| 2007 |
|---|
| 9 | EE | Faming Liang:
Use of SVD-based probit transformation in clustering gene expression profiles.
Computational Statistics & Data Analysis 51(12): 6355-6366 (2007) |
| 8 | EE | Faming Liang:
Annealing stochastic approximation Monte Carlo algorithm for neural network training.
Machine Learning 68(3): 201-233 (2007) |
| 7 | EE | Faming Liang,
Naisyin Wang:
Dynamic agglomerative clustering of gene expression profiles.
Pattern Recognition Letters 28(9): 1062-1076 (2007) |
| 2005 |
|---|
| 6 | EE | Faming Liang,
Chuanhai Liu:
Efficient MCMC estimation of discrete distributions.
Computational Statistics & Data Analysis 49(4): 1039-1052 (2005) |
| 5 | EE | Faming Liang:
Evidence Evaluation for Bayesian Neural Networks Using Contour Monte Carlo.
Neural Computation 17(6): 1385-1410 (2005) |
| 4 | EE | Faming Liang:
Bayesian neural networks for nonlinear time series forecasting.
Statistics and Computing 15(1): 13-29 (2005) |
| 2003 |
|---|
| 3 | EE | 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 | EE | 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 | EE | 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 |
