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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 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 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 |
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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 |
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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 |
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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 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. |
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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 |
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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 |
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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 |
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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 |
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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 |
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2023 Conference Publication Self-supervised dynamic hypergraph recommendation based on hyper-relational knowledge graphLiu, Yi, Xuan, Hongrui, Li, Bohan, Wang, Meng, Chen, Tong and Yin, Hongzhi (2023). Self-supervised dynamic hypergraph recommendation based on hyper-relational knowledge graph. 32nd ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, United States, 21-25 October 2023. New York, NY, United States: ACM. doi: 10.1145/3583780.3615054 |
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2023 Conference Publication Semantic-aware node synthesis for imbalanced heterogeneous information networksGao, Xinyi, Zhang, Wentao, Chen, Tong, Yu, Junliang, Nguyen, Hung Quoc Viet and Yin, Hongzhi (2023). Semantic-aware node synthesis for imbalanced heterogeneous information networks. 32nd ACM International Conference on Information and Knowledge Management, Birmingham, United Kingdom, 21–25 October 2023. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3583780.3615055 |
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2023 Conference Publication Towards communication-efficient model updating for on-device session-based recommendationXia, Xin, Yu, Junliang, Xu, Guandong and Yin, Hongzhi (2023). Towards communication-efficient model updating for on-device session-based recommendation. 32nd ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, United Kingdom, 21-25 October 2023. New York, NY, United States: ACM. doi: 10.1145/3583780.3615088 |
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2023 Conference Publication Causality-guided graph learning for session-based recommendationYu, Dianer, Li, Qian, Yin, Hongzhi and Xu, Guandong (2023). Causality-guided graph learning for session-based recommendation. 32nd ACM International Conference on Information and Knowledge Management, Birmingham, United Kingdom, 21–25 October 2023. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3583780.3614803 |
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2023 Conference Publication Efficient bi-level optimization for recommendation denoisingWang, Zongwei, Gao, Min, Li, Wentao, Yu, Junliang, Guo, Linxin and Yin, Hongzhi (2023). Efficient bi-level optimization for recommendation denoising. 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA, United States, 6-10 August 2023. New York, NY, United States: ACM. doi: 10.1145/3580305.3599324 |
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2023 Conference Publication DREAM: adaptive reinforcement learning based on attention mechanism for temporal knowledge graph reasoningZheng, Shangfei, Yin, Hongzhi, Chen, Tong, Nguyen, Quoc Viet Hung, Chen, Wei and Zhao, Lei (2023). DREAM: adaptive reinforcement learning based on attention mechanism for temporal knowledge graph reasoning. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23–27 July 2023. New York, NY, United States: ACM. doi: 10.1145/3539618.3591671 |
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2023 Conference Publication Model-agnostic decentralized collaborative learning for on-device POI recommendationLong, Jing, Chen, Tong, Nguyen, Quoc Viet Hung, Xu, Guandong, Zheng, Kai and Yin, Hongzhi (2023). Model-agnostic decentralized collaborative learning for on-device POI recommendation. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23-27 July 2023. New York, NY, United States: ACM. doi: 10.1145/3539618.3591733 |
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2023 Conference Publication Continuous input embedding size search for recommender systemsQu, Yunke, Chen, Tong, Zhao, Xiangyu, Cui, Lizhen, Zheng, Kai and Yin, Hongzhi (2023). Continuous input embedding size search for recommender systems. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23-27 July 2023. New York, NY, United States: ACM. doi: 10.1145/3539618.3591653 |
