| Discriminative multiple canonical correlation analysis for information fusion L Gao, L Qi, E Chen, L Guan IEEE Transactions on Image Processing 27 (4), 1951-1965, 2017 | 100 | 2017 |
| A multi-stream graph convolutional networks-hidden conditional random field model for skeleton-based action recognition K Liu, L Gao, NM Khan, L Qi, L Guan IEEE Transactions on Multimedia 23, 64-76, 2020 | 55 | 2020 |
| The labeled multiple canonical correlation analysis for information fusion L Gao, R Zhang, L Qi, E Chen, L Guan IEEE Transactions on Multimedia 21 (2), 375-387, 2018 | 44 | 2018 |
| Management of latent tuberculosis infection in China: Exploring solutions suitable for high-burden countries X Cui, L Gao, B Cao International Journal of Infectious Diseases 92, S37-S40, 2020 | 42 | 2020 |
| A spatiotemporal heterogeneous two-stream network for action recognition E Chen, X Bai, L Gao, HC Tinega, Y Ding IEEE Access 7, 57267-57275, 2019 | 30 | 2019 |
| Discriminative multiple canonical correlation analysis for multi-feature information fusion L Gao, L Qi, E Chen, L Guan 2012 IEEE International Symposium on Multimedia, 36-43, 2012 | 30 | 2012 |
| Recognizing human emotional state based on the phase information of the two dimensional fractional Fourier transform L Gao, L Qi, E Chen, X Mu, L Guan Advances in Multimedia Information Processing-PCM 2010: 11th Pacific Rim …, 2010 | 24 | 2010 |
| Deep reinforcement learning with parameterized action space for object detection Z Wu, NM Khan, L Gao, L Guan 2018 IEEE International Symposium on Multimedia (ISM), 101-104, 2018 | 19 | 2018 |
| Recognizing human emotional state based on the 2D-FrFT and FLDA L Qi, E Chen, X Mu, L Guan, S Zhang, L Gao 2009 2nd International Congress on Image and Signal Processing, 1-4, 2009 | 17 | 2009 |
| Recognizing facial expressions based on gabor filter selection Z Zhang, X Mu, L Gao 2011 4th International Congress on Image and Signal Processing 3, 1544-1548, 2011 | 16 | 2011 |
| Integrating vertex and edge features with graph convolutional networks for skeleton-based action recognition K Liu, L Gao, NM Khan, L Qi, L Guan Neurocomputing 466, 190-201, 2021 | 14 | 2021 |
| The property of frequency shift in 2D-FRFT domain with application to image encryption L Gao, L Qi, L Guan IEEE Signal Processing Letters 28, 185-189, 2021 | 14 | 2021 |
| Rotation invariance in 2D-FRFT with application to digital image watermarking L Gao, L Qi, Y Wang, E Chen, S Yang, L Guan Journal of Signal Processing Systems 72, 133-148, 2013 | 14 | 2013 |
| Interpretability of machine learning: Recent advances and future prospects L Gao, L Guan IEEE MultiMedia 30 (4), 105-118, 2023 | 13 | 2023 |
| A discriminative vectorial framework for multi-modal feature representation L Gao, L Guan IEEE transactions on Multimedia 24, 1503-1514, 2021 | 13 | 2021 |
| Graph convolutional networks-hidden conditional random field model for skeleton-based action recognition K Liu, L Gao, NM Khan, L Qi, L Guan 2019 IEEE International Symposium on Multimedia (ISM), 25-256, 2019 | 11 | 2019 |
| A fisher discriminant framework based on Kernel Entropy Component Analysis for feature extraction and emotion recognition L Gao, L Qi, E Chen, L Guan 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2014 | 11 | 2014 |
| Statistical machine learning vs deep learning in information fusion: Competition or collaboration? L Guan, L Gao, NED Elmadany, C Liang 2018 IEEE Conference on Multimedia Information Processing and Retrieval …, 2018 | 10 | 2018 |
| Interpretable artificial intelligence through locality guided neural networks R Tan, L Gao, N Khan, L Guan Neural Networks 155, 58-73, 2022 | 9 | 2022 |
| Online behavioral analysis with application to emotion state identification L Gao, L Qi, L Guan IEEE Intelligent Systems 31 (5), 32-39, 2016 | 9 | 2016 |
Ling GuanProfessor of Electrical EngineeringBestätigte E-Mail-Adresse bei ryerson.ca
