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
2019
Conference Publication
A minimax game for generative and discriminative sample models for recommendation
Wang, Zongwei, Gao, Min, Wang, Xinyi, Yu, Junliang, Wen, Junhao and Xiong, Qingyu (2019). A minimax game for generative and discriminative sample models for recommendation. 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Macau, China, 14-17 April 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-16145-3_33
2018
Conference Publication
Collaborative shilling detection bridging factorization and user embedding
Dou, Tong, Yu, Junliang, Xiong, Qingyu, Gao, Min, Song, Yuqi and Fang, Qianqi (2018). Collaborative shilling detection bridging factorization and user embedding. 13th European Alliance for Innovation (EAI) International Conference on Collaborative Computing - Networking, Applications and Worksharing (CollaborateCom), Edinburgh, Scotland, 11-13 December 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-00916-8_43
2018
Conference Publication
Impact of the Important Users on Social Recommendation System
Zhao, Zehua, Gao, Min, Yu, Junliang, Song, Yuqi, Wang, Xinyi and Zhang, Min (2018). Impact of the Important Users on Social Recommendation System. Springer Verlag. doi: 10.1007/978-3-030-00916-8_40
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
2018
Conference Publication
Meta-path based heterogeneous graph embedding for music recommendation
Fang, Qianqi, Liu, Ling, Yu, Junliang and Wen, Junhao (2018). Meta-path based heterogeneous graph embedding for music recommendation. Springer Verlag. doi: 10.1007/978-3-030-04182-3_10
2018
Conference Publication
Detection of shilling attack based on bayesian model and user embedding
Yang, Fan, Gao, Min, Yu, Junliang, Song, Yuqi and Wang, Xinyi (2018). Detection of shilling attack based on bayesian model and user embedding. 30th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Volos, Greece, 5-7 November 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ictai.2018.00102
2018
Conference Publication
Integrating User Embedding and Collaborative Filtering for Social Recommendations
Yu, Junliang, Gao, Min, Song, Yuqi, Fang, Qianqi, Rong, Wenge and Xiong, Qingyu (2018). Integrating User Embedding and Collaborative Filtering for Social Recommendations. Springer Verlag. doi: 10.1007/978-3-030-00916-8_44
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
Chain-of-User-Thought for Personalized Agent in Cyber World
Associate Advisor
Other advisors: Professor Hongzhi Yin
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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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