| Damage classification of in-service steel railway bridges using a novel vibration-based convolutional neural network A Ghiasi, MK Moghaddam, CT Ng, AH Sheikh, JQ Shi Engineering Structures 264, 114474, 2022 | 39 | 2022 |
| Optimistic agent: Accurate graph-based value estimation for more successful visual navigation MK Moghaddam, Q Wu, E Abbasnejad, J Shi Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 19 | 2021 |
| Foresi: Success-aware visual navigation agent MK Moghaddam, E Abbasnejad, Q Wu, JQ Shi, A Van Den Hengel Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 10 | 2022 |
| Utilising Prior Knowledge for Visual Navigation: Distil and Adapt MMK Moghaddam, Q Wu, E Abbasnejad, J Shi CoRR, vol. abs/2004.03222, 2020 | 3 | 2020 |
| Learning for visual navigation by imagining the success MK Moghaddam, E Abbasnejad, Q Wu, J Shi, AVD Hengel arXiv preprint arXiv:2103.00446, 2021 | 2 | 2021 |
| Follow the attention: Combining partial pose and object motion for fine-grained action detection MMK Moghaddam, E Abbasnejad, J Shi arXiv preprint arXiv:1905.04430, 2019 | 2 | 2019 |
| Mastering the Craft of Data Synthesis for CodeLLMs M Chen, P Arthur, Q Feng, CDV Hoang, YH Hong, MK Moghaddam, ... arXiv preprint arXiv:2411.00005, 2024 | | 2024 |
| Towards Optimistic, Imaginative, and Harmonious Reinforcement Learning in Single-Agent and Multi-Agent Environments MM Kazemi Moghaddam | | 2022 |
| Damage Classification of In-Service Steel Railway Bridges Using a Novel Convolutional Neural Network A Ghiasi, MK Moghaddam, CT Ng, AH Sheikh, JQ Shi Available at SSRN 3985211, 0 | | |
Professor Javen Qinfeng ShiDirector for Causal AI Group, University of Adelaide在 adelaide.edu.au 的电子邮件经过验证
