Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning.
CoRR, 2024
Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management.
CoRR, 2024
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction.
CoRR, 2024
Relationship of body adipose tissue distribution with vitamin D and bone metabolism indices in patients with type 2 diabetes mellitus.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Discovering Causes of Traffic Congestion via Deep Transfer Clustering.
ACM Trans. Intell. Syst. Technol., October, 2023
A Functional Approach for Analyzing Time-Dependent Driver Response Behavior to Real-World Connected Vehicle Warnings.
IEEE Trans. Intell. Transp. Syst., March, 2023
Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Investigating Safety of Evasion Maneuver Choices by Human-Driven Vehicles in Response to High-Density Truck Platoons Near Freeway Diverging Areas.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Periodic Shift and Event-aware Spatio-Temporal Graph Convolutional Network for Traffic Congestion Prediction.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Developing an integrated platform to enable hardware-in-the-loop for synchronous VR, traffic simulation and sensor interactions.
Adv. Eng. Informatics, 2022
Learning to Discover Causes of Traffic Congestion with Limited Labeled Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Improving Stylized Image Captioning with Better Use of Transformer.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19.
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CoRR, 2020
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles.
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CoRR, 2020
An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19.
CoRR, 2020
A Novel Methodology of Time Dependent Mean Field Based Multilayer Unsupervised Anomaly Detection Using Traffic Surveillance Videos.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Public Concerns and Response Pattern toward Shared Mobility Security using Social Media Data.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019