In February 2025, Zhoulei focused on enhancing the robustness of the PaddlePaddle/Paddle2ONNX repository by addressing a reliability issue in the Conv2D Transpose operator. Zhoulei implemented logic in C++ to check for missing padding_algorithm and output_size attributes during ONNX conversion, assigning default values when necessary to ensure deterministic model export and translation. This approach reduced potential runtime errors in the model export pipeline and improved the reliability of Paddle2ONNX integrations. Zhoulei also expanded test coverage to validate the new defaulting logic, demonstrating depth in operator implementation and a careful approach to maintaining predictable behavior in production workflows.