Jingyi Zhang

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Xiamen University ∙ University of Georgia ∙ DFKI GmbH ∙ Tsinghua University

Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression

The divide-and-conquer method has been widely used for estimating large-...
07/13/2021 ∙ by Jingyi Zhang, et al. ∙ 0 ∙ share

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Spectral Unsupervised Domain Adaptation for Visual Recognition

Unsupervised domain adaptation (UDA) aims to learn a well-performed mode...
06/11/2021 ∙ by Jingyi Zhang, et al. ∙ 0 ∙ share

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Large-scale optimal transport map estimation using projection pursuit

This paper studies the estimation of large-scale optimal transport maps ...
06/09/2021 ∙ by Cheng Meng, et al. ∙ 0 ∙ share

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Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors

Background: Extensive clinical evidence suggests that a preventive scree...
05/20/2021 ∙ by Jingyi Zhang, et al. ∙ 0 ∙ share

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Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Graph Neural Networks (GNNs) have been widely used for the representatio...
04/16/2021 ∙ by Hao Peng, et al. ∙ 23 ∙ share

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A Detector-oblivious Multi-arm Network for Keypoint Matching

This paper presents a matching network to establish point correspondence...
04/02/2021 ∙ by Xuelun Shen, et al. ∙ 0 ∙ share

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DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention

The prevalent approach in domain adaptive object detection adopts a two-...
03/31/2021 ∙ by Jingyi Zhang, et al. ∙ 0 ∙ share

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Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation

To generate "accurate" scene graphs, almost all existing methods predict...
03/09/2021 ∙ by Gengcong Yang, et al. ∙ 0 ∙ share

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Self-Domain Adaptation for Face Anti-Spoofing

Although current face anti-spoofing methods achieve promising results un...
02/24/2021 ∙ by Jingjing Wang, et al. ∙ 0 ∙ share

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Dual ResGCN for Balanced Scene GraphGeneration

Visual scene graph generation is a challenging task. Previous works have...
11/09/2020 ∙ by Jingyi Zhang, et al. ∙ 0 ∙ share

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Sufficient dimension reduction for classification using principal optimal transport direction

Sufficient dimension reduction is used pervasively as a supervised dimen...
10/19/2020 ∙ by Cheng Meng, et al. ∙ 0 ∙ share

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A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research

Optimal transport has been one of the most exciting subjects in mathemat...
08/07/2020 ∙ by Jingyi Zhang, et al. ∙ 0 ∙ share

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Learning Source Phrase Representations for Neural Machine Translation

The Transformer translation model (Vaswani et al., 2017) based on a mult...
06/25/2020 ∙ by Hongfei Xu, et al. ∙ 0 ∙ share

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More efficient approximation of smoothing splines via space-filling basis selection

We consider the problem of approximating smoothing spline estimators in ...
03/24/2020 ∙ by Cheng Meng, et al. ∙ 0 ∙ share

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DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction

Distant Supervised Relation Extraction (DSRE) is usually formulated as a...
11/15/2019 ∙ by Yanjie Gou, et al. ∙ 0 ∙ share

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Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization

The Transformer translation model employs residual connection and layer ...
11/08/2019 ∙ by Hongfei Xu, et al. ∙ 0 ∙ share

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Guiding Neural Machine Translation with Retrieved Translation Pieces

One of the difficulties of neural machine translation (NMT) is the recal...
04/07/2018 ∙ by Jingyi Zhang, et al. ∙ 0 ∙ share

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Improving Neural Machine Translation through Phrase-based Forced Decoding

Compared to traditional statistical machine translation (SMT), neural ma...
11/01/2017 ∙ by Jingyi Zhang, et al. ∙ 0 ∙ share

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Jingyi Zhang

Featured Co-authors

Philip S. Yu

Graham Neubig

Xin Li

Yi Li

Hao Peng

Jun Yu

Shiliang Pu

Cheng Wang

Shijian Lu

Lingqiao Liu

Satoshi Nakamura

Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression

Spectral Unsupervised Domain Adaptation for Visual Recognition

Large-scale optimal transport map estimation using projection pursuit

Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

A Detector-oblivious Multi-arm Network for Keypoint Matching

DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation

Self-Domain Adaptation for Face Anti-Spoofing

Dual ResGCN for Balanced Scene GraphGeneration

Sufficient dimension reduction for classification using principal optimal transport direction

A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research

Learning Source Phrase Representations for Neural Machine Translation

More efficient approximation of smoothing splines via space-filling basis selection

DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction

Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization

Guiding Neural Machine Translation with Retrieved Translation Pieces

Improving Neural Machine Translation through Phrase-based Forced Decoding