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Liang Qu

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Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation

Jan 31, 2024
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin

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Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation

Jan 25, 2024
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin

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On-Device Recommender Systems: A Comprehensive Survey

Jan 21, 2024
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang

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On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm

Dec 18, 2023
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui

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Hide Your Model: A Parameter Transmission-free Federated Recommender System

Nov 28, 2023
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin

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HeteFedRec: Federated Recommender Systems with Model Heterogeneity

Jul 24, 2023
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin

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Personalized Elastic Embedding Learning for On-Device Recommendation

Jun 18, 2023
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin

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Semi-decentralized Federated Ego Graph Learning for Recommendation

Feb 10, 2023
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin

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Single-shot Embedding Dimension Search in Recommender System

Apr 15, 2022
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin

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