| Enhancing federated learning robustness in adversarial environment through clustering Non-IID features Y Li, D Yuan, AS Sani, W Bao Computers & Security 132, 103319, 2023 | 17 | 2023 |
| Artwork protection against neural style transfer using locally adaptive adversarial color attack Z Guo, K Wang, W Li, Y Qian, Y Li, O Arandjelović, L Fang European Conference on Artificial Intelligence (ECAI), 2024 | 10 | 2024 |
| Enhancing federated learning robustness through clustering non-IID features Y Li, AS Sani, D Yuan, W Bao Asian Conference on Computer Vision (ACCV), 41-55, 2022 | 10 | 2022 |
| 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 |
| Honest score client selection scheme: Preventing federated learning label flipping attacks in non-iid scenarios Y Li, H Chen, W Bao, Z Xu, D Yuan arXiv preprint arXiv:2311.05826, 2023 | 6 | 2023 |
| Quantum-enhanced forecasting: Leveraging quantum gramian angular field and CNNs for stock return predictions Z Xu, Y Wang, X Feng, Y Wang, Y Li, H Lin Finance Research Letters 67, 105840, 2024 | 5 | 2024 |
| Contribution-wise byzantine-robust aggregation for class-balanced federated learning Y Li, W Ding, H Chen, W Bao, D Yuan Information Sciences 667, 120475, 2024 | 2 | 2024 |
| Label noise robust crowd counting with loss filtering factor Z Xu, H Lin, Y Chen, Y Li Applied Artificial Intelligence 38 (1), 2329859, 2024 | 1 | 2024 |
| Holistic Evaluation Metrics for Federated Learning J Ibrahim, Y Li, H Chen, D Yuan IEEE International Conference on Computer Supported Cooperative Work in …, 2024 | 1 | 2024 |
| ICB FL: Implicit Class Balancing Towards Fairness in Federated Learning Y Li, L Zhong, D Yuan, H Chen, W Bao Australian Symposium on Parallel and Distributed Computing (AusPDC), 135-142, 2023 | 1 | 2023 |
| FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot Detection Y Li, X Lin, K Zhang, C Yang, Z Guo, J Gou, Y Li arXiv preprint arXiv:2501.04066, 2025 | | 2025 |
| 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 (ADMA), 48-62, 2025 | | 2025 |
| DFedCL: Decentralized Federated Collaborative Learning with Privacy Protection J Hu, Y Li, L Liu, H Lou IEEE International Conference on Systems Man and Cybernetics (SMC), 2024 | | 2024 |
| Use Case Sensitive Evaluation Metrics for Federated Learning Y Li, J Ibrahim, H Chen, D Yuan, KKR Choo arXiv preprint arXiv:2405.02360, 2024 | | 2024 |
| Towards better ML-based software services: an investigation of source code engineering impact Y Li, C Ye, H Chen, S Chen, M Xue, J Shen IEEE International Conference on Services Computing (SCC), 1-10, 2023 | | 2023 |
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