data summarization
W Wang, C Chen, W Chen, P Rai, L Carin
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
142016
Filtered search for submodular maximization with controllable approximation bounds
W Chen, Y Chen, K Weinberger
Artificial Intelligence and Statistics, 156-164, 2015
142015
Nonlinear metric learning with kernel density estimation
Y He, Y Mao, W Chen, Y Chen
IEEE Transactions on Knowledge and Data Engineering 27 (6), 1602-1614, 2014
142014
Mortality prediction in icus using a novel time-slicing cox regression method
Y Wang, W Chen, K Heard, MH Kollef, TC Bailey, Z Cui, Y He, C Lu, ...
AMIA Annual Symposium Proceedings 2015, 1289, 2015
112015
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