| 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 | 1458* | 2015 |
| Multi-scale convolutional neural networks for time series classification Z Cui, W Chen, Y Chen arXiv preprint arXiv:1603.06995, 2016 | 836 | 2016 |
| Deep Learning Recommendation Model for Personalization and Recommendation Systems Arxiv, 2019 | 791* | 2019 |
| Strategies for training large vocabulary neural language models W Chen, D Grangier, M Auli arXiv preprint arXiv:1512.04906, 2015 | 192 | 2015 |
| 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 | 153 | 2015 |
| 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 | 144 | 2016 |
| 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 | 103 | 2012 |
| 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 | 100 | 2015 |
| Compressing convolutional neural networks W Chen, JT Wilson, S Tyree, KQ Weinberger, Y Chen arXiv preprint arXiv:1506.04449, 2015 | 75 | 2015 |
| 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 | 64 | 2014 |
| 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 | 62 | 2015 |
| 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 | 45 | 1906 |
| Kernel density metric learning Y He, W Chen, Y Chen, Y Mao 2013 IEEE 13th international conference on data mining, 271-280, 2013 | 38 | 2013 |
| Density-based logistic regression W Chen, Y Chen, Y Mao, B Guo Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 37 | 2013 |
| 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 | 23 | 2014 |
| 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 | 22 | 2014 |
| 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 | 19 | 2016 |
| 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 | 19 | 2015 |
| Maximum variance correction with application to A* search W Chen, K Weinberger, Y Chen International Conference on Machine Learning, 302-310, 2013 | 19 | 2013 |
| Filtered search for submodular maximization with controllable approximation bounds W Chen, Y Chen, K Weinberger Artificial Intelligence and Statistics, 156-164, 2015 | 18 | 2015 |
