معرفی
Xi Zhang is a Senior University Lecturer at the MT School of Management, New Jersey Institute of Technology (NJIT). His academic background includes a Ph.D. in Entrepreneurship and Strategy from NJIT (2022), an MBA from NJIT (2014), and a B.A. in Economics from Xiamen University (2012).
His research focuses on advanced machine learning techniques, particularly graph neural networks (GNNs), with applications in explainable AI, cybersecurity, and molecular modeling. Key areas include developing frameworks like GE-Chat for LLM response generation, RISE for 3D molecular graph explanations, and vulnerability detection systems at the commit level.
Dr. Zhang's recent work emphasizes interpretable machine learning, with contributions in proxy graph generation, Bayesian inference for GNN explanations, and neural approaches to code analysis (e.g., DeMinify for variable name recovery). His publications span both theoretical advancements and practical applications in AI and computer science.
No scientific awards or grants are explicitly listed in the provided information. No advising relationships or lab affiliations are noted in the text.
