| Deep learninig of EEG signals for emotion recognition Y Gao, HJ Lee, RM Mehmood 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-5, 2015 | 113 | 2015 |
| Real-time vehicle make and model recognition with the residual SqueezeNet architecture HJ Lee, I Ullah, W Wan, Y Gao, Z Fang Sensors 19 (5), 982, 2019 | 112 | 2019 |
| Human action monitoring for healthcare based on deep learning Y Gao, X Xiang, N Xiong, B Huang, HJ Lee, R Alrifai, X Jiang, Z Fang Ieee Access 6, 52277-52285, 2018 | 101 | 2018 |
| Coronary arteries segmentation based on 3D FCN with attention gate and level set function Y Shen, Z Fang, Y Gao, N Xiong, C Zhong, X Tang Ieee Access 7, 42826-42835, 2019 | 70 | 2019 |
| Local tiled deep networks for recognition of vehicle make and model Y Gao, HJ Lee Sensors 16 (2), 226, 2016 | 63 | 2016 |
| Dd-cyclegan: Unpaired image dehazing via double-discriminator cycle-consistent generative adversarial network J Zhao, J Zhang, Z Li, JN Hwang, Y Gao, Z Fang, X Jiang, B Huang Engineering Applications of Artificial Intelligence 82, 263-271, 2019 | 55 | 2019 |
| LFT-Net: Local feature transformer network for point clouds analysis Y Gao, X Liu, J Li, Z Fang, X Jiang, KMS Huq IEEE transactions on intelligent transportation systems 24 (2), 2158-2168, 2022 | 48 | 2022 |
| Depth estimation using a self-supervised network based on cross-layer feature fusion and the quadtree constraint F Tian, Y Gao, Z Fang, Y Fang, J Gu, H Fujita, JN Hwang IEEE transactions on circuits and systems for video technology 32 (4), 1751-1766, 2021 | 46 | 2021 |
| Single image snow removal via composition generative adversarial networks Z Li, J Zhang, Z Fang, B Huang, X Jiang, Y Gao, JN Hwang IEEE Access 7, 25016-25025, 2019 | 44 | 2019 |
| Vehicle make recognition based on convolutional neural network Y Gao, HJ Lee 2015 2nd International Conference on Information Science and Security (ICISS …, 2015 | 39 | 2015 |
| Transfer deep feature learning for face sketch recognition W Wan, Y Gao, HJ Lee Neural Computing and Applications 31, 9175-9184, 2019 | 38 | 2019 |
| Multi-modal 3D object detection by 2D-guided precision anchor proposal and multi-layer fusion Y Wu, X Jiang, Z Fang, Y Gao, H Fujita Applied Soft Computing 108, 107405, 2021 | 31 | 2021 |
| SAT-Net: a side attention network for retinal image segmentation H Tong, Z Fang, Z Wei, Q Cai, Y Gao Applied Intelligence 51, 5146-5156, 2021 | 29 | 2021 |
| Feature fusion network based on attention mechanism for 3D semantic segmentation of point clouds H Zhou, Z Fang, Y Gao, B Huang, C Zhong, R Shang Pattern Recognition Letters 133, 327-333, 2020 | 29 | 2020 |
| Action recognition based on the fusion of graph convolutional networks with high order features J Dong, Y Gao, HJ Lee, H Zhou, Y Yao, Z Fang, B Huang Applied Sciences 10 (4), 1482, 2020 | 25 | 2020 |
| Automatic coronary artery segmentation algorithm based on deep learning and digital image processing F Tian, Y Gao, Z Fang, J Gu Applied Intelligence 51 (12), 8881-8895, 2021 | 23 | 2021 |
| Depth estimation of video sequences with perceptual losses A Wang, Z Fang, Y Gao, X Jiang, S Ma Ieee Access 6, 30536-30546, 2018 | 23 | 2018 |
| Data fusion-based multi-object tracking for unconstrained visual sensor networks X Jiang, Z Fang, NN Xiong, Y Gao, B Huang, J Zhang, L Yu, P Harrington IEEE Access 6, 13716-13728, 2018 | 23 | 2018 |
| Cross-pose face recognition based on multiple virtual views and alignment error Y Gao, HJ Lee Pattern Recognition Letters 65, 170-176, 2015 | 20 | 2015 |
| Adversarial learning for joint optimization of depth and ego-motion A Wang, Z Fang, Y Gao, S Tan, S Wang, S Ma, JN Hwang IEEE Transactions on Image Processing 29, 4130-4142, 2020 | 19 | 2020 |
