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Article
Hyper-relational knowledge graph neural network for next POI recommendation
With the advancement of mobile technology, Point of Interest (POI) recommendation systems in Location-based Social Networks (LBSN) have brought numerous benefits to both users and companies. Many existing work...
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Article
Text-assisted attention-based cross-modal hashing
As one of the hottest research topics in multimedia information retrieval, cross-modal hashing has drawn widespread attention in the past decades. How to minimize the semantic gap of heterogeneous data and acc...
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Article
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation
Friend recommendation from user trajectory is a vital real-world application of location-based social networks (LBSN) services. Previous statistical analysis indicated that social network relationships could e...
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Article
Perceived usefulness predicts second language learners’ continuance intention toward language learning applications: a serial multiple mediation model of integrative motivation and flow
Mobile language learning has attracted much attention in recent years. Previous research has demonstrated a relationship between perceived usefulness and continuance intention to use technology. This study use...
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Chapter and Conference Paper
D2D-Based Multi-relay-Assisted Computation Offloading in Edge Computing Network
With the rapid development of edge computing, a large number of compute-intensive tasks are offloaded to the edge server, and computation offloading strategy has become a hot research topic. Because the deploy...
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Chapter and Conference Paper
Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19
Modeling and predicting human mobility are of great significance to various application scenarios such as intelligent transportation system, crowd management, and disaster response. In particular, in a severe ...
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Chapter and Conference Paper
The Eighth Visual Object Tracking VOT2020 Challenge Results
The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers publish...
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Chapter and Conference Paper
Cross Fusion for Egocentric Interactive Action Recognition
The characteristics of egocentric interactive videos, which include heavy ego-motion, frequent viewpoint changes and multiple types of activities, hinder the action recognition methods of third-person vision f...
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Chapter and Conference Paper
Capability Assessment of Networking Information-Centric System of Systems: Review and Prospect
This paper reviews the research progress of capability assessment of the networking information-centric system of systems. The concept, characteristics and capability structure of the networking information-ce...
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Chapter and Conference Paper
Federated Acoustic Model Optimization for Automatic Speech Recognition
Traditional Automatic Speech Recognition (ASR) systems are usually trained with speech records centralized on the ASR vendor’s machines. However, with data regulations such as General Data Protection Regulatio...
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Chapter and Conference Paper
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations
Deep encoder-decoder based CNNs have advanced image inpainting methods for hole filling. While existing methods recover structures and textures step-by-step in the hole regions, they typically use two encoder-...
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Article
A novel temporal and topic-aware recommender model
Individuals’ interests and concerning topics are generally changing over time, with strong impact on their behaviors in social media. Accordingly, designing an intelligent recommender system which can adapt wi...
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Chapter and Conference Paper
An Interpretable Recommendations Approach Based on User Preferences and Knowledge Graph
In recent years, how to accurately recommend and solve the opacity of the recommendation system has received more and more attention. Some researchers introduced some auxiliary information into the recommendat...
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Chapter and Conference Paper
Analysis on the Block Reward of Fork After Withholding (FAW)
The irreversible trend in clustering of mining power raises severe concerns on stability and security of PoW based on cryptocurrency. It has been shown that, in some case, reward of a mining pool can be signif...
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Article
Retrieving Aerial Scene Images with Learned Deep Image-Sketch Features
This paper investigates the problem of retrieving aerial scene images by using semantic sketches, since the state-of-the-art retrieval systems turn out to be invalid when there is no exemplar query aerial imag...
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Article
Evolution of Cloud Operating System: From Technology to Ecosystem
The cloud operating system (cloud OS) is used for managing the cloud resources such that they can be used effectively and efficiently. And also it is the duty of cloud OS to provide convenient interface for us...
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Chapter and Conference Paper
Epileptic Seizure Detection Using EEGs Based on Kernel Radius of Intrinsic Mode Functions
The study of automated epileptic seizure detection using EEGs has attracted more and more researchers in these decades. How to extract appropriate features in EEGs, which can be applied to differentiate non-se...
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Chapter and Conference Paper
On Optimizing Partitioning Strategies for Faster Inverted Index Compression
Inverted index is a key component for search engine to manage billions of documents and fast respond to users’ queries. While substantial effort has been made to compromise space occupancy and decoding speed, ...
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Chapter and Conference Paper
A Parallel Multiple K-Means Clustering and Application on Detect Near Native Model
Protein structure clustering is an important and essential step in protein 3D structure prediction. However, two issues limited current methods. But the large-scale candidate models in the decoy and undisting...
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Article
Communicating Is Crowdsourcing: Wi-Fi Indoor Localization with CSI-Based Speed Estimation
Numerous indoor localization techniques have been proposed recently to meet the intensive demand for location-based service (LBS). Among them, the most popular solutions are the Wi-Fi fingerprint-based approac...