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Xiaoyu Mo (莫小雨)
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Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network
X Mo, Z Huang, Y Xing, C Lv
IEEE Transactions on Intelligent Transportation Systems 23 (7), 9554-9567, 2022
164*2022
Learning to compose and reason with language tree structures for visual grounding
R Hong, D Liu, X Mo, X He, H Zhang
IEEE transactions on pattern analysis and machine intelligence 44 (2), 684-696, 2019
1332019
Multi-modal motion prediction with transformer-based neural network for autonomous driving
Z Huang, X Mo, C Lv
2022 International Conference on Robotics and Automation (ICRA), 2605-2611, 2022
982022
Interaction-aware trajectory prediction of connected vehicles using CNN-LSTM networks
X Mo, Y Xing, C Lv
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics …, 2020
662020
Toward safe and smart mobility: Energy-aware deep learning for driving behavior analysis and prediction of connected vehicles
Y Xing, C Lv, X Mo, Z Hu, C Huang, P Hang
IEEE Transactions on Intelligent Transportation Systems 22 (7), 4267-4280, 2021
582021
Graph and recurrent neural network-based vehicle trajectory prediction for highway driving
X Mo, Y Xing, C Lv
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
512021
Effect of adding edges to consensus networks with directed acyclic graphs
HT Zhang, Z Chen, X Mo*
IEEE Transactions on Automatic Control 62 (9), 4891-4897, 2017
492017
Recog: A deep learning framework with heterogeneous graph for interaction-aware trajectory prediction
X Mo, Y Xing, C Lv
arXiv preprint arXiv:2012.05032, 2020
432020
Secure pose estimation for autonomous vehicles under cyber attacks
Q Liu, Y Mo, X Mo, C Lv, E Mihankhah, D Wang
2019 IEEE Intelligent Vehicles Symposium (IV), 1583-1588, 2019
402019
Effects of adding a reverse edge across a stem in a directed acyclic graph
X Mo, Z Chen, HT Zhang
Automatica 103, 254-260, 2019
252019
Recoat: A deep learning-based framework for multi-modal motion prediction in autonomous driving application
Z Huang, X Mo, C Lv
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
152022
Augmenting reinforcement learning with transformer-based scene representation learning for decision-making of autonomous driving
H Liu, Z Huang, X Mo, C Lv
IEEE Transactions on Intelligent Vehicles, 2024
132024
Multi-modal interactive agent trajectory prediction using heterogeneous edge-enhanced graph attention network
X Mo, Z Huang, C Lv
Workshop on Autonomous Driving, CVPR 6, 7, 2021
102021
Map-adaptive multimodal trajectory prediction using hierarchical graph neural networks
X Mo, Y Xing, H Liu, C Lv
IEEE Robotics and Automation Letters, 2023
82023
Recoat: A deep learning framework with attention mechanism for multi-modal motion prediction
Z Huang, X Mo, C Lv
Workshop on Autonomous Driving, CVPR, 2021
72021
Predictive neural motion planner for autonomous driving using graph networks
X Mo, C Lv
IEEE Transactions on Intelligent Vehicles 8 (2), 1983-1993, 2023
52023
Stochastic multimodal interaction prediction for urban driving
X Mo, Z Huang, C Lv
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
52022
Multi-task driver steering behaviour modeling using time-series transformer
Y Xing, W Li, X Mo, C Lv
arXiv preprint arXiv:2207.00484, 2022
22022
Secure State Estimation for Linear Time-varying Processes via Local Estimators
L Xu, X Mo, Y Mo, X Liu
2019 Chinese Control Conference (CCC), 8876-8881, 2019
22019
Distributed function calculation over noisy networks
Z Zeng, X Yang, Z Zhang, X Mo, Z Long
Mathematical Problems in Engineering 2016 (1), 6093293, 2016
22016
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