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ORCIDJiawei Wang 0021
Person information
- affiliation: University of Science and Technology of China-City University of Hong Kong Joint Advanced Research Centre, Department of Information Systems, Suzhou, China
Other persons with the same name
- Jiawei Wang (aka: Jia-Wei Wang, Jia Wei Wang) — disambiguation page
- Jiawei Wang 0001
![[0000-0002-8844-4612]](/web/20180317132104*/https://developer.android.com/reference/java/sql/package-https-dblp.org/img/orcid-mark.12x12.png "0000-0002-8844-4612")
— University of Michigan, Michigan Traffic Lab, Department of Civil and Environmental Engineering, MI, USA (and 1 more) - Jiawei Wang 0002 — University of Cambridge, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK (and 1 more)
- Jiawei Wang 0003 — Monash University, Faculty of Information Technology, Melbourne, Australia
- Jiawei Wang 0004 — Tsinghua University, School of Integrated Circuits, Beijing, China
- Jiawei Wang 0005 — McGill University, Department of Civil Engineering, Montreal, Canada
- Jiawei Wang 0006 — Zhejiang A & F University, Jiyang College, Zhuji, China
- Jiawei Wang 0007 — Chongqing University of Posts and Telecommunications, School of Advanced Manufacturing Engineering, Chongqing, China
- Jiawei Wang 0008 — Jilin University, College of Electronic Science and Engineering, State Key Laboratory on Integrated Optoelectronics, Changchun, China
- Jiawei Wang 0009 (aka: Jia Wei Wang 0009) — Southeast University, State Key Laboratory of Millimeter Waves, Nanjing, China
- Jiawei Wang 0010 — University of California, Department of Mathematics, Davis, CA, USA
- Jiawei Wang 0011 — Zhejiang University, School of Software Technology, Hangzhou, China
- Jiawei Wang 0012 — Tsinghua University, Department of Electronic Engineering, Beijing, China (and 1 more)
- Jiawei Wang 0013 — Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun, China (and 1 more)
- Jiawei Wang 0014 — Nanjing University, School of Electronic Science and Engineering, Nanjing, China
- Jiawei Wang 0015 — Technical University of Denmark, Department of Wind and Energy Systems, Lyngby, Denmark (and 1 more)
- Jiawei Wang 0016 — North China Electric Power University, State Key Laboratory of Alternate Electrical Power System With Renewable Energy Source, Beijing, China
- Jiawei Wang 0017 — Xi'an Jiaotong University, School of Electrical Engineering, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an, China
- Jiawei Wang 0018 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA (and 1 more)
- Jiawei Wang 0019 — Jiangsu University, Department of Automotive and Traffic Engineering, Zhenjiang, China
- Jiawei Wang 0020 — Wuhan University, School of Computer Science, Wuhan, China
- Jiawei Wang 0022 — Beijing Institute of Technology, China
- Jiawei Wang 0023 — Shenzhen University, College of Physics and Energy, Shenzhen, China
- Jiawei Wang 0024 — Jilin University, State Key Laboratory of Automotive Dynamic Simulation and Control, Changchun, China
- Jiawei Wang 0025 — Hunan University, China (and 2 more)
- Jiawei Wang 0026 — University of Science and Technology of China, USTC, Department of EEIS, Hefei, China (and 1 more)
Other persons with a similar name
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2010 – 2019
- 2013
[j1]Jiawei Wang, Xin Li, Stephen Shaoyi Liao, Zhongsheng Hua:
A Hybrid Approach for Automatic Incident Detection. IEEE Trans. Intell. Transp. Syst. 14(3): 1176-1185 (2013)- [c3]Jimmy S. J. Ren, Wei Wang, Jiawei Wang, Stephen S. Y. Liao:
Exploring the Contribution of Unlabeled Data in Financial Sentiment Analysis. AAAI 2013: 1149-1155 - [i2]Jimmy S. J. Ren, Wei Wang, Jiawei Wang, Stephen Shaoyi Liao:
Exploring The Contribution of Unlabeled Data in Financial Sentiment Analysis. CoRR abs/1308.0658 (2013) - [i1]Jimmy S. J. Ren, Wei Wang, Jiawei Wang, Stephen Shaoyi Liao:
An Unsupervised Feature Learning Approach to Improve Automatic Incident Detection. CoRR abs/1310.7795 (2013) - 2012
- [c2]Jiawei Wang, Jimmy S. J. Ren, Wei Wang, Xin Li, Qiudan Li, Stephen Shaoyi Liao:
When Multivariate Forecasting Meets Unsupervised Feature Learning - Towards a Novel Anomaly Detection Framework for Decision Support. ICIS 2012 - [c1]Jimmy S. J. Ren, Wei Wang, Jiawei Wang, Stephen Shaoyi Liao:
An unsupervised feature learning approach to improve automatic incident detection. ITSC 2012: 172-177
Coauthor Index
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