| 2025 | CIARP | Source Code Minimaps at Scale: Feature-Oriented Analysis of 100 Projects. | Munif Gebara, Igor Scaliante Wiese, Hua-Liang Wei, Yandre M. G. Costa |
| 2020 | ACCV | A Global to Local Double Embedding Method for Multi-person Pose Estimation. | Yiming Xu, Jiaxin Li, Yan Ding, Hua-Liang Wei |
| 2019 | HPCC | NARMAX Model as a Sparse, Interpretable and Transparent Machine Learning Approach for Big Medical and Healthcare Data Analysis. | Stephen A. Billings, Hua-Liang Wei |
| 2019 | IWANN | Boosting Wavelet Neural Networks Using Evolutionary Algorithms for Short-Term Wind Speed Time Series Forecasting. | Hua-Liang Wei |
| 2019 | IWANN | Sparse, Interpretable and Transparent Predictive Model Identification for Healthcare Data Analysis. | Hua-Liang Wei |
| 2017 | ICINCO | Preprocessing Graphs for Network Inference Applications. | H. R. Sachin Prabhu, Hua-Liang Wei |
| 2017 | ICINCO | BNCA: Full-rank Factorisable Subgraphs Based Unique Structure-Constrained Matrix Factorisation. | H. R. Sachin Prabhu, Hua-Liang Wei |
| 2015 | ICPRAM | Using Nonlinear Models to Enhance Prediction Performance with Incomplete Data. | Faraj A. A. Bashir, Hua-Liang Wei |
| 2015 | MMAR | Model selection to enhance prediction performance in the presence of missing data. | Faraj A. A. Bashir, Hua-Liang Wei, Abdollha M. Benomair |
| 2012 | ICMLC | System identification from small data sets using an output jittering method with application to model estimation of bioethanol production. | Jing Yang, Hua-Liang Wei, Visakan Kadirkamanathan, Xiaofang Lin |
| 2010 | ICNC | Preface. | Shigang Yue, Hua-Liang Wei, Lipo Wang, Yibin Song |
| 2010 | ICNC | Preface. | Shigang Yue, Hua-Liang Wei, Lipo Wang, Yibin Song |
| 2010 | ICNC | Preface. | Shigang Yue, Hua-Liang Wei, Lipo Wang, Yibin Song |