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Haixin Wang 0004
Person information
- affiliation: Fort Valley State University, Fort Valley, GA, USA
Other persons with the same name
- Haixin Wang — disambiguation page
- Haixin Wang 0001 — Hong Kong Baptist University, Hong Kong
- Haixin Wang 0002 — Shenyang University of Technology, Shenyang, China
- Haixin Wang 0003 — Peking University, Beijing, China
- Haixin Wang 0005 — Nanjing University of Aeronautics and Astronautics, College of Mechanical and Electrical Engineering, China
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2020 – today
- 2023
- [c8]Haixin Wang, Chunxian Chen:
Estimation of Physical Characteristics of Peach Leaves Using K-means Clustering in the L*a*b* Color Space. ICCPR 2023: 475-482
2010 – 2019
- 2017
- [c7]Haixin Wang, Dawit Aberra:
Similarity evaluation on noisy time series gene expression data using particle filter and longest common subsequence. ICNC-FSKD 2017: 2054-2059 - 2016
- [c6]Haixin Wang, Dawit Aberra:
Noisy Nonlinear Gene Regulatory Networks Analysis Using Ensemble Kalman Filter Based Particle Filter without a Model. CSBio 2016: 8-13 - 2011
- [c5]Haixin Wang, James E. Glover:
Noise analysis of time series data in gene regulatory networks. BMEI 2011: 1848-1852 - 2010
- [c4]Haixin Wang, James E. Glover, Lijun Qian:
A comparative study of the time-series data for inference of gene regulatory networks using B-Spline. CIBCB 2010: 1-5
2000 – 2009
- 2009
- [c3]Haixin Wang, Lijun Qian, Edward R. Dougherty:
Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations. CIBCB 2009: 182-185 - 2008
- [j1]Lijun Qian, Haixin Wang, Edward R. Dougherty:
Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering. IEEE Trans. Signal Process. 56(7-2): 3327-3339 (2008) - 2007
- [c2]Haixin Wang, Lijun Qian, Edward R. Dougherty:
Inference of Gene Regulatory Networks using S-System: A Unified Approach. CIBCB 2007: 82-89 - [c1]Haixin Wang, Lijun Qian, Edward R. Dougherty:
Modeling Genetic Regulatory Networks by Sigmoidal Functions: A Joint Genetic Algorithm and Kalman Filtering Approach. ICNC (2) 2007: 324-328
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