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07/17/2023
A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System
Terahertz communication networks and intelligent reflecting surfaces exh...
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06/27/2023
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs
Neural architecture search (NAS) proves to be among the effective approa...
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05/19/2023
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment
Pre-trained vision-language models have inspired much research on few-sh...
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04/26/2023
An Online Resource Scheduling for Maximizing Quality-of-Experience in Meta Computing
Meta Computing is a new computing paradigm, which aims to solve the prob...
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04/08/2023
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation
Recent advancements in Natural Language Processing (NLP) have led to the...
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01/17/2023
A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd
Mobile CrowdSensing (MCS), through employing considerable workers to sen...
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11/28/2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Robust Model-Agnostic Meta-Learning (MAML) is usually adopted to train a...
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09/13/2022
Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifold
The core problem of text-based person retrieval is how to bridge the het...
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09/13/2022
CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval
Given a natural language description, text-based person retrieval aims t...
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07/25/2022
Contrastive Learning for Interactive Recommendation in Fashion
Recommender systems and search are both indispensable in facilitating pe...
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06/13/2022
A Privacy Glossary for Cloud Computing
Cloud computing is an evolving paradigm that is frequently changing the ...
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03/24/2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Energy-based latent variable models (EBLVMs) are more expressive than co...
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03/21/2022
Delving into the Estimation Shift of Batch Normalization in a Network
Batch normalization (BN) is a milestone technique in deep learning. It n...
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09/12/2021
DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval
Many previous methods on text-based person retrieval tasks are devoted t...
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07/17/2021
Throughput Maximization of UAV Networks
In this paper we study the deployment of multiple unmanned aerial vehicl...
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02/11/2021
Personalized Embedding-based e-Commerce Recommendations at eBay
Recommender systems are an essential component of e-commerce marketplace...
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08/14/2020
First Step Towards Modeling Unbreakable Malware
Currently, the construction of concealed malicious code has become a tre...
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07/30/2019
Multi-Kernel Capsule Network for Schizophrenia Identification
Objective: Schizophrenia seriously affects the quality of life. To date,...
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06/15/2019
A high performance computing method for accelerating temporal action proposal generation
Temporal action proposal generation, coming from temporal action recogni...
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06/15/2019
Improving temporal action proposal generation by using high performance computing
Temporal action proposal generation is an important and challenging prob...
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03/28/2019
AED-Net: An Abnormal Event Detection Network
It is challenging to detect the anomaly in crowded scenes for quite a lo...
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02/09/2019
Region based Ensemble Learning Network for Fine-grained Classification
As an important research topic in computer vision, fine-grained classifi...
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02/09/2019
HE-SLAM: a Stereo SLAM System Based on Histogram Equalization and ORB Features
In the real-life environments, due to the sudden appearance of windows, ...
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09/22/2017
Attention-based Mixture Density Recurrent Networks for History-based Recommendation
The goal of personalized history-based recommendation is to automaticall...
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07/01/2017
SAM: Semantic Attribute Modulation for Language Modeling and Style Variation
This paper presents a Semantic Attribute Modulation (SAM) for language m...
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11/17/2015
Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural Networks
Traditional methods to tackle many music information retrieval tasks typ...
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11/11/2015