b'Ziyang Wang'

research

∙ 09/18/2023

Unified Coarse-to-Fine Alignment for Video-Text Retrieval

The canonical approach to video-text retrieval leverages a coarse-graine...

0 Ziyang Wang, et al. ∙

research

∙ 10/19/2022

A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss

For readability assessment, traditional methods mainly employ machine le...

0 Wenbiao Li, et al. ∙

research

∙ 10/11/2022

EllipsoNet: Deep-learning-enabled optical ellipsometry for complex thin films

Optical spectroscopy is indispensable for research and development in na...

0 Ziyang Wang, et al. ∙

research

∙ 09/01/2022

Focus-Driven Contrastive Learniang for Medical Question Summarization

Automatic medical question summarization can significantly help the syst...

0 Ming Zhang, et al. ∙

research

∙ 08/27/2022

Multi-level Contrastive Learning Framework for Sequential Recommendation

Sequential recommendation (SR) aims to predict the subsequent behaviors ...

0 Ziyang Wang, et al. ∙

research

∙ 08/22/2022

Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

Incorporating Knowledge Graphs (KG) into recommeder system has attracted...

0 Ding Zou, et al. ∙

research

∙ 08/12/2022

When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation

Due to the lack of quality annotation in medical imaging community, semi...

0 Ziyang Wang, et al. ∙

research

∙ 08/12/2022

Triple-View Feature Learning for Medical Image Segmentation

Deep learning models, e.g. supervised Encoder-Decoder style networks, ex...

0 Ziyang Wang, et al. ∙

research

∙ 06/18/2022

Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks

Existing online recruitment platforms depend on automatic ways of conduc...

0 Ziyang Wang, et al. ∙

research

∙ 06/05/2022

Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning

Rapid identification of newly emerging or circulating viruses is an impo...

0 Jiarong Ye, et al. ∙

research

∙ 06/04/2022

Recurrent Image Registration using Mutual Attention based Network

Image registration is an important task in medical imaging which estimat...

0 Jian-Qing Zheng, et al. ∙

research

∙ 04/19/2022

Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System

Knowledge graph (KG) plays an increasingly important role in recommender...

0 Ding Zou, et al. ∙

research

∙ 03/07/2022

Residual Aligner Network

Image registration is important for medical imaging, the estimation of t...

20 Jian-Qing Zheng, et al. ∙

research

∙ 10/14/2021

Region Semantically Aligned Network for Zero-Shot Learning

Zero-shot learning (ZSL) aims to recognize unseen classes based on the k...

0 Ziyang Wang, et al. ∙

research

∙ 06/09/2021

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

Session-based recommendation (SBR) is a challenging task, which aims at ...

0 Ziyang Wang, et al. ∙

research

∙ 04/08/2021

Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images

Automatic medical image segmentation based on Computed Tomography (CT) h...

0 Wenqiang Li, et al. ∙

research

∙ 03/09/2021

Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT

COVID-19, a new strain of coronavirus disease, has been one of the most ...

0 Ziyang Wang, et al. ∙

research

∙ 12/27/2020

Learning Light-Weight Translation Models from Deep Transformer

Recently, deep models have shown tremendous improvements in neural machi...

19 Bei Li, et al. ∙

research

∙ 12/10/2020

Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation

Session-based recommendation (SBR) is a challenging task, which aims to ...

0 Ziyang Wang, et al. ∙

research

∙ 11/20/2020

Exploring Global Information for Session-based Recommendation

Session-based recommendation (SBR) is a challenging task, which aims at ...

0 Ziyang Wang, et al. ∙

research

∙ 11/16/2020

User-based Network Embedding for Collective Opinion Spammer Detection

Due to the huge commercial interests behind online reviews, a tremendous...

0 Ziyang Wang, et al. ∙

research

∙ 10/08/2020

Shallow-to-Deep Training for Neural Machine Translation

Deep encoders have been proven to be effective in improving neural machi...

0 Bei Li, et al. ∙

research

∙ 09/27/2020

RRA-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels

Segmentation algorithms of medical image volumes are widely studied for ...

0 Ziyang Wang, et al. ∙

research

∙ 09/19/2020

Weight Distillation: Transferring the Knowledge in Neural Network Parameters

Knowledge distillation has been proven to be effective in model accelera...

0 Ye Lin, et al. ∙

research

∙ 05/07/2020

Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation

In encoder-decoder neural models, multiple encoders are in general used ...

0 Bei Li, et al. ∙

research

∙ 02/18/2020

Deep Learning in Medical Ultrasound Image Segmentation: a Review

Applying machine learning technologies, especially deep learning, into m...

0 Ziyang Wang, et al. ∙

research

∙ 02/11/2020

A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare

With the increasing awareness of high-quality life, there is a growing n...

23 Ziyang Wang, et al. ∙

research

∙ 02/11/2020

A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images

As Deep Convolutional Neural Networks (DCNNs) have shown robust performa...

2 Zhengdong Zhang, et al. ∙

research

∙ 08/22/2019

Multi-level Graph Drawing using Infomap Clustering

Infomap clustering finds the community structures that minimize the expe...

0 Seok-Hee Hong, et al. ∙

Ziyang Wang

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