Current research interests include: causal inference with LLMs, AI for healthcare, and fintech.
- 2020-2024 Southwestern University of Finance and Economics (SWUFE), Chengdu, China
- 2015-2018 China University of Petroleum (CUP), Beijing, China
- Master student, Majoring in Oil-Gas Field Development Engineering
My research interest is causal inference, LLM, and graph learning.
- Huaming Du, Shi Long, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou. Representation Learning of Temporal Graphs with Structural Roles, KDD, 2024, [paper].
- Xingyan Chen, Huaming Du, Mu Wang, Yu Zhao, Xiaoyang Shu, Changqiao Xu, Gabriel-Miro Muntean. A Novel Adaptive 360° Livestreaming with Graph Representation Learning based FoV Prediction, TETC, 2024, [paper]
- Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou. Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks, TKDE, 2022, [paper]
- Huaming Du, Zhilong Xie, Jia Song, Yaoxing Yuan, Jiacan Li, Xingyan Chen, Huangen Chen, Yu Zhao, Fuzhen Zhuang, Qing Li. DKPE: Deep keyphrase expansion, Neurocomputing, 2023, [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, TKDE, 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]
- Leader. Research on corporate financial risk and its interpretability based on graph neural networks. Supported by the Fundamental Research Funds for the Central Universities (JBK2307016), RMB 10,000.
- Ranked second. Exploration of the reasoning capabilities of large models in the financial domain and the white-box presentation of the reasoning process. Supported by the 2024 CAAI-Ant Group Research Fund.