Education

• B.S. in Computer Science and Technology, Peking University, 2018 - 2022
• Ph.D in Computer Software and Theory , Peking University, 2022 - 2027(expected)

Research Interest

My research interest is in the field of Explainable Artificial Intelligence (XAI), which aims to develop machine learning and deep learning techniques that are transparent, interpretable, and explainable to humans. Specifically, I am interested in developing XAI techniques that can enhance human understanding, trust, and decision-making in complex AI systems.

Publications

ConLUX: Concept-Based Local Unified Explanations (preprint)

Accelerating Anchors via Specialization and Feature Transformation (preprint)

ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques