| Learning salient features for speech emotion recognition using convolutional neural networks Q Mao, M Dong, Z Huang, Y Zhan IEEE transactions on multimedia 16 (8), 2203-2213, 2014 | 695 | 2014 |
| Speech emotion recognition using CNN Z Huang, M Dong, Q Mao, Y Zhan Proceedings of the 22nd ACM international conference on Multimedia, 801-804, 2014 | 443 | 2014 |
| Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation J Chen, Q Mao, D Liu arXiv preprint arXiv:2007.13975, 2020 | 339 | 2020 |
| Joint pose and expression modeling for facial expression recognition F Zhang, T Zhang, Q Mao, C Xu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 303 | 2018 |
| A neural-AdaBoost based facial expression recognition system E Owusu, Y Zhan, QR Mao Expert Systems with Applications 41 (7), 3383-3390, 2014 | 190 | 2014 |
| Dual-inception network for cross-database micro-expression recognition L Zhou, Q Mao, L Xue 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 143 | 2019 |
| Geometry guided pose-invariant facial expression recognition F Zhang, T Zhang, Q Mao, C Xu IEEE Transactions on Image Processing 29, 4445-4460, 2020 | 130 | 2020 |
| Using Kinect for real-time emotion recognition via facial expressions Q Mao, X Pan, Y Zhan, X Shen Frontiers of Information Technology & Electronic Engineering 16 (4), 272-282, 2015 | 99 | 2015 |
| Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition L Zhou, Q Mao, X Huang, F Zhang, Z Zhang Pattern Recognition 122, 108275, 2022 | 92 | 2022 |
| Hierarchical Bayesian theme models for multipose facial expression recognition Q Mao, Q Rao, Y Yu, M Dong IEEE Transactions on Multimedia 19 (4), 861-873, 2016 | 79 | 2016 |
| A Local Mean Representation-based K-Nearest Neighbor Classifier J Gou, W Qiu, Z Yi, Y Xu, Q Mao, Y Zhan ACM Transactions on Intelligent Systems and Technology (TIST) 10 (3), 1-25, 2019 | 78 | 2019 |
| An SVM-AdaBoost facial expression recognition system E Owusu, Y Zhan, QR Mao Applied intelligence 40, 536-545, 2014 | 72 | 2014 |
| Unsupervised domain adaptation for speech emotion recognition using PCANet Z Huang, W Xue, Q Mao, Y Zhan Multimedia Tools and Applications 76, 6785-6799, 2017 | 69 | 2017 |
| Multi-pose facial expression recognition based on SURF boosting Q Rao, X Qu, Q Mao, Y Zhan 2015 international conference on affective computing and intelligent …, 2015 | 65 | 2015 |
| Learning emotion-discriminative and domain-invariant features for domain adaptation in speech emotion recognition Q Mao, G Xu, W Xue, J Gou, Y Zhan Speech Communication 93, 1-10, 2017 | 57 | 2017 |
| Convolutional relation network for facial expression recognition in the wild with few-shot learning Q Zhu, Q Mao, H Jia, OEN Noi, J Tu Expert Systems with Applications 189, 116046, 2022 | 56 | 2022 |
| Deep face clustering using residual graph convolutional network C Qi, J Zhang, H Jia, Q Mao, L Wang, H Song Knowledge-Based Systems 211, 106561, 2021 | 54 | 2021 |
| Discriminative globality and locality preserving graph embedding for dimensionality reduction J Gou, Y Yang, Z Yi, J Lv, Q Mao, Y Zhan Expert Systems with Applications 144, 113079, 2020 | 51 | 2020 |
| A survey of micro-expression recognition L Zhou, X Shao, Q Mao Image and Vision Computing 105, 104043, 2021 | 50 | 2021 |
| A unified deep model for joint facial expression recognition, face synthesis, and face alignment F Zhang, T Zhang, Q Mao, C Xu IEEE Transactions on Image Processing 29, 6574-6589, 2020 | 45 | 2020 |
