Yingjin JIANG（江英进）
MPhil Student at HKUST(GZ) · LLM Interpretability · Mechanistic Interpretability
I am a first-year MPhil student at The Hong Kong University of Science and Technology (Guangzhou). I am currently working as a Research Intern in the PILLAR (PKU Interpretable Large Language model And Reasoning) Group at Peking University, led by Prof. Liangming Pan. 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
- Mechanistic Interpretability of Large Language Models
- LLM Reasoning Mechanisms and Knowledge Storage
- Trustworthy AI and Reliable Reasoning Systems
- Multi-step Reasoning and Complex Problem Solving
Education & Background
Hong Kong University of Science and Technology (Guangzhou)
Red Bird MPhil in Artificial Intelligence (2025-2027)
University of Macau
Exchange Program in Computer Science (2023)
- GPA: 3.85/4.0
Awards & Honors
- National Scholarship (2023)
- Tencent Scholarship (Grand Prize) (2023)
- HUAWEI Scholarship (2022)
- Outstanding Thesis Award (2025/06)
- Challenge Cup National 2nd Prize (2024/11)
- APMCM International 2nd Prize (2023/02)
- MCM Honorable Mention (2023/05)
Collaboration Focus
- Solve challenging problems at the intersection of AI research and systems engineering
- Work with world-class mentors who push the boundaries of what's possible
- Make real impact by developing technologies that benefit society
- Collaborate with brilliant minds in a fast-paced, innovative environment