罗仁强
职称：助理教授、博士生导师
毕业院校：大连理工大学
研究方向：图学习、可信人工智能
Email：lrenqiang@jlu.edu.cn
个人简介
罗仁强，吉林大学计算机科学与技术学院助理教授，博士生导师。近三年共计发表高水平学术论文10余篇，其中以第一责任作者在IJCAI、KDD、AAAI、WWW等CCF-A类会议上发表高水平学术论文7篇。
每年招收博士研究生1名，硕士研究生2名。所在研究组（Trustworthy Epsilon Lab）成立于2026年，目前团队成员30余人，涵盖本科生、硕士生和博士生，以及多位海外博士后、助理教授。科研氛围浓厚，方向众多，每年有充足的博士和硕士招生名额，欢迎对研究组有兴趣的同学加入，并对每位同学量身定制研究课题，定期开展一对一讨论。欢迎对科研充满热情且具有内在驱动力的同学投递简历。
工作经历
2025.04- 至今 吉林大学 计算机科学与技术学院 助理教授、博士生导师
教育经历
[1]. 2020.09 至 2024.12, 大连理工大学, 软件工程 博士
[2]. 2017.07 至 2019.10, 南澳大学（现已合并为阿德莱德大学，QS前百）, 数据科学, 硕士
[3]. 2012.07 至 2016.09, 中国科学技术大学，数学与应用数学，学士
论文发表
[1]. Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang, Shuo Yu. 2026. Brdging Semantic Understanding and Popularity Bias with LLMs. WWW. (CCF A类会议，第一作者)
[2]. Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia. 2026. FairGE: Fairness-aware Graph Encoding in Incomplete Social Networks. WWW. (CCF A类会议，第一作者)
[3]. Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia. 2026. FairGU: Fairness-aware Graph Unlearning in Social Networks. WWW. (CCF A类会议，第一作者)
[4]. Wentao Gao, Xiaojing Du, Xiongren Chen, Yifan Guo, Andres Cifuentes Bernal, Renqiang Luo*, Ziqi Xu. 2026. Energy-efficient Training-free Zero-inflation Correction for Rainfall Forecasting with Time-series Foundation Models. WWW. (CCF A类会议，独立通讯)
[5]. Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia. 2025. FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning. AAAI. (CCF A类会议，第一作者)
[6]. 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. KDD. (CCF A类会议，第一作者)
[7]. Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, and Feng Xia. 2024. FairGT: A Fairness-aware Graph Transformer. IJCAI. (CCF A类会议，第一作者)
[8]. Tao Tang, Guoqing Han, Renqiang Luo*, Feng Ding*, Shuo Yu, Ivan Lee. 2025. RMTrans: Robust Multimodal Transformers for Patient Prognosis under Backdoor Treats. TIST. (JCR Q1期刊，共同通讯)
[9]. Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia. 2026, When to Invoke: Refining LLM Fairness with Toxicity Assessment. WWW. (CCF A类会议)
[10]. Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xiuzhen Zhang, Yongli Ren, Feng Xia. 2026. Debiasing Large Language Models via Adaptive Causal Prompting with Sktech-of-Thought. EACL. (Core A类会议)
[11]. Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong. Graph Learning. Foundations and Trends in Signal Processing. (JCR Q1期刊，CiteScore:41.70)
[12]. 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. CIKM. (CCF B类会议)
[13]. Shuo Yu, Zhuoyang Han, Feng Ding, Huafei Huang, Renqiang Luo, Guoqing Han, Feng Xia. 2025. Multi-type Social Patterns-based Graph Learning. Neurocomputing. (JCR Q1期刊)
[14]. Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia. 2025. Factor Graph-based Interpretable Neural Networks. ICLR. (Core A*类会议)
[15]. Mingliang Hou, Xueyi Li, Teng Guo, Zitao Liu, Mi Tian, Renqiang Luo, Weiqi Luo. 2025. Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing. AAAI. (CCF A类会议)
获奖情况
1. KDD Student Travel Award
2. 全国高中数学联赛一等奖
学术服务
[1]. 期刊审稿人
- Information Processing and Management (IPM)
- 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)
- ACM Transactions on Intelligent Systems and Technology (TIST)
[2]. 会议审稿人
- CCF A类会议：IJCAI、KDD、WWW、AAAI
- CCF B类会议：ICDM、ECAI
- CCF C类会议：PAKDD、IEEE BigData
