Guanghao Zhu is an accomplished researcher with a strong academic foundation in deep learning. He is currently focused on enhancing the reasoning capabilities of multimodal large language models (MLLMs) and medical large language models (Med-LLMs). His notable research achievements include the successful execution of high-impact projects such as semi-supervised medical image segmentation and micro-expression detection and recognition. These endeavors showcase his advanced programming expertise, exceptional analytical skills, and innovative problem-solving abilities. Zhu's dedication to pushing the boundaries of AI-driven solutions in medical and multimodal applications underscores his commitment to impactful research, positioning him as a valuable contributor in the field of artificial intelligence.