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2024

Journal Article

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention

Sakong, Darnbi, Vu, Viet Hung, Huynh, Thanh Trung, Nguyen, Phi Le, Yin, Hongzhi, Nguyen, Quoc Viet Hung and Nguyen, Thanh Tam (2024). Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention. Information Sciences, 680 121165, 121165. doi: 10.1016/j.ins.2024.121165

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention

2024

Conference Publication

Graph Condensation for Open-World Graph Learning

Gao, Xinyi, Chen, Tong, Zhang, Wentao, Li, Yayong, Sun, Xiangguo and Yin, Hongzhi (2024). Graph Condensation for Open-World Graph Learning. New York, NY, USA: ACM. doi: 10.1145/3637528.3671917

Graph Condensation for Open-World Graph Learning

2024

Conference Publication

Hate Speech Detection with Generalizable Target-aware Fairness

Chen, Tong, Wang, Danny, Liang, Xurong, Risius, Marten, Demartini, Gianluca and Yin, Hongzhi (2024). Hate Speech Detection with Generalizable Target-aware Fairness. New York, NY, USA: ACM. doi: 10.1145/3637528.3671821

Hate Speech Detection with Generalizable Target-aware Fairness

2024

Conference Publication

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks

Wang, Zongwei, Yu, Junliang, Gao, Min, Yin, Hongzhi, Cui, Bin and Sadiq, Shazia (2024). Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. New York, NY, USA: ACM. doi: 10.1145/3637528.3671795

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks

2024

Conference Publication

Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations

Long, Jing, Ye, Guanhua, Chen, Tong, Wang, Yang, Wang, Meng and Yin, Hongzhi (2024). Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. New York, NY, USA: ACM. doi: 10.1145/3637528.3671743

Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations

2024

Journal Article

Explicit knowledge graph reasoning for conversational recommendation

Ren, Xuhui, Chen, Tong, Nguyen, Quoc Viet Hung, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Explicit knowledge graph reasoning for conversational recommendation. ACM Transactions on Intelligent Systems and Technology, 15 (4) 86, 1-21. doi: 10.1145/3637216

Explicit knowledge graph reasoning for conversational recommendation

2024

Journal Article

Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures

Nguyen, Thanh Toan, Quoc Viet Hung, Nguyen, Nguyen, Thanh Tam, Huynh, Thanh Trung, Nguyen, Thanh Thi, Weidlich, Matthias and Yin, Hongzhi (2024). Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures. ACM Computing Surveys. doi: 10.1145/3677328

Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures

2024

Conference Publication

Poisoning decentralized collaborative recommender system and its countermeasures

Zheng, Ruiqi, Qu, Liang, Chen, Tong, Zheng, Kai, Shi, Yuhui and Yin, Hongzhi (2024). Poisoning decentralized collaborative recommender system and its countermeasures. SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3626772.3657814

Poisoning decentralized collaborative recommender system and its countermeasures

2024

Conference Publication

CaseLink: inductive graph learning for legal case retrieval

Tang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2024). CaseLink: inductive graph learning for legal case retrieval. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657693

CaseLink: inductive graph learning for legal case retrieval

2024

Conference Publication

Lightweight embeddings for graph collaborative filtering

Liang, Xurong, Chen, Tong, Cui, Lizhen, Wang, Yang, Wang, Meng and Yin, Hongzhi (2024). Lightweight embeddings for graph collaborative filtering. SIGIR '24: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657820

Lightweight embeddings for graph collaborative filtering

2024

Journal Article

A dual benchmarking study of facial forgery and facial forensics

Pham, 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. doi: 10.1049/cit2.12362

A dual benchmarking study of facial forgery and facial forensics

2024

Journal Article

Personalized elastic embedding learning for on-device recommendation

Zheng, Ruiqi, Qu, Liang, Chen, Tong, Zheng, Kai, Shi, Yuhui and Yin, Hongzhi (2024). Personalized elastic embedding learning for on-device recommendation. IEEE Transactions on Knowledge and Data Engineering, 36 (7), 3363-3375. doi: 10.1109/tkde.2024.3361562

Personalized elastic embedding learning for on-device recommendation

2024

Journal Article

Bayes-enhanced multi-view attention networks for robust POI recommendation

Xia, Jiangnan, Yang, Yu, Wang, Senzhang, Yin, Hongzhi, Cao, Jiannong and Yu, Philip S. (2024). Bayes-enhanced multi-view attention networks for robust POI recommendation. IEEE Transactions on Knowledge and Data Engineering, 36 (7), 2895-2909. doi: 10.1109/tkde.2023.3329673

Bayes-enhanced multi-view attention networks for robust POI recommendation

2024

Journal Article

Heterogeneous decentralised machine unlearning with seed model distillation

Ye, Guanhua, Chen, Tong, Hung Nguyen, Quoc Viet and Yin, Hongzhi (2024). Heterogeneous decentralised machine unlearning with seed model distillation. CAAI Transactions on Intelligence Technology, 9 (3), 608-619. doi: 10.1049/cit2.12281

Heterogeneous decentralised machine unlearning with seed model distillation

2024

Journal Article

Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion

Chen, Lijian, Yuan, Wei, Chen, Tong, Ye, Guanhua, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2024). Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. ACM Transactions on Information Systems, 42 (6), 1-26. doi: 10.1145/3666088

Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion

2024

Conference Publication

Towards personalized privacy: user-governed data contribution for federated recommendation

Qu, Liang, Yuan, Wei, Zheng, Ruiqi, Cui, Lizhen, Shi, Yuhui and Yin, Hongzhi (2024). Towards personalized privacy: user-governed data contribution for federated recommendation. WWW '24: The ACM Web Conference 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645690

Towards personalized privacy: user-governed data contribution for federated recommendation

2024

Conference Publication

Challenging low homophily in social recommendation

Jiang, Wei, Gao, Xinyi, Xu, Guandong, Chen, Tong and Yin, Hongzhi (2024). Challenging low homophily in social recommendation. WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3589334.3645460

Challenging low homophily in social recommendation

2024

Conference Publication

Physical trajectory inference attack and defense in decentralized POI recommendation

Long, Jing, Chen, Tong, Ye, Guanhua, Zheng, Kai, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2024). Physical trajectory inference attack and defense in decentralized POI recommendation. WWW '24: The ACM Web Conference 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645410

Physical trajectory inference attack and defense in decentralized POI recommendation

2024

Conference Publication

Graph condensation for inductive node representation learning

Gao, Xinyi, Chen, Tong, Zang, Yilong, Zhang, Wentao, Hung Nguyen, Quoc Viet, Zheng, Kai and Yin, Hongzhi (2024). Graph condensation for inductive node representation learning. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde60146.2024.00237

Graph condensation for inductive node representation learning

2024

Conference Publication

Decentralized collaborative learning with adaptive reference data for on-device POI recommendation

Zheng, Ruiqi, Qu, Liang, Chen, Tong, Cui, Lizhen, Shi, Yuhui and Yin, Hongzhi (2024). Decentralized collaborative learning with adaptive reference data for on-device POI recommendation. WWW '24: The ACM Web Conference 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645696

Decentralized collaborative learning with adaptive reference data for on-device POI recommendation