Variable Selection in Model-Based Clustering: To Do or To Facilitate. - Leonard K. M. Poon; Nevin Lianwen Zhang; Tao Chen; Yi Wang 006 (ICML, 2010)

Latent Tree Classifier. - Yi Wang 006; Nevin Lianwen Zhang; Tao Chen; Leonard K. M. Poon (ECSQARU, 2011)

Fast Multidimensional Clustering of Categorical Data. - Tengfei Liu; Nevin Lianwen Zhang; Kin Man Poon; Yi Wang 006; Hua Liu (MultiClust@ECML/PKDD, 2011)

A Model-Based Approach to Rounding in Spectral Clustering. - Leonard K. M. Poon; April H. Liu; Tengfei Liu; Nevin Lianwen Zhang (UAI, 2012)

Model-based multidimensional clustering of categorical data. - Tao Chen; Nevin Lianwen Zhang; Tengfei Liu; Kin Man Poon; Yi Wang 006 (Artif. Intell., 2012)

Model-based clustering of high-dimensional data: Variable selection versus facet determination. - Leonard K. M. Poon; Nevin Lianwen Zhang; Tengfei Liu; April H. Liu (Int. J. Approx. Reason., 2013)

LTC: A latent tree approach to classification. - Yi Wang 006; Nevin Lianwen Zhang; Tao Chen; Leonard K. M. Poon (Int. J. Approx. Reason., 2013)

An Evidence-Based Approach to Patient Classification in Traditional Chinese Medicine based on Latent Tree Analysis. - Nevin Lianwen Zhang; Chen Fu; Tengfei Liu; Kin Man Poon; Peixian Chen; Bao Xin Chen; Yun Ling Zhang (CoRR, 2014)

Latent tree models for rounding in spectral clustering. - April H. Liu; Leonard K. M. Poon; Tengfei Liu; Nevin Lianwen Zhang (Neurocomputing, 2014)

Unidimensional Clustering of Discrete Data Using Latent Tree Models. - April H. Liu; Leonard K. M. Poon; Nevin Lianwen Zhang (AAAI, 2015)

Greedy learning of latent tree models for multidimensional clustering. - Tengfei Liu; Nevin Lianwen Zhang; Peixian Chen; April Hua Liu; Leonard K. M. Poon; Yi Wang 006 (Mach. Learn., 2015)

Progressive EM for Latent Tree Models and Hierarchical Topic Detection. - Peixian Chen; Nevin L. Zhang; Leonard K. M. Poon; Zhourong Chen (AAAI, 2016)

Latent Tree Models for Hierarchical Topic Detection. - Peixian Chen; Nevin L. Zhang; Tengfei Liu; Leonard K. M. Poon; Zhourong Chen (CoRR, 2016)

Topic Browsing for Research Papers with Hierarchical Latent Tree Analysis. - Leonard K. M. Poon; Nevin L. Zhang (CoRR, 2016)

Latent Tree Analysis. - Nevin L. Zhang; Leonard K. M. Poon (AAAI, 2017)

Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis. - Leonard K. M. Poon; Chun Fai Leung; Peixian Chen; Nevin L. Zhang (APWeb/WAIM (2), 2017)

Mining Sequential Patterns of Students' Access on Learning Management System. - Leonard K. M. Poon; Siu-Cheung Kong; Michael Y. W. Wong; Thomas S. H. Yau (DMBD, 2017)

Mining Textual Reviews with Hierarchical Latent Tree Analysis. - Leonard K. M. Poon; Chun Fai Leung; Nevin L. Zhang (DMBD, 2017)

Learning Analytics for Monitoring Students Participation Online: Visualizing Navigational Patterns on Learning Management System. - Leonard K. M. Poon; Siu-Cheung Kong; Thomas S. H. Yau; Michael Y. W. Wong; Man Ho Ling (ICBL, 2017)

Topic Classification on Short Reflective Writings for Monitoring Students' Progress. - Leonard K. M. Poon; Zichao Li; Gary Cheng 001 (ICBL, 2017)

Clustering with Multidimensional Mixture Models: Analysis on World Development Indicators. - Leonard K. M. Poon (ISNN (1), 2017)

Latent tree models for hierarchical topic detection. - Peixian Chen; Nevin L. Zhang; Tengfei Liu; Leonard K. M. Poon; Zhourong Chen; Farhan Khawar (Artif. Intell., 2017)

GPU-Accelerated Clique Tree Propagation for Pouch Latent Tree Models. - Leonard K. M. Poon (NPC, 2018)

UC-LTM: Unidimensional clustering using latent tree models for discrete data. - Leonard K. M. Poon; April H. Liu; Nevin L. Zhang (Int. J. Approx. Reason., 2018)

Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering. - Xiaopeng Li; Zhourong Chen; Leonard K. M. Poon; Nevin L. Zhang (ICLR (Poster), 2019)

Extracting Access Patterns with Hierarchical Latent Tree Analysis: An Empirical Study on an Undergraduate Programming Course. - Leonard K. M. Poon (IUKM, 2019)

Learning the Structure of Auto-Encoding Recommenders. - Farhan Khawar; Leonard K. M. Poon; Nevin L. Zhang (WWW, 2020)

Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling. - Leonard K. M. Poon; Nevin L. Zhang; Haoran Xie 001; Gary Cheng 001 (CoRR, 2020)

Automatic topic detection on Chinese essays: a technology enhanced approach to facilitating formative use of summative assessment. - Leonard K. M. Poon; Wing Shui Ng; Gary Cheng 001 (Int. J. Mob. Learn. Organisation, 2021)

Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis. - Minghui Huang; Haoran Xie 001; Yanghui Rao; Yuwei Liu; Leonard K. M. Poon; Fu Lee Wang (IEEE Trans. Affect. Comput., 2022)

Two-stage holistic and contrastive explanation of image classification. - Weiyan Xie; Xiao-Hui Li 009; Zhi Lin; Leonard K. M. Poon; Caleb Chen Cao; Nevin L. Zhang (UAI, 2023)