Publications

Papers

A Survey of Semantic Matching (In Progress, under Prof Kai Han's supervision)

We provide a comprehensive survey of semantic matching methods, categorizing them based on their general designs and summarizing their key contributions.

We conduct extensive experiments to evaluate the performance of existing methods across various benchmarks, providing insights into their strengths and weaknesses.

We propose a simple yet effective baseline that achieves state-of-the-art accuracy on multiple benchmarks, offering a strong foundation for future research in this field.

A Vehicle Classification Method Based on Deep Learning and Data Augmentation.

Zhang K, Feng, X. ICOMV 2023 (EI)

A Vehicle Classification Method Based on Improved ResNet.

Zhang K, Feng, X. HPCCE 2022 (EI)

Patents