| 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 | 116 | 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 | 35 | 2021 |
| Graph condensation: A survey X Gao, J Yu, T Chen, G Ye, W Zhang, H Yin IEEE Transactions on Knowledge and Data Engineering, 2025 | 23 | 2025 |
| 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 | 22 | 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 | 10 | 2024 |
| 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 | 10 | 2023 |
| 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 |
| Rethinking and accelerating graph condensation: A training-free approach with class partition X Gao, G Ye, T Chen, W Zhang, J Yu, H Yin arXiv preprint arXiv:2405.13707, 2024 | 7 | 2024 |
| Heterogeneous decentralised machine unlearning with seed model distillation G Ye, T Chen, QV Hung Nguyen, H Yin CAAI Transactions on Intelligence Technology, 2024 | 7 | 2024 |
| 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 | 6 | 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 | 6 | 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 | 5 | 2024 |
| A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics.(2022) G Ye, H Yin, T Chen | 5 | 2022 |
| Physics-guided active sample reweighting for urban flow prediction W Jiang, T Chen, G Ye, W Zhang, L Cui, Z Huang, H Yin Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 4 | 2024 |
| RobGC: Towards Robust Graph Condensation X Gao, H Yin, T Chen, G Ye, W Zhang, B Cui arXiv preprint arXiv:2406.13200, 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 |
| 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 | 3 | 2023 |
| Contrastive graph condensation: Advancing data versatility through self-supervised learning X Gao, Y Li, T Chen, G Ye, W Zhang, H Yin arXiv preprint arXiv:2411.17063, 2024 | 2 | 2024 |
| On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective HV Tran, T Chen, G Ye, QVH Nguyen, K Zheng, H Yin arXiv preprint arXiv:2411.13052, 2024 | 2 | 2024 |
| Poisoning Attacks and Defenses in Recommender Systems: A Survey Z Wang, J Yu, M Gao, W Yuan, G Ye, S Sadiq, H Yin arXiv preprint arXiv:2406.01022, 2024 | 2 | 2024 |
Hongzhi YinProfessor and ARC Future Fellow, University of Queenslanduq.edu.au의 이메일 확인됨