| 2023 | UAI | Two-stage holistic and contrastive explanation of image classification. | Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang |
| 2020 | WWW | Learning the Structure of Auto-Encoding Recommenders. | Farhan Khawar, Leonard K. M. Poon, Nevin L. Zhang |
| 2019 | ICLR | Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering. | Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang |
| 2018 | NPC | GPU-Accelerated Clique Tree Propagation for Pouch Latent Tree Models. | Leonard K. M. Poon |
| 2017 | AAAI | Latent Tree Analysis. | Nevin L. Zhang, Leonard K. M. Poon |
| 2017 | APWEB | Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis. | Leonard K. M. Poon, Chun Fai Leung, Peixian Chen, Nevin L. Zhang |
| 2017 | ISNN | Clustering with Multidimensional Mixture Models: Analysis on World Development Indicators. | Leonard K. M. Poon |
| 2016 | AAAI | Progressive EM for Latent Tree Models and Hierarchical Topic Detection. | Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen |
| 2015 | AAAI | Unidimensional Clustering of Discrete Data Using Latent Tree Models. | April H. Liu, Leonard K. M. Poon, Nevin Lianwen Zhang |
| 2012 | UAI | A Model-Based Approach to Rounding in Spectral Clustering. | Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang |
| 2011 | ECSQARU | Latent Tree Classifier. | Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon |
| 2010 | ICML | Variable Selection in Model-Based Clustering: To Do or To Facilitate. | Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen, Yi Wang |