| Adversarial feature matching for text generation Y Zhang, Z Gan, K Fan, Z Chen, R Henao, D Shen, L Carin International conference on machine learning, 4006-4015, 2017 | 444 | 2017 |
| Zero-shot learning via class-conditioned deep generative models W Wang, Y Pu, V Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 171 | 2018 |
| Massive computational acceleration by using neural networks to emulate mechanism-based biological models S Wang, F Kai, N Luo, Y Cao, F Wu, C Zhang, KA Heller, L You Nature Communications 10 (1), 4354, 2019 | 95 | 2019 |
| Boosting variational inference F Guo, X Wang, K Fan, T Broderick, DB Dunson arXiv preprint arXiv:1611.05559, 2016 | 82 | 2016 |
| Unsupervised multi-modal neural machine translation Y Su, K Fan, N Bach, CCJ Kuo, F Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 76 | 2019 |
| “Bilingual Expert” can find translation errors K Fan, J Wang, B Li, F Zhou, B Chen, L Si Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6367-6374, 2019 | 64 | 2019 |
| Lattice transformer for speech translation P Zhang, B Chen, N Ge, K Fan Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 50 | 2019 |
| Fast second order stochastic backpropagation for variational inference K Fan, Z Wang, J Beck, J Kwok, KA Heller Advances in Neural Information Processing Systems 28, 2015 | 47 | 2015 |
| Alibaba submission for WMT18 quality estimation task J Wang, K Fan, B Li, F Zhou, B Chen, Y Shi, L Si Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018 | 46 | 2018 |
| Improving distantly supervised relation extraction with neural noise converter and conditional optimal selector S Wu, K Fan, Q Zhang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7273-7280, 2019 | 41 | 2019 |
| Long-short term masking transformer: A simple but effective baseline for document-level neural machine translation P Zhang, B Chen, N Ge, K Fan Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 30 | 2020 |
| High-order stochastic gradient thermostats for Bayesian learning of deep models C Li, C Chen, K Fan, L Carin Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 30 | 2016 |
| Efficient cluster-based k-nearest-neighbor machine translation D Wang, K Fan, B Chen, D Xiong arXiv preprint arXiv:2204.06175, 2022 | 29 | 2022 |
| Inner-loop free ADMM using Auxiliary Deep Neural Networks K Fan, Q Wei, KA Heller Advances in Neural Information Processing Systems, 2367-2377, 2017 | 28* | 2017 |
| Learning a generative classifier from label proportions K Fan, H Zhang, S Yan, L Wang, W Zhang, J Feng Neurocomputing 139, 47-55, 2014 | 27 | 2014 |
| Towards unifying Hamiltonian Monte Carlo and slice sampling Y Zhang, X Wang, C Chen, R Henao, K Fan, L Carin Advances in Neural Information Processing Systems 29, 2016 | 23 | 2016 |
| A unifying variational inference framework for hierarchical graph-coupled HMM with an application to influenza infection K Fan, C Li, K Heller Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 22 | 2016 |
| Hierarchical graph-coupled hmms for heterogeneous personalized health data K Fan, M Eisenberg, A Walsh, A Aiello, K Heller Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 18 | 2015 |
| Efficient algorithm for privately releasing smooth queries Z Wang, K Fan, J Zhang, L Wang Advances in Neural Information Processing Systems 26, 2013 | 18 | 2013 |
| Differentially private data releasing for smooth queries Z Wang, C Jin, K Fan, J Zhang, J Huang, Y Zhong, L Wang Journal of Machine Learning Research 17 (51), 1-42, 2016 | 17 | 2016 |
