| Bayesian sampling using stochastic gradient thermostats N Ding, Y Fang, R Babbush, C Chen, R Skeel, H Neven | 207 | 2014 |
| Preconditioned stochastic gradient Langevin dynamics for deep neural networks C Li, C Chen, D Carlson, L Carin Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 204 | 2016 |
| Alice: Towards understanding adversarial learning for joint distribution matching C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L Carin Advances in Neural Information Processing Systems 30, 5495-5503, 2017 | 177 | 2017 |
| On the convergence of stochastic gradient MCMC algorithms with high-order integrators C Chen, N Ding, L Carin Advances in Neural Information Processing Systems 28, 2278-2286, 2015 | 150 | 2015 |
| Zero-shot learning via class-conditioned deep generative models W Wang, Y Pu, VK Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin Thirty-second AAAI conference on artificial intelligence, 2018 | 114 | 2018 |
| Sequential latent Dirichlet allocation L Du, W Buntine, H Jin, C Chen Knowledge and information systems 31 (3), 475-503, 2012 | 102 | 2012 |
| Low-resolution gait recognition J Zhang, J Pu, C Chen, R Fleischer IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2010 | 99 | 2010 |
| Certified adversarial robustness with additive noise B Li, C Chen, W Wang, L Carin arXiv preprint arXiv:1809.03113, 2018 | 97 | 2018 |
| Scalable deep Poisson factor analysis for topic modeling Z Gan, C Chen, R Henao, D Carlson, L Carin International Conference on Machine Learning, 1823-1832, 2015 | 91 | 2015 |
| Learning structured weight uncertainty in bayesian neural networks S Sun, C Chen, L Carin Artificial Intelligence and Statistics, 1283-1292, 2017 | 81 | 2017 |
| Cyclical stochastic gradient MCMC for Bayesian deep learning R Zhang, C Li, J Zhang, C Chen, AG Wilson arXiv preprint arXiv:1902.03932, 2019 | 74 | 2019 |
| Second-order adversarial attack and certifiable robustness B Li, C Chen, W Wang, L Carin | 69 | 2018 |
| Topic-guided variational autoencoders for text generation W Wang, Z Gan, H Xu, R Zhang, G Wang, D Shen, C Chen, L Carin arXiv preprint arXiv:1903.07137, 2019 | 68 | 2019 |
| Bridging the gap between stochastic gradient MCMC and stochastic optimization C Chen, D Carlson, Z Gan, C Li, L Carin Artificial Intelligence and Statistics, 1051-1060, 2016 | 67 | 2016 |
| Symmetric variational autoencoder and connections to adversarial learning L Chen, S Dai, Y Pu, E Zhou, C Li, Q Su, C Chen, L Carin International Conference on Artificial Intelligence and Statistics, 661-669, 2018 | 61 | 2018 |
| Twitter-network topic model: A full Bayesian treatment for social network and text modeling KW Lim, C Chen, W Buntine arXiv preprint arXiv:1609.06791, 2016 | 61 | 2016 |
| Distributionally adversarial attack T Zheng, C Chen, K Ren Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2253-2260, 2019 | 57 | 2019 |
| Distance approximating dimension reduction of Riemannian manifolds C Chen, J Zhang, R Fleischer IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009 | 51 | 2009 |
| Sampling table configurations for the hierarchical Poisson-Dirichlet process C Chen, L Du, W Buntine Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 45 | 2011 |
| A unified particle-optimization framework for scalable Bayesian sampling C Chen, R Zhang, W Wang, B Li, L Chen arXiv preprint arXiv:1805.11659, 2018 | 42 | 2018 |
Chunyuan LiSenior Researcher @ Microsoft Research, RedmondVerified email at microsoft.com
