Organized by the IEEE Computational Intelligence Society Shenzhen Chapter.

Activity Aim & Talk

Algorithm Design (AD) is essential for effective problem-solving across various domains. The emergence of Large Language Models (LLMs) has significantly enhanced automation and innovation in this field, offering fresh perspectives and promising solutions. Over the past year, integrating LLMs into AD has made substantial progress, with applications in optimization, machine learning, mathematical reasoning, and scientific discovery. This talk will provide an overview of recent advancements in LLM-for-AD and showcase representative LLM-based automated AD methods. We will also demonstrate a platform designed to facilitate research in this area.

Meet the Speaker

Dr. Zhichao Lu is currently an Assistant Professor in Department of Computer Science at City University of Hong Kong. He received Ph.D degree in Electrical and Computer Engineering from Michigan State University in 2020. In the broad context of AI, the Dr. Lu’s research focuses on the intersections of evolutionary computation, learning, and optimization, notably on developing efficient and trustworthy ML/DL algorithms and systems, with the overarching goal of making AI accessible to everyone.