b'Jingyi Zhang'

research

∙ 08/25/2023

Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory

Black-box unsupervised domain adaptation (UDA) learns with source predic...

0 Jingyi Zhang, et al. ∙

research

∙ 06/29/2023

Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation

Traditional domain adaptation assumes the same vocabulary across source ...

0 Jiaxing Huang, et al. ∙

research

∙ 04/20/2023

Exploring Paracrawl for Document-level Neural Machine Translation

Document-level neural machine translation (NMT) has outperformed sentenc...

0 Yusser Al Ghussin, et al. ∙

research

∙ 04/03/2023

Vision-Language Models for Vision Tasks: A Survey

Most visual recognition studies rely heavily on crowd-labelled data in d...

0 Jingyi Zhang, et al. ∙

research

∙ 03/27/2023

Semantic-visual Guided Transformer for Few-shot Class-incremental Learning

Few-shot class-incremental learning (FSCIL) has recently attracted exten...

0 Wenhao Qiu, et al. ∙

research

∙ 03/01/2023

Indescribable Multi-modal Spatial Evaluator

Multi-modal image registration spatially aligns two images with differen...

0 Lingke Kong, et al. ∙

research

∙ 01/03/2023

PMT-IQA: Progressive Multi-task Learning for Blind Image Quality Assessment

Blind image quality assessment (BIQA) remains challenging due to the div...

0 Qingyi Pan, et al. ∙

research

∙ 12/01/2022

Domain Adaptive Scene Text Detection via Subcategorization

Most existing scene text detectors require large-scale training data whi...

0 Zichen Tian, et al. ∙

research

∙ 09/01/2022

CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach

Cybersecurity breaches are the common anomalies for distributed cyber-ph...

0 Junyi Liu, et al. ∙

research

∙ 08/25/2022

Functional varying index coefficient model for dynamic gene-environment interactions

Rooted in genetics, human complex diseases are largely influenced by env...

0 Jingyi Zhang, et al. ∙

research

∙ 08/24/2022

Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors

Multi-scale features have been proven highly effective for object detect...

0 Gongjie Zhang, et al. ∙

research

∙ 08/09/2022

Automating DBSCAN via Deep Reinforcement Learning

DBSCAN is widely used in many scientific and engineering fields because ...

26 Ruitong Zhang, et al. ∙

research

∙ 06/30/2022

Hierarchical Mask Calibration for Unified Domain Adaptive Panoptic Segmentation

Domain adaptive panoptic segmentation aims to mitigate data annotation c...

0 Jingyi Zhang, et al. ∙

research

∙ 05/31/2022

An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation

Subsampling methods aim to select a subsample as a surrogate for the obs...

0 Jingyi Zhang, et al. ∙

research

∙ 03/28/2022

LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds

Existing motion capture datasets are largely short-range and cannot yet ...

26 Jialian Li, et al. ∙

research

∙ 07/13/2021

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

The divide-and-conquer method has been widely used for estimating large-...

0 Jingyi Zhang, et al. ∙

research

∙ 06/11/2021

Spectral Unsupervised Domain Adaptation for Visual Recognition

Unsupervised domain adaptation (UDA) aims to learn a well-performed mode...

0 Jingyi Zhang, et al. ∙

research

∙ 06/09/2021

Large-scale optimal transport map estimation using projection pursuit

This paper studies the estimation of large-scale optimal transport maps ...

0 Cheng Meng, et al. ∙

research

∙ 05/20/2021

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...

0 Jingyi Zhang, et al. ∙

research

∙ 04/16/2021

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Graph Neural Networks (GNNs) have been widely used for the representatio...

23 Hao Peng, et al. ∙

research

∙ 04/02/2021

A Detector-oblivious Multi-arm Network for Keypoint Matching

This paper presents a matching network to establish point correspondence...

0 Xuelun Shen, et al. ∙

research

∙ 03/31/2021

DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention

The prevalent approach in domain adaptive object detection adopts a two-...

0 Jingyi Zhang, et al. ∙

research

∙ 03/09/2021

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation

To generate "accurate" scene graphs, almost all existing methods predict...

0 Gengcong Yang, et al. ∙

research

∙ 02/24/2021

Self-Domain Adaptation for Face Anti-Spoofing

Although current face anti-spoofing methods achieve promising results un...

0 Jingjing Wang, et al. ∙

research

∙ 11/09/2020

Dual ResGCN for Balanced Scene GraphGeneration

Visual scene graph generation is a challenging task. Previous works have...

0 Jingyi Zhang, et al. ∙

research

∙ 10/19/2020

Sufficient dimension reduction for classification using principal optimal transport direction

Sufficient dimension reduction is used pervasively as a supervised dimen...

0 Cheng Meng, et al. ∙

research

∙ 08/07/2020

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...

0 Jingyi Zhang, et al. ∙

research

∙ 06/25/2020

Learning Source Phrase Representations for Neural Machine Translation

The Transformer translation model (Vaswani et al., 2017) based on a mult...

0 Hongfei Xu, et al. ∙

research

∙ 03/24/2020

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

We consider the problem of approximating smoothing spline estimators in ...

0 Cheng Meng, et al. ∙

research

∙ 11/15/2019

DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction

Distant Supervised Relation Extraction (DSRE) is usually formulated as a...

0 Yanjie Gou, et al. ∙

research

∙ 11/08/2019

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

The Transformer translation model employs residual connection and layer ...

0 Hongfei Xu, et al. ∙

research

∙ 04/07/2018

Guiding Neural Machine Translation with Retrieved Translation Pieces

One of the difficulties of neural machine translation (NMT) is the recal...

0 Jingyi Zhang, et al. ∙

research

∙ 11/01/2017

Improving Neural Machine Translation through Phrase-based Forced Decoding

Compared to traditional statistical machine translation (SMT), neural ma...

0 Jingyi Zhang, et al. ∙

Jingyi Zhang

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