Yan Zhang

Yan Zhang is a Professor at the University of Texas at Austin's School of Information, specializing in information systems and consumer health informatics. His research focuses on user perceptions of web-based information retrieval systems and the design of consumer health information systems. He teaches courses such as Information Architecture and Design, Survey of Information Studies, and Consumer Health Informatics.

His work spans cutting-edge topics in artificial intelligence, including vision-language models, 3D reconstruction, and large language model optimization. Recent research includes advancements in dataset distillation, diffusion models, and neural rendering techniques like Gaussian splatting. He actively explores applications in healthcare, such as AI-driven echocardiography interpretation and medical privacy in generative models.

Publications highlight contributions to model efficiency (e.g., sparse transfer learning, rank-aware pruning) and multimodal systems (e.g., fusion of biometric data for person recognition). His work often addresses practical challenges in deploying AI systems across domains like autonomous driving, robotics, and clinical decision support.

Zhang's research is supported by collaborations involving advanced visualization techniques, long-tailed disease classification, and multimodal SLAM systems. His courses reflect a commitment to bridging theory and practice in information science education.