|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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, 111310. doi: 10.1016/j.knosys.2023.111310 |
|
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, 111300. doi: 10.1016/j.knosys.2023.111300 |
|
2024 Conference Publication BOURNE: bootstrapped self-supervised learning framework for unified graph anomaly detectionLiu, 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 |
|
2024 Conference Publication Message from Conference Chairs: CBD 2024Yin, Hongzhi, Wang, Xin, Shen, Jun, Zhang, Jianwei and Zhang, Jinghui (2024). Message from Conference Chairs: CBD 2024. 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD), Brisbane, QLD Australia, 28 November - 2 December 2024. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/CBD65573.2024.00005 |
|
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 |
|
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 |
|
2024 Journal Article Self-supervised learning for recommender systems: a surveyYu, 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 |
|
2024 Conference Publication Distribution-aware data expansion with diffusion modelsZhu, Haowei, Yang, Ling, Yong, Jun-Hai, Yin, Hongzhi, Jiang, Jiawei, Xiao, Meng, Zhang, Wentao and Wang, Bin (2024). Distribution-aware data expansion with diffusion models. 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BC, Canada, 10-15 December 2024. San Mateo, CA, United States: Morgan Kaufmann Publishers. |
|
2024 Conference Publication Hide your model: a parameter transmission-free federated recommender systemYuan, Wei, Yang, Chaoqun, Qu, Liang, Nguyen, Quoc Viet Hung, Li, Jianxin and Yin, Hongzhi (2024). Hide your model: a parameter transmission-free federated recommender system. 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE60146.2024.00053 |
|
2023 Journal Article Isomorphic graph embedding for progressive maximal frequent subgraph miningNguyen, 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 |
|
2023 Conference Publication Model-free based Real-time Authentication Framework for Distributed SynchrophasorsZheng, Yao, Qiu, Wei, Yao, Wenxuan, Li, Bing, Duan, Junfeng and Yin, He (2023). Model-free based Real-time Authentication Framework for Distributed Synchrophasors. 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG), Wollongong, NSW Australia, 3-6 December 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/etfg55873.2023.10407596 |
|
2023 Conference Publication Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform MeasurementsQiu, Wei, Yin, He, Wu, Yuru, Dong, Yuqing, Zheng, Yao, Yao, Wenxuan and Liu, Yilu (2023). Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements. 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG), Wollongong, NSW Australia, 3-6 December 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/etfg55873.2023.10407459 |
|
2023 Conference Publication Learning compact compositional embeddings via regularized pruning for recommendationLiang, Xurong, Chen, Tong, Nguyen, Quoc Viet Hung, Li, Jianxin and Yin, Hongzhi (2023). Learning compact compositional embeddings via regularized pruning for recommendation. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, China, 1-4 December 2023. Los Alamitos, CA United States: IEEE. doi: 10.1109/icdm58522.2023.00047 |
|
2023 Conference Publication To predict or to reject: causal effect estimation with uncertainty on networked dataWen, Hechuan, Chen, Tong, Chai, Li Kheng, Sadiq, Shazia, Zheng, Kai and Yin, Hongzhi (2023). To predict or to reject: causal effect estimation with uncertainty on networked data. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, China, 1 - 4 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm58522.2023.00184 |
|
2023 Journal Article Heterogeneous collaborative learning for personalized healthcare analytics via messenger distillationYe, 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 |
