Hongtao Lu

2025

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From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models.
Yanbiao Ji|Chang Liu|Xin Chen|Dan Luo|Mei Li|Yue Ding|Wenqing Lin|Hongtao Lu
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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Towards Personalized Federated Multi-Scenario Multi-Task Recommendation.
Yue Ding|Yanbiao Ji|Xun Cai|Xin Xin|Yuxiang Lu|Suizhi Huang|Chang Liu|Xiaofeng Gao|Tsuyoshi Murata|Hongtao Lu
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

2024

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Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study.
Yuwen Yang|Yuxiang Lu|Suizhi Huang|Shalayiding Sirejiding|Hongtao Lu|Yue Ding
Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024

2023

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Position-Aware Subgraph Neural Networks with Data-Efficient Learning.
Chang Liu|Yuwen Yang|Zhe Xie|Hongtao Lu|Yue Ding
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

2021

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Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation.
Yue Ding|Yuxiang Shi|Bo Chen|Chenghua Lin|Hongtao Lu|Jie Li|Ruiming Tang|Dong Wang
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
doi dblp
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation.
Zhe Xie|Chengxuan Liu|Yichi Zhang|Hongtao Lu|Dong Wang|Yue Ding
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.