Privacy-preserving support vector machine training over blockchain-based encrypted IoT data in smart cities M Shen, X Tang, L Zhu, X Du, M Guizani IEEE Internet of Things Journal 6 (5), 7702-7712, 2019 | 485 | 2019 |
Privacy-preserving DDoS attack detection using cross-domain traffic in software defined networks L Zhu, X Tang, M Shen, X Du, M Guizani IEEE Journal on Selected Areas in Communications 36 (3), 628-643, 2018 | 128 | 2018 |
Secure SVM training over vertically-partitioned datasets using consortium blockchain for vehicular social networks M Shen, J Zhang, L Zhu, K Xu, X Tang IEEE Transactions on Vehicular Technology 69 (6), 5773-5783, 2019 | 93 | 2019 |
Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction X Tang, D Liao, W Huang, L Zhu, M Shen, J Xu AAAI 2021 conference, 2021 | 39 | 2021 |
Pile: Robust privacy-preserving federated learning via verifiable perturbations X Tang, M Shen, Q Li, L Zhu, T Xue, Q Qu IEEE Transactions on Dependable and Secure Computing 20 (6), 5005-5023, 2023 | 38 | 2023 |
Privacy-preserving machine learning training in IoT aggregation scenarios L Zhu, X Tang, M Shen, F Gao, J Zhang, X Du IEEE Internet of Things Journal 8 (15), 12106-12118, 2021 | 34 | 2021 |
Blockchains for artificial intelligence of things: A comprehensive survey M Shen, A Gu, J Kang, X Tang, X Lin, L Zhu, D Niyato IEEE Internet of Things Journal 10 (16), 14483-14506, 2023 | 33 | 2023 |
Secure and trusted collaborative learning based on blockchain for artificial intelligence of things X Tang, L Zhu, M Shen, J Peng, J Kang, D Niyato, AA Abd El-Latif IEEE Wireless Communications 29 (3), 14-22, 2022 | 26 | 2022 |
Secure semantic communications: Challenges, approaches, and opportunities M Shen, J Wang, H Du, D Niyato, X Tang, J Kang, Y Ding, L Zhu IEEE Network 38 (4), 197-206, 2023 | 20 | 2023 |
When homomorphic cryptosystem meets differential privacy: training machine learning classifier with privacy protection X Tang, L Zhu, M Shen, X Du arXiv preprint arXiv:1812.02292, 2018 | 10 | 2018 |
Fedasa: A personalized federated learning with adaptive model aggregation for heterogeneous mobile edge computing D Deng, X Wu, T Zhang, X Tang, H Du, J Kang, J Liu, D Niyato IEEE Transactions on Mobile Computing, 2024 | 9 | 2024 |
Confidence-aware sentiment quantification via sentiment perturbation modeling X Tang, D Liao, M Shen, L Zhu, S Huang, G Li, H Man, J Xu IEEE Transactions on Affective Computing 15 (2), 736-750, 2023 | 8 | 2023 |
QoE Maximization for Video Streaming in Cache-Enable Satellite-UAV-Terrestrial Network Z Yang, J Miao, T Zhang, X Tang, J Kang, D Niyato ICC 2024-IEEE International Conference on Communications, 1-6, 2024 | 2 | 2024 |
Towards Secrecy Energy-Efficient RIS Aided UAV Network: A Lyapunov-Guided Reinforcement Learning Approach Y Yao, J Miao, T Zhang, X Tang, J Kang, D Niyato 2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2024 | 2 | 2024 |
Moving Target Defense Meets Artificial Intelligence-Driven Network: A Comprehensive Survey T Zhang, F Kong, D Deng, X Tang, X Wu, C Xu, L Zhu, J Liu, B Ai, Z Han, ... IEEE Internet of Things Journal, 2025 | 1 | 2025 |
Security and Privacy Defense Framework for Web 3.0 M Shen, X Tang, W Wang, L Zhu Security and Privacy in Web 3.0, 15-23, 2024 | 1* | 2024 |
Exploring the Impact of Non-IID on Federated Learning M Li, X Tang, S Chen, Y Weng, L Peng, W Yang 2023 International Conference on Blockchain Technology and Information …, 2023 | 1 | 2023 |
LGVLM-mIoT: A Lightweight Generative Visual-Language Model for Multilingual IoT Applications Y Weng, K Yang, Z Liu, W He, X Tang IEEE Internet of Things Journal, 2025 | | 2025 |
Network Security Management in Heterogeneous Networks T Zhang, X Tang, J Wang, J Liu Electronics 14 (3), 568, 2025 | | 2025 |
Context-adaptive and QoS-guaranteed flow scheduling optimization in multipath multimedia transmission over MPTCP X Liu, Z Liu, Chaomurilige, S Jiang, X Tang, G Xu Wireless Networks, 1-11, 2024 | | 2024 |