Faming Liang

	2011
18		Sooyoung Cheon, Faming Liang: Folding small proteins via annealing stochastic approximation Monte Carlo. Biosystems 105(3): 243-249 (2011)
17		Faming Liang: Annealing evolutionary stochastic approximation Monte Carlo for global optimization. Statistics and Computing 21(3): 375-393 (2011)
	2010
16		Qianxing Mo, Faming Liang: A hidden Ising model for ChIP-chip data analysis. Bioinformatics 26(6): 777-783 (2010)
15		G. P. Zhang, C. A. Hill, Yusen Xia, Faming Liang: Modeling the Relationship Between EDI Implementation and Firm Performance Improvement With Neural Networks. IEEE T. Automation Science and Engineering 7(1): 96-110 (2010)
	2009
14		Faming Liang: Stochastic Approximation Monte Carlo for MLP Learning. Encyclopedia of Artificial Intelligence 2009: 1482-1489
13		Mingqi Wu, Faming Liang, Yanan Tian: Bayesian modeling of ChIP-chip data using latent variables. BMC Bioinformatics 10: 352 (2009)
12		Faming Liang, Jian Zhang: Learning Bayesian networks for discrete data. Computational Statistics & Data Analysis 53(4): 865-876 (2009)
	2008
11		Sooyoung Cheon, Faming Liang: Phylogenetic tree construction using sequential stochastic approximation Monte Carlo. Biosystems 91(1): 94-107 (2008)
10		Yuan Ren, Yu Ding, Faming Liang: Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems. Statistics and Computing 18(4): 375-390 (2008)
	2007
9		Faming Liang: Use of SVD-based probit transformation in clustering gene expression profiles. Computational Statistics & Data Analysis 51(12): 6355-6366 (2007)
8		Faming Liang: Annealing stochastic approximation Monte Carlo algorithm for neural network training. Machine Learning 68(3): 201-233 (2007)
7		Faming Liang, Naisyin Wang: Dynamic agglomerative clustering of gene expression profiles. Pattern Recognition Letters 28(9): 1062-1076 (2007)
	2005
6		Faming Liang, Chuanhai Liu: Efficient MCMC estimation of discrete distributions. Computational Statistics & Data Analysis 49(4): 1039-1052 (2005)
5		Faming Liang: Evidence Evaluation for Bayesian Neural Networks Using Contour Monte Carlo. Neural Computation 17(6): 1385-1410 (2005)
4		Faming Liang: Bayesian neural networks for nonlinear time series forecasting. Statistics and Computing 15(1): 13-29 (2005)
	2003
3		Faming Liang: An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine. Neural Computation 15(8): 1959-1989 (2003)
	2000
2		Jason Cong, Tianming Kong, Faming Liang, Jun S. Liu, Wing Hung Wong, Dongmin Xu: Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application. ASP-DAC 2000: 277-282
	1999
1		Jason Cong, Tianming Kong, Dongmin Xu, Faming Liang, Jun S. Liu, Wing Hung Wong: Relaxed Simulated Tempering for VLSI Floorplan Designs. ASP-DAC 1999: 13-16

Coauthor Index

1	Sooyoung Cheon	[11] [18]
2	Jason Cong	[1] [2]
3	Yu Ding	[10]
4	C. A. Hill	[15]
5	Tianming Kong	[1] [2]
6	Chuanhai Liu	[6]
7	Jun S. Liu	[1] [2]
8	Qianxing Mo	[16]
9	Yuan Ren	[10]
10	Yanan Tian	[13]
11	Naisyin Wang	[7]
12	Wing Hung Wong	[1] [2]
13	Mingqi Wu	[13]
14	Yusen Xia	[15]
15	Dongmin Xu	[1] [2]
16	G. P. Zhang	[15]
17	Jian Zhang	[12]

Colors in the list of coauthors

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