Mengying Lei
Ph.D. candidate
Google Scholar
Mengying Lei is a second year PhD student working on traffic data analysis at McGill University, supervised by Prof. Lijun Sun and Prof. Aurelie Labbe. She received her M.S. degree in pattern recognition from Beihang University, focusing on dynamic Granger causality detection and EEG decoding methods during there.
Research Interests
- Matrix/tensor low-rank modelling
- Gaussian process
- Spatial-temporal data imputation and prediction
Selected Publications
- Li Y, Zhang X R, Zhang B, et al. A channel-projection mixed-scale convolutional neural network for motor imagery EEG decoding[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019, 27(6): 1170-1180.