| Optical coherence tomography vulnerable plaque segmentation based on deep residual U-Net L Li, T Jia Reviews in cardiovascular medicine 20 (3), 171-177, 2019 | 19 | 2019 |
| MGC-GAN: Multi-graph convolutional generative adversarial networks for accurate citywide traffic flow prediction L Li, J Bi, K Yang, F Luo, L Yang 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 4 | 2022 |
| Stg-mamba: Spatial-temporal graph learning via selective state space model L Li, H Wang, W Zhang, A Coster arXiv preprint arXiv:2403.12418, 2024 | 3 | 2024 |
| Deep convolutional neural networks for cardiovascular vulnerable plaque detection L Li, T Jia, T Meng, Y Liu MATEC Web of Conferences 277, 02024, 2019 | 3 | 2019 |
| Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies L Li, W Shao, W Dong, Y Tian, K Yang, W Zhang arXiv preprint arXiv:2401.12888, 2024 | 2 | 2024 |
| Spatial-Temporal Semantic Generative Adversarial Networks for Flexible Multi-step Urban Flow Prediction L Li, J Bi, K Yang, F Luo International Conference on Artificial Neural Networks, 763-775, 2022 | 2 | 2022 |
| STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting L Li, K Yang, J Bi, F Luo ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Di-Graphgan: An Enhanced Adversarial Learning Framework for Accurate Spatial-Temporal Traffic Forecasting Under Data Missing Scenarios L Li, J Bi, K Yang, F Luo Available at SSRN 4596130, 0 | | |
kaixiang yangSouth China University of Technology在 scut.edu.cn 的电子邮件经过验证
