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09/04/2023
Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks
We study illicit account detection on transaction networks of cryptocurr...
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07/20/2023
Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities
With the increasing amount of spatial-temporal (ST) ocean data, numerous...
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06/20/2023
Deep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks
Satellite communication networks have attracted widespread attention for...
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02/09/2023
Generating a Structured Summary of Numerous Academic Papers: Dataset and Method
Writing a survey paper on one research topic usually needs to cover the ...
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02/08/2023
Long Text and Multi-Table Summarization: Dataset and Method
Automatic document summarization aims to produce a concise summary cover...
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10/17/2022
Security and Privacy in Big Data Sharing: State-of-the-Art and Research Directions
Big Data Sharing (BDS) refers to the act of the data owners to share dat...
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10/17/2022
High-efficiency Blockchain-based Supply Chain Traceability
Supply chain traceability refers to product tracking from the source to ...
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10/14/2022
ENTS: An Edge-native Task Scheduling System for Collaborative Edge Computing
Collaborative edge computing (CEC) is an emerging paradigm enabling shar...
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09/14/2022
EaaS: A Service-Oriented Edge Computing Framework Towards Distributed Intelligence
Edge computing has become a popular paradigm where services and applicat...
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07/22/2022
Revisiting Parameter Reuse to Overcome Catastrophic Forgetting in Neural Networks
Neural networks tend to forget previously learned knowledge when continu...
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07/20/2022
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device
Deploying deep convolutional neural network (CNN) models on ubiquitous I...
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07/01/2022
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Dynamic graphs refer to graphs whose structure dynamically changes over ...
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06/25/2022
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation
Many real-world applications can be formulated as multi-agent cooperatio...
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06/20/2022
From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning
Multi-agent reinforcement learning (MARL) has been gaining extensive att...
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10/14/2021
Time Series Clustering for Human Behavior Pattern Mining
Human behavior modeling deals with learning and understanding of behavio...
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06/30/2021
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications
Data-driven approaches have been applied to many problems in urban compu...
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08/09/2020
Data Dissemination Using Interest Tree in Socially Aware Networking
Socially aware networking (SAN) exploits social characteristics of mobil...
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08/04/2020
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI
Traditionally, AI models are trained on the central cloud with data coll...
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06/06/2020
EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors
Early prediction of students at risk (STAR) is an effective and signific...
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04/30/2020
Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions
Generative Adversarial Networks (GANs) is a novel class of deep generati...
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11/29/2019
Boros: Secure Cross-Channel Transfers via Channel Hub
The payment channel, which allows two parties to perform micropayments w...
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07/19/2019
D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction
Spatio-temporal (ST) data for urban applications, such as taxi demand, t...
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06/11/2019
Deep Learning for Spatio-Temporal Data Mining: A Survey
With the fast development of various positioning techniques such as Glob...
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12/03/2017