Wuhan University of Technology

research

∙ 01/19/2022

Dual Space Graph Contrastive Learning

Unsupervised graph representation learning has emerged as a powerful too...

Haoran Yang, et al. ∙

research

∙ 03/29/2022

A Distribution Evolutionary Algorithm for Graph Coloring

Graph Coloring Problem (GCP) is a classic combinatorial optimization pro...

Yongjian Xu, et al. ∙

research

∙ 07/19/2020

Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

Since edge device failures (i.e., anomalies) seriously affect the produc...

YI LIU, et al. ∙

research

∙ 01/29/2020

Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study

Known as two cornerstones of problem solving by search, exploitation and...

Yu Chen, et al. ∙

research

∙ 07/21/2020

Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach

Few-shot learning is a challenging problem that has attracted more and m...

Xian Zhong, et al. ∙

research

∙ 10/22/2021

Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering

This paper introduces a two-phase deep feature engineering framework for...

Zhongwei Xie, et al. ∙

research

∙ 09/07/2021

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation

User purchasing prediction with multi-behavior information remains a cha...

Haoran Yang, et al. ∙

research

∙ 11/24/2019

Deep Visual Waterline Detection within Inland Marine Environment

Waterline usually plays as an important visual cue for maritime applicat...

Jing Huang, et al. ∙

research

∙ 11/24/2021

Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation

Recent advances in path-based explainable recommendation systems have at...

Yicong Li, et al. ∙

research

∙ 08/09/2021

Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images

This paper presents a three-tier modality alignment approach to learning...

Zhongwei Xie, et al. ∙

research

∙ 12/16/2015

Inferring Gene Regulatory Network Using An Evolutionary Multi-Objective Method

Inference of gene regulatory networks (GRNs) based on experimental data ...

Yu Chen, et al. ∙

research

∙ 02/01/2015

Feature Selection with Redundancy-complementariness Dispersion

Feature selection has attracted significant attention in data mining and...

Zhijun Chen, et al. ∙

research

∙ 12/16/2015

Finding Needles in a Haystack: Missing Tag Detection in Large RFID Systems

Radio frequency identification (RFID) technology has been widely used in...

Jihong Yu, et al. ∙

research

∙ 02/05/2018

The Sea Exploration Problem: Data-driven Orienteering on a Continuous Surface

This paper describes a problem arising in sea exploration, where the aim...

João Pedro Pedroso, et al. ∙

research

∙ 05/01/2018

Object Activity Scene Description, Construction and Recognition

Action recognition is a critical task for social robots to meaningfully ...

Hui Feng, et al. ∙

research

∙ 08/12/2018

Fine-grained visual recognition with salient feature detection

Computer vision based fine-grained recognition has received great attent...

Hui Feng, et al. ∙

research

∙ 10/05/2018

On a Theorem of Kyureghyan and Pott

In the paper of Gohar M. Kyureghyan and Alexander Pott (Designs, Codes a...

Minglong Qi, et al. ∙

research

∙ 10/09/2018

The combination of context information to enhance simple question answering

With the rapid development of knowledge base,question answering based on...

Zhaohui Chao, et al. ∙

research

∙ 10/04/2018

Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings

Image-to-video person re-identification identifies a target person by a ...

Zhongwei Xie, et al. ∙

research

∙ 10/09/2018

Using Sentiment Representation Learning to Enhance Gender Classification for User Profiling

User profiling means exploiting the technology of machine learning to pr...

Yunpei Zheng, et al. ∙

research

∙ 10/09/2018

An Instance Transfer based Approach Using Enhanced Recurrent Neural Network for Domain Named Entity Recognition

Recently, neural networks have shown promising results for named entity ...

Lin Li, et al. ∙

research

∙ 01/17/2019

Two classes of linear codes with a few weights based on twisted Kloosterman sums

Linear codes with a few weights have wide applications in information se...

Minglong Qi, et al. ∙

research

∙ 02/19/2019

Directional Regularized Tensor Modeling for Video Rain Streaks Removal

Outdoor videos sometimes contain unexpected rain streaks due to the rain...

Zhaoyang Sun, et al. ∙

research

∙ 02/19/2019

Variational Regularized Transmission Refinement for Image Dehazing

High-quality dehazing performance is highly dependent upon the accurate ...

Qiaoling Shu, et al. ∙

research

∙ 04/02/2019

New Kloosterman sum identities from the Helleseth-Zinoviev result on Z_4-linear Goethals codes

In the paper of Tor Helleseth and Victor Zinoviev (Designs, Codes and Cr...

Minglong Qi, et al. ∙

research

∙ 04/27/2019

Using Context Information to Enhance Simple Question Answering

With the rapid development of knowledge bases(KBs),question answering(QA...

Lin Li, et al. ∙

research

∙ 05/13/2019

Medical image super-resolution method based on dense blended attention network

In order to address the issue that medical image would suffer from sever...

Kewen Liu, et al. ∙

research

∙ 05/13/2019

Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction

Reliable and accurate prediction of time series plays a crucial role in ...

Yan Li, et al. ∙

research

∙ 06/15/2019

Single Image Super-resolution via Dense Blended Attention Generative Adversarial Network for Clinical Diagnosis

In clinical diagnosis, doctors are able to see biological tissues and ea...

Kewen Liu, et al. ∙

research

∙ 07/04/2019

An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning

Multi-label charge prediction is a task to predict the corresponding acc...

Duan Wei, et al. ∙

research

∙ 07/04/2019

An Item Recommendation Approach by Fusing Images based on Neural Networks

There are rich formats of information in the network, such as rating, te...

Weibin Lin, et al. ∙

research

∙ 09/03/2019

Estimating Approximation Errors of Elitist Evolutionary Algorithms

When EAs are unlikely to locate precise global optimal solutions with sa...

Cong Wang, et al. ∙

research

∙ 11/08/2019

Image Super-Resolution via Residual Blended Attention Generative Adversarial Network with Dual Discriminators

This paper develops an image super-resolution algorithm based on residua...

Yuan Ma, et al. ∙

research

∙ 12/02/2019

Patchy Image Structure Classification Using Multi-Orientation Region Transform

Exterior contour and interior structure are both vital features for clas...

Xiaohan Yu, et al. ∙

research

∙ 03/27/2020

Local Facial Makeup Transfer via Disentangled Representation

Facial makeup transfer aims to render a non-makeup face image in an arbi...

Zhaoyang Sun, et al. ∙

research

∙ 04/19/2020

GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries

The automatic identification system (AIS), an automatic vessel-tracking ...

Yu Huang, et al. ∙

research

∙ 08/02/2021

Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning

This paper introduces a two-phase deep feature calibration framework for...

Zhongwei Xie, et al. ∙

research

∙ 09/27/2021

Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information

Context: Stack Overflow is very helpful for software developers who are ...

Fengji Zhang, et al. ∙

research

∙ 10/16/2021

Visual-aware Attention Dual-stream Decoder for Video Captioning

Video captioning is a challenging task that captures different visual pa...

Zhixin Sun, et al. ∙

research

∙ 12/13/2021

Max-Min Energy-Efficiency Fair Optimization in STAR-RIS Assisted System

In this paper, we investigate simultaneously transmitting and reflecting...

RuiTianYi Lu, et al. ∙

research

∙ 02/14/2022

What is Next when Sequential Prediction Meets Implicitly Hard Interaction?

Hard interaction learning between source sequences and their next target...

Kaixi Hu, et al. ∙

research

∙ 04/02/2022

Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer

With the rapid development of cloud manufacturing, industrial production...

Shiyao Ma, et al. ∙

research

∙ 05/24/2022

MealRec: A Meal Recommendation Dataset

Bundle recommendation systems aim to recommend a bundle of items for a u...

Ming Li, et al. ∙

research

∙ 07/17/2022

Stroke-Based Autoencoders: Self-Supervised Learners for Efficient Zero-Shot Chinese Character Recognition

Chinese characters carry a wealth of morphological and semantic informat...

Zongze Chen, et al. ∙

Wuhan University of Technology

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