Impact of Sharing Driving Attitude Information: A Quantitative Study on Lane Changing. - Xiangguo Liu; Neda Masoud; Qi Zhu 002 (IV, 2020)

Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning. - Xiangguo Liu; Guangchen Zhao; Neda Masoud; Qi Zhu 002 (CoRR, 2020)

Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems. - Qi Zhu 002; Chao Huang 015; Ruochen Jiao; Shuyue Lan; Hengyi Liang; Xiangguo Liu; Yixuan Wang 001; Zhilu Wang; Shichao Xu (ASP-DAC, 2021)

Securing Connected Vehicle Applications with an Efficient Dual Cyber- Physical Blockchain Framework. - Xiangguo Liu; Baiting Luo; Ahmed Abdo; Nael B. Abu-Ghazaleh; Qi Zhu 002 (IV, 2021)

Credibility Enhanced Temporal Graph Convolutional Network Based Sybil Attack Detection On Edge Computing Servers. - Baiting Luo; Xiangguo Liu; Qi Zhu 002 (IV, 2021)

Data-Driven Energy Efficiency Evaluation and Energy Anomaly Detection of Multi-type Enterprises Based on Energy Consumption Big Data Mining. - Xiangguo Liu; Jian Geng; Zhonglong Wang; Lingyao Cai; Fanjiao Yin (ICBDS, 2022)

Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner. - Xiangguo Liu; Chao Huang 015; Yixuan Wang 001; Bowen Zheng 001; Qi Zhu 002 (ICCPS, 2022)

TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor. - Ruochen Jiao; Xiangguo Liu; Bowen Zheng 001; Dave Liang; Qi Zhu 002 (IROS, 2022)

Neural Network based Interactive Lane Changing Planner in Dense Traffic with Safety Guarantee. - Xiangguo Liu; Ruochen Jiao; Bowen Zheng 001; Dave Liang; Qi Zhu 002 (CoRR, 2022)

DSRC & C-V2X Comparison for Connected and Automated Vehicles in Different Traffic Scenarios. - Yuanzhe Jin; Xiangguo Liu; Qi Zhu 002 (CoRR, 2022)

Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction. - Ruochen Jiao; Xiangguo Liu; Takami Sato; Qi Alfred Chen; Qi Zhu 002 (CoRR, 2022)

Mixed-Traffic Intersection Management Utilizing Connected and Autonomous Vehicles as Traffic Regulators. - Pin-Chun Chen; Xiangguo Liu; Chung-Wei Lin; Chao Huang 015; Qi Zhu 002 (ASP-DAC, 2023)

Safety-Driven Interactive Planning for Neural Network-Based Lane Changing. - Xiangguo Liu; Ruochen Jiao; Bowen Zheng 001; Dave Liang; Qi Zhu 002 (ASP-DAC, 2023)

Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic. - Xiangguo Liu; Ruochen Jiao; Bowen Zheng 001; Dave Liang; Qi Zhu 002 (AAMAS, 2023)

Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing. - Xiangguo Liu; Yunpeng Luo; Anthony Goeckner; Trishna Chakraborty; Ruochen Jiao; Ningfei Wang; Yixuan Wang 001; Takami Sato; Qi Alfred Chen; Qi Zhu 002 (DAC, 2023)

A Safety-Guaranteed Framework for Neural-Network-Based Planners in Connected Vehicles under Communication Disturbance. - Kevin Kai-Chun Chang; Xiangguo Liu; Chung-Wei Lin; Chao Huang 015; Qi Zhu 002 (DATE, 2023)

Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction. - Ruochen Jiao; Xiangguo Liu; Takami Sato; Qi Alfred Chen; Qi Zhu 002 (ICCV, 2023)

Learning Representation for Anomaly Detection of Vehicle Trajectories. - Ruochen Jiao; Juyang Bai; Xiangguo Liu; Takami Sato; Xiaowei Yuan; Qi Alfred Chen; Qi Zhu 002 (IROS, 2023)

Safety-Assured Speculative Planning with Adaptive Prediction. - Xiangguo Liu; Ruochen Jiao; Yixuan Wang 001; Yimin Han; Bowen Zheng 001; Qi Zhu 002 (IROS, 2023)

Interactive Trajectory Planner for Mandatory Lane Changing in Dense Non-Cooperative Traffic. - Xiangguo Liu; Jianxing Chen; Shan Li; Yajia Zhang; Hongtao Yu; Fuqiang Huang; Jiechao Liu; Chao Wang; Liyun Li; Qi Zhu 002 (CoRR, 2023)

Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling. - Ruochen Jiao; Yixuan Wang 001; Xiangguo Liu; Chao Huang 015; Qi Zhu 002 (CoRR, 2023)

Cloud and Edge Computing for Connected and Automated Vehicles. - Qi Zhu 002; Bo Yu 014; Ziran Wang; Jie Tang 003; Qi Alfred Chen; Zihao Li; Xiangguo Liu; Yunpeng Luo; Lingzi Tu (Found. Trends Electron. Des. Autom., 2023)

Hyperspectral remote sensing image dimensionality reduction method based on adaptive filtering. - Fang Xia; Shiwei Chu; Xiangguo Liu; Guodong Li (J. Comput. Methods Sci. Eng., 2023)

Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling. - Ruochen Jiao; Yixuan Wang 001; Xiangguo Liu; Simon Sinong Zhan; Chao Huang 015; Qi Zhu 002 (IROS, 2024)

Local image segmentation model via Hellinger distance. - Guojun Liu; Jianhui Guo; Yazhen Wang; Xiangguo Liu; Wentao Ma; Rui Zhang (Vis. Comput., 2024)