Leonard K. M. Poon

According to our database, Leonard K. M. Poon authored at least 31 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis.

Minghui Huang, Haoran Xie, Yanghui Rao, Yuwei Liu, Leonard K. M. Poon, Fu Lee Wang

IEEE Trans. Affect. Comput., 2022

2021

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

Int. J. Mob. Learn. Organisation, 2021

2020

Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling.

Leonard K. M. Poon, Nevin L. Zhang, Haoran Xie, Gary Cheng

CoRR, 2020

Learning the Structure of Auto-Encoding Recommenders.

Farhan Khawar, Leonard K. M. Poon, Nevin L. Zhang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Extracting Access Patterns with Hierarchical Latent Tree Analysis: An Empirical Study on an Undergraduate Programming Course.

Leonard K. M. Poon

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering.

Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang

Proceedings of the 7th International Conference on Learning Representations, 2019

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

GPU-Accelerated Clique Tree Propagation for Pouch Latent Tree Models.

Leonard K. M. Poon

Proceedings of the Network and Parallel Computing, 2018

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

Clustering with Multidimensional Mixture Models: Analysis on World Development Indicators.

Leonard K. M. Poon

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Topic Classification on Short Reflective Writings for Monitoring Students' Progress.

Leonard K. M. Poon, Zichao Li, Gary Cheng

Proceedings of the Blended Learning. New Challenges and Innovative Practices, 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

Proceedings of the Blended Learning. New Challenges and Innovative Practices, 2017

Mining Textual Reviews with Hierarchical Latent Tree Analysis.

Leonard K. M. Poon, Chun Fai Leung, Nevin L. Zhang

Proceedings of the Data Mining and Big Data - Second International Conference, 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

Proceedings of the Data Mining and Big Data - Second International Conference, 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

Proceedings of the Web and Big Data - First International Joint Conference, 2017

Latent Tree Analysis.

Nevin L. Zhang, Leonard K. M. Poon

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Topic Browsing for Research Papers with Hierarchical Latent Tree Analysis.

Leonard K. M. Poon, Nevin L. Zhang

CoRR, 2016

Latent Tree Models for Hierarchical Topic Detection.

Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen

CoRR, 2016

Progressive EM for Latent Tree Models and Hierarchical Topic Detection.

Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

Mach. Learn., 2015

Unidimensional Clustering of Discrete Data Using Latent Tree Models.

April H. Liu, Leonard K. M. Poon, Nevin Lianwen Zhang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Latent tree models for rounding in spectral clustering.

April H. Liu, Leonard K. M. Poon, Tengfei Liu, Nevin Lianwen Zhang

Neurocomputing, 2014

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

2013

LTC: A latent tree approach to classification.

Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon

Int. J. Approx. Reason., 2013

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

2012

Model-based multidimensional clustering of categorical data.

Tao Chen, Nevin Lianwen Zhang, Tengfei Liu, Kin Man Poon, Yi Wang

Artif. Intell., 2012

A Model-Based Approach to Rounding in Spectral Clustering.

Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011

Fast Multidimensional Clustering of Categorical Data.

Tengfei Liu, Nevin Lianwen Zhang, Kin Man Poon, Yi Wang, Hua Liu

Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

Latent Tree Classifier.

Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010

Variable Selection in Model-Based Clustering: To Do or To Facilitate.

Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen, Yi Wang

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010