Xiangguo Liu

According to our database1, Xiangguo Liu authored at least 24 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Local image segmentation model via Hellinger distance.
Vis. Comput., November, 2024

2023
Hyperspectral remote sensing image dimensionality reduction method based on adaptive filtering.
J. Comput. Methods Sci. Eng., 2023

Cloud and Edge Computing for Connected and Automated Vehicles.
Found. Trends Electron. Des. Autom., 2023

Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling.
CoRR, 2023

Interactive Trajectory Planner for Mandatory Lane Changing in Dense Non-Cooperative Traffic.
CoRR, 2023

Safety-Assured Speculative Planning with Adaptive Prediction.
IROS, 2023

Learning Representation for Anomaly Detection of Vehicle Trajectories.
IROS, 2023

Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Safety-Guaranteed Framework for Neural-Network-Based Planners in Connected Vehicles under Communication Disturbance.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Safety-Driven Interactive Planning for Neural Network-Based Lane Changing.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

Mixed-Traffic Intersection Management Utilizing Connected and Autonomous Vehicles as Traffic Regulators.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction.
CoRR, 2022

DSRC & C-V2X Comparison for Connected and Automated Vehicles in Different Traffic Scenarios.
CoRR, 2022

Neural Network based Interactive Lane Changing Planner in Dense Traffic with Safety Guarantee.
CoRR, 2022

TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Data-Driven Energy Efficiency Evaluation and Energy Anomaly Detection of Multi-type Enterprises Based on Energy Consumption Big Data Mining.
Proceedings of the Big Data and Security - 4th International Conference, 2022

2021
Credibility Enhanced Temporal Graph Convolutional Network Based Sybil Attack Detection On Edge Computing Servers.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Securing Connected Vehicle Applications with an Efficient Dual Cyber- Physical Blockchain Framework.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning.
CoRR, 2020

Impact of Sharing Driving Attitude Information: A Quantitative Study on Lane Changing.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020


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