ICAIHE 2026

Research conducted by Yifan XU and colleagues from the Meng Laboratory received the Best Student Paper Award at the 2026 International Conference on Artificial Intelligence for Health and Education (ICAIHE 2026), held at Waseda University in Tokyo from July 8 to 10, 2026.

The award-winning paper proposes a method using quantum-inspired evolutionary computation for feature optimization in breast cancer detection.

Award-Winning Paper

Paper Title: Quantum Evolutionary Algorithm-Based Feature Optimization for Breast Cancer Detection Based on Quantum-Inspired Evolutionary Algorithms Authors: Y. XU, M. WANG, Z. ZHOU, and L. MENG Conference: 2026 International Conference on Artificial Intelligence for Health and Education (ICAIHE 2026), July 8–10, 2026, Tokyo, Japan.