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Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing

Sep 28, 2020
Jiayi Wang, Ke Wang, Niyu Ge, Yangbing Shi, Yu Zhao, Kai Fan

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Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation

Sep 19, 2020
Pei Zhang, Boxing Chen, Niyu Ge, Kai Fan

* accepted to EMNLP 2020 

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A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss

Apr 28, 2020
Shanchan Wu, Kai Fan

* 10 pages 

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Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System

Oct 03, 2019
Kai Fan, Jiayi Wang, Bo Li, Boxing Chen, Niyu Ge

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Lattice Transformer for Speech Translation

Jun 13, 2019
Pei Zhang, Boxing Chen, Niyu Ge, Kai Fan

* accepted to ACL 2019 

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Unsupervised Multi-modal Neural Machine Translation

Nov 28, 2018
Yuanhang Su, Kai Fan, Nguyen Bach, C. -C. Jay Kuo, Fei Huang

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Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector

Nov 14, 2018
Shanchan Wu, Kai Fan, Qiong Zhang

* Accepted to AAAI 2019 

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"Bilingual Expert" Can Find Translation Errors

Aug 03, 2018
Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si

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Towards Unifying Hamiltonian Monte Carlo and Slice Sampling

Jan 10, 2018
Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin

* Advances in Neural Information Processing Systems, pages 1741--1749, year 2016 
* updated version 

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InverseNet: Solving Inverse Problems with Splitting Networks

Dec 01, 2017
Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine Heller

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Zero-Shot Learning via Class-Conditioned Deep Generative Models

Nov 19, 2017
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin

* To appear in AAAI 2018 

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Adversarial Feature Matching for Text Generation

Nov 18, 2017
Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin

* Accepted by ICML 2017 

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An inner-loop free solution to inverse problems using deep neural networks

Nov 14, 2017
Qi Wei, Kai Fan, Lawrence Carin, Katherine A. Heller

* 2017 Conference on Neural Information Processing Systems (NIPS) 

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Fast Second-Order Stochastic Backpropagation for Variational Inference

Mar 28, 2017
Kai Fan, Ziteng Wang, Jeff Beck, James Kwok, Katherine Heller

* Accepted by NIPS 2015 

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Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs

Mar 28, 2017
Kai Fan

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Boosting Variational Inference

Mar 01, 2017
Fangjian Guo, Xiangyu Wang, Kai Fan, Tamara Broderick, David B. Dunson

* 17 pages, 7 figures 

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High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models

Dec 23, 2015
Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin

* AAAI 2016 

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$k$-means: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking

Nov 13, 2015
Kai Fan, Katherine Heller

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