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Haochen Liu (刘浩晨)
Title
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Cited by
Year
Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving
Z Huang, H Liu, J Wu, C Lv
IEEE transactions on neural networks and learning systems, 2023
712023
Improved deep reinforcement learning with expert demonstrations for urban autonomous driving
H Liu, Z Huang, J Wu, C Lv
2022 IEEE intelligent vehicles symposium (IV), 921-928, 2022
682022
Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving
Z Huang, H Liu, C Lv
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
462023
Augmenting reinforcement learning with transformer-based scene representation learning for decision-making of autonomous driving
H Liu, Z Huang, X Mo, C Lv
arXiv preprint arXiv:2208.12263, 2022
382022
Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving
Z Huang, H Liu, J Wu, C Lv
IEEE Transactions on Intelligent Transportation Systems 24 (7), 7244-7258, 2023
342023
Learning interaction-aware motion prediction model for decision-making in autonomous driving
Z Huang, H Liu, J Wu, W Huang, C Lv
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
132023
An adaptive adjustment strategy for bolt posture errors based on an improved reinforcement learning algorithm
W Luo, J Zhang, P Feng, H Liu, D Yu, Z Wu
Applied Intelligence 51, 3405-3420, 2021
122021
Quantitative identification of driver distraction: A weakly supervised contrastive learning approach
H Yang, H Liu, Z Hu, AT Nguyen, TM Guerra, C Lv
IEEE Transactions on Intelligent Transportation Systems, 2023
112023
Map-adaptive multimodal trajectory prediction using hierarchical graph neural networks
X Mo, Y Xing, H Liu, C Lv
IEEE Robotics and Automation Letters 8 (6), 3685-3692, 2023
112023
Multi-modal hierarchical transformer for occupancy flow field prediction in autonomous driving
H Liu, Z Huang, C Lv
2023 IEEE International Conference on Robotics and Automation (ICRA), 1449-1455, 2023
9*2023
Occupancy prediction-guided neural planner for autonomous driving
H Liu, Z Huang, C Lv
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
52023
PrNet: A Neural Network for Correcting Pseudoranges to Improve Positioning With Android Raw GNSS Measurements
X Weng, KV Ling, H Liu
IEEE Internet of Things Journal, 2024
22024
Map-Adaptive Multimodal Trajectory Prediction via Intention-Aware Unimodal Trajectory Predictors
X Mo, H Liu, Z Huang, X Li, C Lv
IEEE Transactions on Intelligent Transportation Systems, 2023
22023
Hybrid-Prediction Integrated Planning for Autonomous Driving
H Liu, Z Huang, W Huang, H Yang, X Mo, C Lv
arXiv preprint arXiv:2402.02426, 2024
12024
Dynamic Edge Caching via Online Meta-RL
Y Mao, S Zhou, H Liu, Z Wang, W Zhu
2023 International Joint Conference on Neural Networks (IJCNN), 01-10, 2023
12023
Experiment design: Intelligent traffic management system
H Yue, H Mu, H Liu, Y Cai
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA …, 2020
12020
Gameformer planner: A learning-enabled interactive prediction and planning framework for autonomous vehicles
Z Huang, H Liu, X Mo, C Lyu
URL https://opendrivelab. com/e2ead/AD23Challenge/Track_4_AID. pdf, 0
1
Safety-Aware Human-in-the-Loop Reinforcement Learning With Shared Control for Autonomous Driving
W Huang, H Liu, Z Huang, C Lv
IEEE Transactions on Intelligent Transportation Systems, 2024
2024
Scalable Traffic Simulation for Autonomous Driving via Multi-Agent Goal Assignment and Autoregressive Goal-Directed Planning
X Mo, H Liu, Z Huang, J Fang, J Xue, C Lv
2024 IEEE Intelligent Vehicles Symposium (IV), 424-429, 2024
2024
Towards End-to-End GPS Localization with Neural Pseudorange Correction
X Weng, KV Ling, H Liu, K Cao
arXiv preprint arXiv:2401.10685, 2024
2024
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Articles 1–20