Hong-Han Shuai is a distinguished academic specializing in deep learning, data mining, and multimedia processing. He earned his B.S. degree in Electrical Engineering from National Taiwan University (NTU) in 2007, followed by an M.S. in Computer Science in 2009, and a Ph.D. from NTU's Graduate Institute of Communication Engineering in 2015. Dr. Shuai's professional journey includes a visiting scholar at the University of Illinois at Chicago from 2013 to 2014. He then served as a postdoctoral fellow at the Research Center for Information Technology Innovation from 2015 to 2016. In 2016, he joined the Department of Electrical and Computer Engineering at National Chiao Tung University (now part of National Yang Ming Chiao Tung University) as an assistant professor. He was promoted to associate professor in 2020 and achieved the rank of full professor in 2024. As the head of the Big data Analytics and Social Intelligent Computing (BASIC) Laboratory, Dr. Shuai leads research in several cutting-edge areas: Generative Models: Focusing on Generative Adversarial Networks (GANs), denoising diffusion models, and text-guided image generation and editing. Large Language Models: Exploring model compression, text summarization, and enhancing model robustness. Dr. Shuai's scholarly contributions are extensive, with numerous publications in top-tier journals and conferences. His work has garnered over 2,600 citations, reflecting his significant impact on the fields of deep learning and data mining. Beyond his research, Dr. Shuai is dedicated to mentoring the next generation of engineers and researchers, fostering innovation and critical thinking in his students. His commitment to advancing technology and knowledge continues to influence and inspire the academic community.