| 2014 | IJCNN | Multivariate multi-scale Gaussian for microarray unsupervised classification. | Amelia King, ZiHua Yang, Zheng Rong Yang |
| 2008 | HAIS | Crosstalk and Signalling Pathway Complexity - A Case Study on Synthetic Models. | Zheng Rong Yang |
| 2008 | HAIS | Explore Residue Significance in Peptide Classification. | Zheng Rong Yang |
| 2008 | IDEAL | Single-Layer Neural Net Competes with Multi-layer Neural Net. | Zheng Rong Yang |
| 2007 | IDEAL | A Sparse Bayesian Position Weighted Bio-Kernel Network. | David C. Trudgian, Zheng Rong Yang |
| 2006 | IJCNN | Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique. | Alex C. Thomas, Zheng Rong Yang |
| 2006 | IJCNN | Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks. | David C. Trudgian, Felicia Charles Johnson, Zheng Rong Yang |
| 2006 | IDEAL | A Fast Algorithm for Relevance Vector Machine. | Zheng Rong Yang |
| 2006 | IDEAL | Multivariate Crosstalk Models. | Natasha Young, Zheng Rong Yang |
| 2005 | ICNC | Bio-kernel Self-organizing Map for HIV Drug Resistance Classification. | Zheng Rong Yang, Natasha Young |
| 2005 | IDEAL | Bayesian Radial Basis Function Neural Network. | Zheng Rong Yang |
| 2003 | ICTAI | A Biology Inspired Neural Learning Algorithm for Analysing Protein Sequence. | Emily A. Berry, Zheng Rong Yang, Xikun Wu |
| 2002 | ISMB | Mining viral protease data to extract cleavage knowledge. | Ajit Narayanan, Xikun Wu, Zheng Rong Yang |
| 2000 | IJCNN | Identifying Health Inequalities Using Artificial Neural Networks (WHO Data). | Zheng Rong Yang, Robert G. Harrison, Weiping Lu |
| 2000 | IJCNN | Detecting False Benign in Breast Cancer Diagnosis. | Zheng Rong Yang, Weiping Lu, Dejin Yu, Robert G. Harrison |
| 2000 | IDEAL | Stability Analysis of Financial Ratios. | Zheng Rong Yang |
| 2000 | IDEAL | Applying Mutual Information to Adaptive Mixture Models. | Zheng Rong Yang, Mark Zwolinski |
| 1999 | DATE | Fast, Robust DC and Transient Fault Simulation for Nonlinear Analog Circuits. | Zheng Rong Yang, Mark Zwolinski |