Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns T Nie, G Qin, J Sun Transportation research part C: emerging technologies 141, 103737, 2022 | 27 | 2022 |
A response-type road anomaly detection and evaluation method for steady driving of automated vehicles C Liu, T Nie, Y Du, J Cao, D Wu, F Li IEEE Transactions on Intelligent Transportation Systems 23 (11), 21984-21995, 2022 | 12 | 2022 |
Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach T Nie, G Qin, Y Wang, J Sun Transportation research part C: emerging technologies 152, 104190, 2023 | 7 | 2023 |
Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs T Nie, G Qin, Y Wang, J Sun Transportation Research Part C: Emerging Technologies 157, 104402, 2023 | 5* | 2023 |
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation T Nie, G Qin, W Ma, Y Mei, J Sun arXiv preprint arXiv:2312.01728, 2023 | 1 | 2023 |
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale T Nie, G Qin, L Sun, W Ma, Y Mei, J Sun arXiv preprint arXiv:2307.01482, 2023 | 1* | 2023 |
Bayesian Fault Injection Safety Testing for Highly Automated Vehicles with Uncertainty Y Mei, T Nie, J Sun, Y Tian IEEE Transactions on Intelligent Vehicles, 2024 | | 2024 |
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner T Nie, G Qin, W Ma, J Sun arXiv preprint arXiv:2405.03185, 2024 | | 2024 |