| 2019 | UAI | Domain Generalization via Multidomain Discriminant Analysis. | Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan |
| 2017 | IDEAL | On the Relations of Theoretical Foundations of Different Causal Inference Algorithms. | Furui Liu, Laiwan Chan |
| 2013 | ICDM | Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method. | Zhitang Chen, Kun Zhang, Laiwan Chan |
| 2011 | ICDM | Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series. | Zhenxing Wang, Laiwan Chan |
| 2011 | IJCNN | New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures. | Zhitang Chen, Laiwan Chan |
| 2010 | KDD | An efficient causal discovery algorithm for linear models. | Zhenxing Wang, Laiwan Chan |
| 2009 | IDA | ICA with Sparse Connections: Revisited. | Kun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvrinen |
| 2009 | IDEAL | A Heuristic Partial-Correlation-Based Algorithm for Causal Relationship Discovery on Continuous Data. | Zhenxing Wang, Laiwan Chan |
| 2008 | DaWaK | Clustered Dynamic Conditional Correlation Multivariate GARCH Model. | Tu Zhou, Laiwan Chan |
| 2007 | BIBE | Mining Order Preserving Patterns in Microarray Data by Finding Frequent Orders. | Li Teng, Laiwan Chan |
| 2007 | ICML | Nonlinear independent component analysis with minimal nonlinear distortion. | Kun Zhang, Laiwan Chan |
| 2007 | IDEAL | Independent Factor Reinforcement Learning for Portfolio Management. | Jian Li, Kun Zhang, Laiwan Chan |
| 2006 | IJCNN | Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation. | Jian Li, Laiwan Chan |
| 2004 | ICONIP | Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. | Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu |
| 2004 | ISAIM | Biased Minimax Probability Machine for Medical Diagnosis. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan |
| 2002 | IDEAL | Support Vector Machine Regression for Volatile Stock Market Prediction. | Haiqin Yang, Laiwan Chan, Irwin King |
| 1998 | ICONIP | An Adaptive Learning Rate for Training Ring-Structured Recurrent Network. | Daqing Chen, Laiwan Chan |
| 1998 | ICONIP | Training Recurrent Neural Networks by Using Parallel Recursive Prediction Error Algorithm. | Daqing Chen, Laiwan Chan |