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06/26/2023
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction
Avatars, as promising digital assistants in Vehicular Metaverses, can en...
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06/17/2023
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion
To solve the inherent incompleteness of knowledge graphs (KGs), numbers ...
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06/13/2023
Contextual Dictionary Lookup for Knowledge Graph Completion
Knowledge graph completion (KGC) aims to solve the incompleteness of kno...
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06/07/2023
Migrate Demographic Group For Fair GNNs
Graph Neural networks (GNNs) have been applied in many scenarios due to ...
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06/01/2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
Artificial Intelligence Generated Content (AIGC) is one of the latest ac...
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04/23/2023
Capturing Fine-grained Semantics in Contrastive Graph Representation Learning
Graph contrastive learning defines a contrastive task to pull similar in...
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04/23/2023
Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges
Metaverse, the core of the next-generation Internet, is a computer-gener...
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04/11/2023
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph
Anomaly detection on attributed graphs is a crucial topic for its practi...
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09/26/2022
When Digital Economy Meets Web3.0: Applications and Challenges
With the continuous development of web technology, Web3.0 has attracted ...
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08/29/2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs
As special information carriers containing both structure and feature in...
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04/09/2022
Distributed Evolution Strategies for Black-box Stochastic Optimization
This work concerns the evolutionary approaches to distributed stochastic...
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08/01/2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
Federated learning allows multiple participants to collaboratively train...
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07/09/2021
Improved Breath Phase and Continuous Adventitious Sound Detection in Lung and Tracheal Sound Using Mixed Set Training and Domain Adaptation
Previously, we established a lung sound database, HF_Lung_V2 and propose...
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05/07/2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision
Graph data are ubiquitous in the real world. Graph learning (GL) tries t...
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12/02/2020
Tensor Completion via Few-shot Convolutional Sparse Coding
Tensor data often suffer from missing value problem due to the complex h...
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06/01/2020
Outlier Resilient Collaborative Web Service QoS Prediction
Nowadays, more and more Web services are provided by different enterpris...
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05/09/2020
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems
On social network platforms, a user's behavior is based on his/her perso...
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04/02/2020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
Federated learning has been widely studied and applied to various scenar...
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03/21/2020
A Flexible Framework for Large Graph Learning
Graph Convolutional Network (GCN) has shown strong effectiveness in grap...
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02/11/2020
LoCEC: Local Community-based Edge Classification in Large Online Social Networks
Relationships in online social networks often imply social connections i...
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01/19/2019
Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network
The cryptocurrency market is a very huge market without effective superv...
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10/16/2018