Contact Chen Li
- Email: c.li.21@cranfield.ac.uk
- ORCID
Background
Chen Li obtained BSc Internet of Things degrees from BUPT and Queen Mary University of London, MSc Computer Science from University of Warwick, and now a Ph.D. Aerospace student at Cranfield University, major in Explainable AI, Green AI, and Drone communications.
Current activities
Now Chen is doing research in Explainable AI (XAI) and Green AI under the scenario/environment of Unmanned Aerial Vehicle (UAV) communications; and the trust of AI in 6G environment.
Publications
Articles In Journals
- Li C, Tsourdos A & Guo W (2022) A transistor operations model for deep learning energy consumption scaling law, IEEE Transactions on Artificial Intelligence, Available online 14 December 2022.
- Li C, Guo W, Sun SC, Al-Rubaye S & Tsourdos A (2020) Trustworthy deep learning in 6G-enabled mass autonomy: from concept to quality-of-trust key performance indicators, IEEE Vehicular Technology Magazine, 15 (4) 112-121.
Conference Papers
- Li C, Sun SC, Al-Rubaye S, Tsourdous A & Guo W (2020) Uncertainty propagation in neural network enabled multi-channel optimisation. In: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, 25-28 May 2020.
- Sun SC, Li C, Wei Z, Tsourdos A & Guo W Scalable partial explainability in neural networks via flexible activation functions. In: 35th AAAI Conference on Artificial Intelligence, Online, 2-9 February 2021.
