Jie Cai

I'm a first-year PhD student at the Melady Lab in the Thomas Lord Computer Science Department at the University of Southern California. I am fortunate to be advised by Professor Yan Liu. Previously, I earned my Master's Degree at Tsinghua University where I was advised by Professor Wenwu Zhu and Professor Xin Wang. I obtained my Bachelor degree from South China University of Technology in Mathematics and applied Mathematics.

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Research

I am deeply interested in the fields of multimodal learning, large language models (LLMs), interpretability, and graph learning.

Specifically, my research focuses on exploring how multimodal systems can effectively integrate diverse data sources, exploring the capabilities and limitations of LLMs in complex tasks, and developing Explainable Artificial Intelligence (XAI) methods that provide meaningful insights into their decision-making processes.

Additionally, I am fascinated by graph learning techniques and their applications in representing and analyzing structured data, particularly in scenarios that require a combination of multimodal inputs and interpretability.

Publications