| 2014 | CSCWD | Computer-supported methodologies to estimate the eave effect on building energy consumption. | Wheyming Tina Song, Zih-Yi Wu, Grace Lin |
| 2010 | WSC | Simulation input models: Relationships among eighty univariate distributions displayed in a matrix format. | Wheyming Tina Song, Yi-chun Chen |
| 2009 | WSC | Omitting Meaningless Digits: Analyzing LDR(1), The Standard Leading-digit Rule. | Wheyming Tina Song, Bruce W. Schmeiser |
| 2008 | WSC | A simulation study on the impact of physician starting time in a physical examination service. | Wheyming Tina Song, Aaron E. Bair, Mingchang Chih |
| 2008 | WSC | Implementable MSE-optimal dynamic partial-overlapping batch means estimators for steady-state simulations. | Wheyming Tina Song, Mingchang Chih |
| 2008 | WSC | Displaying statistical point estimators: The leading-digit procedure. | Wheyming Tina Song, Bruce W. Schmeiser |
| 2005 | WSC | Importance sampling techniques for estimating the bit error rate in digital communication systems. | Wheyming Tina Song, Wenchi Chiu, David Goldsman |
| 2001 | SIGMETRICS | On the performance of multiplexing independent regulated inputs. | Cheng-Shang Chang, Yuh-Ming Chiu, Wheyming Tina Song |
| 1997 | WSC | Optimal Quadratic-Form Estimator of the Variance of the Sample Mean. | Wheyming Tina Song, Neng-Hui Shih, Mingjian Yuan |
| 1996 | WSC | Batching Methods in Simulation Output Analysis: What We Know and What We Don't. | Bruce W. Schmeiser, Wheyming Tina Song |
| 1995 | WSC | Designing Pseudo-Random Number Assignment Strategies for Simulation Experiments. | Wheyming Tina Song, Chien-Chou Su |
| 1993 | WSC | Generation of autocorrelated random variables with a specified marginal distribution. | Wheyming Tina Song, Li-Ching Hsiao |
| 1989 | WSC | Inverse-transformation algorithms for some common stochastic processes. | Bruce W. Schmeiser, Wheyming Tina Song |
| 1988 | WSC | Minimal-MSE linear combinations of variance estimators of the sample mean. | Wheyming Tina Song, Bruce W. Schmeiser |
| 1987 | WSC | Correlation among estimators of the variance of the sample mean. | Bruce W. Schmeiser, Wheyming Tina Song |