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2023

Journal Article

Local feature-based mutual complexity for pixel-value-ordering reversible data hiding

Gao, Xinyi, Pan, Zhibin, Fan, Guojun, Zhang, Xiaoran and Yin, Hongzhi (2023). Local feature-based mutual complexity for pixel-value-ordering reversible data hiding. Signal Processing, 204 108833, 1-15. doi: 10.1016/j.sigpro.2022.108833

Local feature-based mutual complexity for pixel-value-ordering reversible data hiding

2023

Conference Publication

Federated unlearning for on-device recommendation

Yuan, Wei, Yin, Hongzhi, Wu, Fangzhao, Zhang, Shijie, He, Tieke and Wang, Hao (2023). Federated unlearning for on-device recommendation. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3570463

Federated unlearning for on-device recommendation

2023

Conference Publication

Knowledge enhancement for contrastive multi-behavior recommendation

Xuan, Hongrui, Liu, Yi, Li, Bohan and Yin, Hongzhi (2023). Knowledge enhancement for contrastive multi-behavior recommendation. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3570386

Knowledge enhancement for contrastive multi-behavior recommendation

2023

Conference Publication

Simplifying graph-based collaborative filtering for recommendation

He, Li, Wang, Xianzhi, Wang, Dingxian, Zou, Haoyuan, Yin, Hongzhi and Xu, Guandong (2023). Simplifying graph-based collaborative filtering for recommendation. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3570451

Simplifying graph-based collaborative filtering for recommendation

2023

Conference Publication

Learning to distill graph neural networks

Yang, Cheng, Guo, Yuxin, Xu, Yao, Shi, Chuan, Liu, Jiawei, Wang, Chunchen, Li, Xin, Guo, Ning and Yin, Hongzhi (2023). Learning to distill graph neural networks. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3570480

Learning to distill graph neural 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

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

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

Conference Publication

Beyond double ascent via recurrent neural tangent kernel in sequential recommendation

Qiu, Ruihong, Huang, Zi and Yin, Hongzhi (2023). Beyond double ascent via recurrent neural tangent kernel in sequential recommendation. 22nd IEEE International Conference on Data Mining (ICDM), Orlando, FL USA, 28 November-1 December 2022. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm54844.2022.00053

Beyond double ascent via recurrent neural tangent kernel in sequential recommendation

2023

Journal Article

Deep MinCut: learning node embeddings by detecting communities

Duong, Chi Thang, Nguyen, Thanh Tam, Hoang, Trung-Dung, Yin, Hongzhi, Weidlich, Matthias and Nguyen, Quoc Viet Hung (2023). Deep MinCut: learning node embeddings by detecting communities. Pattern Recognition, 134 109126, 1-11. doi: 10.1016/j.patcog.2022.109126

Deep MinCut: learning node embeddings by detecting communities

2023

Journal Article

Network alignment with holistic embeddings

Huynh, Thanh Trung, Duong, Chi Thang, Nguyen, Thanh Tam, Van, Vinh Tong, Sattar, Abdul, Yin, Hongzhi and Nguyen, Quoc Viet Hung (2023). Network alignment with holistic embeddings. IEEE Transactions on Knowledge and Data Engineering, 35 (2), 1881-1894. doi: 10.1109/TKDE.2021.3101840

Network alignment with holistic embeddings

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

2023

Journal Article

A multi-strategy based pre-training method for cold-start recommendation

Hao, Bowen, Yin, Hongzhi, Zhang, Jing, Li, Cuiping and Chen, Hong (2023). A multi-strategy based pre-training method for cold-start recommendation. ACM Transactions on Information Systems, 41 (2) 31, 1-24. doi: 10.1145/3544107

A multi-strategy based pre-training method for cold-start recommendation

2023

Edited Outputs

Database systems for advanced applications:  28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part III

Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao and Hongzhi Yin eds. (2023). Database systems for advanced applications:  28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part III. 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), Tianjin, China, 17-20 April 2023. Heidelberg, Germany: Springer . doi: 10.1007/978-3-031-30675-4

Database systems for advanced applications:  28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part III

2023

Journal Article

Multi-hop knowledge graph reasoning in few-shot scenarios

Zheng, Shangfei, Chen, Wei, Wang, Weiqing, Zhao, Pengpeng, Yin, Hongzhi and Zhao, Lei (2023). Multi-hop knowledge graph reasoning in few-shot scenarios. IEEE Transactions on Knowledge and Data Engineering, 36 (4), 1713-1727. doi: 10.1109/tkde.2023.3304665

Multi-hop knowledge graph reasoning in few-shot scenarios

2023

Journal Article

TinyAD: memory-efficient anomaly detection for time series data in industrial IoT

Sun, Yuting, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2023). TinyAD: memory-efficient anomaly detection for time series data in industrial IoT. IEEE Transactions on Industrial Informatics, 20 (1), 824-834. doi: 10.1109/tii.2023.3254668

TinyAD: memory-efficient anomaly detection for time series data in industrial IoT

2023

Journal Article

Comprehensive privacy analysis on federated recommender system against attribute inference attacks

Zhang, Shijie, Yuan, Wei and Yin, Hongzhi (2023). Comprehensive privacy analysis on federated recommender system against attribute inference attacks. IEEE Transactions on Knowledge and Data Engineering, 36 (3), 987-999. doi: 10.1109/tkde.2023.3295601

Comprehensive privacy analysis on federated recommender system against attribute inference attacks

2023

Edited Outputs

Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part III

Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao and Hongzhi Yin eds. (2023). Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part III. 28th International Conference, DASFAA 2023, Tianjin, China, 17-20 April 2023. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-30675-4

Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part III

2023

Journal Article

Proactive privacy-preserving learning for cross-modal retrieval

Zhang, Peng-Fei, Bai, Guangdong, Yin, Hongzhi and Huang, Zi (2023). Proactive privacy-preserving learning for cross-modal retrieval. ACM Transactions on Information Systems, 41 (2) 35, 1-23. doi: 10.1145/3545799

Proactive privacy-preserving learning for cross-modal retrieval

2023

Conference Publication

Imbalanced node classification beyond homophilic assumption

Liu, Jie, He, Mengting, Wang, Guangtao, Nguyen, Quoc Viet Hung, Shang, Xuequn and Yin, Hongzhi (2023). Imbalanced node classification beyond homophilic assumption. Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, SAR, 19-25 August 2023. Palo Alto, CA, United States: AAAI Press. doi: 10.24963/ijcai.2023/848

Imbalanced node classification beyond homophilic assumption