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2025 Book Chapter Hyperbolic Adversarial Learning for Personalized Item RecommendationZhang, Aoran, Yu, Yonghong, Xu, Gongyou, Gao, Rong, Zhang, Li, Gao, Shang and Yin, Hongzhi (2025). Hyperbolic Adversarial Learning for Personalized Item Recommendation. Lecture Notes in Computer Science. (pp. 303-312) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-97-5555-4_20 |
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2025 Journal Article RobGC: Towards Robust Graph CondensationGao, Xinyi, Yin, Hongzhi, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Cui, Bin (2025). RobGC: Towards Robust Graph Condensation. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-14. doi: 10.1109/tkde.2025.3569629 |
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2025 Book Chapter 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. Lecture Notes in Computer Science. (pp. 35-50) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-97-5555-4_3 |
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2025 Journal Article Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphsZheng, Shangfei, Yin, Hongzhi, Chen, Tong, Nguyen, Quoc Viet Hung, Chen, Wei and Zhao, Lei (2025). Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-14. doi: 10.1109/tkde.2025.3546686 |
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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, PP (99), 1-13. doi: 10.1109/tsmc.2025.3550701 |
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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 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, PP (99), 1-20. doi: 10.1109/tkde.2025.3551292 |
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2024 Journal Article FELLAS: enhancing federated sequential recommendation with LLM as external servicesYuan, Wei, Yang, Chaoqun, Ye, Guanhua, Chen, Tong, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2024). FELLAS: enhancing federated sequential recommendation with LLM as external services. ACM Transactions on Information Systems. doi: 10.1145/3709138 |
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2024 Conference Publication Distribution-Aware Data Expansion with Diffusion ModelsZhu, Haowei, Yang, Ling, Yong, Jun-Hai, Yin, Hongzhi, Jiang, Jiawei, Xiao, Meng, Zhang, Wentao and Wang, Bin (2024). Distribution-Aware Data Expansion with Diffusion Models. 38th Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, 10-15 December 2024. Maryland Heights, MO United States: Morgan Kaufmann Publishers. |
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2024 Journal Article A dual benchmarking study of facial forgery and facial forensicsPham, Minh Tam, Huynh, Thanh Trung, Nguyen, Thanh Tam, Nguyen, Thanh Toan, Nguyen, Thanh Thi, Jo, Jun, Yin, Hongzhi and Hung Nguyen, Quoc Viet (2024). A dual benchmarking study of facial forgery and facial forensics. CAAI Transactions on Intelligence Technology, 9 (6), 1377-1397. doi: 10.1049/cit2.12362 |
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2024 Journal Article Reliable node similarity matrix guided contrastive graph clusteringLiu, Yunhui, Gao, Xinyi, He, Tieke, Zheng, Tao, Zhao, Jianhua and Yin, Hongzhi (2024). Reliable node similarity matrix guided contrastive graph clustering. IEEE Transactions on Knowledge and Data Engineering, 36 (12), 9123-9135. doi: 10.1109/tkde.2024.3435887 |
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2024 Journal Article Hyperbolic translation-based sequential recommendationYu, Yonghong, Zhang, Aoran, Zhang, Li, Gao, Rong, Gao, Shang and Yin, Hongzhi (2024). Hyperbolic translation-based sequential recommendation. IEEE Transactions on Computational Social Systems, 11 (6), 7467-7483. doi: 10.1109/tcss.2024.3409711 |
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2024 Journal Article Multi-level graph knowledge contrastive learningYang, Haoran, Wang, Yuhao, Zhao, Xiangyu, Chen, Hongxu, Yin, Hongzhi, Li, Qing and Xu, Guandong (2024). Multi-level graph knowledge contrastive learning. IEEE Transactions on Knowledge and Data Engineering, 36 (12), 8829-8841. doi: 10.1109/TKDE.2024.3466530 |
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2024 Conference Publication Scalable dynamic embedding size search for streaming recommendationQu, Yunke, Qu, Liang, Chen, Tong, Zhao, Xiangyu, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2024). Scalable dynamic embedding size search for streaming recommendation. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID USA, 21-25 October 2024. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3627673.3679638 |
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2024 Conference Publication Physics-guided active sample reweighting for urban flow predictionJiang, Wei, Chen, Tong, Ye, Guanhua, Zhang, Wentao, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Physics-guided active sample reweighting for urban flow prediction. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID, United States, 21-25 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3627673.3679738 |
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2024 Conference Publication Preference prototype-aware learning for universal cross-domain recommendationZhang, Yuxi, Zhang, Ji, Xu, Feiyang, Chen, Lvying, Li, Bohan, Guo, Lei and Yin, Hongzhi (2024). Preference prototype-aware learning for universal cross-domain recommendation. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID USA, 21-25 October 2024. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3627673.3679774 |
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2024 Conference Publication Efficient and robust regularized federated recommendationLiu, Langming, Wang, Wanyu, Zhao, Xiangyu, Zhang, Zijian, Zhang, Chunxu, Lin, Shanru, Wang, Yiqi, Zou, Lixin, Liu, Zitao, Wei, Xuetao, Yin, Hongzhi and Li, Qing (2024). Efficient and robust regularized federated recommendation. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID, United States, 21-25 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3627673.3679682 |
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2024 Conference Publication Watermarking recommender systemsZhang, Sixiao, Long, Cheng, Yuan, Wei, Chen, Hongxu and Yin, Hongzhi (2024). Watermarking recommender systems. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID USA, 21-25 October 2024. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3627673.3679617 |
