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ORCIDXiaojun Wang 0004
Person information
- affiliation: Dalian University, Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, China
- affiliation (PhD 2016): Northeastern University, Shenyang, China
Other persons with the same name
- Xiaojun Wang (aka: Xiao-Jun Wang) — disambiguation page
- Xiaojun Wang 0001
![[0000-0002-4674-7711]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4674-7711")
— Dublin City University, School of Electronic Engineering, Ireland (and 1 more) - Xiaojun Wang 0002 — University of Bristol, Department of Management, UK (and 3 more)
- Xiaojun Wang 0003 — Beihang University, Institute of Solid Mechanics, Beijing, China
- Xiaojun Wang 0005 — Beijing Institute of Technology, School of Computer Science and Technology, China
- Xiaojun Wang 0006 — Palacký University, Olomouc, Czech Republic
- Xiaojun Wang 0007 — Harbin Engineering University, College of Information and Communications Engineering, China
- Xiaojun Wang 0008 — Nanjing Hydraulic Research Institute, China
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2010 – 2019
- 2019
[j8]Xiao-Jun Wang, Yan Liu, Ping Yuan, Changjun Zhou, Lin Zhang:
The Regression Learning of the Imbalanced and Big Data by the Online Mixture Model for the Mach Number Forecasting. IEEE Access 7: 7368-7380 (2019)- [j7]Dong Chen, Xiao-Jun Wang, Changjun Zhou, Bin Wang:
The Distance-Based Balancing Ensemble Method for Data With a High Imbalance Ratio. IEEE Access 7: 68940-68956 (2019) - [c3]Dong Chen, Xiao-Jun Wang, Bin Wang:
A Dynamic Decision-Making Method Based on Ensemble Methods for Complex Unbalanced Data. WISE 2019: 359-372 - 2018
- [j6]Quanyi Zou, Xiao-Jun Wang, Changjun Zhou, Qiang Zhang:
The memory degradation based online sequential extreme learning machine. Neurocomputing 275: 2864-2879 (2018) - [c2]Yue-Yue Shi, Xiao-Jun Wang, Qiang Zhang:
The constrained optimization extreme learning machine based on the hybrid loss function for regression. ICACI 2018: 336-342 - 2017
- [j5]Qiang Zhang, Xiaobiao Wang, Xiaojun Wang, Changjun Zhou:
Solving probability reasoning based on DNA strand displacement and probability modules. Comput. Biol. Chem. 71: 274-279 (2017) - [c1]Weixuan Han, Changjun Zhou, Xiaojun Wang, Qiang Zhang:
The Decoder Based on DNA Strand Displacement with Improved "AND" Gate and "OR" Gate. BIC-TA 2017: 233-247 - 2016
- [j4]Xiaojun Wang, Mingshuang You, Zhizhong Mao, Ping Yuan:
Tree-Structure Ensemble General Regression Neural Networks applied to predict the molten steel temperature in Ladle Furnace. Adv. Eng. Informatics 30(3): 368-375 (2016) - [j3]Xiaojun Wang, Ping Yuan, Zhizhong Mao, Mingshuang You:
Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees. Knowl. Based Syst. 101: 48-59 (2016) - [j2]Xiaojun Wang, Ping Yuan, Zhizhong Mao:
The modified feature subsets ensemble applied for the mach number prediction in wind tunnel. IEEE Trans. Aerosp. Electron. Syst. 52(2): 863-874 (2016) - 2015
- [j1]Xiaojun Wang, Ping Yuan, Zhizhong Mao:
Ensemble fixed-size LS-SVMs applied for the Mach number prediction in transonic wind tunnel. IEEE Trans. Aerosp. Electron. Syst. 51(4): 3167-3181 (2015)
Coauthor Index
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