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A Systematical Evaluation for Next-Basket Recommendation Algorithms


Sep 07, 2022
Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng


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Trustworthy Recommender Systems


Aug 10, 2022
Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci


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Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation


Jul 29, 2022
Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu

* this work was just accepted by IEEE Transactions on Cybernetics on 22 July 2022. arXiv admin note: substantial text overlap with arXiv:2005.03924 

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Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities


May 22, 2022
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal

* SIGIR 2022 

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Rethinking Adjacent Dependency in Session-based Recommendations


Jan 29, 2022
Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang

* 12 pages, 4 figures, conference 

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Aspect-driven User Preference and News Representation Learning for News Recommendation


Oct 12, 2021
Rongyao Wang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang

* 20 pages 

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Next-item Recommendations in Short Sessions


Jul 20, 2021
Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang

* This paper has been accepted by ACM RecSys'21 

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Graph Learning based Recommender Systems: A Review


May 13, 2021
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu

* Accepted by IJCAI 2021 Survey Track, copyright is owned to IJCAI. The first systematic survey on graph learning based recommender systems. arXiv admin note: text overlap with arXiv:2004.11718 

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Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation


May 30, 2020
Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu

* Accepted by IEEE Intelligent Systems 

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