| 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 | 53 | 2022 |
| ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation T Nie, G Qin, W Ma, Y Mei, J Sun KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge …, 2024 | 26* | 2024 |
| 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 | 22 | 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 | 20 | 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 | 12* | 2023 |
| Channel-Aware Low-Rank Adaptation in Time Series Forecasting T Nie, Y Mei, G Qin, J Sun, W Ma CIKM'24: 33rd ACM International Conference on Information and Knowledge …, 2024 | 6 | 2024 |
| Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale T Nie, G Qin, L Sun, W Ma, Y Mei, J Sun IEEE Transactions on Intelligent Transportation Systems 26 (1), 1241 - 1256, 2024 | 5* | 2024 |
| Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner T Nie, G Qin, W Ma, J Sun Transportation Research Part C: Emerging Technologies 169 (104890), 2024 | 5 | 2024 |
| Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning J He*, T Nie*, W Ma AAAI 2025, Accepted, 2025 | 4 | 2025 |
| 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 | 4 | 2024 |
| Collaborative imputation of urban time series through cross-city meta-learning T Nie, W Ma, J Sun, Y Yang, J Cao arXiv preprint arXiv:2501.11306, 2025 | 1 | 2025 |
| High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models Y Mei, T Nie, J Sun, Y Tian ITSC'24: 27th IEEE International Conference on Intelligent Transportation …, 2024 | 1 | 2024 |
| Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner T Nie, G Qin, W Ma, J Sun TRC'30: Conference in Emerging Technologies in Transportation Systems, 2024 | 1 | 2024 |
| LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models Y Mei, T Nie*, J Sun, Y Tian* arXiv preprint arXiv:2501.15850, 2025 | | 2025 |
| Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach T Nie, J He, Y Mei, G Qin, G Li, J Sun, W Ma arXiv preprint arXiv:2408.17258, 2024 | | 2024 |
Guoyang QinPostdoc, Tongji UniversityVerified email at tongji.edu.cn
