We are a research team mainly focus on the Evolutionary Computing, Deep Reinforcement Learning, Black Box Optimization and Meta Black Box Optimization. We belong to the Computational Intelligence Lab, School of Computer Science, South China University of Technology. (Our homepage)

We are an energetic team including undergraduate students, master students and phd students. The student leader in this team is Zeyuan Ma, a phd student at South China University of Technology. Students in GMC team are advised (in part advised) by Prof. Yue-Jiao Gong. This is a pure research-oriented technical team, aiming to develop the new generation of black-box-optimization concepts, algorithms, frameworks and benchmarks. The resulting research domain is commonly named as Meta-Black-Box-Optimization, which generally mitigates the labour-intensive development in traditional black-box optimization algorithms through meta-learning an update rule/algorithmic configuration at the meta level. We believe works done in this team would promote the study edge of both evolutionary computing and optimization.

You can reach out to ask questions or just chat about us!

We are available on E-mail: 1、scut.crazynicolas@gmail.com 2、wukongqwj@gmail.com

We warmly invite you to join our QQ group for further communication (Group Number: 952185139).

Prof. Yue-Jiao Gong

Zeyuan Ma (PhD, 22-26)

Hongshu Guo (PhD, 22-26)

Prof. Zhiguang Cao

Yining Ma

• MetaBox: The first benchmark platform expressly tailored for developing and evaluating MetaBBO-RL methods, which is accepted at NeurIPS 2023.
• psc4MetaBBO: A list of useful relevant papers and open source codes for MetaBBO.
• Symbol: The python implementation of our paper SYMBOL, which is accepted as a poster paper at ICLR 2024. This is a novel MetaBBO paragidm against the recent proposed ones, refer to the paper for detail.
• Coming soon