| Randla-net: Efficient semantic segmentation of large-scale point clouds Q Hu, B Yang, L Xie, S Rosa, Y Guo, Z Wang, N Trigoni, A Markham Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 2043 | 2020 |
| Towards monocular vision based obstacle avoidance through deep reinforcement learning L Xie, S Wang, A Markham, N Trigoni arXiv preprint arXiv:1706.09829, 2017 | 234 | 2017 |
| Learning semantic segmentation of large-scale point clouds with random sampling Q Hu, B Yang, L Xie, S Rosa, Y Guo, Z Wang, N Trigoni, A Markham IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8338 …, 2021 | 207 | 2021 |
| Learning with training wheels: speeding up training with a simple controller for deep reinforcement learning L Xie, S Wang, S Rosa, A Markham, N Trigoni 2018 IEEE international conference on robotics and automation (ICRA), 6276-6283, 2018 | 105 | 2018 |
| Heart rate sensing with a robot mounted mmwave radar P Zhao, CX Lu, B Wang, C Chen, L Xie, M Wang, N Trigoni, A Markham 2020 IEEE International Conference on Robotics and Automation (ICRA), 2812-2818, 2020 | 84 | 2020 |
| Motiontransformer: Transferring neural inertial tracking between domains C Chen, Y Miao, CX Lu, L Xie, P Blunsom, A Markham, N Trigoni Proceedings of the AAAI conference on artificial intelligence 33 (01), 8009-8016, 2019 | 61 | 2019 |
| Simultaneous localization and mapping with power network electromagnetic field CX Lu, Y Li, P Zhao, C Chen, L Xie, H Wen, R Tan, N Trigoni Proceedings of the 24th annual international conference on mobile computing …, 2018 | 48 | 2018 |
| Learning with stochastic guidance for robot navigation L Xie, Y Miao, S Wang, P Blunsom, Z Wang, C Chen, A Markham, ... IEEE transactions on neural networks and learning systems 32 (1), 166-176, 2020 | 41 | 2020 |
| Introducing π-HelixNovo for practical large-scale de novo peptide sequencing T Yang, T Ling, B Sun, Z Liang, F Xu, X Huang, L Xie, Y He, L Li, F He, ... Briefings in Bioinformatics 25 (2), bbae021, 2024 | 23 | 2024 |
| DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis Y Liu, Y Yang, W Chen, F Shen, L Xie, Y Zhang, Y Zhai, F He, Y Zhu, ... Nature communications 14 (1), 8188, 2023 | 17 | 2023 |
| Snapnav: Learning mapless visual navigation with sparse directional guidance and visual reference L Xie, A Markham, N Trigoni 2020 IEEE International Conference on Robotics and Automation (ICRA), 1682-1688, 2020 | 15 | 2020 |
| GraphTinker: Outlier rejection and inlier injection for pose graph SLAM L Xie, S Wang, A Markham, N Trigoni 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 14 | 2017 |
| Defo-Net: Learning body deformation using generative adversarial networks Z Wang, S Rosa, L Xie, B Yang, S Wang, N Trigoni, A Markham 2018 IEEE International Conference on Robotics and Automation (ICRA), 2440-2447, 2018 | 10 | 2018 |
| A review of machine learning-based methods for predicting drug–target interactions W Shi, H Yang, L Xie, XX Yin, Y Zhang Health Information Science and Systems 12 (1), 30, 2024 | 7 | 2024 |
| π-HuB: the proteomic navigator of the human body F He, R Aebersold, MS Baker, X Bian, X Bo, DW Chan, C Chang, L Chen, ... Nature 636 (8042), 322-331, 2024 | 6 | 2024 |
| Reinforcement learning based mapless robot navigation L Xie University of Oxford, 2019 | 5 | 2019 |
| Automating exploratory proteomics research via language models N Ding, S Qu, L Xie, Y Li, Z Liu, K Zhang, Y Xiong, Y Zuo, Z Chen, E Hua, ... arXiv preprint arXiv:2411.03743, 2024 | 4 | 2024 |
| A review on predicting drug target interactions based on machine learning W Shi, D Peng, J Luo, G Chen, H Yang, L Xie, XX Yin, Y Zhang International conference on health information science, 283-295, 2023 | 4 | 2023 |
| Machine learning for time-to-event prediction and survival clustering: A review from statistics to deep neural networks J Luo, L Xie, H Yang, X Yin, Y Zhang BenchCouncil International Symposium on Intelligent Computers, Algorithms …, 2023 | 2 | 2023 |
| Transforming de novo peptide sequencing by explainable AI Y Wang, Z Liang, T Ling, C Chang, T Yang, L Xie, Y He | 1 | 2024 |
