Zilin Huang - IEEE Xplore Author Profile
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Zilin Huang

Publications
5
Citations
19
Publications by Year
20192024
Co-Authors:
Show All Co-Authors (18)
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Zilin Huang

Affiliation

School of Computer and Big Data
Minjiang University
Fuzhou, China

Publication Topics

Biography

Zilin Huang received the B.S. degree from the School of Electromechanical Engineering, Guangdong University of Technology, in 2018, and the M.S. degree in communication and transportation engineering from the South China University of Technology in 2021. He is currently pursuing the Ph.D. degree with the Department of Civil and Environmental Engineering, University of Wisconsin (UW)–Madison, USA. Before joining UW-Madison, he was with the Center for Connected and Automated Transportation (CCAT), Purdue University, USA. His research interests include human-centered AI, autonomous driving, robotics, human-robot interaction, and intelligent transportation.(Based on document published on 28 August 2024).
Publications
5
Citations
19
Publications by Year
20192024
Co-Authors:
Show All Co-Authors (18)
Author's Published Works

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Iterative-Weighted Thresholding Method for Group-Sparsity-Constrained Optimization With Applications

Lanfan Jiang;Zilin Huang;Yu Chen;Wenxing Zhu

IEEE Transactions on Neural Networks and Learning Systems
Year: 2024 | Early Access Article |
Taking advantage of the natural grouping structure inside data, group sparse optimization can effectively improve the efficiency and stability of high-dimensional data analysis, and it has wide applications in a variety of fields such as machine learning, signal processing, and bioinformatics. Although there has been a lot of progress, it is still a challenge to construct a group sparse-inducing f...Show More

Iterative-Weighted Thresholding Method for Group-Sparsity-Constrained Optimization With Applications

Lanfan Jiang;Zilin Huang;Yu Chen;Wenxing Zhu

Year: 2024 | Early Access Article |

Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer

Junwei You;Ying Chen;Zhuoyu Jiang;Zhangchi Liu;Zilin Huang;Yifeng Ding;Bin Ran

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 11 | Journal Article |
Effective classification of autonomous vehicle (AV) driving behavior emerges as a critical area for diagnosing AV operation faults, enhancing autonomous driving algorithms, and reducing accident rates. This paper presents the Gramian Angular Field Vision Transformer (GAF-ViT) model, specifically designed for analyzing AV driving behavior. The GAF-ViT model is developed upon a novel integration of ...Show More

Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer

Junwei You;Ying Chen;Zhuoyu Jiang;Zhangchi Liu;Zilin Huang;Yifeng Ding;Bin Ran

Year: 2024 | Volume: 25, Issue: 11 | Journal Article |

Kinematics-Aware Multigraph Attention Network with Residual Learning for Heterogeneous Trajectory Prediction

Zihao Sheng;Zilin Huang;Sikai Chen

Journal of Intelligent and Connected Vehicles
Year: 2024 | Volume: 7, Issue: 2 | Journal Article |
Cited by: Papers (3)
Trajectory prediction for heterogeneous traffic agents plays a crucial role in ensuring the safety and efficiency of automated driving in highly interactive traffic environments. Numerous studies in this area have focused on physics-based approaches because they can clearly interpret the dynamic evolution of trajectories. However, physics-based methods often suffer from limited accuracy. Recent le...Show More

Kinematics-Aware Multigraph Attention Network with Residual Learning for Heterogeneous Trajectory Prediction

Zihao Sheng;Zilin Huang;Sikai Chen

Year: 2024 | Volume: 7, Issue: 2 | Journal Article |

Toward C-V2X Enabled Connected Transportation System: RSU-Based Cooperative Localization Framework for Autonomous Vehicles

Zilin Huang;Sikai Chen;Yuzhuang Pian;Zihao Sheng;Soyoung Ahn;David A. Noyce

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 10 | Journal Article |
Cited by: Papers (3)
An accurate and robust localization system is crucial for autonomous vehicles (AVs) to enable safe driving in urban scenes. While existing global navigation satellite system (GNSS)-based methods are effective at locating vehicles in open-sky regions, achieving high-accuracy positioning in urban canyons such as lower layers of multi-layer bridges, streets beside tall buildings, tunnels, etc., remai...Show More

Toward C-V2X Enabled Connected Transportation System: RSU-Based Cooperative Localization Framework for Autonomous Vehicles

Zilin Huang;Sikai Chen;Yuzhuang Pian;Zihao Sheng;Soyoung Ahn;David A. Noyce

Year: 2024 | Volume: 25, Issue: 10 | Journal Article |

A Novel WIFI-Oriented RSSI Signal Processing Method for Tracking Low-Speed Pedestrians

Zilin Huang;Xianyuan Zhu;Yongjie Lin;Lunhui Xu;Yadong Mao

2019 5th International Conference on Transportation Information and Safety (ICTIS)
Year: 2019 | Conference Paper |
Cited by: Papers (13)
The accurate estimation of pedestrian movement location is one of hot research topics among Intelligent Transportation Systems. In the real-time pedestrian tracking application, the WiFi-based localization method is seriously affected by environmental noise, which results in the large positioning error. Aiming at this issue, this paper first analyzed the localization technologies based on the Rece...Show More

A Novel WIFI-Oriented RSSI Signal Processing Method for Tracking Low-Speed Pedestrians

Zilin Huang;Xianyuan Zhu;Yongjie Lin;Lunhui Xu;Yadong Mao

Year: 2019 | Conference Paper |

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