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Kun Gao 0004
Person information
- affiliation: Chalmers University of Technology, CTH, Department of Architecture and Civil Engineering, Gothenburg, Sweden
- affiliation (PhD 2019): Tongji University, Shanghai, China
Other persons with the same name
- Kun Gao — disambiguation page
- Kun Gao 0001
— Beijing Institute of Technology, School of Optics and Photonics, China (and 1 more)
- Kun Gao 0002
— Peking University, College of Engineering, Beijing, China (and 4 more)
- Kun Gao 0003
— Peking University, Key Laboratory of High Confidence Software Technologies, School of Computer Science, Beijing, China (and 1 more)
- Kun Gao 0005 — Zhejiang Wanli University, Computer Science and Information Technology College, Ningbo, China
- Kun Gao 0006 — University of Technology Sydney, School of Computer Science, Centre for Cyber Security and Privacy, NSW, Australia
- Kun Gao 0007
— Southwest University of Science and Technology, School of Science, China (and 1 more)
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2020 – today
- 2025
- [j11]Jianqiang Gao, Bo Yu, Yuren Chen, Kun Gao, Shan Bao:
A multi-perspective fusion model for operating speed prediction on highways using knowledge-enhanced graph neural networks. Comput. Aided Civ. Infrastructure Eng. 40(8): 1004-1027 (2025) - [j10]Shuli Wang
, Kun Gao
, Lanfang Zhang, Yang Liu
, Lei Chen
:
Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity With Interpretability. IEEE Intell. Transp. Syst. Mag. 17(2): 110-125 (2025) - [j9]Shaohua Cui
, Yongjie Xue
, Maolong Lv, Kun Gao
, Bin Yu
, Jinde Cao
:
Temporal Finite-Time Adaptation in Controlling Quantized Nonlinear Systems Amidst Time-Varying Output Constraints. IEEE Trans Autom. Sci. Eng. 22: 3265-3279 (2025) - 2024
- [j8]Weixi Ren, Bo Yu, Yuren Chen, Kun Gao, Shan Bao, Zhixuan Wang, Yuting Qin:
An intelligent optimization method for the facility environment on rural roads. Comput. Aided Civ. Infrastructure Eng. 39(17): 2559-2580 (2024) - [j7]Jiahui Liu, Yang Liu, Kun Gao, Liang Wang:
Generative Edge Intelligence for IoT-Assisted Vehicle Accident Detection: Challenges and Prospects. IEEE Internet Things Mag. 7(3): 50-54 (2024) - [j6]Hongyi Lin
, Yixu He
, Yang Liu
, Kun Gao
, Xiaobo Qu:
Deep Demand Prediction: An Enhanced Conformer Model With Cold-Start Adaptation for Origin-Destination Ride-Hailing Demand Prediction. IEEE Intell. Transp. Syst. Mag. 16(3): 111-124 (2024) - [j5]Bo Yu
, Kun Gao
, Zeyang Cheng
, Yuren Chen
, Lishengsa Yue
:
A Human-Like Visual Perception System for Autonomous Vehicles Using a Neuron-Triggered Hybrid Unsupervised Deep Learning Method. IEEE Trans. Intell. Transp. Syst. 25(7): 8171-8180 (2024) - [j4]Hongyi Lin
, Cheng Lyu
, Yixu He
, Yang Liu
, Kun Gao
, Xiaobo Qu
:
Enhancing State Representation in Multi-Agent Reinforcement Learning for Platoon-Following Models. IEEE Trans. Veh. Technol. 73(8): 12110-12114 (2024) - 2023
- [j3]Qingwen Xue
, Kun Gao
, Yingying Xing, Jian Lu, Xiaobo Qu
:
A Context-Aware Framework for Risky Driving Behavior Evaluation Based on Trajectory Data. IEEE Intell. Transp. Syst. Mag. 15(1): 70-83 (2023) - [j2]Shaohua Cui
, Yongjie Xue
, Kun Gao
, Maolong Lv, Bin Yu
:
Adaptive Collision-Free Trajectory Tracking Control for String Stable Bidirectional Platoons. IEEE Trans. Intell. Transp. Syst. 24(11): 12141-12153 (2023) - [i1]Shuli Wang, Kun Gao
, Lanfang Zhang, Yang Liu, Lei Chen:
Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity with Interpretability. CoRR abs/2312.12123 (2023) - 2021
- [j1]Kun Gao
, Ying Yang
, Tianshu Zhang, Aoyong Li
, Xiaobo Qu
:
Extrapolation-enhanced model for travel decision making: An ensemble machine learning approach considering behavioral theory. Knowl. Based Syst. 218: 106882 (2021) - 2020
- [c1]Tianshu Zhang, Kun Gao
:
Will Autonomous Vehicles Improve Traffic Efficiency and Safety in Urban Road Bottlenecks? The Penetration Rate Matters. ICITE 2020: 366-370
Coauthor Index

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last updated on 2025-08-12 01:00 CEST by the dblp team
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