Yilin Chen

• Explainable AI algorithm • Development and implementation of algorithms for structural equivalence analysis, integrating data-processing pipelines to enable efficient feature analysis and visualization • Conception and evaluation of new approaches to feature importance analysis with decision trees compared to SHAP and LIME

• Participated in collecting and annotating multimodal autonomous driving sensor data, including high-resolution cameras, radar, and LiDAR • Designed and implemented workflows for data preprocessing, including noise reduction and format standardization, to ensure the usability of collected datasets • Evaluated sensor performance and dataset quality under varying environmental conditions (e.g., rain, fog, low-light scenarios)

Thesis: Uncertainty Quantification in Deep Learning-based Deformable Medical Image Registration / Current Grade: 1.4

Thesis: Research on Modeling and Simulation of Road Environmental Perception of Autonomous Driving / Grade: 1.4