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Xiaoliang Lei
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2020 – today
- 2024
- [j8]Xiaoliang Lei, Xiaosheng Yu, Maocheng Bai, Jingsi Zhang, Chengdong Wu:
Adapting Segment Anything Model for 3D Brain Tumor Segmentation With Missing Modalities. Int. J. Imaging Syst. Technol. 34(5) (2024) - [j7]Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei
:
Libsignal: an open library for traffic signal control. Mach. Learn. 113(8): 5235-5271 (2024) - 2023
- [j6]Jingsi Zhang, Xiaosheng Yu, Xiaoliang Lei, Chengdong Wu:
A Multi-Feature Fusion Model Based on Denoising Convolutional Neural Network and Attention Mechanism for Image Classification. Int. J. Swarm Intell. Res. 14(2): 1-15 (2023) - 2022
- [j5]Jingsi Zhang, Xiaosheng Yu, Xiaoliang Lei, Chengdong Wu:
A novel deep LeNet-5 convolutional neural network model for image recognition. Comput. Sci. Inf. Syst. 19(3): 1463-1480 (2022) - [j4]Jingsi Zhang, Xiaosheng Yu, Xiaoliang Lei, Chengdong Wu:
A novel CapsNet neural network based on MobileNetV2 structure for robot image classification. Frontiers Neurorobotics 16 (2022) - [c1]Xiaoliang Lei, Hao Mei
Modeling Network-level Traffic Flow Transitions on Sparse Data. KDD 2022: 835-845 - [i2]Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei:
Modeling Network-level Traffic Flow Transitions on Sparse Data. CoRR abs/2208.06646 (2022) - [i1]Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei
LibSignal: An Open Library for Traffic Signal Control. CoRR abs/2211.10649 (2022) - 2021
- [j3]Xiaoliang Lei, Xiaosheng Yu, Jianning Chi
Brain tumor segmentation in MR images using a sparse constrained level set algorithm. Expert Syst. Appl. 168: 114262 (2021) - [j2]Jingsi Zhang, Chengdong Wu, Xiaosheng Yu, Xiaoliang Lei:
A Novel DenseNet Generative Adversarial Network for Heterogenous Low-Light Image Enhancement. Frontiers Neurorobotics 15: 700011 (2021)
2010 – 2019
- 2019
- [j1]Lijue Liu, Xiaoliang Lei, Baifan Chen, Lei Shu:
Human Action Recognition Based on Inertial Sensors and Complexity Classification. J. Inf. Technol. Res. 12(1): 18-35 (2019)
Coauthor Index
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last updated on 2024-12-08 01:31 CET by the dblp team
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