Research

Research Interests

My research interests include optimization, control and learning theories as well as applications on connected and automated vehicle and cyber-physical systems.

Publications

You can also find my publications through Google Scholar Profile.

• 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, Takami Sato, Qi Alfred Chen, Qi Zhu

  • 60th ACM/IEEE Design Automation Conference (DAC’23), 2023

• Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic: Extended Abstract

  • Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu

  • 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS’23), 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, Qi Zhu

  • Design, Automation and Test in Europe Conference (DATE’23), 2023

• Safety-driven Interactive Planning for Neural Network-based Lane Changing

  • Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu

  • 28th Asia and South Pacific Design Automation Conference (ASP-DAC’23), 2023

  • Best Paper Candidate

• Mixed-Traffic Intersection Management Utilizing Connected and Autonomous Vehicles as Traffic Regulators

  • Pin-Chun Chen, Xiangguo Liu, Chung-Wei Lin, Chao Huang, Qi Zhu

  • 28th Asia and South Pacific Design Automation Conference (ASP-DAC’23), 2023

• TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor

  • Ruochen Jiao, Xiangguo Liu, Bowen Zheng, Dave Liang, Qi Zhu

  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’22), 2022

• Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner

  • Xiangguo Liu, Chao Huang, Yixuan Wang, Bowen Zheng, Qi Zhu

  • 13th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS’22), 2022

• A Markov Decision Process Framework to Incorporate Network-Level Data in Motion Planning for Connected and Automated Vehicles

  • Xiangguo Liu, Neda Masoud, Qi Zhu, Anahita Khojandi

  • Transportation Research Part C: Emerging Technologies, 2022

• Securing Connected Vehicle Applications with an Efficient Dual Cyber-Physical Blockchain Framework

  • Xiangguo Liu, Baiting Luo, Ahmed Abdo, Nael Abu-Ghazaleh, Qi Zhu

  • 32nd IEEE Intelligent Vehicles Symposium (IV’21), 2021

• Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning

  • Xiangguo Liu, Guangchen Zhao, Neda Masoud, Qi Zhu

  • SAE International Journal of Connected and Automated Vehicles, 2021

• Credibility Enhanced Temporal Graph Convolutional Network Based Sybil Attack Detection On Edge Computing Servers

  • Baiting Luo, Xiangguo Liu, Qi Zhu

  • 32nd IEEE Intelligent Vehicles Symposium (IV’21), 2021

• Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems

  • Qi Zhu, Chao Huang, Ruochen Jiao, Shuyue Lan, Hengyi Liang, Xiangguo Liu, Yixuan Wang, Zhilu Wang, Shichao Xu

  • 26th Asia and South Pacific Design Automation Conference (ASP-DAC'21), 2021

• A Markov Decision Process Framework to Incorporate Network-Level Data in Motion Planning for Connected and Automated Vehicles

  • Xiangguo Liu, Neda Masoud, Qi Zhu, Anahita Khojandi

  • 100th Transportation Research Board Annual Meeting (TRB'21), 2021

• Impact of Sharing Driving Attitude Information: A Quantitative Study on Lane Changing

  • Xiangguo Liu, Neda Masoud, Qi Zhu

  • IEEE Intelligent Vehicles Symposium (IV’20), 2020

• Trajectory Planning for Connected and Automated Vehicles: Cruising and Platooning in Mixed Traffic

  • Xiangguo Liu, Guangchen Zhao, Neda Masoud, Qi Zhu

  • 99th Transportation Research Board Annual Meeting (TRB'20), 2020