| Asynchronous semi-supervised federated learning with provable convergence in edge computing N Yang, D Yuan, Y Zhang, Y Deng, W Bao IEEE Network 36 (5), 136-143, 2022 | 9 | 2022 |
| Fedil: Federated incremental learning from decentralized unlabeled data with convergence analysis N Yang, D Yuan, CZ Liu, Y Deng, W Bao arXiv preprint arXiv:2302.11823, 2023 | 7 | 2023 |
| Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Y Li, Z Guo, N Yang, H Chen, D Yuan, W Ding arXiv preprint arXiv:2407.06754, 2024 | 6 | 2024 |
| Random padding data augmentation N Yang, L Zhong, F Huang, W Bao, D Yuan Australasian Conference on Data Science and Machine Learning, 3-18, 2023 | 4 | 2023 |
| FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder N Yang, X Chen, CZ Liu, D Yuan, W Bao, L Cui arXiv preprint arXiv:2303.11339, 2023 | 3 | 2023 |
| FocalMatch: Mitigating Class Imbalance of Pseudo Labels in Semi-Supervised Learning Y Deng, C Zhang, N Yang, H Chen Applied Sciences 12 (20), 10623, 2022 | 3 | 2022 |
| Mecon: A GNN-based graph classification framework for MEV activity detection Z Yao, F Huang, Y Li, W Duan, P Qian, N Yang, W Susilo Expert Systems with Applications 269, 126486, 2025 | 1 | 2025 |
| Non-Intrusive Load Monitoring for Energy Management in Smart Grids Incorporating EVs N Yang, Y Wang, Y Zhang, D Yuan IEEE Transactions on Consumer Electronics, 2024 | 1 | 2024 |
| AdaptMatch: Adaptive Consistency Regularization for Semi-supervised Learning with Top-k Pseudo-labeling and Contrastive Learning N Yang, F Huang, D Yuan Australasian Joint Conference on Artificial Intelligence, 227-238, 2023 | 1 | 2023 |
| Adaptformer: An Adaptive Multimodal Deep Decomposition Approach for Power Consumption Forecasting N Yang, Y Zhang, Y Wang, D Tang, Y Li, D Yuan International Conference on Advanced Data Mining and Applications, 48-62, 2025 | | 2025 |
| Stability-driven CNN training with Lyapunov-based dynamic learning rate D Tang, N Yang, Y Deng, Y Zhang, AS Sani, D Yuan Australasian Database Conference, 58-70, 2025 | | 2025 |
| CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence Z Zhang, H Chen, P Ning, N Yang, D Yuan arXiv preprint arXiv:2410.14741, 2024 | | 2024 |
| Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness K Zhou, J Wen, N Yang, D Yuan, Q Lu, H Chen arXiv preprint arXiv:2407.01595, 2024 | | 2024 |
| Semi-Supervised Learning with Unlabeled Data: from Centralized to Distributed Systems N Yang | | 2024 |
| Check for Random Padding Data Augmentation Nan Yang, Laicheng Zhong, Fan Huang, Wei Bao, and Dong Yuan) ID Faculty of Engineering, The University of Sydney, Camperdown, Australia N Yang Data Science and Machine Learning: 21st Australasian Conference, AusDM 2023 …, 2023 | | 2023 |
| Distributed Online Multi-Label Learning with Privacy Protection in Internet of Things F Huang, N Yang, H Chen, W Bao, D Yuan Applied Sciences 13 (4), 2713, 2023 | | 2023 |
| DeNAV: Decentralized Self-Supervised Learning with a Training Navigator X Chen, NAN YANG, CZ Liu, D Yuan | | |
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