Dr Song Liu
BEng (Suzhou University), MSc (Bristol), Doctor of Engineering (Tokyo Tech)
Current positions
Associate Professor in Data Sciences and A.I.
School of Mathematics
Contact
Press and media
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Biography
I do not update my publications here. Please see my publications on my website:
http://allmodelsarewrong.net
http://allmodelsarewrong.net
Projects and supervisions
Research projects
Using Machine Learning to Correct Probe Skew in High-frequency Electrical Loss Measurements
Principal Investigator
Role
Co-Investigator
Managing organisational unit
School of Electrical, Electronic and Mechanical EngineeringDates
20/11/2023 to 31/05/2024
Joint workshop Between JGI and ISM: High Dimensional and Bayesian Inference toward Quantifying Real-World Uncertainties
Principal Investigator
Description
This is the joint workshop between Jean Golding Institute (JGI) and the Institute of Statistical Mathematics (ISM) on High dimensional and Bayesian statistics. This workshop is the first of a…Managing organisational unit
Department of Computer ScienceDates
28/05/2019 to 31/05/2019
Publications
Recent publications
20/11/2024MagLearn – Data-driven Machine Learning Framework with Transfer and Few-shot Training for Modeling Magnetic Core Loss
2024 26th European Conference on Power Electronics and Applications (EPE'24 ECCE Europe)
MagNet Challenge for Data-Driven Power Magnetics Modeling
IEEE Open Journal of Power Electronics
Density Ratio Estimation and Neyman Pearson Classification with Missing Data
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics
Fisher Efficient Inference of Intractable Models
Advances in Neural Information Processing Systems 32 (NIPS 2019)
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin
Proceedings of the 36th International Conference on Machine Learning