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2025 Conference Publication Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class PartitionGao, Xinyi, Ye, Guanhua, Chen, Tong, Zhang, Wentao, Yu, Junliang and Yin, Hongzhi (2025). Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714916 |
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2025 Conference Publication On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game PerspectiveTran, Hung Vinh, Chen, Tong, Ye, Guanhua, Nguyen, Quoc Viet Hung, Zheng, Kai and Yin, Hongzhi (2025). On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714921 |
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2025 Conference Publication Epidemiology-informed Network for Robust Rumor DetectionJiang, Wei, Chen, Tong, Gao, Xinyi, Zhang, Wentao, Cui, Lizhen and Yin, Hongzhi (2025). Epidemiology-informed Network for Robust Rumor Detection. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714610 |
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2025 Conference Publication Efficient traffic prediction through spatio-temporal distillationZhang, Qianru, Gao, Xinyi, Wang, Haixin, Yiu, Siu-Ming and Yin, Hongzhi (2025). Efficient traffic prediction through spatio-temporal distillation. 39th AAAI Conference on Artificial Intelligence, Philadelphia, PA USA, 25 February-4 March 2025. Washington, DC USA: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v39i1.32096 |
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2025 Conference Publication Rethinking cancer gene identification through graph anomaly analysisZang, Yilong, Ren, Lingfei, Li, Yue, Wang, Zhikang, Selby, David Antony, Wang, Zheng, Vollmer, Sebastian Josef, Yin, Hongzhi, Song, Jiangning and Wu, Junhang (2025). Rethinking cancer gene identification through graph anomaly analysis. 29th AAAI Conference on Artificial Intelligence, Philadelphia, PA USA, 25 February-4 March 2025. Washington, DC USA: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v39i12.33436 |
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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 Conference Publication Message from program chairs: CBD 2024Yin, Hongzhi, Wang, Xin, Shen, Jun, Zhang, Jianwei and Zhang, Jinghui (2025). Message from program chairs: CBD 2024. 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD), Brisbane, QLD Australia, 28 November 2024-2 December 2024. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/CBD65573.2024.00006 |
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2025 Conference Publication Disentangled representations for cross-domain recommendation via heterogeneous graph contrastive learningLiu, Xinyue, Li, Bohan, Chen, Yijun, Li, Xiaoxue, Xu, Shuai and Yin, Hongzhi (2025). Disentangled representations for cross-domain recommendation via heterogeneous graph contrastive learning. 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, Gifu, Japan, 2-5 July 2024. Singapore: Springer Nature Singapore. doi: 10.1007/978-981-97-5555-4_3 |
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2025 Conference Publication Training-free LLM Merging for Multi-task LearningFu, Zichuan, Wu, Xian, Wang, Yejing, Wang, Wanyu, Ye, Shanshan, Yin, Hongzhi, Chang, Yi, Zheng, Yefeng and Zhao, Xiangyu (2025). Training-free LLM Merging for Multi-task Learning. 63rd Association for Computational Linguistics Meeting-ACL-Annual, Vienna, Austria, 27 July - 1 August 2025. Stroudsburg, PA United States: Association for Computational Linguistics. doi: 10.18653/v1/2025.acl-long.1588 |
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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. ML Research Press. |
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2025 Conference Publication Multi-task learning of heterogeneous hypergraph representations in LBSNsNguyen, Dong Duc Anh, Nguyen, Minh Hieu, Nguyen, Phi Le, Jo, Jun, Yin, Hongzhi and Nguyen, Thanh Tam (2025). Multi-task learning of heterogeneous hypergraph representations in LBSNs. 20th International Conference, ADMA 2024, Sydney, NSW, Australia, 3 - 5 December 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-96-0821-8_11 |
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2025 Conference Publication Hyperbolic adversarial learning for personalized item recommendationZhang, Aoran, Yu, Yonghong, Xu, Gongyou, Gao, Rong, Zhang, Li, Gao, Shang and Yin, Hongzhi (2025). Hyperbolic adversarial learning for personalized item recommendation. 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, Gifu, Japan, 2-5 July 2024. Singapore: Springer Nature Singapore. doi: 10.1007/978-981-97-5555-4_20 |
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2024 Conference Publication Preference prototype-aware learning for universal cross-domain recommendationZhang, Yuxi, Zhang, Ji, Xu, Feiyang, Chen, Lvying, Li, Bohan, Guo, Lei and Yin, Hongzhi (2024). Preference prototype-aware learning for universal cross-domain 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: 10.1145/3627673.3679774 |
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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 Watermarking recommender systemsZhang, Sixiao, Long, Cheng, Yuan, Wei, Chen, Hongxu and Yin, Hongzhi (2024). Watermarking recommender systems. 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: 10.1145/3627673.3679617 |
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2024 Conference Publication Efficient and robust regularized federated recommendationLiu, Langming, Wang, Wanyu, Zhao, Xiangyu, Zhang, Zijian, Zhang, Chunxu, Lin, Shanru, Wang, Yiqi, Zou, Lixin, Liu, Zitao, Wei, Xuetao, Yin, Hongzhi and Li, Qing (2024). Efficient and robust regularized federated recommendation. 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: 10.1145/3627673.3679682 |
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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 DNS-Rec: data-aware neural architecture search for recommender systemsZhang, Sheng, Wang, Maolin, Zhao, Xiangyu, Guo, Ruocheng, Zhao, Yao, Zhuang, Chenyi, Gu, Jinjie, Zhang, Zijian and Yin, Hongzhi (2024). DNS-Rec: data-aware neural architecture search for recommender systems. 18h ACM Conference on Recommender Systems (RecSys), Bari, Italy, 14-18 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3640457.3688117 |
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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 Conference Publication Unveiling vulnerabilities of contrastive recommender systems to poisoning attacksWang, Zongwei, Yu, Junliang, Gao, Min, Yin, Hongzhi, Cui, Bin and Sadiq, Shazia (2024). Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671795 |
