About
Jia Liang is a researcher at Henan Polytechnic University's School of Electrical Engineering and Automation, with a focus on Machine Learning, Compressed Sensing, and Privacy-Preserving Techniques. His work bridges Computer Science and Signal Processing, particularly in Radar Imaging and Medical Image Analysis.
- Key Collaborations: Di Xiao, Ying Luo, Qun Zhang, Hui Huang
- Technical Expertise: Federated Learning, SAR Imaging, Compressive Sensing, Adversarial Learning
His research emphasizes secure data processing in IoT and cloud environments, with recent innovations in cross-disciplinary applications like biosignal analysis for cysticercosis diagnosis. Publications span top venues including IEEE Transactions on Aerospace Systems and Remote Sensing.
Notable trends include privacy-preserving machine learning for federated systems and 3D radar imaging of rotating targets, alongside medical imaging solutions for chest radiographs and optical coherence tomography.
