Fujie Yang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Fujie Yang is a leading figure in computational intelligence (CI) education, renowned for pioneering human-machine co-learning frameworks that bridge advanced AI with high-school pedagogy. Her landmark 2023 paper, "Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience," introduces a novel genetic assessment agent that dynamically adapts to student performance, enabling a symbiotic learning loop where both students and algorithms evolve together. This work, which has garnered 4 citations, represents a paradigm shift in how CI concepts are taught to young learners. Dr. Yang’s key contributions lie in designing interactive, assessment-driven curricula that demystify complex topics like evolutionary computation and neural networks for pre-university audiences. As an active member of the IEEE Computational Intelligence Society High School Outreach subcommittee (2021–2022), she has orchestrated global lectures and workshops, directly impacting hundreds of students. Her research not only advances educational technology but also cultivates the next generation of AI talent, making her a transformative force in STEM outreach and co-learning model innovation.
Research Focus
Key Achievements
Top Papers
- 1