📖 Bio
As an MSc student at DTU majoring in Human-Centered Artificial Intelligence, I specialize in improving the explainability and fairness of machine learning models, with a particular focus on tabular data, supervised by Asst. Prof. Lei You. My research interests also extend to broader challenges in explainable AI (XAI) in computer vision and generative models, including model alignment and understanding. Through course projects and internships, I’ve gained hands-on experience with various state-of-the-art vision models—including variants of UNet, Vision Transformers (ViT), and Segment Anything Model (SAM), as well as exposure to different techniques in the Trustworthy AI, such as counterfactual explanations and feature attribution.
🔥 News
📖 Educations
📝 Publications
Lin Zhu, and Lei You. “xai-cola: A python library for sparsifying counterfactual explanations”, preprint.
Lin Zhu, Yijun Bian, and Lei You. “FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation”, preprint. [arXiv]