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2024 Conference Publication HeteFedRec: federated recommender systems with model heterogeneityYuan, 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 |
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2024 Conference Publication Prompt-enhanced federated content representation learning for cross-domain recommendationGuo, 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 |
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2024 Conference Publication Unraveling the ‘Anomaly’ in time series anomaly detection: a self-supervised tri-domain solutionSun, 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 |
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2024 Conference Publication On-device recommender systems: a tutorial on the new-generation recommendation paradigmYin, Hongzhi, Chen, Tong, Qu, Liang and Cui, Bin (2024). On-device recommender systems: a tutorial on the new-generation recommendation paradigm. 33rd ACM Web Conference, WWW 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589335.3641250 |
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2024 Conference Publication Accelerating scalable graph neural network inference with node-adaptive propagationGao, Xinyi, Zhang, Wentao, Yu, Junliang, Shao, Yingxia, Nguyen, Quoc Viet Hung, Cui, Bin and Yin, Hongzhi (2024). Accelerating scalable graph neural network inference with node-adaptive propagation. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde60146.2024.00236 |
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2024 Conference Publication Towards personalized privacy: user-governed data contribution for federated recommendationQu, 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 |
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2024 Conference Publication Challenging low homophily in social recommendationJiang, 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 |
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2024 Journal Article Variational counterfactual prediction under runtime domain corruptionWen, 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 |
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2024 Journal Article OntoMedRec: logically-pretrained model-agnostic ontology encoders for medication recommendationTan, 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) 28. doi: 10.1007/s11280-024-01268-1 |
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2024 Conference Publication Defense against model extraction attacks on recommender systemsZhang, 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 |
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2024 Conference Publication Budgeted embedding table for recommender systemsQu, 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 |
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2024 Conference Publication Motif-based prompt learning for universal cross-domain recommendationHao, 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 |
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2024 Journal Article Time interval-enhanced graph neural network for shared-account cross-domain sequential recommendationGuo, 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 |
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2024 Conference Publication Data Security Defense: Modeling and Detection of Synchrophasor Data Spoofing Attack for Grid EdgeQiu, 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. 2024 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC United States, 19-22 February 2024. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/isgt59692.2024.10454172 |
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2024 Journal Article MCRPL: A pretrain, prompt, and fine-tune paradigm for non-overlapping many-to-one cross-domain recommendationLiu, 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 |
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2024 Journal Article XSimGCL: towards extremely simple graph contrastive learning for recommendationYu, 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 |
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2024 Journal Article HiTSKT: A hierarchical transformer model for session-aware knowledge tracingKe, 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 |
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2024 Journal Article Portable graph-based rumour detection against multi-modal heterophilyNguyen, 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 |
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2024 Conference Publication Open-world semi-supervised learning for node classificationWang, 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 |
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2024 Conference Publication BIM: improving graph neural networks with balanced influence maximizationZhang, Wentao, Gao, Xinyi, Yang, Ling, Cao, Meng, Huang, Ping, Shan, Jiulong, Yin, Hongzhi and Cui, Bin (2024). BIM: improving graph neural networks with balanced influence maximization. 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE60146.2024.00228 |
