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Xiangwei Kong

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Liu Cheng

> Home > Persons > Xiangwei Kong

Publications

2024
[j66]
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  dblp key:
  - journals/sensors/ShenKCWZ24
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  - https://dblp.org/rec/journals/sensors/ShenKCWZ24
Zhunan Shen, Xiangwei Kong, Liu Cheng, Rengen Wang, Yunpeng Zhu:
Fault Diagnosis of the Rolling Bearing by a Multi-Task Deep Learning Method Based on a Classifier Generative Adversarial Network. Sensors 24(4): 1290 (2024)
[j65]
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  - journals/tgrs/QiKCHG24
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  - https://dblp.org/rec/journals/tgrs/QiKCHG24
Haochen Qi, Xiangwei Kong, Liu Cheng, Jiexin Hu, Jianyi Gu:
Addressing Fine-Grained Lake Water Body Extraction: A Hybrid Approach Combining Vision Transformer and Geodesic Active Contour. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)
[j64]
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  - journals/tii/QiCKZG24
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  - https://dblp.org/rec/journals/tii/QiCKZG24
Haochen Qi, Liu Cheng, Xiangwei Kong, Jiqiang Zhang, Jianyi Gu:
WDLS: Deep Level Set Learning for Weakly Supervised Aeroengine Defect Segmentation. IEEE Trans. Ind. Informatics 20(1): 303-313 (2024)
2023
[j62]
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  dblp key:
  - journals/tim/ChengWQKZY23
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  - https://dblp.org/rec/journals/tim/ChengWQKZY23
Liu Cheng, Rengen Wang, Haochen Qi, Xiangwei Kong, Jiqiang Zhang, Mingzhu Yu:
S3M: Two-Stage-Based Semi-Self-Supervised Method for Intelligent Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-15 (2023)
2022
[j59]
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  - journals/tim/ChengKZY22
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  - https://dblp.org/rec/journals/tim/ChengKZY22
Liu Cheng, Xiangwei Kong, Jiqiang Zhang, Mingzhu Yu:
A Novel Adversarial One-Shot Cross-Domain Network for Machinery Fault Diagnosis With Limited Source Data. IEEE Trans. Instrum. Meas. 71: 1-17 (2022)
[c77]
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  dblp key:
  - conf/aiss/QiJZCK22
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  - https://dblp.org/rec/conf/aiss/QiJZCK22
Haochen Qi, Huiyan Ji, Jiqiang Zhang, Liu Cheng, Xiangwei Kong:
Defect Classification Method of X-ray Images Based on Improved U-Net. AISS 2022: 38:1-38:7

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