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2025 Journal Article Robust federated contrastive recommender system against targeted model poisoning attackYuan, Wei, Yang, Chaoqun, Qu, Liang, Ye, Guanhua, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Robust federated contrastive recommender system against targeted model poisoning attack. Science China Information Sciences, 68 (4) 140103, 4. doi: 10.1007/s11432-024-4272-y |
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2025 Journal Article Graph condensation: a surveyGao, Xinyi, Yu, Junliang, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Yin, Hongzhi (2025). Graph condensation: a survey. IEEE Transactions on Knowledge and Data Engineering, 37 (4), 1819-1837. doi: 10.1109/tkde.2025.3535877 |
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2025 Journal Article Special topic on cloud-edge collaboration for on-device recommendationYin, Hongzhi, Cui, Bin, Zhou, Xiaofang, Chen, Tong, Nguyen, Quoc Viet Hung and Zhang, Xiangliang (2025). Special topic on cloud-edge collaboration for on-device recommendation. Science China-Information Sciences, 68 (4) 140100. doi: 10.1007/s11432-025-4334-2 |
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2025 Conference Publication Towards secure and robust recommender systems: a data-centric perspectiveWang, Zongwei, Yu, Junliang, Chen, Tong, Yin, Hongzhi, Sadiq, Shazia and Gao, Min (2025). Towards secure and robust recommender systems: a data-centric perspective. 18th International Conference on Web Search and Data Mining-WSDM, Hannover, Germany, 10-14 March 2025. New York, NY, United States: ACM. doi: 10.1145/3701551.3703484 |
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2025 Journal Article A thorough performance benchmarking on lightweight embedding-based recommender systemsTran, Hung Vinh, Chen, Tong, Quoc Viet Hung, Nguyen, Huang, Zi, Cui, Lizhen and Yin, Hongzhi (2025). A thorough performance benchmarking on lightweight embedding-based recommender systems. ACM Transactions on Information Systems, 43 (3) 63, 1-32. doi: 10.1145/3712589 |
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2025 Journal Article Revisit Point Cloud Quality Assessment: Current Advances and a Multiscale-Inspired ApproachZhang, Junzhe, Chen, Tong, Ding, Dandan and Ma, Zhan (2025). Revisit Point Cloud Quality Assessment: Current Advances and a Multiscale-Inspired Approach. IEEE Transactions on Visualization and Computer Graphics, 31 (10), 8886-8899. doi: 10.1109/TVCG.2025.3582309 |
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2025 Book Chapter Resource-efficient model deployment for Enterprise AIChen, Tong, Yu, Junliang and Yin, Hongzhi (2025). Resource-efficient model deployment for Enterprise AI. Enterprise AI. (pp. 3-23) edited by Shazia Sadiq. Cham, Switzerland: Springer. doi: 10.1007/978-3-032-01940-0_1 |
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2025 Book Databases Theory and Applications : 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, December 16–18, 2024, ProceedingsChen, Tong, Cao, Yang, Nguyen, Quoc Viet Hung and Nguyen, Thanh Tam eds. (2025). Databases Theory and Applications : 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, December 16–18, 2024, Proceedings. Lecture Notes in Computer Science, Singapore: Springer. doi: 10.1007/978-981-96-1242-0 |
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2025 Conference Publication Enhancing treatment effect estimation via active learning: a counterfactual covering perspectiveWen, Hechuan, Chen, Tong, Gong, Mingming, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Enhancing treatment effect estimation via active learning: a counterfactual covering perspective. 42nd International Conference on Machine Learning, ICML 2025, Vancouver, Canada, 13-19 July 2025. SAN DIEGO: ML Research Press. |
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2025 Conference Publication Towards propagation-aware representation learning for supervised social media graph analyticsJiang, Wei, Chen, Tong, Yuan, Wei, Zhao, Xiangyu, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Towards propagation-aware representation learning for supervised social media graph analytics. 2025 IEEE International Conference on Data Mining (ICDM), Washington, DC, United States, 12-15 November 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM65498.2025.00073 |
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2024 Conference Publication Scalable dynamic embedding size search for streaming recommendationQu, Yunke, Qu, Liang, Chen, Tong, Zhao, Xiangyu, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2024). Scalable dynamic embedding size search for streaming recommendation. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID USA, 21-25 October 2024. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3627673.3679638 |
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2024 Conference Publication Physics-guided active sample reweighting for urban flow predictionJiang, Wei, Chen, Tong, Ye, Guanhua, Zhang, Wentao, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Physics-guided active sample reweighting for urban flow prediction. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID, United States, 21-25 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3627673.3679738 |
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2024 Conference Publication Diffusion-based cloud-edge-device collaborative learning for next POI recommendationsLong, Jing, Ye, Guanhua, Chen, Tong, Wang, Yang, Wang, Meng and Yin, Hongzhi (2024). Diffusion-based cloud-edge-device collaborative learning for next POI recommendations. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671743 |
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2024 Conference Publication Graph condensation for open-world graph learningGao, Xinyi, Chen, Tong, Zhang, Wentao, Li, Yayong, Sun, Xiangguo and Yin, Hongzhi (2024). Graph condensation for open-world graph learning. KDD '24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671917 |
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2024 Conference Publication Hate speech detection with generalizable target-aware fairnessChen, Tong, Wang, Danny, Liang, Xurong, Risius, Marten, Demartini, Gianluca and Yin, Hongzhi (2024). Hate speech detection with generalizable target-aware fairness. KDD '24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671821 |
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2024 Journal Article Explicit knowledge graph reasoning for conversational recommendationRen, Xuhui, Chen, Tong, Nguyen, Quoc Viet Hung, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Explicit knowledge graph reasoning for conversational recommendation. ACM Transactions on Intelligent Systems and Technology, 15 (4) 86, 1-21. doi: 10.1145/3637216 |
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2024 Conference Publication Poisoning decentralized collaborative recommender system and its countermeasuresZheng, Ruiqi, Qu, Liang, Chen, Tong, Zheng, Kai, Shi, Yuhui and Yin, Hongzhi (2024). Poisoning decentralized collaborative recommender system and its countermeasures. SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3626772.3657814 |
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2024 Conference Publication Lightweight embeddings for graph collaborative filteringLiang, Xurong, Chen, Tong, Cui, Lizhen, Wang, Yang, Wang, Meng and Yin, Hongzhi (2024). Lightweight embeddings for graph collaborative filtering. SIGIR '24: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657820 |
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2024 Journal Article Personalized elastic embedding learning for on-device recommendationZheng, Ruiqi, Qu, Liang, Chen, Tong, Zheng, Kai, Shi, Yuhui and Yin, Hongzhi (2024). Personalized elastic embedding learning for on-device recommendation. IEEE Transactions on Knowledge and Data Engineering, 36 (7), 3363-3375. doi: 10.1109/tkde.2024.3361562 |
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2024 Conference Publication Fairness without sensitive attributes via knowledge sharingNi, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014 |
