Hao (Frank) Yang
Orcid: 0000-0001-6431-8956Affiliations:
- University of Washington, Department of Civil and Environmental Engineering, Seattle, WA, USA
- Queen Mary University of London, School of Electronic Engineering & Computer Science, London, UK (PhD 2017)
- Beijing University of Posts and Telecommunications, International School, Beijing, China
According to our database1,
Hao (Frank) Yang
authored at least 26 papers
between 2016 and 2024.
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Bibliography
2024
Multi-lane's control performance differentiation on traffic efficiency under the lane-level dynamic coordination strategy.
J. Intell. Transp. Syst., July, 2024
IEEE Trans. Intell. Veh., April, 2024
Real-Time Multi-Task Environmental Perception System for Traffic Safety Empowered by Edge Artificial Intelligence.
IEEE Trans. Intell. Transp. Syst., January, 2024
Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses.
CoRR, 2024
CoRR, 2024
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study.
CoRR, 2024
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models.
CoRR, 2024
Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
Integrating the traffic science with representation learning for city-wide network congestion prediction.
Inf. Fusion, November, 2023
Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging.
IEEE Trans. Intell. Veh., April, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network.
IEEE Trans. Intell. Transp. Syst., 2022
Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification.
IEEE Trans. Intell. Transp. Syst., 2022
Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme.
IEEE Trans. Intell. Transp. Syst., 2022
Edge-Artificial Intelligence-Powered Parking Surveillance With Quantized Neural Networks.
IEEE Intell. Transp. Syst. Mag., 2022
Toward a real-time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning.
Int. J. Intell. Syst., 2022
Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting.
CoRR, 2022
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer.
CoRR, 2022
An Incremental Learning-based Framework for Non-stationary Traffic Representations Clustering and Forecasting.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2019
Multi-View Vehicle Re-Identification using Temporal Attention Model and Metadata Re-ranking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2017
Concurr. Comput. Pract. Exp., 2017
2016
Proceedings of the 12th International Conference on Semantics, Knowledge and Grids, 2016