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Liu Cheng
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2020 – today
- 2024
- [j13]Liu Cheng, Xiangwei Kong, Yongchao Zhang, Yunpeng Zhu, Haochen Qi, Jiqiang Zhang:
A novel causal feature learning-based domain generalization framework for bearing fault diagnosis with a mixture of data from multiple working conditions and machines. Adv. Eng. Informatics 62: 102622 (2024) - [j12]Haochen Qi, Xiangwei Kong, Zinan Wang, Jianyi Gu, Liu Cheng:
AeroClick: An advanced single-click interactive framework for aeroengine defect segmentation. Expert Syst. Appl. 257: 125093 (2024) - [j11]Liu Cheng, Haochen Qi, Rongcai Ma, Xiangwei Kong, Yongchao Zhang, Yunpeng Zhu:
FS-PTL: A unified few-shot partial transfer learning framework for partial cross-domain fault diagnosis under limited data scenarios. Knowl. Based Syst. 305: 112658 (2024) - [j10]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) - [j9]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) - [j8]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) - [j7]Haochen Qi, Xiangwei Kong, Zhitong Liu, Jianyi Gu, Liu Cheng:
SAIT: Harnessing Sparse Annotations and Intrinsic Tasks for Semisupervised Aeroengine Defect Segmentation. IEEE Trans. Ind. Informatics 20(8): 10463-10472 (2024) - 2023
- [j6]Liu Cheng, Shengqiong Luo, Baozhu Li, Ran Liu, Yuan Zhang, Haibo Zhang:
Multiple-instance learning for EEG based OSA event detection. Biomed. Signal Process. Control. 80(Part): 104358 (2023) - [j5]Liu Cheng, Shengqiong Luo, Xinge Yu, Hemant Ghayvat, Haibo Zhang, Yuan Zhang:
EEG-CLNet: Collaborative Learning for Simultaneous Measurement of Sleep Stages and OSA Events Based on Single EEG Signal. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j4]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
- [j3]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) - [c4]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 - [c3]Kaipeng Zheng, Liu Cheng, Jie Shen:
Dynamic Relation-Aware Multiple Instance Learning for Few-Shot Learning. IJCNN 2022: 1-6
2010 – 2019
- 2018
- [j2]Ming Jiang, Liu Cheng, Feiwei Qin, Lian Du, Min Zhang:
White Blood Cells Classification with Deep Convolutional Neural Networks. Int. J. Pattern Recognit. Artif. Intell. 32(9): 1857006:1-1857006:19 (2018) - 2014
- [c2]Khikmatullo Kudratov, Liu Cheng:
A Research on Expatriate Cross- Cultural Adjustment and Job Performance in MNCs. ICITCS 2014: 1-4 - 2011
- [c1]Liu Cheng:
Study on the meticulous management mode in shaanxi local construction enterprises based on ERP. EMEIT 2011: 2666-2670 - 2010
- [j1]Bing He, Liu Cheng:
A Quad Tree Based Self-collision Detection Method for Cloth Simulation. J. Comput. 5(7): 1070-1077 (2010)
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