Junliang Yu

ScholarGPS® ID: 84374439050443

Affiliation

University of Queensland, Brisbane, Queensland, Australia, Australia

Affiliation History

Field

Engineering and Computer Science

Discipline

Electrical and Computer Engineering

Top Specialties

Recommender System | Data Mining | Artificial Intelligence | Heterogeneous Network

Metrics Summary

Publication Count

Predicted Citations

1,366

Predicted h-index

Ranking

Publications and Citation History

Publications based on Top Specialties

Types of Publication

Publications
Books
Patents
NIH/NSF

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Self-Supervised Learning for Recommender Systems: A Survey (journal article) Yu, Junliang \| Yin, Hongzhi \| Xia, Xin \| Chen, Tong \| Li, Jundong \| Huang, Zi IEEE Transactions on Knowledge and Data Engineering, volume 36, issue 1, pages 335-355 (2024). 10.1109/TKDE.2023.3282907 Cited by (49) \| Cite \| Source
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation (conference) Xia, Xin \| Yu, Junliang \| Xu, Guandong \| Yin, Hongzhi CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management (2023) Birmingham United Kingdom 10.1145/3583780.3615088 Cited by (4) \| Cite \| Source
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation (journal article) Tao, Yinghui \| Gao, Min \| Yu, Junliang \| Wang, Zongwei \| Xiong, Qingyu \| Wang, Xu IEEE Transactions on Computational Social Systems, volume 10, issue 5, pages 2254-2265 (2023). 10.1109/TCSS.2022.3185714 Cited by (3) \| Cite \| Source
Efficient Bi-Level Optimization for Recommendation Denoising (conference) Wang, Zongwei \| Gao, Min \| Li, Wentao \| Yu, Junliang \| Guo, Linxin \| Yin, Hongzhi KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023) Long Beach CA USA 10.1145/3580305.3599324 Cited by (3) \| Cite \| Source
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation (journal article) Yu, Junliang \| Xia, Xin \| Chen, Tong \| Cui, Lizhen \| Hung, Nguyen Quoc Viet \| Yin, Hongzhi IEEE Transactions on Knowledge and Data Engineering (2023). 10.1109/TKDE.2023.3288135 Cited by (19) \| Cite \| Source
Fast-adapting and privacy-preserving federated recommender system (journal article) Wang, Qinyong \| Yin, Hongzhi \| Chen, Tong \| Yu, Junliang \| Zhou, Alexander \| Zhang, Xiangliang The VLDB Journal, volume 31, issue 5, pages 877-896 (2022). 10.1007/s00778-021-00700-6 Cited by (52) \| Cite \| Source
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks (journal article) Yu, Junliang \| Yin, Hongzhi \| Li, Jundong \| Gao, Min \| Huang, Zi \| Cui, Lizhen IEEE Transactions on Knowledge and Data Engineering, volume 34, issue 8, pages 3727-3739 (2022). 10.1109/TKDE.2020.3033673 Cited by (74) \| Cite \| Source
Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack (journal article) Wu, Fan \| Gao, Min \| Yu, Junliang \| Wang, Zongwei \| Liu, Kecheng \| Wang, Xu Information Sciences, volume 578 (2021). 10.1016/j.ins.2021.07.041 Cited by (17) \| Cite \| Source
Self-Supervised Graph Co-Training for Session-based Recommendation (conference) Xia, Xin \| Yin, Hongzhi \| Yu, Junliang \| Shao, Yingxia \| Cui, Lizhen CIKM '21: The 30th ACM International Conference on Information and Knowledge Management (2021) Virtual Event Queensland Australia 10.1145/3459637.3482388 Cited by (111) \| Cite \| Source
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation (conference) Zhang, Junwei \| Gao, Min \| Yu, Junliang \| Guo, Lei \| Li, Jundong \| Yin, Hongzhi CIKM '21: The 30th ACM International Conference on Information and Knowledge Management (2021) Virtual Event Queensland Australia 10.1145/3459637.3482426 Cited by (72) \| Cite \| Source
Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling (journal article) Zhang, Junwei \| Gao, Min \| Yu, Junliang \| Yang, Linda \| Wang, Zongwei \| Xiong, Qingyu Neurocomputing, volume 461 (2021). 10.1016/j.neucom.2021.07.038 Cited by (11) \| Cite \| Source
Socially-Aware Self-Supervised Tri-Training for Recommendation (conference) Yu, Junliang \| Yin, Hongzhi \| Gao, Min \| Xia, Xin \| Zhang, Xiangliang \| Viet Hung, Nguyen Quoc KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2021) Virtual Event Singapore 10.1145/3447548.3467340 Cited by (107) \| Cite \| Source
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation (journal article) Xia, Xin \| Yin, Hongzhi \| Yu, Junliang \| Wang, Qinyong \| Cui, Lizhen \| Zhang, Xiangliang Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, issue 5, pages 4503-4511 (2021). 10.1609/aaai.v35i5.16578 Cited by (293) \| Cite \| Source
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation (conference) Yu, Junliang \| Yin, Hongzhi \| Li, Jundong \| Wang, Qinyong \| Hung, Nguyen Quoc Viet \| Zhang, Xiangliang WWW '21: The Web Conference 2021 (2021) Ljubljana Slovenia 10.1145/3442381.3449844 Cited by (234) \| Cite \| Source
Recommender systems based on generative adversarial networks: A problem-driven perspective (journal article) Gao, Min \| Zhang, Junwei \| Yu, Junliang \| Li, Jundong \| Wen, Junhao \| Xiong, Qingyu Information Sciences, volume 546 (2021). 10.1016/j.ins.2020.09.013 Cited by (48) \| Cite \| Source
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation (conference) Yu, Junliang \| Gao, Min \| Yin, Hongzhi \| Li, Jundong \| Gao, Chongming \| Wang, Qinyong 2019 IEEE International Conference on Data Mining (ICDM) (2019) Beijing, China 10.1109/ICDM.2019.00087 Cited by (62) \| Cite \| Source
Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation (conference) Zhang, Junwei \| Gao, Min \| Yu, Junliang \| Wang, Xinyi \| Song, Yuqi \| Xiong, Qingyu 2019 International Joint Conference on Neural Networks (IJCNN) (2019) Budapest, Hungary 10.1109/IJCNN.2019.8851992 Cited by (2) \| Cite \| Source
A Minimax Game for Generative and Discriminative Sample Models for Recommendation (book chapter) In Advances in Knowledge Discovery and Data Mining Wang, Zongwei \| Gao, Min \| Wang, Xinyi \| Yu, Junliang \| Wen, Junhao \| Xiong, Qingyu Springer International Publishing (2019) 10.1007/978-3-030-16145-3_33 Cited by (15) \| Cite \| Source
Social Recommendation Based on Implicit Friends Discovering Via Meta-Path (conference) Song, Yuqi \| Gao, Min \| Yu, Junliang \| Xiong, Qingyu 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) (2018) Volos, Greece 10.1109/ICTAI.2018.00039 Cited by (4) \| Cite \| Source
Detection of Shilling Attack Based on Bayesian Model and User Embedding (conference) Yang, Fan \| Gao, Min \| Yu, Junliang \| Song, Yuqi \| Wang, Xinyi 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) (2018) Volos, Greece 10.1109/ICTAI.2018.00102 Cited by (15) \| Cite \| Source