Practical deep reinforcement learning approach for stock trading Z Xiong, XY Liu, S Zhong, H Yang, A Walid arXiv preprint arXiv:1811.07522, 1-7, 2018 | 186 | 2018 |
Practical deep reinforcement learning approach for stock trading XY Liu, Z Xiong, S Zhong, H Yang, A Walid arXiv preprint arXiv:1811.07522, 2018 | 46 | 2018 |
Target recognition of 3-d synthetic aperture radar images via deep belief network L Pu, X Zhang, S Wei, X Fan, Z Xiong 2016 CIE International Conference on Radar (RADAR), 1-5, 2016 | 9 | 2016 |
Practical deep reinforcement learning approach for stock trading. arXiv 2018 Z Xiong, XY Liu, S Zhong, H Yang, A Walid arXiv preprint arXiv:1811.07522, 0 | 9 | |
FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation Z Xiong, M Amein, O Therrien, WJ Gross, BH Meyer arXiv preprint arXiv:2303.16322, 2023 | 1 | 2023 |
Work-in-progress: Supernas: Fast multi-objective supernet architecture search for semantic segmentation M Amein, Z Xiong, O Therrien, BH Meyer, WJ Gross 2022 International Conference on Compilers, Architecture, and Synthesis for …, 2022 | 1 | 2022 |
Homogeneous graph neural networks for third-party library recommendation D Li, Y Gao, Z Wang, H Qiu, P Liu, Z Xiong, Z Zhang Information Processing & Management 61 (6), 103831, 2024 | | 2024 |
SSS3D: Fast Neural Architecture Search for Efcient Three-Dimensional Semantic Segmentation O Therrien McGill University (Canada), 2022 | | 2022 |