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03/13/2023
Hybrid Variational Autoencoder for Time Series Forecasting
Variational autoencoders (VAE) are powerful generative models that learn...
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04/05/2022
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting
Fine-tuning attacks are effective in removing the embedded watermarks in...
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02/08/2022
Blockchain-based Digital Twin for Supply Chain Management: A Literature Review and Future Research Directions
Supply chain management plays an essential role in our economy, as evide...
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01/16/2022
Temporal Knowledge Graph Completion: A Survey
Knowledge graph completion (KGC) can predict missing links and is crucia...
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07/27/2021
Federated Learning Meets Natural Language Processing: A Survey
Federated Learning aims to learn machine learning models from multiple d...
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06/11/2021
SolcTrans: Towards machine translation of Solidity smart contract source code
Context: Decentralized applications on blockchain platforms are realized...
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05/15/2021
The Paradigm of Digital Twin Communications
With the fast evolving of cloud computing and artificial intelligence (A...
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03/12/2021
