About Me

I’m a 4th-year Ph.D. student in the Department of Computer Science at the New Jersey Institute of Technology (NJIT), advised by Prof. Zhi Wei and Prof. Dantong Yu. My research centers on large language models (LLMs), foundation models, graph-based learning, and time-series analysis, with applications in financial forecasting, biomedical modeling, and scientific discovery. I am particularly interested in building scalable, interpretable AI systems that perform reliably in high-stakes, real-world scenarios.

Prior to NJIT, I earned my M.Sc. in Business Intelligence & Analytics from Stevens Institute of Technology and received dual bachelor’s degrees in Electrical Engineering and Finance from Shanghai Normal University and East China University of Science and Technology.

Publications

ICAIF

The Network of Mutual Funds: A Dynamic Heterogeneous Graph Neural Network for Estimating Mutual Funds Performance

Siqi Jiang, Ajim Uddin, Zhi Wei, Dantong Yu.

The 4th ACM International Conference on AI in Finance (ICAIF), 2023.

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BIB

MultiSC: A Deep Learning Pipeline for Analyzing Multiomics Single Cell Data

Xiang Lin^*, Siqi Jiang^*, Le Gao^*, Zhi Wei, Junwen Wang.

Briefings in Bioinformatics (BIB), 2024.

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Educations

• 2021.09 - Present, New Jersey Institute of Technology, Ph.D. in Computer Science
• 2019.09 - 2021.06, Stevens Institute of Technology, M.Sc. in Business Intelligence & Analytics
• 2015.09 - 2019.06, Shanghai Normal University, B.Eng. in Electric Engineering & Automation

Service

• Conference reviewing: IEEE International Conference on Big Data, ACM International Conference on AI in Finance, IEEE International Conference on Systems, Man, and Cybernetics, Wireless and Optical Communications Conference
• Journal reviewing: Briefings in Bioinformatics, IEEE Internet of Things Journal