魏少朋 Shaopeng Wei

About Me

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

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

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

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]

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]