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09/14/2023
SpatialCodec: Neural Spatial Speech Coding
In this work, we address the challenge of encoding speech captured by a ...
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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...
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06/05/2023
Cross-Modal Vertical Federated Learning for MRI Reconstruction
Federated learning enables multiple hospitals to cooperatively learn a s...
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06/04/2023
Graph Transformer for Recommendation
This paper presents a novel approach to representation learning in recom...
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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...
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03/15/2023
Graph-less Collaborative Filtering
Graph neural networks (GNNs) have shown the power in representation lear...
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03/14/2023
Disentangled Graph Social Recommendation
Social recommender systems have drawn a lot of attention in many online ...
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03/02/2023
Heterogeneous Graph Contrastive Learning for Recommendation
Graph Neural Networks (GNNs) have become powerful tools in modeling grap...
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02/17/2023
Multi-Behavior Graph Neural Networks for Recommender System
Recommender systems have been demonstrated to be effective to meet user'...
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12/19/2022
Million-scale Object Detection with Large Vision Model
Over the past few years, developing a broad, universal, and general-purp...
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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...
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11/22/2022
Deep Neural Mel-Subband Beamformer for In-car Speech Separation
While current deep learning (DL)-based beamforming techniques have been ...
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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...
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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...
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10/22/2022
Neural Sound Field Decomposition with Super-resolution of Sound Direction
Sound field decomposition predicts waveforms in arbitrary directions usi...
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09/28/2022
Prompt-driven efficient Open-set Semi-supervised Learning
Open-set semi-supervised learning (OSSL) has attracted growing interest,...
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08/17/2022
A Survey on Incomplete Multi-view Clustering
Conventional multi-view clustering seeks to partition data into respecti...
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08/05/2022
Localized Sparse Incomplete Multi-view Clustering
Incomplete multi-view clustering, which aims to solve the clustering pro...
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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 ...
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06/06/2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Modeling time-evolving preferences of users with their sequential item i...
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05/25/2022
Deniable Steganography
Steganography conceals the secret message into the cover media, generati...
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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...
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04/26/2022
Hypergraph Contrastive Collaborative Filtering
Collaborative Filtering (CF) has emerged as fundamental paradigms for pa...
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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...
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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...
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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...
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03/30/2022
Fine-Grained Object Classification via Self-Supervised Pose Alignment
Semantic patterns of fine-grained objects are determined by subtle appea...
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02/17/2022
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
A well-informed recommendation framework could not only help users ident...
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02/14/2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Logs provide first-hand information for engineers to diagnose failures i...
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01/07/2022
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction
Crime prediction is crucial for public safety and resource optimization,...
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01/07/2022
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling
Many previous studies aim to augment collaborative filtering with deep n...
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12/09/2021
Specificity-Preserving Federated Learning for MR Image Reconstruction
Federated learning (FL) can be used to improve data privacy and efficien...
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12/02/2021
SwinTrack: A Simple and Strong Baseline for Transformer Tracking
Transformer has recently demonstrated clear potential in improving visua...
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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...
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10/15/2021
Multi-modal Aggregation Network for Fast MR Imaging
Magnetic resonance (MR) imaging is a commonly used scanning technique fo...
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10/08/2021
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks
Social recommendation which aims to leverage social connections among us...
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10/08/2021
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Accurate forecasting of citywide traffic flow has been playing critical ...
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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...
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10/08/2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Accurate user and item embedding learning is crucial for modern recommen...
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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 ...
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10/08/2021
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Social recommendation task aims to predict users' preferences over items...
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10/08/2021
Graph Meta Network for Multi-Behavior Recommendation
Modern recommender systems often embed users and items into low-dimensio...
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10/08/2021
Social Recommendation with Self-Supervised Metagraph Informax Network
In recent years, researchers attempt to utilize online social informatio...
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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...
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09/02/2021
Heterogeneous relational message passing networks for molecular dynamics simulations
With many frameworks based on message passing neural networks proposed t...
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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...
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06/27/2021
Accelerated Multi-Modal MR Imaging with Transformers
Accelerating multi-modal magnetic resonance (MR) imaging is a new and ef...
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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...
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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...
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05/19/2021