b'Yong Xu'

research

∙ 09/14/2023

SpatialCodec: Neural Spatial Speech Coding

In this work, we address the challenge of encoding speech captured by a ...

0 Zhongweiyang Xu, et al. ∙

research

∙ 08/21/2023

EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery

Issue-commit links, as a type of software traceability links, play a vit...

0 Chenyuan Zhang, et al. ∙

research

∙ 06/05/2023

Cross-Modal Vertical Federated Learning for MRI Reconstruction

Federated learning enables multiple hospitals to cooperatively learn a s...

0 Yunlu Yan, et al. ∙

research

∙ 06/04/2023

Graph Transformer for Recommendation

This paper presents a novel approach to representation learning in recom...

0 Chaoliu Li, et al. ∙

research

∙ 05/28/2023

RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring

Refactoring is an indispensable practice of improving the quality and ma...

0 Hao Liu, et al. ∙

research

∙ 03/15/2023

Graph-less Collaborative Filtering

Graph neural networks (GNNs) have shown the power in representation lear...

0 Lianghao Xia, et al. ∙

research

∙ 03/14/2023

Disentangled Graph Social Recommendation

Social recommender systems have drawn a lot of attention in many online ...

0 Lianghao Xia, et al. ∙

research

∙ 03/02/2023

Heterogeneous Graph Contrastive Learning for Recommendation

Graph Neural Networks (GNNs) have become powerful tools in modeling grap...

0 Mengru Chen, et al. ∙

research

∙ 02/17/2023

Multi-Behavior Graph Neural Networks for Recommender System

Recommender systems have been demonstrated to be effective to meet user'...

0 Lianghao Xia, et al. ∙

research

∙ 12/19/2022

Million-scale Object Detection with Large Vision Model

Over the past few years, developing a broad, universal, and general-purp...

0 Feng Lin, et al. ∙

research

∙ 12/01/2022

Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion

Point clouds captured by scanning devices are often incomplete due to oc...

0 Lintai Wu, et al. ∙

research

∙ 11/22/2022

Deep Neural Mel-Subband Beamformer for In-car Speech Separation

While current deep learning (DL)-based beamforming techniques have been ...

0 Vinay Kothapally, et al. ∙

research

∙ 11/14/2022

Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition

Speech emotion recognition (SER) plays a vital role in improving the int...

0 Jiaxin Ye, et al. ∙

research

∙ 10/28/2022

GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition

In human-computer interaction, Speech Emotion Recognition (SER) plays an...

0 Jia-Xin Ye, et al. ∙

research

∙ 10/22/2022

Neural Sound Field Decomposition with Super-resolution of Sound Direction

Sound field decomposition predicts waveforms in arbitrary directions usi...

0 Qiuqiang Kong, et al. ∙

research

∙ 09/28/2022

Prompt-driven efficient Open-set Semi-supervised Learning

Open-set semi-supervised learning (OSSL) has attracted growing interest,...

0 Haoran Li, et al. ∙

research

∙ 08/17/2022

A Survey on Incomplete Multi-view Clustering

Conventional multi-view clustering seeks to partition data into respecti...

0 Jie Wen, et al. ∙

research

∙ 08/05/2022

Localized Sparse Incomplete Multi-view Clustering

Incomplete multi-view clustering, which aims to solve the clustering pro...

1 Chengliang Liu, et al. ∙

research

∙ 07/18/2022

CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition

Speech Emotion Recognition (SER) has become a growing focus of research ...

0 Xin-Cheng Wen, et al. ∙

research

∙ 06/06/2022

Multi-Behavior Sequential Recommendation with Temporal Graph Transformer

Modeling time-evolving preferences of users with their sequential item i...

0 Lianghao Xia, et al. ∙

research

∙ 05/25/2022

Deniable Steganography

Steganography conceals the secret message into the cover media, generati...

0 Yong Xu, et al. ∙

research

∙ 05/20/2022

NeuralEcho: A Self-Attentive Recurrent Neural Network For Unified Acoustic Echo Suppression And Speech Enhancement

Acoustic echo cancellation (AEC) plays an important role in the full-dup...

0 Meng Yu, et al. ∙

research

∙ 04/26/2022

Hypergraph Contrastive Collaborative Filtering

Collaborative Filtering (CF) has emerged as fundamental paradigms for pa...

0 Lianghao Xia, et al. ∙

research

∙ 04/18/2022

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction

Crime has become a major concern in many cities, which calls for the ris...

0 Zhonghang Li, et al. ∙

research

∙ 04/17/2022

Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification

In this paper, we propose a Global-Supervised Contrastive loss and a vie...

0 Zhijun Hu, et al. ∙

research

∙ 03/31/2022

EEND-SS: Joint End-to-End Neural Speaker Diarization and Speech Separation for Flexible Number of Speakers

In this paper, we present a novel framework that jointly performs speake...

0 Yushi Ueda, et al. ∙

research

∙ 03/30/2022

Fine-Grained Object Classification via Self-Supervised Pose Alignment

Semantic patterns of fine-grained objects are determined by subtle appea...

0 Xuhui Yang, et al. ∙

research

∙ 02/17/2022

Contrastive Meta Learning with Behavior Multiplicity for Recommendation

A well-informed recommendation framework could not only help users ident...

0 Wei Wei, et al. ∙

research

∙ 02/14/2022

UniParser: A Unified Log Parser for Heterogeneous Log Data

Logs provide first-hand information for engineers to diagnose failures i...

0 Yudong Liu, et al. ∙

research

∙ 01/07/2022

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction

Crime prediction is crucial for public safety and resource optimization,...

9 Lianghao Xia, et al. ∙

research

∙ 01/07/2022

Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling

Many previous studies aim to augment collaborative filtering with deep n...

0 Lianghao Xia, et al. ∙

research

∙ 12/09/2021

Specificity-Preserving Federated Learning for MR Image Reconstruction

Federated learning (FL) can be used to improve data privacy and efficien...

12 Chun-Mei Feng, et al. ∙

research

∙ 12/02/2021

SwinTrack: A Simple and Strong Baseline for Transformer Tracking

Transformer has recently demonstrated clear potential in improving visua...

0 Liting Lin, et al. ∙

research

∙ 11/09/2021

Joint AEC AND Beamforming with Double-Talk Detection using RNN-Transformer

Acoustic echo cancellation (AEC) is a technique used in full-duplex comm...

0 Vinay Kothapally, et al. ∙

research

∙ 10/15/2021

Multi-modal Aggregation Network for Fast MR Imaging

Magnetic resonance (MR) imaging is a commonly used scanning technique fo...

0 Chun-Mei Feng, et al. ∙

research

∙ 10/08/2021

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks

Social recommendation which aims to leverage social connections among us...

0 Huance Xu, et al. ∙

research

∙ 10/08/2021

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

Accurate forecasting of citywide traffic flow has been playing critical ...

0 Xiyue Zhang, et al. ∙

research

∙ 10/08/2021

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network

Capturing users' precise preferences is of great importance in various r...

0 Lianghao Xia, et al. ∙

research

∙ 10/08/2021

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation

Accurate user and item embedding learning is crucial for modern recommen...

0 Lianghao Xia, et al. ∙

research

∙ 10/08/2021

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation

Session-based recommendation plays a central role in a wide spectrum of ...

0 Chao Huang, et al. ∙

research

∙ 10/08/2021

Knowledge-aware Coupled Graph Neural Network for Social Recommendation

Social recommendation task aims to predict users' preferences over items...

0 Chao Huang, et al. ∙

research

∙ 10/08/2021

Graph Meta Network for Multi-Behavior Recommendation

Modern recommender systems often embed users and items into low-dimensio...

0 Lianghao Xia, et al. ∙

research

∙ 10/08/2021

Social Recommendation with Self-Supervised Metagraph Informax Network

In recent years, researchers attempt to utilize online social informatio...

0 Xiaoling Long, et al. ∙

research

∙ 09/03/2021

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

Super-resolving the Magnetic Resonance (MR) image of a target contrast u...

4 Chun-Mei Feng, et al. ∙

research

∙ 09/02/2021

Heterogeneous relational message passing networks for molecular dynamics simulations

With many frameworks based on message passing neural networks proposed t...

0 Zun Wang, et al. ∙

research

∙ 08/25/2021

Fully Non-Homogeneous Atmospheric Scattering Modeling with Convolutional Neural Networks for Single Image Dehazing

In recent years, single image dehazing models (SIDM) based on atmospheri...

1 Cong Wang, et al. ∙

research

∙ 06/27/2021

Accelerated Multi-Modal MR Imaging with Transformers

Accelerating multi-modal magnetic resonance (MR) imaging is a new and ef...

25 Chun-Mei Feng, et al. ∙

research

∙ 06/26/2021

Dual-Stream Reciprocal Disentanglement Learning for Domain Adaption Person Re-Identification

Since human-labeled samples are free for the target set, unsupervised pe...

0 Huafeng Li, et al. ∙

research

∙ 06/12/2021

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution

The core problem of Magnetic Resonance Imaging (MRI) is the trade off be...

19 Chun-Mei Feng, et al. ∙

research

∙ 05/19/2021

Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

Super-resolution (SR) plays a crucial role in improving the image qualit...

18 Chun-Mei Feng, et al. ∙

Yong Xu

Featured Co-authors