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Xishun Liao
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2020 – today
- 2024
- [j7]Xu Han, Zonglin Meng, Xin Xia, Xishun Liao, Brian Yueshuai He, Zhaoliang Zheng, Yutong Wang, Hao Xiang, Zewei Zhou, Letian Gao, Lili Fan, Yuke Li, Jiaqi Ma:
Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0. IEEE Trans. Intell. Veh. 9(1): 39-47 (2024) - [j6]Haoxuan Ma, Yifan Liu, Qinhua Jiang, Brian Yueshuai He, Xishun Liao, Jiaqi Ma:
Mobility AI Agents and Networks. IEEE Trans. Intell. Veh. 9(7): 5124-5129 (2024) - [i12]Yifan Liu, Chenchen Kuai, Haoxuan Ma, Xishun Liao, Brian Yueshuai He, Jiaqi Ma:
Semantic Trajectory Data Mining with LLM-Informed POI Classification. CoRR abs/2405.11715 (2024) - [i11]Xishun Liao, Brian Yueshuai He, Qinhua Jiang, Chenchen Kuai, Jiaqi Ma:
Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis. CoRR abs/2405.17468 (2024) - [i10]Qinhua Jiang, Xishun Liao, Yaofa Gong, Jiaqi Ma:
An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction. CoRR abs/2405.21045 (2024) - [i9]Chris Stanford, Suman Adari, Xishun Liao, Brian Yueshuai He, Qinhua Jiang, Chenchen Kuai, Jiaqi Ma, Emmanuel Tung, Yinlong Qian, Lingyi Zhao, Zihao Zhou, Zeeshan Rasheed, Khurram Shafique:
NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks. CoRR abs/2409.03024 (2024) - [i8]Yifan Liu, Xishun Liao, Haoxuan Ma, Brian Yueshuai He, Chris Stanford, Jiaqi Ma:
Human Mobility Modeling with Limited Information via Large Language Models. CoRR abs/2409.17495 (2024) - [i7]Xishun Liao, Yifan Liu, Chenchen Kuai, Haoxuan Ma, Brian Yueshuai He, Shangqing Cao, Chris Stanford, Jiaqi Ma:
Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning. CoRR abs/2410.03788 (2024) - 2023
- [b1]Xishun Liao:
A Personalized Behavior-Aware Motion Planning Framework for Intelligent Vehicles Operation. University of California, Riverside, USA, 2023 - [j5]Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior. IEEE Internet Things J. 10(15): 13235-13246 (2023) - [c7]Xuanpeng Zhao, Xishun Liao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth:
Improving Truck Merging at Ramps in a Mixed Traffic Environment: A Multi-human-in-the-loop (MHuiL) Approach. ITSC 2023: 4297-4302 - [c6]Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control. ITSC 2023: 4428-4435 - [c5]Xishun Liao, Guoyuan Wu, Matthew J. Barth, Rohit Gupta, Kyungtae Han:
Exploring Vehicular Interaction from Trajectories Based on Granger Causality. IV 2023: 1-7 - [c4]Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. SMC 2023: 4675-4682 - [i6]Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Real-time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. CoRR abs/2309.05115 (2023) - [i5]Ziye Qin, Ang Ji, Zhanbo Sun, Guoyuan Wu, Peng Hao, Xishun Liao:
Game Theoretic Application to Intersection Management: A Literature Review. CoRR abs/2311.12341 (2023) - 2022
- [j4]Xuanpeng Zhao, Ahmed Abdo, Xishun Liao, Matthew J. Barth, Guoyuan Wu:
Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments. IEEE Intell. Transp. Syst. Mag. 14(6): 52-65 (2022) - [j3]Xishun Liao, Ziran Wang, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu:
Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication. IEEE Trans. Intell. Transp. Syst. 23(5): 4490-4500 (2022) - [j2]Xishun Liao, Xuanpeng Zhao, Ziran Wang, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu:
Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5746-5757 (2022) - [c3]Xishun Liao, Ziran Wang, Xuanpeng Zhao, Zhouqiao Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu:
Online Prediction of Lane Change with a Hierarchical Learning-Based Approach. ICRA 2022: 948-954 - [c2]Xishun Liao, Shashank Mehrotra, Samson Ho, Yuki Gorospe, Xingwei Wu, Teruhisa Misu:
Driver Profile Modeling Based on Driving Style, Personality Traits, and Mood States. ITSC 2022: 709-716 - [i4]Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior. CoRR abs/2211.01294 (2022) - 2021
- [i3]Xishun Liao, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Ziran Wang, Kyungtae Han, Prashant Tiwari:
A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform. CoRR abs/2101.11237 (2021) - [i2]Xuanpeng Zhao, Ahmed Abdo, Xishun Liao, Matthew J. Barth, Guoyuan Wu:
Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments. CoRR abs/2111.09521 (2021) - 2020
- [j1]Ziran Wang, Xishun Liao, Chao Wang, David Oswald, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Kyungtae Han, BaekGyu Kim, Prashant Tiwari:
Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach. IEEE Trans. Intell. Veh. 5(4): 738-749 (2020) - [c1]Ziran Wang, Xishun Liao, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu:
A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems. VTC Spring 2020: 1-6 - [i1]Zhensong Wei, Yu Jiang, Xishun Liao, Xuewei Qi, Ziran Wang, Guoyuan Wu, Peng Hao, Matthew J. Barth:
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning. CoRR abs/2001.09181 (2020)
Coauthor Index
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