Xiaoyu Mo

Orcid: 0000-0001-6009-6487

According to our database1, Xiaoyu Mo authored at least 25 papers between 2017 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
Exploring the Opportunity of Augmented Reality (AR) in Supporting Older Adults Explore and Learn Smartphone Applications.
CoRR, 2024

Hybrid-Prediction Integrated Planning for Autonomous Driving.
CoRR, 2024

2023
Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks.
IEEE Robotics Autom. Lett., June, 2023

Predictive Neural Motion Planner for Autonomous Driving Using Graph Networks.
IEEE Trans. Intell. Veh., February, 2023

A Generalized Multi-Modal Fusion Detection Framework.
CoRR, 2023

Designing Loving-Kindness Meditation in Virtual Reality for Long-Distance Romantic Relationships.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MMFusion: A Generalized Multi-Modal Fusion Detection Framework.
Proceedings of the IEEE International Conference on Development and Learning, 2023

2022
Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network.
IEEE Trans. Intell. Transp. Syst., 2022

Learning to Compose and Reason with Language Tree Structures for Visual Grounding.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving.
CoRR, 2022

Multi-task Driver Steering Behaviour Modeling Using Time-Series Transformer.
CoRR, 2022

Stochastic Multimodal Interaction Prediction for Urban Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Intention Estimation via Gaze for Robot Guidance in Hierarchical Tasks.
Proceedings of The 1st Gaze Meets ML workshop, 2022

Reducing Stress and Anxiety in the Metaverse: A Systematic Review of Meditation, Mindfulness and Virtual Reality.
Proceedings of the Tenth International Symposium of Chinese CHI, 2022

2021
Toward Safe and Smart Mobility: Energy-Aware Deep Learning for Driving Behavior Analysis and Prediction of Connected Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021

Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction.
CoRR, 2021

Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction For Highway Driving.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Low Cost Autonomous UAV Swarm Application in Wildfire Surveillance and Suppression.
Proceedings of the ICMLT 2021: 6th International Conference on Machine Learning Technologies, Jeju Island, Republic of Korea, April 23, 2021

2020
ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction.
CoRR, 2020

Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
Effects of adding a reverse edge across a stem in a directed acyclic graph.
Autom., 2019

Secure Pose Estimation for Autonomous Vehicles under Cyber Attacks.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2017
Effect of Adding Edges to Consensus Networks With Directed Acyclic Graphs.
IEEE Trans. Autom. Control., 2017


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