Kai Fan

Most-cited papers

Adversarial Feature Matching for Text Generation
Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen +3 more
2017International Conference on Machine Learning367 citations
Semantic Scholar
Zero-Shot Learning via Class-Conditioned Deep Generative Models
Wen-Lin Wang, Yunchen Pu, V. Verma, Kai Fan +4 more
2017AAAI Conference on Artificial Intelligence154 citations Open access
Semantic Scholar
Massive computational acceleration by using neural networks to emulate mechanism-based biological models
Shangying Wang, Kai Fan, Nan Luo, Yangxiaolu Cao +4 more
2019Nature Communications94 citations Open access
Semantic Scholar
Boosting Variational Inference
Fangjian Guo, Xiangyu Wang, Kai Fan, Tamara Broderick +1 more
2016arXiv.org82 citations
Semantic Scholar
Fast Second Order Stochastic Backpropagation for Variational Inference
Kai Fan, Ziteng Wang, J. Beck, J. Kwok +1 more
2015Neural Information Processing Systems47 citations
Semantic Scholar
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models
Chunyuan Li, Chang-You Chen, Kai Fan, L. Carin
2015AAAI Conference on Artificial Intelligence25 citations Open access
Semantic Scholar
An inner-loop free solution to inverse problems using deep neural networks
Qi Wei, Kai Fan, L. Carin, K. Heller
2017Neural Information Processing Systems22 citations
Semantic Scholar
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
Yizhe Zhang, Xiangyu Wang, Chang-You Chen, Ricardo Henao +2 more
2016Neural Information Processing Systems21 citations
Semantic Scholar
A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection
Kai Fan, Chunyuan Li, K. Heller
2016AAAI Conference on Artificial Intelligence20 citations Open access
Semantic Scholar
Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data
Kai Fan, Marisa C. Eisenberg, Alison Walsh, A. Aiello +1 more
2015Knowledge Discovery and Data Mining16 citations
Semantic Scholar
Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WA
Kai Fan, R. Dhammapala, K. Harrington, Ryan Lamastro +2 more
2022Frontiers in Big Data12 citations Open access
Semantic Scholar
InverseNet: Solving Inverse Problems with Splitting Networks
Kai Fan, Qi Wei, Wen-Lin Wang, Amit Chakraborty +1 more
2017arXiv.org8 citations
Semantic Scholar
Bayesian Models for Heterogeneous Personalized Health Data
Kai Fan, A. Aiello, K. Heller
20156 citations
Semantic Scholar
Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis
Kai Fan, Yizhe Zhang, Ricardo Henao, K. Heller
2016Industrial Conference on Data Mining3 citations
Semantic Scholar
InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks
Qi Wei, Kai Fan, Wen-Lin Wang, T. Zheng +4 more
2019IEEE International Conference on Multimedia and Expo2 citations
Semantic Scholar
Monomial Gamma Monte Carlo Sampling
Yizhe Zhang, Xiangyu Wang, Chang-You Chen, Kai Fan +1 more
20162 citations
Semantic Scholar
Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs
Kai Fan
20171 citations
Semantic Scholar
A machine learning approach for ozone forecasting and its application for Kennewick, WA
Kai Fan, B. Lamb, R. Dhammapala, Ryan Lamastro +1 more
20200 citations Open access
Semantic Scholar
Deep Generative Models and Biological Applications
Kai Fan
20170 citations
Semantic Scholar
Inner-loop free ADMM using Auxiliary Deep Neural Networks
Kai Fan, Qi Wei, K. Heller
2017Neural Information Processing Systems0 citations
Semantic Scholar
Scalable Non-linear Beta Process Factor Analysis
Kai Fan
20150 citations
Semantic Scholar
$k$-means: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking
Kai Fan, K. Heller
20150 citations
Semantic Scholar