Dr. Qi Lai is a researcher at the Shenzhen Institutes of Advanced Technology, China, specializing in weakly supervised learning, medical image analysis, and multi-instance learning. He has authored 11 peer-reviewed publications, receiving over 52 citations with an h-index of 5. His work spans deep learning for pathology, object detection, semantic segmentation, and medical image restoration, often in collaboration with international teams across leading institutions. Notable contributions include interactive and hybrid MIL frameworks and contrastive learning methods that enhance diagnostic precision. His research advances reliable AI-driven clinical decision support, contributing to improved healthcare technologies and societal well-being.