Chengcheng Xu

Chengcheng Xu is an active academic researcher focusing on computer science, mathematics, and environmental engineering domains. His recent publications highlight collaborative work with Jun Chen, Tianfeng Wang, Man Chen, and Zhisong Pan on advanced machine learning techniques applied to SAR image analysis and graph representation learning.

Key research areas include:

• Graph contrastive learning frameworks (GRAIL)
• Class-aware graph Siamese networks
• Gradient-prior guided semi-supervised segmentation
• Synthetic Aperture Radar (SAR) ship detection

His work appears in journals like IEEE Sensors Journal, Information Processing & Management, and Neurocomputing, emphasizing efficient annotation strategies and representation learning advancements.