During January 2026, Ma delivered a targeted bug fix in the opencv/opencv repository, focusing on the TopK operator within the context of computer vision and deep learning workflows. By updating the C++ implementation, Ma ensured that the TopK layer now correctly allows K values equal to the input dimension size, aligning with the ONNX specification. This change resolved a runtime error that previously prevented YOLOv10 ONNX models from loading, thereby improving model import reliability and reducing debugging time for users. The work demonstrated a precise understanding of ONNX model interoperability and addressed a nuanced boundary condition in production pipelines.