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2025 Journal Article Graph condensation: a surveyGao, Xinyi, Yu, Junliang, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Yin, Hongzhi (2025). Graph condensation: a survey. IEEE Transactions on Knowledge and Data Engineering, 37 (4), 1819-1837. doi: 10.1109/tkde.2025.3535877 |
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2024 Journal Article XSimGCL: towards extremely simple graph contrastive learning for recommendationYu, 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 |
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2024 Journal Article Self-supervised learning for recommender systems: a surveyYu, 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 |
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2023 Journal Article Predictive and contrastive: dual-auxiliary learning for recommendationTao, 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 |
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2023 Journal Article Efficient on-device session-based recommendationXia, 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 |
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2023 Journal Article Who are the best adopters? User selection model for free trial item promotionWang, 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 |
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2021 Journal Article Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attackWu, 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 |
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2021 Journal Article Path-based reasoning over heterogeneous networks for recommendation via bidirectional modelingZhang, 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 |
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2021 Journal Article Fast-adapting and privacy-preserving federated recommender systemWang, 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 |
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2021 Journal Article Recommender systems based on generative adversarial networks: A problem-driven perspectiveGao, 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 |
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2020 Journal Article Enhance social recommendation with adversarial graph convolutional networksYu, 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 |
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2017 Journal Article A social recommender based on factorization and distance metric learningYu, 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 |
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2017 Journal Article Hybrid attacks on model-based social recommender systemsYu, 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 |
