Follow
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
1459*2015
Multi-scale convolutional neural networks for time series classification
Z Cui, W Chen, Y Chen
arXiv preprint arXiv:1603.06995, 2016
8422016
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Arxiv, 2019
794*2019
Strategies for training large vocabulary neural language models
W Chen, D Grangier, M Auli
arXiv preprint arXiv:1512.04906, 2015
1922015
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
1532015
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
1452016
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
1032012
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 28, 2015
1002015
Compressing convolutional neural networks
W Chen, JT Wilson, S Tyree, KQ Weinberger, Y Chen
arXiv preprint arXiv:1506.04449, 2015
762015
Feature-cost sensitive learning with submodular trees of classifiers
M Kusner, W Chen, Q Zhou, ZE Xu, K Weinberger, Y Chen
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
642014
A reduction of the elastic net to support vector machines with an application to GPU computing
Q Zhou, W Chen, S Song, J Gardner, K Weinberger, Y Chen
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
622015
Deep learning recommendation model for personalization and recommendation systems. CoRR abs/1906.00091 (2019)
M Naumov, D Mudigere, HJM Shi, J Huang, N Sundaraman, J Park, ...
URL: https://arxiv. org/abs/1906 91, 1906
451906
Kernel density metric learning
Y He, W Chen, Y Chen, Y Mao
2013 IEEE 13th international conference on data mining, 271-280, 2013
382013
Density-based logistic regression
W Chen, Y Chen, Y Mao, B Guo
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
372013
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
232014
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
222014
Deep metric learning with data summarization
W Wang, C Chen, W Chen, P Rai, L Carin
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
192016
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
192015
Maximum variance correction with application to A* search
W Chen, K Weinberger, Y Chen
International Conference on Machine Learning, 302-310, 2013
192013
Filtered search for submodular maximization with controllable approximation bounds
W Chen, Y Chen, K Weinberger
Artificial Intelligence and Statistics, 156-164, 2015
182015
The system can't perform the operation now. Try again later.
Articles 1–20