Renqiang Luo

Renqiang Luo

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

  • 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
  • Jilin University
    AP (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)
  • AAAI Conference on Aritifical Intelligence (AAAI)
  • European Conference on Artificial Intelligence (ECAI)

Invited Reviewer & External Reviewer:

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)
  • Renqiang Luo, Ziqi Xu, Xikun Zhang, Qing Qing, Huafei Huang, Enyan Dai, Zhe Wang, Bo Yang. 2025. Fairness in Graph Learning Augmented with Machine Learning: A Survey. arXiv preprint arXiv:2504.21296.(arxiv)
  • Tao Tang, Guoqing Han, Renqiang Luo*, Feng Ding*, Shuo Yu, Ivan Lee. 2025. RMTrans: Robust Multimodal Transformers for Patient Prognosis under Backdoor Treats. ACM Transactions on Intelligent Systems and Technology. (TIST)
  • Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia. 2025. Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment. Proceeding of the 34th ACM International Conference on Information and Knowledge Management.
  • Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong. 2025. Graph Learning. arXiv preprint arXiv:2507.05636.
  • 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

  • 08/2025: One paper entitled: Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment accepted by CIKM’25.
  • 07/2025: Serve as reviewer of KDD’26.
  • 07/2025: Serve as PC member of AAAI’26.
  • 06/2025: One paper entitled: RMTrans: Robust Multimodal Transformers for Patient Prognosis under Backdoor Threats accepted by TIST.
  • 06/2025: Awarded the Outstanding Reviewer at KDD’25.
  • 04/2025: Serve as PC member of ECAI’25.
  • 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’25.
  • 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.