Skip to menu Skip to content Skip to footer

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

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

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

Journal Article

Variational counterfactual prediction under runtime domain corruption

Wen, Hechuan, Chen, Tong, Chai, Li Kheng, Sadiq, Shazia, Gao, Junbin and Yin, Hongzhi (2024). Variational counterfactual prediction under runtime domain corruption. IEEE Transactions on Knowledge and Data Engineering, 36 (5) 10271745, 2271-2284. doi: 10.1109/tkde.2023.3321893

Variational counterfactual prediction under runtime domain corruption

2024

Journal Article

OntoMedRec: logically-pretrained model-agnostic ontology encoders for medication recommendation

Tan, Weicong, Wang, Weiqing, Zhou, Xin, Buntine, Wray, Bingham, Gordon and Yin, Hongzhi (2024). OntoMedRec: logically-pretrained model-agnostic ontology encoders for medication recommendation. World Wide Web-Internet and Web Information Systems, 27 (3) ARTN 28. doi: 10.1007/s11280-024-01268-1

OntoMedRec: logically-pretrained model-agnostic ontology encoders for medication recommendation

2024

Journal Article

Time interval-enhanced graph neural network for shared-account cross-domain sequential recommendation

Guo, Lei, Zhang, Jinyu, Tang, Li, Chen, Tong, Zhu, Lei and Yin, Hongzhi (2024). Time interval-enhanced graph neural network for shared-account cross-domain sequential recommendation. IEEE Transactions on Neural Networks and Learning Systems, 35 (3), 4002-4016. doi: 10.1109/tnnls.2022.3201533

Time interval-enhanced graph neural network for shared-account cross-domain sequential recommendation

2024

Journal Article

MCRPL: A pretrain, prompt, and fine-tune paradigm for non-overlapping many-to-one cross-domain recommendation

Liu, Hao, Guo, Lei, Zhu, Lei, Jiang, Yongqiang, Gao, Min and Yin, Hongzhi (2024). MCRPL: A pretrain, prompt, and fine-tune paradigm for non-overlapping many-to-one cross-domain recommendation. ACM Transactions on Information Systems, 42 (4) 97, 1-24. doi: 10.1145/3641860

MCRPL: A pretrain, prompt, and fine-tune paradigm for non-overlapping many-to-one cross-domain recommendation

2024

Journal Article

XSimGCL: towards extremely simple graph contrastive learning for recommendation

Yu, Junliang, Xia, Xin, Chen, Tong, Cui, Lizhen, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2024). XSimGCL: towards extremely simple graph contrastive learning for recommendation. IEEE Transactions on Knowledge and Data Engineering, 36 (2), 913-926. doi: 10.1109/tkde.2023.3288135

XSimGCL: towards extremely simple graph contrastive learning for recommendation

2024

Journal Article

HiTSKT: A hierarchical transformer model for session-aware knowledge tracing

Ke, Fucai, Wang, Weiqing, Tan, Weicong, Du, Lan, Jin, Yuan, Huang, Yujin and Yin, Hongzhi (2024). HiTSKT: A hierarchical transformer model for session-aware knowledge tracing. Knowledge-Based Systems, 284 111300. doi: 10.1016/j.knosys.2023.111300

HiTSKT: A hierarchical transformer model for session-aware knowledge tracing

2024

Journal Article

Portable graph-based rumour detection against multi-modal heterophily

Nguyen, Thanh Tam, Ren, Zhao, Nguyen, Thanh Toan, Jo, Jun, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2024). Portable graph-based rumour detection against multi-modal heterophily. Knowledge-Based Systems, 284 111310. doi: 10.1016/j.knosys.2023.111310

Portable graph-based rumour detection against multi-modal heterophily

2024

Journal Article

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering

Liu, 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, PP (99), 1-14. doi: 10.1109/tkde.2024.3435887

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering

2024

Journal Article

Hyperbolic translation-based sequential recommendation

Yu, Yonghong, Zhang, Aoran, Zhang, Li, Gao, Rong, Gao, Shang and Yin, Hongzhi (2024). Hyperbolic translation-based sequential recommendation. IEEE Transactions on Computational Social Systems, 1-17. doi: 10.1109/tcss.2024.3409711

Hyperbolic translation-based sequential recommendation

2024

Journal Article

Self-supervised learning for recommender systems: a survey

Yu, Junliang, Yin, Hongzhi, Xia, Xin, Chen, Tong, Li, Jundong and Huang, Zi (2024). Self-supervised learning for recommender systems: a survey. IEEE Transactions on Knowledge and Data Engineering, 36 (1), 335-355. doi: 10.1109/tkde.2023.3282907

Self-supervised learning for recommender systems: a survey

2023

Journal Article

Isomorphic graph embedding for progressive maximal frequent subgraph mining

Nguyen, Thanh Toan, Nguyen, Thanh Tam, Nguyen, Thanh Hung, Yin, Hongzhi, Nguyen, Thanh Thi, Jo, Jun and Nguyen, Quoc Viet Hung (2023). Isomorphic graph embedding for progressive maximal frequent subgraph mining. ACM Transactions on Intelligent Systems and Technology, 15 (1) 9, 1-26. doi: 10.1145/3630635

Isomorphic graph embedding for progressive maximal frequent subgraph mining

2023

Journal Article

Heterogeneous collaborative learning for personalized healthcare analytics via messenger distillation

Ye, Guanhua, Chen, Tong, Li, Yawen, Cui, Lizhen, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2023). Heterogeneous collaborative learning for personalized healthcare analytics via messenger distillation. IEEE Journal of Biomedical and Health Informatics, 27 (11), 5249-5259. doi: 10.1109/jbhi.2023.3247463

Heterogeneous collaborative learning for personalized healthcare analytics via messenger distillation