| Try this instead: Personalized and interpretable substitute recommendation T Chen, H Yin, G Ye, Z Huang, Y Wang, M Wang Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 103 | 2020 |
| FENet: a frequency extraction network for obstructive sleep apnea detection G Ye, H Yin, T Chen, H Chen, L Cui, X Zhang IEEE Journal of Biomedical and Health Informatics 25 (8), 2848-2856, 2021 | 31 | 2021 |
| Personalized on-device e-health analytics with decentralized block coordinate descent G Ye, H Yin, T Chen, M Xu, QVH Nguyen, J Song IEEE Journal of Biomedical and Health Informatics 26 (6), 2778-2786, 2022 | 8 | 2022 |
| Heterogeneous collaborative learning for personalized healthcare analytics via messenger distillation G Ye, T Chen, Y Li, L Cui, QVH Nguyen, H Yin IEEE Journal of Biomedical and Health Informatics 27 (11), 5249-5259, 2023 | 7 | 2023 |
| Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation J Long, T Chen, G Ye, K Zheng, QVH Nguyen, H Yin Proceedings of the ACM on Web Conference 2024, 3379-3387, 2024 | 5 | 2024 |
| Heterogeneous decentralised machine unlearning with seed model distillation G Ye, T Chen, QV Hung Nguyen, H Yin CAAI Transactions on Intelligence Technology, 2024 | 5 | 2024 |
| Graph neural networks with deep mutual learning for designing multi-modal recommendation systems J Li, C Yang, G Ye, QVH Nguyen Information Sciences 654, 119815, 2024 | 5 | 2024 |
| Robust federated contrastive recommender system against model poisoning attack W Yuan, C Yang, L Qu, G Ye, QVH Nguyen, H Yin arXiv preprint arXiv:2403.20107, 2024 | 4 | 2024 |
| Unraveling the ‘Anomaly’in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution Y Sun, G Pang, G Ye, T Chen, X Hu, H Yin 2024 IEEE 40th International Conference on Data Engineering (ICDE), 981-994, 2024 | 3 | 2024 |
| Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations J Long, G Ye, T Chen, Y Wang, M Wang, H Yin Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion L Chen, W Yuan, T Chen, G Ye, NQV Hung, H Yin ACM Transactions on Information Systems 42 (6), 1-26, 2024 | 1 | 2024 |
| Unraveling theAnomaly'in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution Y Sun, G Pang, G Ye, T Chen, X Hu, H Yin arXiv preprint arXiv:2311.11235, 2023 | 1 | 2023 |
| How to promote new product development through networked and embedded innovation? based on the perspective of digital transformation M Zhuang, G Ye, Y Li, J Zhou 2023 Portland International Conference on Management of Engineering and …, 2023 | 1 | 2023 |
| Physics-guided Active Sample Reweighting for Urban Flow Prediction W Jiang, T Chen, G Ye, W Zhang, L Cui, Z Huang, H Yin arXiv preprint arXiv:2407.13605, 2024 | | 2024 |
| RobGC: Towards Robust Graph Condensation X Gao, H Yin, T Chen, G Ye, W Zhang, B Cui arXiv preprint arXiv:2406.13200, 2024 | | 2024 |
| PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System W Yuan, C Yang, L Qu, QVH Nguyen, G Ye, H Yin arXiv preprint arXiv:2406.05387, 2024 | | 2024 |
| Poisoning Attacks and Defenses in Recommender Systems: A Survey Z Wang, J Yu, M Gao, G Ye, S Sadiq, H Yin arXiv preprint arXiv:2406.01022, 2024 | | 2024 |
| Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition X Gao, T Chen, W Zhang, J Yu, G Ye, QVH Nguyen, H Yin arXiv preprint arXiv:2405.13707, 2024 | | 2024 |
| Decentralized on-device machine learning and unlearning for IoT collaboration G Ye | | 2023 |
Hongzhi YinProfessor and ARC Future Fellow, University of Queensland在 uq.edu.au 的电子邮件经过验证
