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Mei Yuan
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2020 – today
- 2024
- [j7]Chenglong Wang, Yun Liu, Fen Wang, Chengxiu Zhang, Yida Wang, Mei Yuan, Guang Yang:
Towards reliable and explainable AI model for pulmonary nodule diagnosis. Biomed. Signal Process. Control. 88(Part B): 105646 (2024) - [j6]Ziang Liu, Ye Yuan, Cui Zhang, Quan Zhu, Xinfeng Xu, Mei Yuan, Wenjun Tan:
Hierarchical classification of early microscopic lung nodule based on cascade network. Health Inf. Sci. Syst. 12(1): 13 (2024) - [j5]Jian Shang, Zhixiong Wang, Fangli Dou, Mei Yuan, Honggang Yin, Lixia Liu, Yitong Wang, Xiuqing Hu, Peng Zhang:
Preliminary Performance of the WindRAD Scatterometer Onboard the FY-3E Meteorological Satellite. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [c9]Weiying Xie, Mei Yuan, Jitao Ma, Yunsong Li:
Adaptive Pruning of Channel Spatial Dependability in Convolutional Neural Networks. ACM Multimedia 2024: 6073-6082 - [i3]Chenglong Wang, Yinqiao Yi, Yida Wang, Chengxiu Zhang, Yun Liu, Kensaku Mori, Mei Yuan, Guang Yang:
ContrastDiagnosis: Enhancing Interpretability in Lung Nodule Diagnosis Using Contrastive Learning. CoRR abs/2403.05280 (2024) - 2023
- [c8]Shengguang Wu, Mei Yuan, Qi Su:
DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models. EMNLP (Findings) 2023: 1885-1896 - [i2]Shengguang Wu, Mei Yuan, Qi Su:
DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models. CoRR abs/2312.07066 (2023) - 2022
- [j4]Shuaijie Mei, Mei Yuan, Jin Cui, Shaopeng Dong, Juanru Zhao:
Machinery condition monitoring in the era of industry 4.0: A relative degree of contribution feature selection and deep residual network combined approach. Comput. Ind. Eng. 168: 108129 (2022) - [c7]Juanru Zhao, Mei Yuan, Jin Cui, Shaopeng Dong, Yufeng Qu, Ben Xu:
A Small-sample Intelligent Fault Diagnosis Method Based on Deep Transfer Learning. DSIT 2022: 1-6 - [c6]Wenkai Zheng, Mei Yuan:
A Person Re-identification Approach Focusing on the Occlusion Problem and Ranking Optimization. MMSports@MM 2022: 121-127 - [i1]Chenglong Wang, Yun Liu, Fen Wang, Chengxiu Zhang, Yida Wang, Mei Yuan, Guang Yang:
Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis. CoRR abs/2204.04219 (2022)
2010 – 2019
- 2019
- [c5]Nengzeng Long, Mei Yuan, Guanliang Wang:
Application of FOA-RF model in prediction of coal and gas outburst intensity. RICAI 2019: 379-383 - [c4]Xinling Li, Mei Yuan, He Yu:
Prediction of coal and gas outburst grade based on factor analysis and SVM model. RICAI 2019: 493-497 - 2018
- [j3]Le Wang, Jianxiang Xi, Mei Yuan, Guangbin Liu:
Guaranteed-Performance Time-Varying Formation Control for Swarm Systems Subjected to Communication Constraints. IEEE Access 6: 45384-45393 (2018) - [j2]Yuting Wu, Mei Yuan, Shaopeng Dong, Li Lin, Yingqi Liu:
Remaining useful life estimation of engineered systems using vanilla LSTM neural networks. Neurocomputing 275: 167-179 (2018) - [j1]Shaopeng Dong, Mei Yuan, Qiusheng Wang, Zhiling Liang:
A Modified Empirical Wavelet Transform for Acoustic Emission Signal Decomposition in Structural Health Monitoring. Sensors 18(5): 1645 (2018) - 2013
- [c3]Liang Yan, Fengqi Liang, Mei Yuan, Hongjie Hu, Chin-Yin Chen, I-Ming Chen:
Analysis of novel three-dimensional pole arrays for electromagnetic spherical actuators. AIM 2013: 780-785 - 2012
- [c2]Chong Du, Weihai Chen, Yunjie Wu, Wenjie Chen, Mei Yuan:
Design of an aerostatic imprint head with off-plane alignment functionality for nanoimprint lithography. ROBIO 2012: 999-1004
2000 – 2009
- 2009
- [c1]Jinghua Huang, Zhenchong Wang, Mei Yuan, Youwen Bao:
Meteorological Data Analyze Base on K-means Algorithm. ISCID (2) 2009: 60-63
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