Overview
Background
Junliang Yu is currently an ARC DECRA Fellow with the Data Science discipline at The University of Queensland (UQ). Previously, he worked as a postdoctoral research fellow with Prof. Shazia Sadiq. He completed his PhD degree at UQ in 2023 under the supervision of Prof. Hongzhi Yin. Before his time at UQ, he earned his M.Sc. and B.E. degrees at Chongqing University, where he was supervised by Prof. Min Gao.
Availability
- Dr Junliang Yu is:
- Available for supervision
Qualifications
- Bachelor of Software Engineering, Chongqing University
- Masters (Research) of Software Engineering, Chongqing University
- Doctor of Philosophy of Data Science, The University of Queensland
Research interests
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Self-Supervised Learning
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Recommender Systems
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Tiny Machine Learning
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Data-Centric AI
Research impacts
He is dedicated to conducting influential and reproducible research. His work has received over 3,600 citations as of December 2024, with five of his conference papers being recognized as The Most Influential Papers by Paper Digest and three of my journal papers being recognized as ESI Hot / Highly Cited Papers in his research areas. He is actively involved in the open-source community and have developed two popular recommender system frameworks, QRec and SELFRec, which have together garnered over 2,000 stars.
Works
Search Professor Junliang Yu’s works on UQ eSpace
2018
Conference Publication
PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning
Song, Yuqi, Gao, Min, Yu, Junliang, Li, Wentao, Yu, Lulan and Xiao, Xinyu (2018). PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning. Springer Verlag. doi: 10.1007/978-3-030-00916-8_14
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
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
2017
Conference Publication
Make users and preferred items closer: recommendation via distance metric learning
Yu, Junliang, Gao, Min, Rong, Wenge, Song, Yuqi, Fang, Qianqi and Xiong, Qingyu (2017). Make users and preferred items closer: recommendation via distance metric learning. 24th International Conference on Neural Information Processing (ICONIP), Guangzhou, China, 14-18 November 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-70139-4_30
2017
Conference Publication
Connecting factorization and distance metric learning for social recommendations
Yu, Junliang, Gao, Min, Song, Yuqi, Zhao, Zehua, Rong, Wenge and Xiong, Qingyu (2017). Connecting factorization and distance metric learning for social recommendations. 10th International Conference on Knowledge Science, Engineering and Management (KSEM), Melbourne, VIC, Australia, 19-20 August 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-63558-3_33
2017
Conference Publication
PUD: social spammer detection based on PU learning
Song, Yuqi, Gao, Min, Yu, Junliang, Li, Wentao, Wen, Junhao and Xiong, Qingyu (2017). PUD: social spammer detection based on PU learning. 24th International Conference on Neural Information Processing (ICONIP), Guangzhou, China, 14-18 November 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-70139-4_18
Funding
Current funding
Supervision
Availability
- Dr Junliang Yu is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Scalable and Lightweight On-Device Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin, Dr Rocky Chen
Media
Enquiries
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