| Using transfer learning with convolutional neural networks to diagnose breast cancer from histopathological images W Zhi, HWF Yeung, Z Chen, SM Zandavi, Z Lu, YY Chung International Conference on Neural Information Processing, 669-676, 2017 | 65 | 2017 |
| Using convolutional neural networks and transfer learning for bone age classification J Zhou, Z Li, W Zhi, B Liang, D Moses, L Dawes 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 48 | 2017 |
| Spatiotemporal learning of directional uncertainty in urban environments with kernel recurrent mixture density networks W Zhi, R Senanayake, L Ott, F Ramos IEEE Robotics and Automation Letters 4 (4), 4306-4313, 2019 | 26 | 2019 |
| Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps W Zhi, L Ott, R Senanayake, F Ramos IEEE International Conference on Robotics and Automation (ICRA), 2019 | 23 | 2019 |
| Parallelised diffeomorphic sampling-based motion planning T Lai, W Zhi, T Hermans, F Ramos Conference on Robot Learning, 81-90, 2022 | 15 | 2022 |
| Learning efficient and robust ordinary differential equations via invertible neural networks W Zhi, T Lai, L Ott, EV Bonilla, F Ramos International Conference on Machine Learning, 27060-27074, 2022 | 13* | 2022 |
| Trajectory Generation in New Environments from Past Experiences W Zhi, T Lai, L Ott, F Ramos 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 10* | 2021 |
| Kernel trajectory maps for multi-modal probabilistic motion prediction W Zhi, L Ott, F Ramos Conference on Robot Learning, 1405-1414, 2020 | 10 | 2020 |
| Diffeomorphic Transforms for Generalised Imitation Learning. W Zhi, T Lai, L Ott, F Ramos L4DC, 508-519, 2022 | 9 | 2022 |
| Anticipatory navigation in crowds by probabilistic prediction of pedestrian future movements W Zhi, T Lai, L Ott, F Ramos 2021 IEEE International Conference on Robotics and Automation (ICRA), 8459-8464, 2021 | 6 | 2021 |
| Occ-traj120: Occupancy maps with associated trajectories T Lai, W Zhi, F Ramos arXiv preprint arXiv:1909.02333, 2019 | 6 | 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 |
| Global and reactive motion generation with geometric fabric command sequences W Zhi, I Akinola, K Van Wyk, ND Ratliff, F Ramos 2023 IEEE International Conference on Robotics and Automation (ICRA), 939-945, 2023 | 4 | 2023 |
| 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 |
| A novel ant colony detection using multi-region histogram for object tracking SM Zandavi, F Sha, V Chung, Z Lu, W Zhi Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 4 | 2017 |
| Instructing Robots by Sketching: Learning from demonstration via probabilistic diagrammatic teaching W Zhi, T Zhang, M Johnson-Roberson IEEE International Conference on Robotics and Automation (ICRA) 2024, 2024 | 3* | 2024 |
| L4KDE: Learning for KinoDynamic Tree Expansion T Lai, W Zhi, T Hermans, F Ramos arXiv preprint arXiv:2203.00975, 2022 | 2 | 2022 |
| Probabilistic trajectory prediction with structural constraints W Zhi, L Ott, F Ramos 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 2 | 2021 |
| Learning Orbitally Stable Systems for Diagrammatic Teaching W Zhi, K Liu, T Zhang, M Johnson-Roberson CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP), 2023 | 1 | 2023 |
| Piecewise Linear Offers in the New Zealand Electricity Market W Zhi, K Abbaszadeh, G Zakeri, G Pritchard Operations Research Society of New Zealand, 2017 | 1 | 2017 |
Fabio RamosUniversity of Sydney and NVIDIAVerified email at sydney.edu.au
