A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems. - Ziran Wang; Xishun Liao; Xuanpeng Zhao; Kyungtae Han; Prashant Tiwari; Matthew J. Barth; Guoyuan Wu 001 (VTC Spring, 2020)

End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning. - Zhensong Wei; Yu Jiang; Xishun Liao; Xuewei Qi; Ziran Wang; Guoyuan Wu 001; Peng Hao 001; Matthew J. Barth (CoRR, 2020)

Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach. - Ziran Wang; Xishun Liao; Chao Wang 089; David Oswald; Guoyuan Wu 001; Kanok Boriboonsomsin; Matthew J. Barth; Kyungtae Han; BaekGyu Kim; Prashant Tiwari (IEEE Trans. Intell. Veh., 2020)

A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform. - Xishun Liao; Xuanpeng Zhao; Guoyuan Wu 001; Matthew J. Barth; Ziran Wang; Kyungtae Han; Prashant Tiwari (CoRR, 2021)

Online Prediction of Lane Change with a Hierarchical Learning-Based Approach. - Xishun Liao; Ziran Wang; Xuanpeng Zhao; Zhouqiao Zhao; Kyungtae Han; Prashant Tiwari; Matthew J. Barth; Guoyuan Wu 001 (ICRA, 2022)

Driver Profile Modeling Based on Driving Style, Personality Traits, and Mood States. - Xishun Liao; Shashank Mehrotra; Samson Ho; Yuki Gorospe; Xingwei Wu; Teruhisa Misu (ITSC, 2022)

Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments. - Xuanpeng Zhao; Ahmed Abdo; Xishun Liao; Matthew J. Barth; Guoyuan Wu 001 (IEEE Intell. Transp. Syst. Mag., 2022)

Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication. - Xishun Liao; Ziran Wang; Xuanpeng Zhao; Kyungtae Han; Prashant Tiwari; Matthew J. Barth; Guoyuan Wu 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation. - Xishun Liao; Xuanpeng Zhao; Ziran Wang; Kyungtae Han; Prashant Tiwari; Matthew J. Barth; Guoyuan Wu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Improving Truck Merging at Ramps in a Mixed Traffic Environment: A Multi-human-in-the-loop (MHuiL) Approach. - Xuanpeng Zhao; Xishun Liao; Guoyuan Wu 001; Kanok Boriboonsomsin; Matthew J. Barth (ITSC, 2023)

Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control. - Zhouqiao Zhao; Xishun Liao; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (ITSC, 2023)

Exploring Vehicular Interaction from Trajectories Based on Granger Causality. - Xishun Liao; Guoyuan Wu 001; Matthew J. Barth; Rohit Gupta; Kyungtae Han (IV, 2023)

Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. - Zhouqiao Zhao; Xishun Liao; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (SMC, 2023)

A Personalized Behavior-Aware Motion Planning Framework for Intelligent Vehicles Operation - Xishun Liao (2023)

Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior. - Xishun Liao; Xuanpeng Zhao; Ziran Wang; Zhouqiao Zhao; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (IEEE Internet Things J., 2023)

Semantic Trajectory Data Mining with LLM-Informed POI Classification. - Yifan Liu; Chenchen Kuai; Xishun Liao; Haoxuan Ma; Brian Yueshuai He; Jiaqi Ma 003 (ITSC, 2024)

Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis. - Xishun Liao; Brian Yueshuai He; Qinhua Jiang; Chenchen Kuai; Jiaqi Ma 003 (CoRR, 2024)

An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction. - Qinhua Jiang; Xishun Liao; Yaofa Gong; Jiaqi Ma 003 (CoRR, 2024)

NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks. - Chris Stanford; Suman Adari; Xishun Liao; Brian Yueshuai He; Qinhua Jiang; Chenchen Kuai; Jiaqi Ma 003; Emmanuel Tung; Yinlong Qian; Lingyi Zhao; Zihao Zhou; Zeeshan Rasheed; et al. (CoRR, 2024)

Human Mobility Modeling with Limited Information via Large Language Models. - Yifan Liu; Xishun Liao; Haoxuan Ma; Brian Yueshuai He; Chris Stanford; Jiaqi Ma 003 (CoRR, 2024)

Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning. - Xishun Liao; Yifan Liu; Chenchen Kuai; Haoxuan Ma; Brian Yueshuai He; Shangqing Cao; Chris Stanford; Jiaqi Ma 003 (CoRR, 2024)

Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0. - Xu Han 014; Zonglin Meng; Xin Xia 007; Xishun Liao; Brian Yueshuai He; Zhaoliang Zheng; Yutong Wang 001; Hao Xiang; Zewei Zhou; Letian Gao; Lili Fan; Yuke Li; et al. (IEEE Trans. Intell. Veh., 2024)

Mobility AI Agents and Networks. - Haoxuan Ma; Yifan Liu; Qinhua Jiang; Brian Yueshuai He; Xishun Liao; Jiaqi Ma 003 (IEEE Trans. Intell. Veh., 2024)

A Review of Personalization in Driving Behavior: Dataset, Modeling, and Validation. - Xishun Liao; Zhouqiao Zhao; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; Jiaqi Ma 003; Guoyuan Wu 001 (IEEE Trans. Intell. Veh., 2025)

MobiFuse: Learning Universal Human Mobility Patterns through Cross-domain Data Fusion. - Haoxuan Ma; Xishun Liao; Yifan Liu; Qinhua Jiang; Chris Stanford; Shangqing Cao; Jiaqi Ma 003 (CoRR, 2025)

Game Theoretic Application to Intersection Management: A Literature Review. - Ziye Qin; Ang Ji; Zhanbo Sun; Guoyuan Wu 001; Peng Hao 001; Xishun Liao (IEEE Trans. Intell. Veh., 2025)

MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models. - Yifan Liu; Xishun Liao; Haoxuan Ma; Jonathan Liu; Rohan Jadhav; Jiaqi Ma 003 (CoRR, 2025)

Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination. - Xishun Liao; Haoxuan Ma; Yifan Liu; Yuxiang Wei; Brian Yueshuai He; Chris Stanford; Jiaqi Ma 003 (CoRR, 2025)

Beyond 9-to-5: A Generative Model for Augmenting Mobility Data of Underrepresented Shift Workers. - Haoxuan Ma; Xishun Liao; Yifan Liu; Chris Stanford; Jiaqi Ma 003 (CoRR, 2025)