Guoqi Li
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About
I obtained my PhD from Nanyang Technological University, Singapore, in 2011. From 2011 to 2014, I worked as a Scientist at the Data Storage Institute and the Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore. From 2014 to 2022, I served as an Assistant Professor and later an Associate Professor at Tsinghua University, Beijing, China. Since 2022, I have been affiliated with the Institute of Automation, Chinese Academy of Sciences, and the University of Chinese Academy of Sciences, where I currently hold the position of Full Professor. My research focuses on Brain-inspired Intelligence, Neuromorphic Computing, and Spiking Neural Networks. I have authored or co-authored over 200 papers in prestigious journals such as Nature, Nature Communications, Science Robotics, Proceedings of the IEEE, as well as top AI conferences including ICLR, NeurIPS, ICML, AAAI, among others. My papers have been cited more than 9000 times according to Google Scholar.
I have actively contributed to various professional services, including serving as a Tutorial Chair, an International Technical Program Committee Member, a PC member, a Publication Chair, a Track Chair, and a workshop chair for several international conferences. I holds positions as an Editorial-Board Member for Control and Decision, and Associate Editor for IEEE Transactions on Neural Networks and Learning Systems, Neuromorphic Computing and Engineering, Frontiers in Neuroscience: Neuromorphic Engineering, and Journal of Control and Decision. Additionally, I have served as a Guest Editor for IEEE Transactions on Cognitive and Developmental Systems and Frontiers in Computational Neuroscience. I also act as a reviewer for Mathematical Reviews published by the American Mathematical Society and serves as a PC member for several top AI conferences, including ICLR, NeurIPS, ICML, AAAI, among others. I was the recipient of the Second Class Prize for Technological Invention by the Chinese Ministry of Education in 2022, the First Class Prize in Science and Technology from the Chinese Institute of Command and Control in 2018, and the Top Ten Scientific Advances Award in China selected by the Ministry of Science and Technology, P.R. China, where I was recognized as a backbone team member. I also received the 2020 Second Prize of the Fujian Provincial Science and Technology Progress Award. I was honored with the Outstanding Young Talent Award from the Beijing Natural Science Foundation in 2021, and was selected to participate in the Hundred Talents Program of the Chinese Academy of Sciences in 2022. In 2023, I was awarded the National Science Foundation for Distinguished Young Scholars of China.
Research Areas
• Brain Inspired Computing/Intelligence
• Neuromorphic Engineering
• Spiking Neural Networks
• Network Compression
• AI Chips
I am seeking highly motivated Postdocs, Ph.D. students and Interns! Please contact me if you are interested in my research!