Inference of Gene Regulatory Networks using S-System: A Unified Approach. - Haixin Wang 004; Lijun Qian; Edward R. Dougherty (CIBCB, 2007)

Modeling Genetic Regulatory Networks by Sigmoidal Functions: A Joint Genetic Algorithm and Kalman Filtering Approach. - Haixin Wang 004; Lijun Qian; Edward R. Dougherty (ICNC (2), 2007)

Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering. - Lijun Qian; Haixin Wang 004; Edward R. Dougherty (IEEE Trans. Signal Process., 2008)

Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations. - Haixin Wang 004; Lijun Qian; Edward R. Dougherty (CIBCB, 2009)

A comparative study of the time-series data for inference of gene regulatory networks using B-Spline. - Haixin Wang 004; James E. Glover; Lijun Qian (CIBCB, 2010)

Noise analysis of time series data in gene regulatory networks. - Haixin Wang 004; James E. Glover (BMEI, 2011)

Noisy Nonlinear Gene Regulatory Networks Analysis Using Ensemble Kalman Filter Based Particle Filter without a Model. - Haixin Wang 004; Dawit Aberra (CSBio, 2016)

Similarity evaluation on noisy time series gene expression data using particle filter and longest common subsequence. - Haixin Wang 004; Dawit Aberra (ICNC-FSKD, 2017)

Estimation of Physical Characteristics of Peach Leaves Using K-means Clustering in the L*a*b* Color Space. - Haixin Wang 004; Chunxian Chen (ICCPR, 2023)