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2020 – today
- 2023
[c9]Rui Li, Yuhang Li, Yafei Wang
, Ruitao Zhang, Xulei Liu:
DynamicRemover: Constructing Static Map with Object Dynamic Probability Analysis. ITSC 2023: 1884-1889- [c8]Weibang Chen, Yafei Wang, Xulei Liu:
NEAR: Noise-Aware Temporal Encoder and Adaptive Recurrent Interaction for Motion Forecasting. ITSC 2023: 2971-2976 - 2022
- [j2]Xulei Liu, Yafei Wang, Kun Jiang, Zhisong Zhou, Kanghyun Nam, Chengliang Yin:
Interactive Trajectory Prediction Using a Driving Risk Map-Integrated Deep Learning Method for Surrounding Vehicles on Highways. IEEE Trans. Intell. Transp. Syst. 23(10): 19076-19087 (2022) - [c7]Shengjie Wu, Yafei Wang, Xulei Liu, Jing Hu:
ATDS: Adaptive Temporal and Dual Spatial Encoders for Motion Forecasting. ITSC 2022: 434-439 - [c6]Zhikai Chen, Yafei Wang, Xulei Liu, Xinchang Wang:
FS-GRU: Continuous Perception and Prediction with inter Frame Feature Sharing. ITSC 2022: 517-522 - 2021
- [j1]Xulei Liu, Yafei Wang, Zhisong Zhou, Kanghyun Nam, Chongfeng Wei, Chengliang Yin:
Trajectory Prediction of Preceding Target Vehicles Based on Lane Crossing and Final Points Generation Model Considering Driving Styles. IEEE Trans. Veh. Technol. 70(9): 8720-8730 (2021) - [c5]Xulei Liu, Ge Jin, Yafei Wang, Chengliang Yin:
A Deep Learning-based Approach to Line Crossing Prediction for Lane Change Maneuver of Adjacent Target Vehicles. ICM 2021: 1-6 - [c4]Zhicheng Zhang, Yafei Wang, Xulei Liu:
TAPNet: Enhancing Trajectory Prediction with Auxiliary Past Learning Task. IV 2021: 421-426 - 2020
- [c3]Taiyuan Ma, Yafei Wang, Zili Wang, Xulei Liu, Huimin Zhang:
ASD-SLAM: A Novel Adaptive-Scale Descriptor Learning for Visual SLAM. IV 2020: 809-816
2010 – 2019
- 2019
- [c2]Jonathan Folmsbee, Starr Johnson, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle:
Fragile neural networks: the importance of image standardization for deep learning in digital pathology. Medical Imaging: Digital Pathology 2019: 1095613 - 2018
- [c1]Jonathan Folmsbee, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle:
Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer. ISBI 2018: 770-773
Coauthor Index
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