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Dr. Renqiang Luo

Assistant Professor of College of Computer Science and Technology
Jilin University

Email: lrenqiang@jlu.edu.cn
Office: [Computer Building, Qianwei South Campus, A427]

📝 About Me

Welcome to my academic homepage! I am a assistant professor at Jilin University. My research focuses on Trustworthy AI and Graph Learning, particularly applying fairness-aware encoding to address challenges in Graph Transformer.

[Google Scholar] | [ORCID] | [GitHub]

📢 News

• Oct 2025: Serve as PC member of ACM Web Conference '26.
• Sep 2025: Serve as PC member of PAKDD '26.
• Aug 2025: One paper entitled: Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment accepted by CIKM'25.
• Aug 2025: Serve as reviewer of IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
• Jul 2025: Serve as reviewer of KDD '26.
• Jul 2025: Serve as PC member of AAAI '26.
• Jun 2025: One paper entitled: RMTrans: Robust Multimodal Transformers for Patient Prognosis under Backdoor Threats accepted by TIST.
• Jun 2025: Awarded the Outstanding Reviewer at KDD '25.
• Apr 2025: Serve as PC member of ECAI '25.
• Mar 2025: One paper entitled: Multi-type Social Patterns-based Graph Learning accepted by Neurocomputing.
• Feb 2025: Serve as reviewer of KDD '25.
• Feb 2025: New position started in the College of Computer Science and Technology at Jilin University.
• Feb 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.
• Jan 2025: Serve as PC member of IJCAI '25.
• Jan 2025: One paper entitled: Factor Graph-based Interpretable Neural Networks accepted by ICLR'25.
• Jan 2025: Serve as PC member of ACM Web Conference '25 - Web for Good.
• Jan 2025: Serve as reviewer of ACM Transactions on Intelligent Systems and Technology (TIST).
• Dec 2024: Serve as PC member of ACM Web Conference '25.
• Dec 2024: Serve as reviewer of Information Processing & Management (IPM).
• Dec 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.
• Jul 2024: Awarded the Student Travel Award for attending KDD'24.
• May 2024: One paper entitled: FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks accepted by KDD'24.
• May 2024: Serve as reviewer of ACM Transactions on Probabilistic Machine Learning (TOPML).
• Apr 2024: One paper entitled: FairGT: A Fairness-aware Graph Transformer accepted by IJCAI'24.
• Mar 2024: Serve as reviewer of IJCAI '24.