Yang Feng

Bridging the Gap between Training and Inference for Neural Machine Translation

Neural Machine Translation (NMT) generates target words sequentially in ...

06/06/2019 ∙ by Wen Zhang, et al. ∙ 5 ∙ share

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Video Re-localization

Many methods have been developed to help people find the video contents ...

08/05/2018 ∙ by Yang Feng, et al. ∙ 4 ∙ share

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Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation

Non-Autoregressive Transformer (NAT) aims to accelerate the Transformer ...

06/22/2019 ∙ by Chenze Shao, et al. ∙ 1 ∙ share

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Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition

Recurrent neural networks (RNNs) have shown clear superiority in sequenc...

09/28/2016 ∙ by Zhiyuan Tang, et al. ∙ 0 ∙ share

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Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning

We study to what extend Chinese, Japanese and Korean faces can be classi...

10/06/2016 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Neyman-Pearson Classification under High-Dimensional Settings

Most existing binary classification methods target on the optimization o...

08/13/2015 ∙ by Anqi Zhao, et al. ∙ 0 ∙ share

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A Projection Based Conditional Dependence Measure with Applications to High-dimensional Undirected Graphical Models

Measuring conditional dependence is an important topic in statistics wit...

01/07/2015 ∙ by Jianqing Fan, et al. ∙ 0 ∙ share

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Model Selection in High-Dimensional Misspecified Models

Model selection is indispensable to high-dimensional sparse modeling in ...

12/23/2014 ∙ by Pallavi Basu, et al. ∙ 0 ∙ share

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How Many Communities Are There?

Stochastic blockmodels and variants thereof are among the most widely us...

12/04/2014 ∙ by Diego Franco Saldana, et al. ∙ 0 ∙ share

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Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification

We propose a high dimensional classification method that involves nonpar...

12/31/2013 ∙ by Jianqing Fan, et al. ∙ 0 ∙ share

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Likelihood Adaptively Modified Penalties

A new family of penalty functions, adaptive to likelihood, is introduced...

08/23/2013 ∙ by Yang Feng, et al. ∙ 0 ∙ share

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APPLE: Approximate Path for Penalized Likelihood Estimators

In high-dimensional data analysis, penalized likelihood estimators are s...

11/02/2012 ∙ by Yi Yu, et al. ∙ 0 ∙ share

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A ROAD to Classification in High Dimensional Space

For high-dimensional classification, it is well known that naively perfo...

11/28/2010 ∙ by Jianqing Fan, et al. ∙ 0 ∙ share

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High-dimensional variable selection for Cox's proportional hazards model

Variable selection in high dimensional space has challenged many contemp...

02/17/2010 ∙ by Jianqing Fan, et al. ∙ 0 ∙ share

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Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models

A variable screening procedure via correlation learning was proposed Fan...

12/14/2009 ∙ by Jianqing Fan, et al. ∙ 0 ∙ share

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Refining Source Representations with Relation Networks for Neural Machine Translation

Although neural machine translation (NMT) with the encoder-decoder frame...

09/12/2017 ∙ by Wen Zhang, et al. ∙ 0 ∙ share

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Information-Propogation-Enhanced Neural Machine Translation by Relation Model

Even though sequence-to-sequence neural machine translation (NMT) model ...

09/06/2017 ∙ by Wen Zhang, et al. ∙ 0 ∙ share

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Memory-augmented Neural Machine Translation

Neural machine translation (NMT) has achieved notable success in recent ...

08/07/2017 ∙ by Yang Feng, et al. ∙ 0 ∙ share

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Flexible and Creative Chinese Poetry Generation Using Neural Memory

It has been shown that Chinese poems can be successfully generated by se...

05/10/2017 ∙ by Jiyuan Zhang, et al. ∙ 0 ∙ share

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Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

To ensure undisrupted business, large Internet companies need to closely...

02/12/2018 ∙ by Haowen Xu, et al. ∙ 0 ∙ share

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Partial Distance Correlation Screening for High Dimensional Time Series

High dimensional time series datasets are becoming increasingly common i...

02/26/2018 ∙ by Kashif Yousuf, et al. ∙ 0 ∙ share

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Sparse Linear Discriminant Analysis under the Neyman-Pearson Paradigm

In contrast to the classical binary classification paradigm that minimiz...

02/07/2018 ∙ by Xin Tong, et al. ∙ 0 ∙ share

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Nonparametric Independence Screening via Favored Smoothing Bandwidth

We propose a flexible nonparametric regression method for ultrahigh-dime...

11/28/2017 ∙ by Yang Feng, et al. ∙ 0 ∙ share

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A note on estimation in a simple probit model under dependency

We consider a probit model without covariates, but the latent Gaussian v...

12/27/2017 ∙ by Haolei Weng, et al. ∙ 0 ∙ share

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Large-Scale Model Selection with Misspecification

Model selection is crucial to high-dimensional learning and inference fo...

03/17/2018 ∙ by Emre Demirkaya, et al. ∙ 0 ∙ share

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Pairwise Covariates-adjusted Block Model for Community Detection

One of the most fundamental problems in network study is community detec...

07/10/2018 ∙ by Sihan Huang, et al. ∙ 0 ∙ share

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Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation

Neural machine translation (NMT) models are usually trained with the wor...

09/10/2018 ∙ by Chenze Shao, et al. ∙ 0 ∙ share

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Speeding Up Neural Machine Translation Decoding by Cube Pruning

Although neural machine translation has achieved promising results, it s...

09/09/2018 ∙ by Wen Zhang, et al. ∙ 0 ∙ share

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A likelihood-ratio type test for stochastic block models with bounded degrees

A fundamental problem in network data analysis is to test Erdös-Rényi mo...

07/12/2018 ∙ by Mingao Yuan, et al. ∙ 0 ∙ share

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Improving the Robustness of Speech Translation

Although neural machine translation (NMT) has achieved impressive progre...

11/02/2018 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Unsupervised Image Captioning

Deep neural networks have achieved great successes on the image captioni...

11/27/2018 ∙ by Yang Feng, et al. ∙ 0 ∙ share

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Testing Community Structures for Hypergraphs

Many complex networks in real world can be formulated as hypergraphs whe...

10/10/2018 ∙ by Mingao Yuan, et al. ∙ 0 ∙ share

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A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks

Deep neural networks (DNNs) have been widely used in the fields such as ...

01/01/2019 ∙ by Long Zhang, et al. ∙ 0 ∙ share

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Multi-Winner Contests for Strategic Diffusion in Social Networks

Strategic diffusion encourages participants to take active roles in prom...

11/14/2018 ∙ by Wen Shen, et al. ∙ 0 ∙ share

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Improving Domain Adaptation Translation with Domain Invariant and Specific Information

In domain adaptation for neural machine translation, translation perform...

04/08/2019 ∙ by Shuhao Gu, et al. ∙ 0 ∙ share

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Spatio-temporal Video Re-localization by Warp LSTM

The need for efficiently finding the video content a user wants is incre...

05/10/2019 ∙ by Yang Feng, et al. ∙ 0 ∙ share

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DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost

Deep neural network (DNN) based systems have been deployed to assist var...

03/02/2019 ∙ by Qingkai Shi, et al. ∙ 0 ∙ share

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Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables

Multi-turn conversations consist of complex semantic structures, and it ...

06/18/2019 ∙ by Lei Shen, et al. ∙ 0 ∙ share

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Incremental Transformer with Deliberation Decoder for Document Grounded Conversations

Document Grounded Conversations is a task to generate dialogue responses...

07/20/2019 ∙ by Zekang Li, et al. ∙ 0 ∙ share

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NeuralVis: Visualizing and Interpreting Deep Learning Models

Deep Neural Network(DNN) techniques have been prevalent in software engi...

06/03/2019 ∙ by Xufan Zhang, et al. ∙ 0 ∙ share

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Improving Multi-Head Attention with Capsule Networks

Multi-head attention advances neural machine translation by working out ...

08/31/2019 ∙ by Shuhao Gu, et al. ∙ 0 ∙ share

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Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation

Context modeling is essential to generate coherent and consistent transl...

09/02/2019 ∙ by Zhengxin Yang, et al. ∙ 0 ∙ share

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Unveiling Elite Developers' Activities in Open Source Projects

Open-source developers, particularly the elite developers, maintain a di...

08/22/2019 ∙ by Zhendong Wang, et al. ∙ 0 ∙ share

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Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation

Generally, Neural Machine Translation models generate target words in a ...

11/05/2019 ∙ by Yong Shan, et al. ∙ 0 ∙ share

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Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation

Non-Autoregressive Neural Machine Translation (NAT) achieves significant...

11/21/2019 ∙ by Chenze Shao, et al. ∙ 0 ∙ share

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Modeling Fluency and Faithfulness for Diverse Neural Machine Translation

Neural machine translation models usually adopt the teacher forcing stra...

11/30/2019 ∙ by Yang Feng, et al. ∙ 0 ∙ share

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Software Engineering Practice in the Development of Deep Learning Applications

Deep-Learning(DL) applications have been widely employed to assist in va...

10/08/2019 ∙ by Xufan Zhang, et al. ∙ 0 ∙ share

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Yang Feng

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