Xishun Liao

39 papers A* 1B 1C 1Journal 25Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Review of Personalization in Driving Behavior: Dataset, Modeling, and Validation.
IEEE Trans. Intell. Veh.
Xishun Liao, Zhouqiao Zhao, Matthew J. Barth, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Jiaqi Ma, Guoyuan Wu
2025 — conf
Beyond 9-to-5: A Generative Model for Augmenting Mobility Data of Underrepresented Shift Workers.
ITSC
Haoxuan Ma, Xishun Liao, Yifan Liu, Chris Stanford, Jiaqi Ma
2025 J jnl
Beyond 9-to-5: A Generative Model for Augmenting Mobility Data of Underrepresented Shift Workers.
CoRR
Haoxuan Ma, Xishun Liao, Yifan Liu, Chris Stanford, Jiaqi Ma
2025 J jnl
Game Theoretic Application to Intersection Management: A Literature Review.
IEEE Trans. Intell. Veh.
Ziye Qin, Ang Ji, Zhanbo Sun, Guoyuan Wu, Peng Hao, Xishun Liao
2025 — conf
Human Mobility Modeling with Household Coordination Activities Under Limited Information via Retrieval-Augmented LLMs.
ITSC
Yifan Liu, Xishun Liao, Haoxuan Ma, Brian Yueshuai He, Chris Stanford, Jiaqi Ma
2025 J jnl
MobiFuse: Learning Universal Human Mobility Patterns through Cross-domain Data Fusion.
CoRR
Haoxuan Ma, Xishun Liao, Yifan Liu, Qinhua Jiang, Chris Stanford, Shangqing Cao, Jiaqi Ma
2025 — conf
MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models.
ITSC
Yifan Liu, Xishun Liao, Haoxuan Ma, Jonathan Liu, Rohan Jadhav, Jiaqi Ma
2025 J jnl
MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models.
CoRR
Yifan Liu, Xishun Liao, Haoxuan Ma, Jonathan Liu, Rohan Jadhav, Jiaqi Ma
2025 — conf
Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination.
ITSC
Xishun Liao, Haoxuan Ma, Yifan Liu, Yuxiang Wei, Brian Yueshuai He, Chris Stanford, Jiaqi Ma
2025 J jnl
Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination.
CoRR
Xishun Liao, Haoxuan Ma, Yifan Liu, Yuxiang Wei, Brian Yueshuai He, Chris Stanford, Jiaqi Ma
2024 J jnl
An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction.
CoRR
Qinhua Jiang, Xishun Liao, Yaofa Gong, Jiaqi Ma
2024 J jnl
Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis.
CoRR
Xishun Liao, Brian Yueshuai He, Qinhua Jiang, Chenchen Kuai, Jiaqi Ma
2024 J jnl
Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0.
IEEE Trans. Intell. Veh.
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
2024 J jnl
Human Mobility Modeling with Limited Information via Large Language Models.
CoRR
Yifan Liu, Xishun Liao, Haoxuan Ma, Brian Yueshuai He, Chris Stanford, Jiaqi Ma
2024 J jnl
Mobility AI Agents and Networks.
IEEE Trans. Intell. Veh.
Haoxuan Ma, Yifan Liu, Qinhua Jiang, Brian Yueshuai He, Xishun Liao, Jiaqi Ma
2024 — conf
NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks.
GeoAnomalies@SIGSPATIAL
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
2024 J jnl
NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks.
CoRR
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
2024 J jnl
Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning.
CoRR
Xishun Liao, Yifan Liu, Chenchen Kuai, Haoxuan Ma, Brian Yueshuai He, Shangqing Cao, Chris Stanford, Jiaqi Ma
2024 — conf
Semantic Trajectory Data Mining with LLM-Informed POI Classification.
ITSC
Yifan Liu, Chenchen Kuai, Xishun Liao, Haoxuan Ma, Brian Yueshuai He, Jiaqi Ma
2024 J jnl
Semantic Trajectory Data Mining with LLM-Informed POI Classification.
CoRR
Yifan Liu, Chenchen Kuai, Haoxuan Ma, Xishun Liao, Brian Yueshuai He, Jiaqi Ma
2023 — —
A Personalized Behavior-Aware Motion Planning Framework for Intelligent Vehicles Operation
Xishun Liao
2023 J jnl
Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior.
IEEE Internet Things J.
Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu
2023 C conf
Exploring Vehicular Interaction from Trajectories Based on Granger Causality.
IV
Xishun Liao, Guoyuan Wu, Matthew J. Barth, Rohit Gupta, Kyungtae Han
2023 J jnl
Game Theoretic Application to Intersection Management: A Literature Review.
CoRR
Ziye Qin, Ang Ji, Zhanbo Sun, Guoyuan Wu, Peng Hao, Xishun Liao
2023 — conf
Improving Truck Merging at Ramps in a Mixed Traffic Environment: A Multi-human-in-the-loop (MHuiL) Approach.
ITSC
Xuanpeng Zhao, Xishun Liao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
2023 — conf
Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control.
ITSC
Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu
2023 B conf
Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control.
SMC
Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu
2023 J jnl
Real-time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control.
CoRR
Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu
2022 J jnl
Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication.
IEEE Trans. Intell. Transp. Syst.
Xishun Liao, Ziran Wang, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu
2022 J jnl
Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior.
CoRR
Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu
2022 — conf
Driver Profile Modeling Based on Driving Style, Personality Traits, and Mood States.
ITSC
Xishun Liao, Shashank Mehrotra, Samson Ho, Yuki Gorospe, Xingwei Wu, Teruhisa Misu
2022 J jnl
Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments.
IEEE Intell. Transp. Syst. Mag.
Xuanpeng Zhao, Ahmed Abdo, Xishun Liao, Matthew J. Barth, Guoyuan Wu
2022 J jnl
Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation.
IEEE Trans. Syst. Man Cybern. Syst.
Xishun Liao, Xuanpeng Zhao, Ziran Wang, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu
2022 A* conf
Online Prediction of Lane Change with a Hierarchical Learning-Based Approach.
ICRA
Xishun Liao, Ziran Wang, Xuanpeng Zhao, Zhouqiao Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu
2021 J jnl
A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform.
CoRR
Xishun Liao, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Ziran Wang, Kyungtae Han, Prashant Tiwari
2021 J jnl
Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments.
CoRR
Xuanpeng Zhao, Ahmed Abdo, Xishun Liao, Matthew J. Barth, Guoyuan Wu
2020 — conf
A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems.
VTC Spring
Ziran Wang, Xishun Liao, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu
2020 J jnl
Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach.
IEEE Trans. Intell. Veh.
Ziran Wang, Xishun Liao, Chao Wang, David Oswald, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Kyungtae Han, BaekGyu Kim, Prashant Tiwari
2020 J jnl
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning.
CoRR
Zhensong Wei, Yu Jiang, Xishun Liao, Xuewei Qi, Ziran Wang, Guoyuan Wu, Peng Hao, Matthew J. Barth