| Learning multi-level deep representations for image emotion classification T Rao, X Li, M Xu Neural processing letters 51, 2043-2061, 2020 | 175 | 2020 |
| Multi-level region-based convolutional neural network for image emotion classification T Rao, X Li, H Zhang, M Xu Neurocomputing 333, 429-439, 2019 | 143 | 2019 |
| Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition. X Zhu, L Li, W Zhang, T Rao, M Xu, Q Huang, D Xu IJCAI, 3595-3601, 2017 | 125 | 2017 |
| Multi-scale blocks based image emotion classification using multiple instance learning T Rao, M Xu, H Liu, J Wang, I Burnett 2016 IEEE International Conference on Image Processing (ICIP), 634-638, 2016 | 71 | 2016 |
| Improving visual saliency computing with emotion intensity H Liu, M Xu, J Wang, T Rao, I Burnett IEEE transactions on neural networks and learning systems 27 (6), 1201-1213, 2016 | 28 | 2016 |
| Facial expression recognition with multiscale graph convolutional networks T Rao, J Li, X Wang, Y Sun, H Chen IEEE MultiMedia 28 (2), 11-19, 2021 | 24 | 2021 |
| Appearance features in Encoding Color Space for visual surveillance L Wu, M Xu, G Zhu, J Wang, T Rao Neurocomputing 308, 21-30, 2018 | 8 | 2018 |
| Estimate the densities of pollutions in water quality monitoring systems based on UV/vis spectrum T Rao, Q Ling, B Yu, H Ji The 26th Chinese Control and Decision Conference (2014 CCDC), 2984-2989, 2014 | 8 | 2014 |
| Generating affective maps for images T Rao, M Xu, H Liu Multimedia Tools and Applications 77, 17247-17267, 2018 | 4 | 2018 |
| Fused feature encoding in convolutional neural network L Huo, T Rao, L Zhang Multimedia Tools and Applications 78 (2), 1635-1648, 2019 | 2 | 2019 |
| 5G based Cloud-Edge Collaboration for Canteen Self-Service Settlement Solution T Rao, Y Sun, J Li, X Wang 2021 7th International Conference on Computer and Communications (ICCC), 922-926, 2021 | | 2021 |
| Image emotion recognition using region-based multi-level features T Rao | | 2019 |
