Kai Fan
Kai Fan
Unknown affiliation
Verified email at duke.edu
Cited by
Cited by
Adversarial feature matching for text generation
Y Zhang, Z Gan, K Fan, Z Chen, R Henao, D Shen, L Carin
arXiv preprint arXiv:1706.03850, 2017
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
arXiv preprint arXiv:1711.05820, 2017
Boosting variational inference
F Guo, X Wang, K Fan, T Broderick, DB Dunson
arXiv preprint arXiv:1611.05559, 2016
Fast second order stochastic backpropagation for variational inference
K Fan, Z Wang, J Beck, J Kwok, KA Heller
Advances in Neural Information Processing Systems, 1387-1395, 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
An inner-loop free solution to inverse problems using deep neural networks
K Fan, Q Wei, L Carin, KA Heller
Advances in Neural Information Processing Systems, 2370-2380, 2017
“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, 6367-6374, 2019
Learning a generative classifier from label proportions
K Fan, H Zhang, S Yan, L Wang, W Zhang, J Feng
Neurocomputing 139, 47-55, 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, 1741-1749, 2016
High-order stochastic gradient thermostats for Bayesian learning of deep models
C Li, C Chen, K Fan, L Carin
arXiv preprint arXiv:1512.07662, 2015
Lattice transformer for speech translation
P Zhang, B Chen, N Ge, K Fan
arXiv preprint arXiv:1906.05551, 2019
Unsupervised multi-modal neural machine translation
Y Su, K Fan, N Bach, CCJ Kuo, F Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
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
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 Thirtieth AAAI Conference on Artificial Intelligence …, 2016
Efficient algorithm for privately releasing smooth queries
Z Wang, K Fan, J Zhang, L Wang
Advances in Neural Information Processing Systems, 782-790, 2013
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
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, 7273-7280, 2019
Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis
K Fan, Y Zhang, R Henao, K Heller
2016 IEEE 16th International Conference on Data Mining (ICDM), 121-130, 2016
Differentially private data releasing for smooth queries
Z Wang, C Jin, K Fan, J Zhang, J Huang, Y Zhong, L Wang
The Journal of Machine Learning Research 17 (1), 1779-1820, 2016
InverseNet: Solving inverse problems with splitting networks
K Fan, Q Wei, W Wang, A Chakraborty, K Heller
arXiv preprint arXiv:1712.00202, 2017
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