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09/05/2023
Dual Auction Mechanism for Transaction Forwarding and Validation in Complex Wireless Blockchain Network
In traditional blockchain networks, transaction fees are only allocated ...
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07/31/2023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
The advent of large language models marks a revolutionary breakthrough i...
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05/04/2023
Forward-Forward Contrastive Learning
Medical image classification is one of the most important tasks for comp...
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04/07/2023
Meta-causal Learning for Single Domain Generalization
Single domain generalization aims to learn a model from a single trainin...
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01/20/2023
DiffusionCT: Latent Diffusion Model for CT Image Standardization
Computed tomography (CT) imaging is a widely used modality for early lun...
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10/25/2022
Connectivity-Aware Contract for Incentivizing IoT Devices in Complex Wireless Blockchain
Blockchain is considered the critical backbone technology for secure and...
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09/18/2022
Bootstrap Generalization Ability from Loss Landscape Perspective
Domain generalization aims to learn a model that can generalize well on ...
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06/28/2022
Cooperative Retriever and Ranker in Deep Recommenders
Deep recommender systems jointly leverage the retrieval and ranking oper...
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06/03/2022
Multivariate Sparse Group Lasso Joint Model for Radiogenomics Data
Radiogenomics is an emerging field in cancer research that combines medi...
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05/30/2022
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
Recommender retrievers aim to rapidly retrieve a fraction of items from ...
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01/19/2022
FRA-LSTM: A Vessel Trajectory Prediction Method Based on Fusion of the Forward and Reverse Sub-Network
In order to improve the vessel's capacity and ensure maritime traffic sa...
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10/19/2021
Cross-Vendor CT Image Data Harmonization Using CVH-CT
While remarkable advances have been made in Computed Tomography (CT), mo...
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09/13/2021
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
Variational AutoEncoder (VAE) has been extended as a representative nonl...
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09/02/2021
Learning 3D Mineral Prospectivity from 3D Geological Models with Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit
The three-dimensional (3D) geological models are the typical and key dat...
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07/03/2021
CT Image Harmonization for Enhancing Radiomics Studies
While remarkable advances have been made in Computed Tomography (CT), ca...
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03/16/2021
Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer
Opioid Use Disorder (OUD) is a public health crisis costing the US billi...
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03/09/2021
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
With the rapid development of deep learning, many deep learning based ap...
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03/02/2021
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure
Ad creatives are one of the prominent mediums for online e-commerce adve...
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02/28/2021
Automated Creative Optimization for E-Commerce Advertising
Advertising creatives are ubiquitous in E-commerce advertisements and ae...
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06/25/2020
ELMV: a Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values
Many real-world Electronic Health Record (EHR) data contains a large pro...
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04/02/2020
STAN-CT: Standardizing CT Image using Generative Adversarial Network
Computed tomography (CT) plays an important role in lung malignancy diag...
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03/27/2020
Dynamic Region-Aware Convolution
We propose a new convolution called Dynamic Region-Aware Convolution (DR...
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03/13/2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Co-saliency detection aims to discover the common and salient foreground...
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01/02/2020
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network
Due to a variety of motions across different frames, it is highly challe...
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11/29/2019
Deep Object Co-segmentation via Spatial-Semantic Network Modulation
Object co-segmentation is to segment the shared objects in multiple rele...
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07/04/2019
DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning
We propose a deep learning-based technique for detection and quantificat...
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05/10/2019
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation
Partial domain adaptation aims to transfer knowledge from a label-rich s...
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12/04/2018
A Game-Theoretic Learning Framework for Multi-Agent Intelligent Wireless Networks
In this article, we introduce a game-theoretic learning framework for th...
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05/29/2018
Network-Connected UAV Communications: Potentials and Challenges
This article explores the use of network-connected unmanned aerial vehic...
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11/29/2017
Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer
By means of network densification, ultra dense networks (UDNs) can effic...
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05/02/2015