Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data.
CoRR, March, 2025
A Survey on Diffusion Models for Anomaly Detection.
CoRR, January, 2025
CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos.
IEEE Trans. Image Process., 2025
A Novel Analytical Method for Eliminating the Multiprobe Array and Environment Interference in Spherical Near-Field Measurement.
IEEE Trans. Instrum. Meas., 2025
Unlocking the Power of LSTM for Long Term Time Series Forecasting.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts.
CoRR, 2024
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks.
CoRR, 2024
TSI-Bench: Benchmarking Time Series Imputation.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks.
CoRR, 2024
SK-SVR-CNN: A Hybrid Approach for Traffic Flow Prediction with Signature PDE Kernel and Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Communications, 2024
"Less Knowledge is Less" - An Empirical Study of Intelligent Traffic Signal Network Efficiency Under Partial Information.
Proceedings of the 2024 IEEE Global Communications Conference, 2024
A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks.
Comput. Commun., September, 2023
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting.
CoRR, 2023
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks.
CoRR, 2023
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow Prediction.
Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems on International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2022
A Novel Time Efficient Machine Learning-based Traffic Flow Prediction Method for Large Scale Road Network.
Proceedings of the IEEE International Conference on Communications, 2022
SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems.
Proceedings of the IEEE Global Communications Conference, 2022