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.
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.
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.
- 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.