Xueliang Li (李雪亮)

Bio:  Xueliang Li is currently an assistant professor of Shenzhen University. In 2013, he graduated from the Institute of Computing Technology, Chinese Academy of Sciences with a master's degree. In 2017, he graduated from Roskilde University, Denmark, with a doctorate. His main research directions are computer architecture, sustainable computing, human-computer interaction, source code analysis and optimization, etc. In 2022,  his outstanding contribution in the field of sustainable computing was selected as a finalist for the Falling Walls Science and Technology breakthroughs. He participated in several important EU low-energy computing research projects, including ENTRA-Whole-Systems Energy Transparency. He is now conducting a project of the National Natural Science Foundation of China (NSFC), the research topic is "Research on Source Code Optimization for Mobile Terminals with Low Power Consumption Priority", and is participating in several general projects of NSFC. Relevant research results have been published in top international conferences such as MICRO and HPCA, as well as top international journals such as TOSEM.

Research Interests: Artificial Intelligence, Artificial Empathy, Sociatal Computing, Sustainable Computing

Recruitment: I am looking for strongly self-motivated PhD and master students. Please send CVs to my email.

Honors

A finalist for the Falling Walls Science Breakthroughs of the Year 2022 in Engineering and Technology. 

Publications: Google scholar

Projects

As Principle Investigator:  

National Natural Science Foundation of China，61902249，Research on Source-level Energy Optimization for Mobile devices，2020.01-2022.12

As participant:

EU 7th Framework Programme, Coordination and Support Action ICT-Energy, 2011.02-2016.02

EU 7th Framework Programme, ENTRA–Whole-Systems Energy Transparency, 2013.02-2017.02

National Natural Science Foundation of China, Community context calculation based on multi-dimensional deep-level perception information, 2020.01-2024.12

National Natural Science Foundation of China, Research on Multi-Dimensional Wireless Resource Allocation and Mobile Management of the Internet of Things-oriented UAV Wireless Power Communication System, 2020.01 - 2024.12

Presentations of selected works