👤 Personal Information

• Class of 2022, Master candidate in Electronic Information, Document Analysis and Pattern Recognition Laboratory, School of Information Science and Technology, Shihezi University; 2025‑entry PhD candidate, School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
• Document Analysis and Pattern Recognition Laboratory, School of Information Science and Technology, Shihezi University

🔬 Research Interests

• Pattern Recognition & Offline Handwritten Signature Feature Learning

Aiming at the difficulty of capturing subtle differences between genuine signatures and skilled forgeries in offline handwritten signatures, this work designs a canonical‑correlation‑analysis‑based siamese network for offline signature feature learning, as well as a hybrid Transformer‑CNN feature extraction network.

Keywords: pattern recognition, offline handwritten signature, siamese network, Transformer, convolutional neural network

• Federated Learning, Attack and Defense for Medical Imaging

Study effective defense strategies and hard‑to‑mitigate attack approaches against server‑side model aggregation attacks on federated learning clients.

Keywords: federated learning, medical imaging, model attack, defense

• Reinforcement Learning, Graph Neural Networks

Address core issues such as catastrophic forgetting in the client training phase of federated learning.

Keywords: reinforcement learning, graph neural network, federated learning, catastrophic forgetting

🏆 Honors & Awards

‑ Outstanding Graduate of Shihezi University ‑ National Postgraduate Scholarship ‑ Second Prize, Xinjiang Provincial Contest of Lanqiao Cup ‑ Second Prize, Anhui Provincial Contest, 12th National Computer Design Competition ‑ Second Prize, East China Division, 8th Discovery Cup Software Design Competition ‑ Third Prize, Anhui Provincial Contest, 13th National Computer Design Competition ‑ Excellent Communist Party Member of Shihezi University, 2024 ‑ National Encouragement Scholarship for Undergraduates, 2020 ‑ National Encouragement Scholarship for Undergraduates, 2018

📄 Academic Outputs

‑ Attended VALSE Workshop on Vision and Learning Young Scholars, Chongqing, 2024 ‑ L. Zheng, D. Wu, M. Zhang, Y. Zheng. SLFRM: A Novel Signature Local Feature Reconstruction Module for Offline Signature Verification[C]. International Conference on Computing and Pattern Recognition, 2024. (EI)