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Interaction-level Membership Inference Attack Against Federated Recommender Systems


Jan 30, 2023
Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin

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* This paper has been accepted by The Web Conference (WWW) 2023 

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Knowledge Enhancement for Multi-Behavior Contrastive Recommendation


Jan 13, 2023
Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin

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HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing


Dec 23, 2022
Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin

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Efficient Graph Neural Network Inference at Large Scale


Nov 05, 2022
Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

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Self-supervised Graph-based Point-of-interest Recommendation


Oct 22, 2022
Yang Li, Tong Chen, Peng-Fei Zhang, Zi Huang, 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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* Extension of Our SIGIR'22 Paper (On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation), submitted to TOIS. arXiv admin note: text overlap with arXiv:2204.11091 

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A Survey of Machine Unlearning


Sep 12, 2022
Thanh Tam Nguyen, Thanh Trung Huynh, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, Quoc Viet Hung Nguyen

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* fixed overlaps 

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Switchable Online Knowledge Distillation


Sep 12, 2022
Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang

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* 16 pages, 7 figures, accepted by ECCV 2022 

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XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation


Sep 08, 2022
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin

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* Extension of our SIGIR'22 paper "Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation", submitted to TKDE 

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