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Jianmin Zhu
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2020 – today
- 2025
- [j13]Zhiwen Huang, Jiajie Shao, Panyu Zhou, Baolin Liu, Jianmin Zhu, Dian-Jun Fang:
Continuous blood pressure monitoring based on transformer encoders and stacked attention gated recurrent units. Biomed. Signal Process. Control. 99: 106860 (2025) - 2024
- [j12]Shimin Liu, Zhiwen Huang, Jianmin Zhu, Baolin Liu, Panyu Zhou:
Continuous blood pressure monitoring using photoplethysmography and electrocardiogram signals by random forest feature selection and GWO-GBRT prediction model. Biomed. Signal Process. Control. 88(Part C): 105354 (2024) - [j11]Li Gao, Yi Liu, Jianmin Zhu, Zhen Yu:
A Cognitively Inspired Multi-granularity Model Incorporating Label Information for Complex Long Text Classification. Cogn. Comput. 16(2): 740-755 (2024) - [j10]Zhiwen Huang, Jiajie Shao, Jianmin Zhu, Wei Zhang, Xiaoru Li:
Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network. J. Intell. Manuf. 35(3): 1079-1105 (2024) - [j9]Chenming Duan, Zhichao Wu, Li Zhu, Xirong Xu, Jianmin Zhu, Ziqi Wei, Xin Yang:
DSTN: Dynamic Spatio-Temporal Network for Early Fault Warning in Chemical Processes. Knowl. Based Syst. 296: 111892 (2024) - 2023
- [j8]Zhiwen Huang, Jiajie Shao, Weicheng Guo, Weidong Li, Jianmin Zhu, Qichao He, Dian-Jun Fang:
Tool Wear Prediction Based on Multi-Information Fusion and Genetic Algorithm-Optimized Gaussian Process Regression in Milling. IEEE Trans. Instrum. Meas. 72: 1-16 (2023) - 2022
- [j7]Mingzheng Yu, Zhiwen Huang, Yidan Zhu, Panyu Zhou, Jianmin Zhu:
Attention-based residual improved U-Net model for continuous blood pressure monitoring by using photoplethysmography signal. Biomed. Signal Process. Control. 75: 103581 (2022) - 2020
- [j6]Jiajie Shao, Zhiwen Huang, Jianmin Zhu:
Transfer Learning Method Based on Adversarial Domain Adaption for Bearing Fault Diagnosis. IEEE Access 8: 119421-119430 (2020) - [j5]Zhiwen Huang, Jianmin Zhu, Jingtao Lei, Xiaoru Li, Fengqing Tian:
Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations. J. Intell. Manuf. 31(4): 953-966 (2020) - [c4]Yan Zhu, Jieling Liu, Cao Guo, Penglei Song, Jiandong Zhang, Jianmin Zhu:
Prediction of Battlefield Target Trajectory Based on LSTM. ICCA 2020: 725-730
2010 – 2019
- 2019
- [j4]Zhiwen Huang, Jianmin Zhu, Jingtao Lei, Xiaoru Li, Fengqing Tian:
Tool Wear Predicting Based on Multisensory Raw Signals Fusion by Reshaped Time Series Convolutional Neural Network in Manufacturing. IEEE Access 7: 178640-178651 (2019) - 2017
- [j3]Hua Li, Linxiu Jiang, Chaoqun Guo, Jianmin Zhu, Yongrong Jiang, Zhencheng Chen:
An Integrated Microfabricated Chip with Double Functions as an Ion Source and Air Pump Based on LIGA Technology. Sensors 17(1): 87 (2017) - 2016
- [j2]Seyed A. Vaghefi, Mohsen A. Jafari, Jianmin Zhu, Jack Brouwer, Yan Lu:
A Hybrid Physics-Based and Data Driven Approach to Optimal Control of Building Cooling/Heating Systems. IEEE Trans Autom. Sci. Eng. 13(2): 600-610 (2016) - 2014
- [j1]Jianmin Zhu, Donger Zhou, Fucai Li, Tingting Fu:
Improved Real Coded Genetic Algorithm and Its Simulation. J. Softw. 9(2): 389-397 (2014) - 2012
- [c3]Rui Liao, Geng Li, Shun Miao, Yan Lu, Jianmin Zhu, Ling Shen:
Weather-clustering based strategy design for dynamic demand response building HVAC control. BuildSys@SenSys 2012: 33-35 - 2011
- [c2]Jingtao Lei, Jianmin Zhu:
Fuzzy Recognition Based on the Total Matching Degree of Multi-features. RVSP 2011: 56-60
2000 – 2009
- 2003
- [c1]Jianmin Zhu, Rong Chen, Guangnan Ni, Yuan Liu:
Component-Based Middleware Platform for Grid Computing. GCC (1) 2003: 716-723
Coauthor Index
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