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Linfeng Jiang
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2020 – today
- 2024
- [j13]Jiajie Ou, Linfeng Jiang, Ting Bai, Peidong Zhan, Ruihua Liu, Hanguang Xiao:
ResTransUnet: An effective network combined with Transformer and U-Net for liver segmentation in CT scans. Comput. Biol. Medicine 177: 108625 (2024) - [j12]Tianyu Liu, Tao Pei, Zidong Fang, Mingbo Wu, Xiaohan Liu, Xiaorui Yan, Ci Song, Jingyu Jiang, Linfeng Jiang, Jie Chen:
Spatiotemporal mobility network of global scientists, 1970-2020. Int. J. Geogr. Inf. Sci. 38(10): 1991-2018 (2024) - [j11]Linfeng Jiang, Yahao Li, Ting Bai:
DSFPAP-Net: Deeper and Stronger Feature Path Aggregation Pyramid Network for Object Detection in Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [i1]Linfeng Jiang, Yuan Zhu:
Data Smoothing Filling Method based on ScRNA-Seq Data Zero-Value Identification. CoRR abs/2402.09755 (2024) - 2023
- [j10]Linfeng Jiang, Jiajie Ou, Ruihua Liu, Yangyang Zou, Ting Xie, Hanguang Xiao, Ting Bai:
RMAU-Net: Residual Multi-Scale Attention U-Net For liver and tumor segmentation in CT images. Comput. Biol. Medicine 158: 106838 (2023) - [j9]Zidong Fang, Hua Shu, Ci Song, Jie Chen, Xiaohan Liu, Jingyu Jiang, Linfeng Jiang, Tianyu Liu, Tao Pei:
Length-squared L-function for identifying clustering pattern of network-constrained flows. Int. J. Digit. Earth 16(2): 4191-4211 (2023) - [j8]Tongyuan Huang, Jiangxia Chen, Linfeng Jiang:
DS-UNeXt: depthwise separable convolution network with large convolutional kernel for medical image segmentation. Signal Image Video Process. 17(5): 1775-1783 (2023) - [c4]Dun Liu, Wen Shi, Linfeng Jiang, Jiazhi Sun, Changyi Xin:
A Comparative Study of Machine Learning and Deep Learning Models for Weather Image Classification. ICCEIC 2023: 356-365 - 2022
- [c3]Yuhao Huang, Jiarong Xu, Shaomei Fang, Zupeng Zhu, Linfeng Jiang, Xiaoxin Liang:
Parallel Physics-Informed Neural Networks with Bidirectional Balance. ICIAI 2022: 23-30 - 2021
- [j7]Jinsheng Ji, Linfeng Jiang, Tao Zhang, Weilin Zhong, Huilin Xiong:
Adversarial erasing attention for fine-grained image classification. Multim. Tools Appl. 80(15): 22867-22889 (2021) - 2020
- [j6]Jinsheng Ji, Tao Zhang, Linfeng Jiang, Weilin Zhong, Huilin Xiong:
Combining Multilevel Features for Remote Sensing Image Scene Classification With Attention Model. IEEE Geosci. Remote. Sens. Lett. 17(9): 1647-1651 (2020) - [j5]Linfeng Jiang, Jinsheng Ji, Weilin Zhong, Tao Zhang, Huilin Xiong:
Exploiting context based on CNN and coding representations for pedestrian co-detection. Multim. Tools Appl. 79(7-8): 4277-4296 (2020) - [j4]Weilin Zhong, Linfeng Jiang, Tao Zhang, Jinsheng Ji, Huilin Xiong:
A part-based attention network for person re-identification. Multim. Tools Appl. 79(31-32): 22525-22549 (2020)
2010 – 2019
- 2019
- [j3]Weilin Zhong, Linfeng Jiang, Tao Zhang, Jinsheng Ji, Huilin Xiong:
Combining multilevel feature extraction and multi-loss learning for person re-identification. Neurocomputing 334: 68-78 (2019) - [j2]Linfeng Jiang, Weilin Zhong, Jinsheng Ji, Huilin Xiong:
Object codetection based on a higher-order conditional random field. J. Electronic Imaging 28(2): 023019 (2019) - [j1]Weilin Zhong, Tao Zhang, Linfeng Jiang, Jinsheng Ji, Zenghui Zhang, Huilin Xiong:
Discriminative representation learning for person re-identification via multi-loss training. J. Vis. Commun. Image Represent. 62: 267-278 (2019) - [c2]Jinsheng Ji, Tao Zhang, Zhen Yang, Linfeng Jiang, Weilin Zhong, Huilin Xiong:
Aircraft Detection from Remote Sensing Image Based on A Weakly Supervised Attention Model. IGARSS 2019: 322-325 - 2018
- [c1]Weilin Zhong, Linfeng Jiang, Tao Zhang, Jinsheng Ji, Huilin Xiong:
A Multi-part Convolutional Attention Network for Fine-Grained Image Recognition. ICPR 2018: 1857-1862
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