His doctoral research focused on developing advanced deep learning models, specifically self-attention mechanisms, for Person Re-Identification tasks. He has a strong publication record, with a first-author paper in a Q2 journal and another under review in a high-impact IEEE journal. With a solid foundation that includes a Master's degree from another well-regarded Chinese university, he possesses hands-on skills in popular deep learning frameworks like PyTorch and programming languages such as Python and C++. His experience includes a software development internship at a major IT company and four years of experience as a teaching assistant. He is an active contributor to the academic community, holding memberships in IEEE and serving as a peer reviewer. Fluent in English and possessing intermediate Chinese language skills (HSK-4), he is a dedicated early-career researcher seeking to apply his expertise in machine learning to solve real-world problems.