Zilin Bian
Orcid: 0000-0002-0677-5013
According to our database1,
Zilin Bian
authored at least 16 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling.
CoRR, 2024
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
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.
CoRR, 2024
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction.
CoRR, 2024
Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach.
CoRR, 2024
Highly Efficient No-reference 4K Video Quality Assessment with Full-Pixel Covering Sampling and Training Strategy.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
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
Learning When to See for Long-Term Traffic Data Collection on Power-Constrained Devices.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2021
No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network.
IEEE Trans. Image Process., 2021
Full-Reference Quality Assessment for Screen Content Images Based on the Concept of Global-Guidance and Local-Adjustment.
IEEE Trans. Broadcast., 2021
Staged-Learning: Assessing the Quality of Screen Content Images from Distortion Information.
IEEE Signal Process. Lett., 2021
2020
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19.
CoRR, 2020
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles.
CoRR, 2020
A Mixture Model-based Clustering Method for Fundamental Diagram Calibration Applied in Large Network Simulation.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020