| 2014 | SIGGRAPH | Parallel coordinates are better than they... look! | Alfred Inselberg, Pei Ling Lai |
| 2012 | DATA | Geometric Divide and Conquer Classification for High-dimensional Data. | Pei Ling Lai, Yang Jin Liang, Alfred Inselberg |
| 2008 | ICONIP | Bregman Divergences and Multi-dimensional Scaling. | Pei Ling Lai, Colin Fyfe |
| 2008 | IJCNN | A topology preserving mapping for face recognition. | Colin Fyfe, Tseng Wen-Ching, Wu Chia-Ti, Chien Shih-Yu, Pei Ling Lai |
| 2007 | ESANN | Immediate Reward Reinforcement Learning for Projective Kernel Methods. | Colin Fyfe, Pei Ling Lai |
| 2007 | ICANN | Stochastic Weights Reinforcement Learning for Exploratory Data Analysis. | Ying Wu, Colin Fyfe, Pei Ling Lai |
| 2007 | IJCNN | Reinforcement Learning for Topographic Mappings. | Pei Ling Lai, Colin Fyfe |
| 2007 | ISNN | Reinforcement Learning Reward Functions for Unsupervised Learning. | Colin Fyfe, Pei Ling Lai |
| 2006 | ICANN | The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis. | Pei Ling Lai, Gayle Leen, Colin Fyfe |
| 2006 | IJCNN | A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation. | Pei Ling Lai, Colin Fyfe |
| 2006 | IJCNN | A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis. | Pei Ling Lai, Gayle Leen, Colin Fyfe |
| 2002 | ESANN | Probabilistic derivation and Multiple Canonical Correlation Analysis. | Pei Ling Lai |
| 2000 | ICPR | Canonical Correlation Analysis Neural Networks. | Colin Fyfe, Pei Ling Lai |
| 2000 | ICPR | Power Load Forecasting Using Neural Canonical Correlates. | Pei Ling Lai, Shang Jen Chuang, Colin Fyfe |
| 2000 | IJCNN | Kernel and Nonlinear Canonical Correlation Analysis. | Pei Ling Lai, Colin Fyfe |
| 1998 | ESANN | Canonical correlation analysis using artificial neural networks. | Pei Ling Lai, Colin Fyfe |