助理教授，硕士研究生导师。西南财经大学管理学博士，曾受国家留学基金委（CSC）资助在苏黎世联邦理工学院（ETH Zurich）计算机系联合培养（2022–2023）。从事金融科技、商务智能、人工智能和多模态大语言模型相关研究。在 IEEE Transactions on Knowledge and Data Engineering、Information Sciences、Neural Networks 和《计算机研究与发展》等国内外高水平期刊发表论文 6 篇。担任 IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Neural Networks and Learning Systems、ACM SIGKDD、AAAI、ACM MM 等国际顶级期刊和会议审稿人。作为第一主笔人撰写的研究报告 3 次获省部级领导批示。主持并完成厅级项目2项，参与江苏省社科项目 1 项。
Shaopeng Wei received his Ph.D. from Southwestern University of Finance and Economics in 2024. He was a visiting scholar at ETH Zurich (2022–2023) funded by CSC. Currently an assistant professor at Guangxi University. His research interests include graph learning, multi-agent systems, and fintech.
经历Experience
2024 – 广西大学工商管理学院 助理教授Assistant Professor, Guangxi University
2022 – 2023 – ETH Zurich 联合培养博士，CSC 资助，导师：Ce Zhang、Roger WattenhoferJoint-PhD, ETH Zurich, supervised by Prof. Ce Zhang & Prof. Roger Wattenhofer
2019 – 2024 – 西南财经大学 博士，导师：寇纲、赵宇PhD, Southwestern University of Finance and Economics，supervised by Prof. Gang Kou & Prof. Yu Zhao
2015 – 2019 – 华中农业大学 学士BSc, Huazhong Agricultural University
Shaopeng Wei, Jia Lv, Yu Guo, Qing Yang, Xingyan Chen, Yu Zhao, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou. Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks. Information Sciences, 2024. PaperProject
魏少朋, 梁婷, 赵宇, 庄福振*, 任福继. 面向企业信用风险评估的多视角异质图神经网络方法. 计算机研究与发展, 2024. Paper
Shaopeng Wei, Yu Zhao, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou. Graph Learning and Its Advancements on Large Language Models: A Holistic Survey. Neurocomputing, 2024. Paper
Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou. Learning Bi-typed multi-relational heterogeneous graph via dual hierarchical attention networks. IEEE Transactions on Knowledge and Data Engineering, 2022. Paper
Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou. Stock movement prediction based on bi-typed hybrid-relational market knowledge graph via dual attention networks. IEEE Transactions on Knowledge and Data Engineering, 2022. Paper
Yu Zhao, Leilei Wang, Cui Wang, Huaming Du, Shaopeng Wei, Huali Feng, Zongjian Yu*, Qing Li. Multi-granularity heterogeneous graph attention networks for extractive document summarization. Neural Networks, 2022. Paper
Shaopeng Wei, Jia Lv, Yu Guo, Qing Yang, Xingyan Chen, Yu Zhao, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou. Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks. Information Sciences, 2024. PaperProject
Shaopeng Wei, Yu Zhao, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou. Graph Learning and Its Advancements on Large Language Models: A Holistic Survey. Neurocomputing, 2024. Paper
Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou. Learning Bi-typed multi-relational heterogeneous graph via dual hierarchical attention networks. IEEE Transactions on Knowledge and Data Engineering, 2022. Paper
Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou. Stock movement prediction based on bi-typed hybrid-relational market knowledge graph via dual attention networks. IEEE Transactions on Knowledge and Data Engineering, 2022. Paper
Yu Zhao, Leilei Wang, Cui Wang, Huaming Du, Shaopeng Wei, Huali Feng, Zongjian Yu*, Qing Li. Multi-granularity heterogeneous graph attention networks for extractive document summarization. Neural Networks, 2022. Paper
工作论文Working Papers
Shaopeng Wei, Manzhen Wei, Haoyu Wang, Yu Zhao, Gang Kou. Melody-Guided Music Generation. arXivProject
Shaopeng Wei, Beni Egressy, Xingyan Chen, Yu Zhao, Fuzhen Zhuang, Roger Wattenhofer, Gang Kou. Graph Dimension Attention Networks for Enterprise Credit Assessment. arXiv
Xiaozhong Lyu, Stefan Grafberger, Samantha Biegel, Shaopeng Wei, Meng Cao, Sebastian Schelter, Ce Zhang. Improving Retrieval-Augmented Large Language Models via Data Importance Learning. arXiv
Shaopeng Wei, Manzhen Wei, Haoyu Wang, Yu Zhao, Gang Kou. Melody-Guided Music Generation. arXivProject
Shaopeng Wei, Beni Egressy, Xingyan Chen, Yu Zhao, Fuzhen Zhuang, Roger Wattenhofer, Gang Kou. Graph Dimension Attention Networks for Enterprise Credit Assessment. arXiv
Xiaozhong Lyu, Stefan Grafberger, Samantha Biegel, Shaopeng Wei, Meng Cao, Sebastian Schelter, Ce Zhang. Improving Retrieval-Augmented Large Language Models via Data Importance Learning. arXiv
人才培养Student Supervision
韦鳗珍（2023-2026），硕士（与赵宇教授联合指导），入职小红书（音乐大模型算法岗）
王文涛 （2024-2027），硕士，Global technical barriers to trade and disruptive technological innovation in export-oriented manufacturing, The 21st International Symposium on Global Manufacturing and China, Outstanding Paper Award
Manzhen Wei (2023-2026), Master Student（co-supervised with Prof. Yu Zhao）, joined Xiaohongshu as Music LLM Algorithm Engineer
Wentao Wang (2024–2027), Master Student, Global technical barriers to trade and disruptive technological innovation in export-oriented manufacturing", The 21st International Symposium on Global Manufacturing and China, Outstanding Paper Award
荣誉Honors
博士研究生国家奖学金National Doctoral Scholarship
曾康霖奖学金二等奖（全校 2 人）Zeng Kanglin Scholarship, Second Class (2 recipients)
PI · Effectiveness, Challenges and Countermeasures of Cross-border Tourism Development in Guangxi · Guangxi Social Science Federation (Gxskhq202504), 2025
PI · AI Empowered Grassroots Governance · Guangxi Social Work Dept (202543), 2025
PI · Deep Learning for Enterprise Multi-source Risk Transmission · Central Universities (JBK2207004)
PI · Explainable Graph Learning for Financial Risk · Central Universities Key Project (JBK2307022)