| Light field spatial super-resolution using deep efficient spatial-angular separable convolution HWF Yeung, J Hou, X Chen, J Chen, Z Chen, YY Chung IEEE Transactions on Image Processing 28 (5), 2319-2330, 2018 | 167 | 2018 |
| Fast light field reconstruction with deep coarse-to-fine modeling of spatial-angular clues HWF Yeung, J Hou, J Chen, YY Chung, X Chen Proceedings of the European Conference on Computer Vision (ECCV), 137-152, 2018 | 149 | 2018 |
| A hybrid gravitational search algorithm with swarm intelligence and deep convolutional feature for object tracking optimization K Kang, C Bae, HWF Yeung, YY Chung Applied Soft Computing 66, 319-329, 2018 | 46 | 2018 |
| Improved performance of face recognition using CNN with constrained triplet loss layer HWF Yeung, J Li, YY Chung 2017 International Joint Conference on Neural Networks (IJCNN), 1948-1955, 2017 | 29 | 2017 |
| Effects of vacuum annealing on the transport property of La Sr MnO films JR Sun, HW Yeung, HK Wong, T Zhu, BG Shen The European Physical Journal B-Condensed Matter and Complex Systems 35 (4 …, 2003 | 28 | 2003 |
| Oxygen content dependence of the transport property of film JR Sun, HW Yeung, H Li, K Zhao, HN Chan, HK Wong Journal of Applied Physics 90 (6), 2831-2835, 2001 | 22 | 2001 |
| Improved image classification with 4D light-field and interleaved convolutional neural network Z Lu, HWF Yeung, Q Qu, YY Chung, X Chen, Z Chen Multimedia Tools and Applications 78, 29211-29227, 2019 | 17 | 2019 |
| Deep-learning-based solution for data deficient satellite image segmentation HWF Yeung, M Zhou, YY Chung, G Moule, W Thompson, W Ouyang, ... Expert Systems with Applications 191, 116210, 2022 | 16 | 2022 |
| Efficient light field reconstruction via spatio-angular dense network Z Hu, HWF Yeung, X Chen, YY Chung, H Li IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2021 | 15 | 2021 |
| Texture-enhanced light field super-resolution with spatio-angular decomposition kernels Z Hu, X Chen, HWF Yeung, YY Chung, Z Chen IEEE Transactions on Instrumentation and Measurement 71, 1-16, 2022 | 12 | 2022 |
| Unifying temporal context and multi-feature with update-pacing framework for visual tracking Y Gao, Z Hu, HWF Yeung, YY Chung, X Tian, L Lin IEEE Transactions on Circuits and Systems for Video Technology 30 (4), 1078-1091, 2019 | 11 | 2019 |
| Hybrid gravitational search algorithm with swarm intelligence for object tracking HWF Yeung, G Liu, YY Chung, E Liu, WC Yeh Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 8 | 2016 |
| Towards understanding chinese checkers with heuristics, monte carlo tree search, and deep reinforcement learning Z Liu, M Zhou, W Cao, Q Qu, HWF Yeung, VYY Chung arXiv preprint arXiv:1903.01747, 2019 | 5 | 2019 |
| Using hidden markov model to predict human actions with swarm intelligence Z Lu, YY Chung, HWF Yeung, SM Zandavi, W Zhi, WC Yeh Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 5 | 2017 |
| Layer removal for transfer learning with deep convolutional neural networks W Zhi, Z Chen, HWF Yueng, Z Lu, SM Zandavi, YY Chung Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 4 | 2017 |
| Efficient Deep Neural Network Designs for High Dimensional and Large Volume Image Processing HWF Yeung University of Sydney, 2020 | | 2020 |
| Object Tracking with Deep Learning and Swarm Intelligence HWF Yeung | | 2017 |
| A Novel Stacked Denoising Autoencoder with Swarm Intelligence Optimization for Stock Index Prediction VYY Chung, J Li, G Liu, H Yeung, J Yin, X Chen IEEE Xplore, 2017 | | 2017 |
| Multi-swarm Particle Grid Optimization for Object Tracking F Sha, HWF Yeung, YY Chung, G Liu, WC Yeh Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | | 2016 |
