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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

2024

Conference Publication

HeteFedRec: federated recommender systems with model heterogeneity

Yuan, Wei, Qu, Liang, Cui, Lizhen, Tong, Yongxin, Zhou, Xiaofang and Yin, Hongzhi (2024). HeteFedRec: federated recommender systems with model heterogeneity. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde60146.2024.00109

HeteFedRec: federated recommender systems with model heterogeneity

2024

Conference Publication

Prompt-enhanced federated content representation learning for cross-domain recommendation

Guo, Lei, Lu, Ziang, Yu, Junliang, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2024). Prompt-enhanced federated content representation learning for cross-domain recommendation. 33rd ACM Web Conference, WWW 2024, Singapore, 13 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645337

Prompt-enhanced federated content representation learning for cross-domain recommendation

2024

Conference Publication

Unraveling the ‘Anomaly’ in time series anomaly detection: a self-supervised tri-domain solution

Sun, Yuting, Pang, Guansong, Ye, Guanhua, Chen, Tong, Hu, Xia and Yin, Hongzhi (2024). Unraveling the ‘Anomaly’ in time series anomaly detection: a self-supervised tri-domain solution. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde60146.2024.00080

Unraveling the ‘Anomaly’ in time series anomaly detection: a self-supervised tri-domain solution

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

Conference Publication

Motif-based prompt learning for universal cross-domain recommendation

Hao, Bowen, Yang, Chaoqun, Guo, Lei, Yu, Junliang and Yin, Hongzhi (2024). Motif-based prompt learning for universal cross-domain recommendation. 17th ACM International Conference on Web Search and Data Mining (WSDM), Merida, Mexico, 4-8 March 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3616855.3635754

Motif-based prompt learning for universal cross-domain recommendation

2024

Conference Publication

Defense against model extraction attacks on recommender systems

Zhang, Sixiao, Yin, Hongzhi, Chen, Hongxu and Long, Cheng (2024). Defense against model extraction attacks on recommender systems. 17th ACM International Conference on Web Search and Data Mining (WSDM), Merida, Mexico, 4-8 March 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3616855.3635751

Defense against model extraction attacks on recommender systems

2024

Conference Publication

Budgeted embedding table for recommender systems

Qu, Yunke, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2024). Budgeted embedding table for recommender systems. 17th ACM International Conference on Web Search and Data Mining (WSDM), Merida, Mexico, 4-8 March 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3616855.3635778

Budgeted embedding table for recommender systems

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

Conference Publication

Data Security Defense: Modeling and Detection of Synchrophasor Data Spoofing Attack for Grid Edge

Qiu, Wei, Yin, He, Wu, Yuru, Zeng, Chujie, Chen, Chang, Dong, Yuqing and Liu, Yilu (2024). Data Security Defense: Modeling and Detection of Synchrophasor Data Spoofing Attack for Grid Edge. IEEE. doi: 10.1109/isgt59692.2024.10454172

Data Security Defense: Modeling and Detection of Synchrophasor Data Spoofing Attack for Grid Edge

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

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

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

Conference Publication

BOURNE: bootstrapped self-supervised learning framework for unified graph anomaly detection

Liu, Jie, He, Mengting, Shang, Xuequn, Shi, Jieming, Cui, Bin and Yin, Hongzhi (2024). BOURNE: bootstrapped self-supervised learning framework for unified graph anomaly detection. 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE60146.2024.00220

BOURNE: bootstrapped self-supervised learning framework for unified graph anomaly detection

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

Conference Publication

Open-world semi-supervised learning for node classification

Wang, Yanling, Zhang, Jing, Zhang, Lingxi, Liu, Lixin, Dong, Yuxiao, Li, Cuiping, Chen, Hong and Yin, Hongzhi (2024). Open-world semi-supervised learning for node classification. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE60146.2024.00213

Open-world semi-supervised learning for node classification