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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

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

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Enhancing Sequential Recommendation with Graph Contrastive Learning


Jun 07, 2022
Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao

* 8 pages, 3 figures, Accepted by IJCAI 2022 

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Unified Question Generation with Continual Lifelong Learning


Jan 24, 2022
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui

* Paper accepted in The Web Conference (WWW) 2022 

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Graph Augmentation-Free Contrastive Learning for Recommendation


Dec 16, 2021
Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen


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Cross-modal Zero-shot Hashing by Label Attributes Embedding


Nov 07, 2021
Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang

* 7 pages, 2 figures 

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Open-Set Crowdsourcing using Multiple-Source Transfer Learning


Nov 07, 2021
Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang

* 8 pages, 1 figures 

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Crowdsourcing with Meta-Workers: A New Way to Save the Budget


Nov 07, 2021
Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang

* 11 pages, 6 figures 

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Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks


Nov 02, 2021
Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu

* International Workshop on AI for Cognitive and Physical Frailty Workshop in Conjunction with IJCAI 2021 (AIF-IJCAI'21) 

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PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion


Oct 21, 2021
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui

* Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM '22) 

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