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2025 Conference Publication Efficient traffic prediction through spatio-temporal distillationZhang, Qianru, Gao, Xinyi, Wang, Haixin, Yiu, Siu-Ming and Yin, Hongzhi (2025). Efficient traffic prediction through spatio-temporal distillation. 39th AAAI Conference on Artificial Intelligence, Philadelphia, PA USA, 25 February-4 March 2025. Washington, DC USA: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v39i1.32096 |
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2025 Journal Article Graph condensation: a surveyGao, Xinyi, Yu, Junliang, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Yin, Hongzhi (2025). Graph condensation: a survey. IEEE Transactions on Knowledge and Data Engineering, 37 (4), 1819-1837. doi: 10.1109/tkde.2025.3535877 |
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2025 Journal Article Robust federated contrastive recommender system against targeted model poisoning attackYuan, Wei, Yang, Chaoqun, Qu, Liang, Ye, Guanhua, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Robust federated contrastive recommender system against targeted model poisoning attack. Science China Information Sciences, 68 (4) 140103, 4. doi: 10.1007/s11432-024-4272-y |
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2025 Journal Article Special topic on cloud-edge collaboration for on-device recommendationYin, Hongzhi, Cui, Bin, Zhou, Xiaofang, Chen, Tong, Nguyen, Quoc Viet Hung and Zhang, Xiangliang (2025). Special topic on cloud-edge collaboration for on-device recommendation. Science China-Information Sciences, 68 (4) 140100. doi: 10.1007/s11432-025-4334-2 |
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2025 Journal Article Contrastive translation with dynamical temperature for sequential recommendationZhang, Aoran, Yu, Yonghong, Zhang, Li, Gao, Rong and Yin, Hongzhi (2025). Contrastive translation with dynamical temperature for sequential recommendation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 55 (6), 4273-4285. doi: 10.1109/tsmc.2025.3550701 |
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2025 Journal Article A survey on point-of-interest recommendation: models, architectures, and securityZhang, Qianru, Yang, Peng, Yu, Junliang, Wang, Haixin, He, Xingwei, Yiu, Siu-Ming and Yin, Hongzhi (2025). A survey on point-of-interest recommendation: models, architectures, and security. IEEE Transactions on Knowledge and Data Engineering, 37 (6), 3153-3172. doi: 10.1109/tkde.2025.3551292 |
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2025 Conference Publication Towards secure and robust recommender systems: a data-centric perspectiveWang, Zongwei, Yu, Junliang, Chen, Tong, Yin, Hongzhi, Sadiq, Shazia and Gao, Min (2025). Towards secure and robust recommender systems: a data-centric perspective. 18th International Conference on Web Search and Data Mining-WSDM, Hannover, Germany, 10-14 March 2025. New York, NY, United States: ACM. doi: 10.1145/3701551.3703484 |
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2025 Journal Article A thorough performance benchmarking on lightweight embedding-based recommender systemsTran, Hung Vinh, Chen, Tong, Quoc Viet Hung, Nguyen, Huang, Zi, Cui, Lizhen and Yin, Hongzhi (2025). A thorough performance benchmarking on lightweight embedding-based recommender systems. ACM Transactions on Information Systems, 43 (3) 63, 1-32. doi: 10.1145/3712589 |
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2025 Conference Publication Message from program chairs: CBD 2024Yin, Hongzhi, Wang, Xin, Shen, Jun, Zhang, Jianwei and Zhang, Jinghui (2025). Message from program chairs: CBD 2024. 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD), Brisbane, QLD Australia, 28 November 2024-2 December 2024. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/CBD65573.2024.00006 |
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2025 Journal Article PTF-FSR: a parameter transmission-free federated sequential recommender systemYuan, Wei, Yang, Chaoqun, Qu, Liang, Hung, Nguyen Quoc Viet, Ye, Guanhua and Yin, Hongzhi (2025). PTF-FSR: a parameter transmission-free federated sequential recommender system. ACM Transactions on Information Systems, 43 (2) 52, 1-24. doi: 10.1145/3708344 |
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2025 Journal Article Certified unlearning for federated recommendationHuynh, Thanh Trung, Nguyen, Trong Bang, Nguyen, Thanh Toan, Nguyen, Phi Le, Yin, Hongzhi, Nguyen, Quoc Viet Hung and Nguyen, Thanh Tam (2025). Certified unlearning for federated recommendation. ACM Transactions on Information Systems, 43 (2) 6419, 1-29. doi: 10.1145/3706419 |
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2025 Journal Article A Data-Driven Scale-Adaptive Time-Frequency Convolutional Network for Long Sequence Time-Series ForecastingZhang, Zhiqiang, Wang, Weiqing, Zhou, Xin, Bai, Yu and Yin, Hongzhi (2025). A Data-Driven Scale-Adaptive Time-Frequency Convolutional Network for Long Sequence Time-Series Forecasting. IEEE Transactions on Knowledge and Data Engineering, 37 (12), 6750-6764. doi: 10.1109/TKDE.2025.3619521 |
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2025 Conference Publication Disentangled representations for cross-domain recommendation via heterogeneous graph contrastive learningLiu, Xinyue, Li, Bohan, Chen, Yijun, Li, Xiaoxue, Xu, Shuai and Yin, Hongzhi (2025). Disentangled representations for cross-domain recommendation via heterogeneous graph contrastive learning. 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, Gifu, Japan, 2-5 July 2024. Singapore: Springer Nature Singapore. doi: 10.1007/978-981-97-5555-4_3 |
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2025 Book Chapter Resource-Efficient Model Deployment for Enterprise AIChen, Tong, Yu, Junliang and Yin, Hongzhi (2025). Resource-Efficient Model Deployment for Enterprise AI. Enterprise AI. (pp. 3-23) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-01940-0_1 |
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2025 Conference Publication Training-free LLM Merging for Multi-task LearningFu, Zichuan, Wu, Xian, Wang, Yejing, Wang, Wanyu, Ye, Shanshan, Yin, Hongzhi, Chang, Yi, Zheng, Yefeng and Zhao, Xiangyu (2025). Training-free LLM Merging for Multi-task Learning. 63rd Association for Computational Linguistics Meeting-ACL-Annual, Vienna Austria, Jul 27-Aug 01, 2025. STROUDSBURG: Association for Computational Linguistics (ACL). |
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2025 Journal Article Privacy-preserving explainable AI: a surveyNguyen, Thanh Tam, Huynh, Thanh Trung, Ren, Zhao, Nguyen, Thanh Toan, Nguyen, Phi Le, Yin, Hongzhi and Nguyen, Quoc Viet Hung (2025). Privacy-preserving explainable AI: a survey. Science China-Information Sciences, 68 (1) 111101. doi: 10.1007/s11432-024-4123-4 |
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2025 Journal Article Handling low homophily in recommender systems with partitioned graph transformerNguyen, Thanh Tam, Nguyen, Thanh Toan, Weidlich, Matthias, Jo, Jun, Nguyen, Quoc Viet Hung, Yin, Hongzhi and Liew, Alan Wee-Chung (2025). Handling low homophily in recommender systems with partitioned graph transformer. IEEE Transactions on Knowledge and Data Engineering, 37 (1), 334-350. doi: 10.1109/tkde.2024.3485880 |
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2025 Conference Publication Multi-task learning of heterogeneous hypergraph representations in LBSNsNguyen, Dong Duc Anh, Nguyen, Minh Hieu, Nguyen, Phi Le, Jo, Jun, Yin, Hongzhi and Nguyen, Thanh Tam (2025). Multi-task learning of heterogeneous hypergraph representations in LBSNs. 20th International Conference, ADMA 2024, Sydney, NSW, Australia, 3 - 5 December 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-96-0821-8_11 |
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2025 Journal Article ZhiFangDanTai: Fine-tuning Graph-based Retrieval-Augmented Generation Model for Traditional Chinese Medicine FormulaZhang, Zixuan, Hao, Bowen, Li, Yingjie and Yin, Hongzhi (2025). ZhiFangDanTai: Fine-tuning Graph-based Retrieval-Augmented Generation Model for Traditional Chinese Medicine Formula. IEEE Journal of Biomedical and Health Informatics, PP (99), 1-14. doi: 10.1109/jbhi.2025.3607819 |
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2025 Journal Article Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate InferenceLiu, Yunhui, Gao, Xinyi, He, Tieke, Zhao, Jianhua and Yin, Hongzhi (2025). Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-13. doi: 10.1109/tkde.2025.3589596 |
