Spatial-temporal position-aware graph convolution networks for traffic flow forecasting Y Zhao, Y Lin, H Wen, T Wei, X Jin, H Wan IEEE Transactions on Intelligent Transportation Systems 24 (8), 8650-8666, 2022 | 13 | 2022 |
Spatial–temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecasting X Jin, J Wang, S Guo, T Wei, Y Zhao, Y Lin, H Wan Expert Systems with Applications 238, 122143, 2024 | 1 | 2024 |
Uncertainty-Aware Denoising Network for Artifact Removal in EEG Signals X Jin, J Wang, L Liu, Y Lin IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 4470-4480, 2023 | 1 | 2023 |
Inductive and adaptive graph convolution networks equipped with constraint task for spatial–temporal traffic data kriging T Wei, Y Lin, S Guo, Y Lin, Y Zhao, X Jin, Z Wu, H Wan Knowledge-Based Systems 284, 111325, 2024 | | 2024 |
Time-Series Contrastive Learning against False Negatives and Class Imbalance X Jin, J Wang, L Liu, Y Lin arXiv preprint arXiv:2312.11939, 2023 | | 2023 |
Multi-view Consistency Contrastive Learning with Hard Positives for Sleep Signals J Deng, Y Lin, X Jin, X Ning, J Wang IEEE Signal Processing Letters, 2023 | | 2023 |