About Me
I am an Assistant Professor in the College of Computer Science and Technology at Jilin University. Prior to that, I obatained my Ph.D. degree from Dalian University of Technology advised by Prof. Feng Xia. Before that, I received the BSc. degree in Probability and Statistics from University of Science and Technology of China (USTC), China, in 2016, and the MSc. degree in Data Science from University of South Australia (UniSA), Australia, in 2019
Experiences
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University of Science and Technology of ChinaB.Sc. (Probability and Statistics), 2012-2016
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University of South AustraliaM.Sc. (Data Science), 2017-2019
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Dalian University of TechnologyPhD (Data Science), 2020-2024
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Jilin UniversityAP (Computer Science and Technology), 2025-
Research Interests
- Graph Learning, Algorithmic Fairness, Trustworthy AI
Honors and Awards
- KDD 2024 Student Travel Award
- First Prize in The Chinese Mathematical Society, The 14th in the Jilin Province (2011)
Services
Invited Program Committee Member:
- International Joint Conference on Artificial Intelligence (IJCAI)
Invited Reviewer & External Reviewer:
AAAI, WWW, KDD, IPM, ICDM, ICA3PP, TIST, BigData, TNNLS, CSUR, TOPML, TKDD, etc.
Publications
- Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia. 2025. FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning. Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI). (AAAI) (CODE)
- Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Jiayuan He, Xiuzhen Zhang, and Feng Xia. 2024. FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). (KDD) (CODE)
- Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, and Feng Xia. 2024. FairGT: A Fairness-aware Graph Transformer. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). (IJCAI) (CODE)
- Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang. 2024. Algorithmic Fairness: A Tolerance Perspective. arXiv preprint arXiv:2405.09543. (arxiv)
- Shuo Yu, Zhuoyang Han, Feng Ding, Huafei Huang, Renqiang Luo, Guoqing Han, Feng Xia. 2025. Multi-type Social Patterns-based Graph Learning. Neurocomputing.
- Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia. 2025. Factor Graph-based Interpretable Neural Networks. Proceedings of the 13th International Conference on Learning Representations (ICLR).
- Mingliang Hou, Xueyi Li, Teng Guo, Zitao Liu, Mi Tian, Renqiang Luo, Weiqi Luo. 2025. Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing. Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI).
News
- 03/2025: One paper entitled: Multi-type Social Patterns-based Graph Learning accepted by Neurocomputing.
- 02/2025: Serve as reviewer of KDD’25.
- 02/2025: New position started in the College of Computer Science and Technology at Jilin University.
- 02/2025: The paper FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning has been invited to be presented at an oral session at AAAI 2025.
- 01/2025: Serve as PC member of IJCAI’25.
- 01/2025: One paper entitled: Factor Graph-based Interpretable Neural Networks accepted by ICLR’25.
- 01/2025: Serve as PC member of WWW’25 - Web for Good.
- 01/2025: Serve as reviewer of TIST.
- 12/2024: Serve as reviewer of The ACM Web Conference’25.
- 12/2024: Serve as reviewer of IPM.
- 12/2024: Two paper entitled: FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning and Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing accepted by AAAI’25.
- 07/2024: Awarded the Student Travel Award for attending KDD’24.
- 05/2024: One paper entitled: FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks accepted by KDD’24.
- 05/2024: Serve as reviewer of TOPML.
- 04/2024: One paper entitled: FairGT: A Fairness-aware Graph Transformer accepted by IJCAI’24.
- 03/2024: Serve as reviewer of IJCAI’24.