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2025

Conference Publication

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation

Wen, Hechuan, Chen, Tong, Ye, Guanhua, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation. KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3 - 7 August 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3690624.3709305

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation

2025

Conference Publication

BiasNavi: LLM-Empowered Data Bias Management

Yu, Junliang, Huynh, Jay Thai Duong, Fan, Shaoyang, Demartini, Gianluca, Chen, Tong, Yin, Hongzhi and Sadiq, Shazia (2025). BiasNavi: LLM-Empowered Data Bias Management. New York, NY, USA: ACM. doi: 10.1145/3701716.3715169

BiasNavi: LLM-Empowered Data Bias Management

2025

Conference Publication

The 3rd Workshop on Personal Intelligence with Generative AI

Zhang, Yang, Wang, Wenjie, Lin, Xinyu, Feng, Fuli, Yin, Hongzhi, Zhao, Wayne Xin, Yao, Lina, Song, Yang and He, Xiangnan (2025). The 3rd Workshop on Personal Intelligence with Generative AI. New York, NY, USA: ACM. doi: 10.1145/3701716.3717524

The 3rd Workshop on Personal Intelligence with Generative AI

2025

Conference Publication

Graph Condensation: Foundations, Methods and Prospects

Yin, Hongzhi, Gao, Xinyi, Yu, Junliang, Qiu, Ruihong, Chen, Tong, Nguyen, Quoc Viet Hung and Huang, Zi (2025). Graph Condensation: Foundations, Methods and Prospects. New York, NY, USA: ACM. doi: 10.1145/3701716.3715862

Graph Condensation: Foundations, Methods and Prospects

2025

Conference Publication

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition

Gao, 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

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition

2025

Conference Publication

On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective

Tran, 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

On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective

2025

Conference Publication

Epidemiology-informed Network for Robust Rumor Detection

Jiang, 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

Epidemiology-informed Network for Robust Rumor Detection

2025

Conference Publication

Towards Secure and Robust Recommender Systems: A Data-Centric Perspective

Wang, 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, Mar 10-14, 2025. New York, NY, USA: ACM. doi: 10.1145/3701551.3703484

Towards Secure and Robust Recommender Systems: A Data-Centric Perspective

2025

Conference Publication

Message from program chairs: CBD 2024

Yin, 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

Message from program chairs: CBD 2024

2025

Conference Publication

Disentangled representations for cross-domain recommendation via heterogeneous graph contrastive learning

Liu, 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

Disentangled representations for cross-domain recommendation via heterogeneous graph contrastive learning

2025

Conference Publication

Multi-task learning of heterogeneous hypergraph representations in LBSNs

Nguyen, 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

Multi-task learning of heterogeneous hypergraph representations in LBSNs

2025

Conference Publication

Hyperbolic adversarial learning for personalized item recommendation

Zhang, 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

Hyperbolic adversarial learning for personalized item recommendation

2024

Conference Publication

Distribution-Aware Data Expansion with Diffusion Models

Zhu, 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 Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, 10-15 December 2024. Maryland Heights, MO United States: Morgan Kaufmann Publishers.

Distribution-Aware Data Expansion with Diffusion Models

2024

Conference Publication

Preference prototype-aware learning for universal cross-domain recommendation

Zhang, 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

Preference prototype-aware learning for universal cross-domain recommendation

2024

Conference Publication

Physics-guided active sample reweighting for urban flow prediction

Jiang, 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

Physics-guided active sample reweighting for urban flow prediction

2024

Conference Publication

Watermarking recommender systems

Zhang, 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

Watermarking recommender systems

2024

Conference Publication

Efficient and robust regularized federated recommendation

Liu, 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

Efficient and robust regularized federated recommendation

2024

Conference Publication

Scalable dynamic embedding size search for streaming recommendation

Qu, 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

Scalable dynamic embedding size search for streaming recommendation

2024

Conference Publication

DNS-Rec: data-aware neural architecture search for recommender systems

Zhang, 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

DNS-Rec: data-aware neural architecture search for recommender systems

2024

Conference Publication

Hate speech detection with generalizable target-aware fairness

Chen, 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

Hate speech detection with generalizable target-aware fairness