Huanwen Tang

14 papers Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2006 J jnl
An improved simulated annealing for solving the linear constrained optimization problems.
Appl. Math. Comput.
Mingjun Ji, Zhihong Jin, Huanwen Tang
2006 J jnl
Research on non-linear input-output model based on production function theory and a new method to update IO coefficients matrix.
Appl. Math. Comput.
Narisa Zhao, Huanwen Tang, Xiaona Luo
2005 J jnl
A fast fixed-point algorithm for complexity pursuit.
Neurocomputing
Zhenwei Shi, Huanwen Tang, Yiyuan Tang
2005 J jnl
Blind source separation of more sources than mixtures using sparse mixture models.
Pattern Recognit. Lett.
Zhenwei Shi, Huanwen Tang, Yiyuan Tang
2005 J jnl
Prediction of Protein Subcellular Locations Using a New Measure of Information Discrepancy.
J. Bioinform. Comput. Biol.
Lixia Jin, Huanwen Tang, Weiwu Fang
2004 — conf
A Clustering Approach for Blind Source Separation with More Sources than Mixtures.
ISNN (1)
Zhenwei Shi, Huanwen Tang, Yiyuan Tang
2004 J jnl
A new fixed-point algorithm for independent component analysis.
Neurocomputing
Zhenwei Shi, Huanwen Tang, Yiyuan Tang
2004 J jnl
A single-point mutation evolutionary programming.
Inf. Process. Lett.
Mingjun Ji, Huanwen Tang, Juan Guo
2004 J jnl
Accurate Classification of Homodimeric vs Other Homooligomeric Proteins Using a New Measure of Information Discrepancy.
J. Chem. Inf. Model.
Jie Song, Huanwen Tang
2004 J jnl
An EM algorithm for learning sparse and overcomplete representations.
Neurocomputing
Mingjun Zhong, Huanwen Tang, Hongjun Chen, Yiyuan Tang
2004 J jnl
Blind source separation of more sources than mixtures using generalized exponential mixture models.
Neurocomputing
Zhenwei Shi, Huanwen Tang, Wenyu Liu, Yiyuan Tang
2004 J jnl
Expectation-Maximization approaches to independent component analysis.
Neurocomputing
Mingjun Zhong, Huanwen Tang, Yiyuan Tang
2004 J jnl
Global optimizations and tabu search based on memory.
Appl. Math. Comput.
Mingjun Ji, Huanwen Tang
2003 J jnl
Prediction of protein structural classes by a new measure of information discrepancy.
Comput. Biol. Chem.
Lixia Jin, Weiwu Fang, Huanwen Tang