Di Wu
Orcid: 0000-0002-4753-8161Affiliations:
- University of Southern Queensland, Australia
- Deakin University, School of Information Technology, Melbourne, Australia (former)
- University of Technology Sydney, School of Software, Centre for Artificial Intelligence, Sydney, Australia (PhD 2019)
According to our database1,
Di Wu
authored at least 35 papers
between 2011 and 2024.
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Bibliography
2024
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng., December, 2024
IEEE Internet Things J., June, 2024
CoRR, 2024
CoRR, 2024
Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models.
CoRR, 2024
A Comprehensive Survey on Machine Learning Driven Material Defect Detection: Challenges, Solutions, and Future Prospects.
CoRR, 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research.
CoRR, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems.
Digit. Commun. Networks, August, 2023
Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things.
J. Inf. Secur. Appl., June, 2023
2022
Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks.
Concurr. Comput. Pract. Exp., 2022
From distributed machine learning to federated learning: In the view of data privacy and security.
Concurr. Comput. Pract. Exp., 2022
A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Digit. Commun. Networks, 2021
Defending against Membership Inference Attacks in Federated learning via Adversarial Example.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
2020
Proceedings of the Security and Privacy in Digital Economy, 2020
Proceedings of the Frontiers in Cyber Security - Third International Conference, 2020
2019
Video-based similar gesture action recognition using deep learning and GAN-based approaches
PhD thesis, 2019
Proceedings of the 18th IEEE International Conference On Trust, 2019
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019
Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
PDGAN: A Novel Poisoning Defense Method in Federated Learning Using Generative Adversarial Network.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019
A Privacy-Preserving Access Control Scheme with Verifiable and Outsourcing Capabilities in Fog-Cloud Computing.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019
2018
IEEE Access, 2018
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018
Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
2017
Recent advances in video-based human action recognition using deep learning: A review.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2015
Secur. Commun. Networks, 2015
2014
On Addressing the Imbalance Problem: A Correlated KNN Approach for Network Traffic Classification.
Proceedings of the Network and System Security - 8th International Conference, 2014
2013
Proceedings of the Cyberspace Safety and Security - 5th International Symposium, 2013
2011
Proceedings of the IEEE 10th International Conference on Trust, 2011