Prof. Ying Bi

Zhengzhou University, China

Biography

Ying Bi, Professor at Zhengzhou University, is a recipient of the National Young Talent Program, a Class C High-Level Talent of Henan Province, and a Senior Member of IEEE. Her primary research focuses on evolutionary computation, machine learning, and computer vision. She has led three national-level projects. She has authored one English monograph as the first author and published over 90 SCI/EI-indexed papers in leading international journals and conferences. She was awarded the IEEE Computational Intelligence Society (CIS) Outstanding PhD Dissertation Award. She services as associated editors for eight journals, including IEEE TEVC, IEEE TAI, IEEE TASE, ASOC. She is the chair of IEEE CIS Women in Computational Intelligence Committee, and the Chair of the IEEE CIS Task Force on Evolutionary Computer Vision and Image Processing. She is the program chair for IVCNZ 2025, panel chair for CEC 2026, LBA chair for GECCO 2026, etc.

Title: Genetic Programming: An Interpretable Approach to Image Classification

Abstract: Genetic Programming (GP), a branch of evolutionary computation, offers a unique paradigm for automated model generation by evolving interpretable mathematical expressions, decision trees, or program code. Unlike conventional "black-box" machine learning methods, GP produces human-readable models, enhancing transparency in AI-driven decision-making. This talk will explore GP's potential in image classification, discussing its current advances and the future research directions.