魏少朋 Shaopeng Wei

About Me

I’m currently an Assistant Professor with School of Business, Guangxi University, China.

Experience

• 2022-2023 joint-PhD student funded by CSC (China Scholarship Council), supervised by Prof. Ce Zhang, and Prof. Roger Wattenhofer, ETH Zurich, Switzerland
• 2019-2024 Southwestern University of Finance and Economics (SWUFE), Chengdu, China
  • PhD student, Majoring in Management of Big Data, supervised by Prof. Gang Kou and Prof. Yu Zhao (co-supervise)
• 2015-2019 Huazhong Agricultural University (HZAU), Wuhan, China
  • Majored in Accounting, Bachelor’s degree

Research

My research interests include graph learning, Fintech, multimodal LLM.

Publications

• 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, (659):120081.[Paper]

• 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, 61(8): 1957-1967. [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, 9(35):9054-9066. [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, 8(35)8559-8571. [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, (155):340-347. [Paper]

Working Paper

• Shaopeng Wei, Beni Egressy, Xingyan Chen, Yu Zhao, Fuzhen Zhuang, Roger Wattenhofer, Gang Kou

  Graph Dimension Attention Networks for Enterprise Credit Assessment. [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. [Paper]

• Xiaozhong Lyu, Samantha Biegel, Shaopeng Wei, Stefan Grafberger, Sebastian Schelter, Ce Zhang

  Improving Retrieval-Augmented Large Language Models via Data Importance Learning. [Paper]

Program

• 主持. 基于深度学习的企业多源异构风险动态传导研究. 中央高校基本科研业务费博士研究生课题-一般项目 (JBK2207004).
• 主持. 面向可解释的复杂金融风险识别图学习计算加速平台研究. 中央高校基本科研业务费博士研究生课题-重点项目 (JBK2307022).

Contact

Email: shaopeng.wei@gxu.edu.cn