| Hierarchical deep reinforcement learning for continuous action control Z Yang, K Merrick, L Jin, HA Abbass IEEE transactions on neural networks and learning systems 29 (11), 5174-5184, 2018 | 158 | 2018 |
| Fully convolutional networks for continuous sign language recognition KL Cheng, Z Yang, Q Chen, YW Tai Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 114 | 2020 |
| Multi-Task Deep Reinforcement Learning for Continuous Action Control. Z Yang, KE Merrick, HA Abbass, L Jin IJCAI 17, 3301-3307, 2017 | 75 | 2017 |
| Sf-net: Structured feature network for continuous sign language recognition Z Yang, Z Shi, X Shen, YW Tai arXiv preprint arXiv:1908.01341, 2019 | 73 | 2019 |
| Dense and tight detection of Chinese characters in historical documents: Datasets and a recognition guided detector H Yang, L Jin, W Huang, Z Yang, S Lai, J Sun IEEE Access 6, 30174-30183, 2018 | 47 | 2018 |
| Robust shared feature learning for script and handwritten/machine-printed identification Z Feng, Z Yang, L Jin, S Huang, J Sun Pattern Recognition Letters 100, 6-13, 2017 | 18 | 2017 |
| Identifying machine-printed and handwritten texts using dropregion and deep convolutional network Z Yang, L Jin, Z Feng, J Sun, W Zhou 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 2 | 2017 |
| Cross domain lifelong sequential modeling for online click-through rate prediction R Hou, Z Yang, Y Ming, H Lu, Z Zheng, Y Chen, Q Zeng, M Chen arXiv preprint arXiv:2312.06424, 2023 | 1 | 2023 |
| Deep Reinforcement Learning for Continuous Action Control Z Yang UNSW Sydney, 2017 | | 2017 |
