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Huihui He
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2020 – today
- 2023
- [j11]Zong Meng
, Huihui He
A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery. Expert Syst. Appl. 234: 121058 (2023) - 2022
- [j10]Qin Li, Huihui He, Hong Lai, Tie Cai, Qianqian Wang, Quanxue Gao
Enhanced nuclear norm based matrix regression for occluded face recognition. Pattern Recognit. 126: 108585 (2022) - 2021
- [j9]Kang Yang, Rui Wang
Multi-supply multi-capacitated p-median location optimization via a hybrid bi-level intelligent algorithm. Comput. Ind. Eng. 160: 107584 (2021) - [c3]Yixian Yang, Li Guo, Xialin Li, Jiaxin Li, Wei Liu, Huihui He:
A Data-Driven Detection strategy of False Data in Cooperative DC Microgrids. IECON 2021: 1-6
2010 – 2019
- 2019
- [j8]De-Yan Xie
Multi-View Classification via Adaptive Discriminant Analysis. IEEE Access 7: 36702-36709 (2019) - [j7]Zhijian Wang
Application of Parameter Optimized Variational Mode Decomposition Method in Fault Diagnosis of Gearbox. IEEE Access 7: 44871-44882 (2019) - [j6]Zhijian Wang
Application Research of a Novel Enhanced SSD Method in Composite Fault Diagnosis of Wind Power Gearbox. IEEE Access 7: 154986-155001 (2019) - [j5]Zhijian Wang
Application of an Improved Ensemble Local Mean Decomposition Method for Gearbox Composite Fault Diagnosis. Complex. 2019: 1564243:1-1564243:17 (2019) - [j4]Jie Zhou
Research on Fault Extraction Method of Variational Mode Decomposition Based on Immunized Fruit Fly Optimization Algorithm. Entropy 21(4): 400 (2019) - [j3]Junyuan Wang, Xiaofeng Han, Zhijian Wang, Wenhua Du, Jie Zhou, Jiping Zhang, Huihui He, Xiaoming Guo:
Modified Singular Spectrum Decomposition and Its Application to Composite Fault Diagnosis of Gearboxes. Sensors 19(1): 62 (2019) - [j2]Huihui He, Weiying Lu
High-Throughput Chemometric Quality Assessment of Extra Virgin Olive Oils Using a Microtiter Plate Reader. Sensors 19(19): 4169 (2019) - [c2]Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia:
From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. AAAI 2019: 6343-6350 - [i2]Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia:
From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. CoRR abs/1906.01230 (2019) - 2018
- [c1]Huihui He, Rui Xia:
Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification. NLPCC (1) 2018: 250-259 - [i1]Huihui He, Rui Xia:
Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification. CoRR abs/1802.00891 (2018) - 2017
- [j1]Rui Xia, Jie Jiang, Huihui He:
Distantly Supervised Lifelong Learning for Large-Scale Social Media Sentiment Analysis. IEEE Trans. Affect. Comput. 8(4): 480-491 (2017)
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