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Yingjin JIANG(江英进)

MPhil Student at HKUST(GZ) · LLM Interpretability · Mechanistic Interpretability

Yingjin JIANG

I am a first-year MPhil student at The Hong Kong University of Science and Technology (Guangzhou). My research focuses on mechanistic interpretability and LLM interpretability, aiming to uncover the internal mechanisms that enable complex reasoning in large language models. I am particularly interested in understanding how LLMs store knowledge and perform multi-step reasoning, with the goal of building more trustworthy and reliable AI systems.

Research Interests

Education & Background

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Hong Kong University of Science and Technology (Guangzhou)

Red Bird MPhil in Artificial Intelligence (2025-2027)

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South China University of Technology

B.Eng. in Computer Science and Technology (Innovation Class) (2021-2025)

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University of Macau

Exchange Program in Computer Science (2023)

  • GPA: 3.85/4.0

Awards & Honors