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2025

Journal Article

Graph condensation: a survey

Gao, 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

Graph condensation: a survey

2025

Journal Article

A thorough performance benchmarking on lightweight embedding-based recommender systems

Tran, 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

A thorough performance benchmarking on lightweight embedding-based recommender systems

2025

Journal Article

Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs

Zheng, 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

Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs

2024

Journal Article

FELLAS: enhancing federated sequential recommendation with LLM as external services

Yuan, 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

FELLAS: enhancing federated sequential recommendation with LLM as external services

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

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

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) 156, 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

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

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

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

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

2023

Journal Article

Reinforcement learning-enhanced shared-account cross-domain sequential recommendation

Guo, Lei, Zhang, Jinyu, Chen, Tong, Wang, Xinhua and Yin, Hongzhi (2023). Reinforcement learning-enhanced shared-account cross-domain sequential recommendation. IEEE Transactions on Knowledge and Data Engineering, 35 (7), 7397-7411. doi: 10.1109/tkde.2022.3185101

Reinforcement learning-enhanced shared-account cross-domain sequential recommendation

2023

Journal Article

Spatial-temporal meta-path guided explainable crime prediction

Sun, Yuting, Chen, Tong and Yin, Hongzhi (2023). Spatial-temporal meta-path guided explainable crime prediction. World Wide Web, 26 (4), 2237-2263. doi: 10.1007/s11280-023-01137-3

Spatial-temporal meta-path guided explainable crime prediction

2023

Journal Article

DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks

Imran, Mubashir, Yin, Hongzhi, Chen, Tong, Huang, Zi and Zheng, Kai (2023). DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3645-3657. doi: 10.1109/TKDE.2022.3141951

DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks

2023

Journal Article

Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution

Yang, Yu, Yin, Hongzhi, Cao, Jiannong, Chen, Tong, Nguyen, Quoc Viet Hung, Zhou, Xiaofang and Chen, Lei (2023). Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution. IEEE Transactions on Knowledge and Data Engineering, 35 (9), 1-14. doi: 10.1109/tkde.2023.3246059

Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution

2023

Journal Article

Decentralized collaborative learning framework for next POI recommendation

Long, Jing, Chen, Tong, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2023). Decentralized collaborative learning framework for next POI recommendation. ACM Transactions on Information Systems, 41 (3) 66, 66:1-66:25. doi: 10.1145/3555374

Decentralized collaborative learning framework for next POI recommendation

2023

Journal Article

ReFRS: Resource-efficient Federated Recommender System for dynamic and diversified user preferences

Imran, Mubashir, Yin, Hongzhi, Chen, Tong, Hung, Nguyen Quoc Viet, Zhou, Alexander and Zheng, Kai (2023). ReFRS: Resource-efficient Federated Recommender System for dynamic and diversified user preferences. ACM Transactions on Information Systems, 41 (3) 65, 65:1-65:30 . doi: 10.1145/3560486

ReFRS: Resource-efficient Federated Recommender System for dynamic and diversified user preferences

2023

Journal Article

Uniting heterogeneity, inductiveness, and efficiency for graph representation learning

Chen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2023). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning. IEEE Transactions on Knowledge and Data Engineering, 35 (2), 2103-2117. doi: 10.1109/TKDE.2021.3100529

Uniting heterogeneity, inductiveness, and efficiency for graph representation learning