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2024

Journal Article

XSimGCL: towards extremely simple graph contrastive learning for recommendation

Yu, Junliang, Xia, Xin, Chen, Tong, Cui, Lizhen, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2024). XSimGCL: towards extremely simple graph contrastive learning for recommendation. IEEE Transactions on Knowledge and Data Engineering, 36 (2), 913-926. doi: 10.1109/tkde.2023.3288135

XSimGCL: towards extremely simple graph contrastive learning for recommendation

2024

Journal Article

Self-supervised learning for recommender systems: a survey

Yu, Junliang, Yin, Hongzhi, Xia, Xin, Chen, Tong, Li, Jundong and Huang, Zi (2024). Self-supervised learning for recommender systems: a survey. IEEE Transactions on Knowledge and Data Engineering, 36 (1), 335-355. doi: 10.1109/tkde.2023.3282907

Self-supervised learning for recommender systems: a survey

2023

Journal Article

Predictive and contrastive: dual-auxiliary learning for recommendation

Tao, Yinghui, Gao, Min, Yu, Junliang, Wang, Zongwei, Xiong, Qingyu and Wang, Xu (2023). Predictive and contrastive: dual-auxiliary learning for recommendation. IEEE Transactions on Computational Social Systems, 10 (5), 2254-2265. doi: 10.1109/TCSS.2022.3185714

Predictive and contrastive: dual-auxiliary learning for recommendation

2023

Journal Article

Efficient on-device session-based recommendation

Xia, Xin, Yu, Junliang, Wang, Qinyong, Yang, Chaoqun, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2023). Efficient on-device session-based recommendation. ACM Transactions on Information Systems, 41 (4) 102, 1-24. doi: 10.1145/3580364

Efficient on-device session-based recommendation

2023

Journal Article

Who are the best adopters? User selection model for free trial item promotion

Wang, Shiqi, Gao, Chongming, Gao, Min, Yu, Junliang, Wang, Zongwei and Yin, Hongzhi (2023). Who are the best adopters? User selection model for free trial item promotion. IEEE Transactions on Big Data, 9 (2), 746-757. doi: 10.1109/tbdata.2022.3205334

Who are the best adopters? User selection model for free trial item promotion

2023

Journal Article

Bi-Graph Mix-random Walk Based Social Recommendation Model 基于双图混合随机游走的社会化推荐模型

Cao, Yang, Gao, Min, Yu, Jun-Liang, Fan, Qi-Lin, Rong, Wen-Ge and Wen, Jun-Hao (2023). Bi-Graph Mix-random Walk Based Social Recommendation Model 基于双图混合随机游走的社会化推荐模型. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 51 (2), 286-296. doi: 10.12263/DZXB.20210504

Bi-Graph Mix-random Walk Based Social Recommendation Model 基于双图混合随机游走的社会化推荐模型

2021

Journal Article

Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack

Wu, Fan, Gao, Min, Yu, Junliang, Wang, Zongwei, Liu, Kecheng and Wang, Xu (2021). Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack. Information Sciences, 578, 683-701. doi: 10.1016/j.ins.2021.07.041

Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack

2021

Journal Article

Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling

Zhang, Junwei, Gao, Min, Yu, Junliang, Yang, Linda, Wang, Zongwei and Xiong, Qingyu (2021). Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling. Neurocomputing, 461, 438-449. doi: 10.1016/j.neucom.2021.07.038

Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling

2021

Journal Article

Fast-adapting and privacy-preserving federated recommender system

Wang, Qinyong, Yin, Hongzhi, Chen, Tong, Yu, Junliang, Zhou, Alexander and Zhang, Xiangliang (2021). Fast-adapting and privacy-preserving federated recommender system. The VLDB Journal, 31 (5), 877-896. doi: 10.1007/s00778-021-00700-6

Fast-adapting and privacy-preserving federated recommender system

2021

Journal Article

Recommender systems based on generative adversarial networks: A problem-driven perspective

Gao, Min, Zhang, Junwei, Yu, Junliang, Li, Jundong, Wen, Junhao and Xiong, Qingyu (2021). Recommender systems based on generative adversarial networks: A problem-driven perspective. Information Sciences, 546, 1166-1185. doi: 10.1016/j.ins.2020.09.013

Recommender systems based on generative adversarial networks: A problem-driven perspective

2020

Journal Article

Enhance social recommendation with adversarial graph convolutional networks

Yu, Junliang, Yin, Hongzhi, Li, Jundong, Gao, Min, Huang, Zi and Cui, Lizhen (2020). Enhance social recommendation with adversarial graph convolutional networks. IEEE Transactions on Knowledge and Data Engineering, 34 (8), 1-1. doi: 10.1109/tkde.2020.3033673

Enhance social recommendation with adversarial graph convolutional networks

2017

Journal Article

A social recommender based on factorization and distance metric learning

Yu, Junliang, Gao, Min, Rong, Wenge, Song, Yuqi and Xiong, Qingyu (2017). A social recommender based on factorization and distance metric learning. IEEE Access, 5 8066292, 21557-21566. doi: 10.1109/access.2017.2762459

A social recommender based on factorization and distance metric learning

2017

Journal Article

Hybrid attacks on model-based social recommender systems

Yu, Junliang, Gao, Min, Rong, Wenge, Li, Wentao, Xiong, Qingyu and Wen, Junhao (2017). Hybrid attacks on model-based social recommender systems. Physica A: Statistical Mechanics and its Applications, 483, 171-181. doi: 10.1016/j.physa.2017.04.048

Hybrid attacks on model-based social recommender systems