Kai Fan | DeepAI

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Featured Co-authors

Bo Li
461 publications
Lei Li
255 publications
Lawrence Carin
178 publications
C. -C. Jay Kuo
151 publications
Fei Huang
134 publications
Ke Wang
107 publications
Zhe Gan
102 publications
David B. Dunson
94 publications
Changyou Chen
87 publications
Chunyuan Li
84 publications
Zhi Chen
83 publications

∙ 05/28/2023

Neural Machine Translation with Dynamic Graph Convolutional Decoder

Existing wisdom demonstrates the significance of syntactic knowledge for...

0 Lei Li, et al. ∙

∙ 03/28/2023

Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics

Song translation requires both translation of lyrics and alignment of mu...

0 Chengxi Li, et al. ∙

∙ 03/14/2023

Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference

A popular approach to streaming speech translation is to employ a single...

0 Biao Fu, et al. ∙

∙ 11/25/2022

Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?

Neural machine translation (NMT) is often criticized for failures that h...

0 Pei Zhang, et al. ∙

∙ 08/27/2022

A scalable pipeline for COVID-19: the case study of Germany, Czechia and Poland

Throughout the coronavirus disease 2019 (COVID-19) pandemic, decision ma...

0 Wildan Abdussalam, et al. ∙

∙ 04/13/2022

Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

k-Nearest-Neighbor Machine Translation (kNN-MT) has been recently propos...

0 Dexin Wang, et al. ∙

∙ 11/23/2021

StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks

Scene text detection is still a challenging task, as there may be extrem...

4 Lei Li, et al. ∙

∙ 09/19/2020

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

Many document-level neural machine translation (NMT) systems have explor...

10 Pei Zhang, et al. ∙

∙ 09/19/2020

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

With the advent of neural machine translation, there has been a marked s...

6 Jiayi Wang, et al. ∙

∙ 04/28/2020

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

Either human annotation or rule based automatic labeling is an effective...

0 Shanchan Wu, et al. ∙

∙ 10/03/2019

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

The performances of automatic speech recognition (ASR) systems are usual...

0 Kai Fan, et al. ∙

∙ 06/13/2019

Lattice Transformer for Speech Translation

Recent advances in sequence modeling have highlighted the strengths of t...

0 Pei Zhang, et al. ∙

∙ 11/28/2018

Unsupervised Multi-modal Neural Machine Translation

Unsupervised neural machine translation (UNMT) has recently achieved rem...

0 Yuanhang Su, et al. ∙

∙ 11/14/2018

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

Distant supervised relation extraction has been successfully applied to ...

0 Shanchan Wu, et al. ∙

∙ 07/25/2018

"Bilingual Expert" Can Find Translation Errors

Recent advances in statistical machine translation via the adoption of n...

0 Kai Fan, et al. ∙

∙ 12/01/2017

InverseNet: Solving Inverse Problems with Splitting Networks

We propose a new method that uses deep learning techniques to solve the ...

0 Kai Fan, et al. ∙

∙ 11/15/2017

Zero-Shot Learning via Class-Conditioned Deep Generative Models

We present a deep generative model for learning to predict classes not s...

0 Wenlin Wang, et al. ∙

∙ 09/06/2017

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

We propose a new method that uses deep learning techniques to accelerate...

0 Qi Wei, et al. ∙

∙ 06/12/2017

Adversarial Feature Matching for Text Generation

The Generative Adversarial Network (GAN) has achieved great success in g...

0 Yizhe Zhang, et al. ∙

∙ 03/28/2017

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

Stochastic gradient descent based algorithms are typically used as the g...

0 Kai Fan, et al. ∙

∙ 11/17/2016

Boosting Variational Inference

Variational inference (VI) provides fast approximations of a Bayesian po...

0 Fangjian Guo, et al. ∙

∙ 02/25/2016

Towards Unifying Hamiltonian Monte Carlo and Slice Sampling

We unify slice sampling and Hamiltonian Monte Carlo (HMC) sampling, demo...

0 Yizhe Zhang, et al. ∙

∙ 12/23/2015

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

Learning in deep models using Bayesian methods has generated significant...

0 Chunyuan Li, et al. ∙

∙ 11/13/2015

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

For regular particle filter algorithm or Sequential Monte Carlo (SMC) me...

0 Kai Fan, et al. ∙

∙ 09/09/2015

Fast Second-Order Stochastic Backpropagation for Variational Inference

We propose a second-order (Hessian or Hessian-free) based optimization m...

0 Kai Fan, et al. ∙

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