
How Evolution Generates Complexity, Diversity and Intelligence?
Let's Explore the Mysteries of Evolving Machine Intelligence

Latest News
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Two papers accepted by CVPR 2023
2023-03-03
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One paper accepted by IEEE TEVC
2023-02-07
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IEEE CEC’2023 Competition on Multiobjective Neural Architecture Search
2023-01-13
About EMI Group
We are actively recruiting Postdocs and RAs. If you are interested in joining us, please drop an email to: ranchengcn@gmail.com (Dr. Ran Cheng).
The Evolving Machine Intelligence (EMI) group was founded in September 2018, affiliated with Southern University of Science and Technology (SUSTech), China. Generally, our research motivations can be interpreted at three levels:
- Philosophically, we are motivated to study the evovability of intelligence;
- Scientifically, we are motivated to understand how evolution generates complexity, diversity and intelligence;
- Technically, we are motivated to design learning/optimization computing paradigm across areas between evolutionary computation and deep learning, reinforcement learning, operation research, etc.
Our cutting-eadge research outcomes provide full-stack solutions across hardware devices, algorithms, systems and applications.

Deep Neuroevolution

Evolutionary Optimization

Evolutionary Modeling
