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03/22/2023
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
Knowledge graph embedding (KGE) that maps entities and relations into ve...
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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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10/20/2022
A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends
Recent advances in edge computing have pushed cloud-based data caching s...
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08/15/2022
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation
Since the traffic conditions change over time, machine learning models t...
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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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12/28/2021
Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles
Mobile edge computing has become an effective and fundamental paradigm f...
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11/28/2021
Semantic Code Search for Smart Contracts
Semantic code search technology allows searching for existing code snipp...
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09/09/2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Federated learning (FL) is experiencing a fast booming with the wave of ...
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08/28/2021
Prototypes-Guided Memory Replay for Continual Learning
Continual learning (CL) refers to a machine learning paradigm that using...
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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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05/31/2021
A Bytecode-based Approach for Smart Contract Classification
With the development of blockchain technologies, the number of smart con...
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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
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Federated learning (FL) utilizes edge computing devices to collaborative...
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01/18/2021
Chaotic-to-Fine Clustering for Unlabeled Plant Disease Images
Current annotation for plant disease images depends on manual sorting an...
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11/12/2020
A Fast and Scalable Authentication Scheme in IoT for Smart Living
Numerous resource-limited smart objects (SOs) such as sensors and actuat...
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10/19/2020
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
The Scholarly Document Processing (SDP) workshop is to encourage more ef...
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07/17/2020
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression
Obtaining training data for multi-document summarization (MDS) is time c...
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02/21/2020
Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering
Matrix factorization (MF) has been widely applied to collaborative filte...
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10/12/2019
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data
Non-negative tensor factorization models enable predictive analysis on c...
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07/03/2018
