About Me

Renqiang Luo is a final-year Ph.D. candidate in Data Science at Dalian University of Technology advised by Prof. Feng Xia. Before that, he 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

• University of Science and Technology of China
  B.Sc. (Probability and Statistics), 2012-2016
• University of South Australia
  M.Sc. (Data Science), 2017-2019
• Dalian University of Technology
  PhD (Data Science), 2020-2024

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)

Invited Reviewer

• International Joint Conference on Artificial Intelligence (IJCAI)
• The ACM Web Conference
• Information Processing and Management (IPM)
• IEEE International Conference on Data Mining (ICDM)
• International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP)
• IEEE International Conference on Big Data (BigData)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• ACM Computing Surveys (CSUR)
• ACM Transactions on Probabilistic Machine Learning (TOPML)
• ACM Transactions on Knowledge Discovery from Data (TKDD)
• Humanities & social sciences communications
• PLOS ONE

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 38th Annual AAAI Conference on Artificial Intelligence (AAAI). (arxiv) (CODE)
• 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 38th Annual AAAI Conference on Artificial Intelligence (AAAI).
• 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)

News

• 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.