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Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation


Aug 11, 2022
Yuxiang Shi, Yue Ding, Bo Chen, Yuyang Huang, Ruiming Tang, Dong Wang


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GraphCoCo: Graph Complementary Contrastive Learning


Mar 24, 2022
Jiawei Sun, Junchi Yan, Chentao Wu, Yue Ding, Ruoxin Chen, Xiang Yu, Xinyu Lu, Jie Li


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FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform


Nov 21, 2021
Runyuan Cai, Yue Ding, Hongtao Lu


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Extracting Attentive Social Temporal Excitation for Sequential Recommendation


Sep 28, 2021
Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang

* Accepted by CIKM 2021 

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On Isotropy Calibration of Transformers


Sep 27, 2021
Yue Ding, Karolis Martinkus, Damian Pascual, Simon Clematide, Roger Wattenhofer


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ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation


Sep 27, 2021
Yule Wang, Xin Xin, Yue Ding, Dong Wang


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DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction


Sep 26, 2021
Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng


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Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation


Mar 19, 2021
Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding

* 11 pages, WWW 2021 

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