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Junliang Yu

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Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation

Jan 31, 2024
Lei Guo, Ziang Lu, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin

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Graph Condensation: A Survey

Jan 22, 2024
Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin

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Poisoning Attacks against Recommender Systems: A Survey

Jan 14, 2024
Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia Sadiq

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Poisoning Attacks Against Contrastive Recommender Systems

Nov 30, 2023
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq

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Motif-Based Prompt Learning for Universal Cross-Domain Recommendation

Oct 20, 2023
Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin

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Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation

Oct 17, 2023
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

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Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation

Aug 24, 2023
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin

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Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks

Feb 27, 2023
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin

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Efficient On-Device Session-Based Recommendation

Sep 28, 2022
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin

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