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Xuemin Hu
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2020 – today
- 2024
- [j15]Xuemin Hu, Dan Xiong
, Li Chai:
Concept factorization with adaptive graph learning on Stiefel manifold. Appl. Intell. 54(17-18): 8224-8240 (2024) - [j14]Xuemin Hu, Dan Xiong
Robust sparse concept factorization with graph regularization for subspace learning. Digit. Signal Process. 150: 104527 (2024) - [j13]Xuemin Hu
Robust multi-view clustering via structure regularization concept factorization. Digit. Signal Process. 155: 104713 (2024) - [j12]Xuemin Hu
How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence. IEEE Trans. Intell. Veh. 9(1): 593-612 (2024) - [i5]Xuemin Hu, Pan Chen, Yijun Wen, Bo Tang, Long Chen:
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving. CoRR abs/2403.18209 (2024) - [i4]Xuemin Hu, Shen Li, Yingfen Xu, Bo Tang, Long Chen:
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning. CoRR abs/2406.09089 (2024) - 2023
- [j11]Xuemin Hu
Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 24(11): 11921-11933 (2023) - [j10]Siyu Teng
Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving. IEEE Trans. Intell. Veh. 8(1): 673-683 (2023) - [j9]Siyu Teng
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives. IEEE Trans. Intell. Veh. 8(6): 3692-3711 (2023) - [i3]Siyu Teng, Xuemin Hu, Peng Deng, Bai Li, Yuchen Li, Dongsheng Yang, Yunfeng Ai, Lingxi Li, Long Chen, Zhe Xuanyuan, Fenghua Zhu:
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives. CoRR abs/2303.09824 (2023) - [i2]Xuemin Hu, Shen Li, Tingyu Huang, Bo Tang, Long Chen:
Sim2real and Digital Twins in Autonomous Driving: A Survey. CoRR abs/2305.01263 (2023) - [i1]Siyu Teng, Luxi Li, Yuchen Li, Xuemin Hu, Lingxi Li
FusionPlanner: A Multi-task Motion Planner for Mining Trucks using Multi-sensor Fusion Method. CoRR abs/2308.06931 (2023) - 2022
- [j8]Long Chen
Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(4): 2966-2977 (2022) - 2021
- [j7]Xuemin Hu
Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 22(12): 7585-7596 (2021)
2010 – 2019
- 2019
- [j6]Long Chen, Xuemin Hu, Wei Tian
Parallel planning: a new motion planning framework for autonomous driving. IEEE CAA J. Autom. Sinica 6(1): 236-246 (2019) - [j5]Long Chen, Xuemin Hu
Parallel Motion Planning: Learning a Deep Planning Model against Emergencies. IEEE Intell. Transp. Syst. Mag. 11(1): 36-41 (2019) - 2018
- [c2]Sheng Song, Xuemin Hu, Jin Yu, Liyun Bai, Long Chen:
Learning a Deep Motion Planning Model for Autonomous Driving. Intelligent Vehicles Symposium 2018: 1137-1142 - 2017
- [j4]Long Chen
Turn Signal Detection During Nighttime by CNN Detector and Perceptual Hashing Tracking. IEEE Trans. Intell. Transp. Syst. 18(12): 3303-3314 (2017) - [c1]Zhiqiang Wan, Xuemin Hu, Haibo He, Yi Guo
A learning based approach for social force model parameter estimation. IJCNN 2017: 4058-4064 - 2016
- [j3]Weihua Cao, Xuemin Hu, Min Wu, Wei Yin:
A Self-Tuning PID Control System Based on Control Performance Assessment. J. Adv. Comput. Intell. Intell. Informatics 20(2): 271-278 (2016) - 2015
- [j2]Yong Cui, Qiusheng Wang, Haiwen Yuan, Xiao Song, Xuemin Hu, Luxing Zhao:
Relative Localization in Wireless Sensor Networks for Measurement of Electric Fields under HVDC Transmission Lines. Sensors 15(2): 3540-3564 (2015) - 2012
- [j1]Xiaoshu Si, Hong Zheng, Xuemin Hu:
Fabric Defect Detection Based on Regional Growing PCNN. J. Multim. 7(5): 372-379 (2012)
Coauthor Index
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