Leonard K. M. Poon

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 25

Top Topics

Technology Enhanced

Topic Detection

Top Venues

Int. J. Approx. Reason.

Publications

Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang
Two-Stage Holistic and Contrastive Explanation of Image Classification. CoRR (2023)
Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang
Two-stage holistic and contrastive explanation of image classification. UAI (2023)
Minghui Huang, Haoran Xie, Yanghui Rao, Yuwei Liu, Leonard K. M. Poon, Fu Lee Wang
Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis. IEEE Trans. Affect. Comput. 13 (3) (2022)
Leonard K. M. Poon, Wing Shui Ng, Gary Cheng
Automatic topic detection on Chinese essays: a technology enhanced approach to facilitating formative use of summative assessment. Int. J. Mob. Learn. Organisation 15 (4) (2021)
Leonard K. M. Poon, Nevin L. Zhang, Haoran Xie, Gary Cheng
Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling. CoRR (2020)
Farhan Khawar, Leonard K. M. Poon, Nevin L. Zhang
Learning the Structure of Auto-Encoding Recommenders. WWW (2020)
Leonard K. M. Poon
Extracting Access Patterns with Hierarchical Latent Tree Analysis: An Empirical Study on an Undergraduate Programming Course. IUKM (2019)
Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering. ICLR (Poster) (2019)
Leonard K. M. Poon
GPU-Accelerated Clique Tree Propagation for Pouch Latent Tree Models. NPC (2018)
Leonard K. M. Poon, April H. Liu, Nevin L. Zhang
UC-LTM: Unidimensional clustering using latent tree models for discrete data. Int. J. Approx. Reason. 92 (2018)
Leonard K. M. Poon, Siu-Cheung Kong, Michael Y. W. Wong, Thomas S. H. Yau
Mining Sequential Patterns of Students' Access on Learning Management System. DMBD (2017)
Leonard K. M. Poon, Chun Fai Leung, Peixian Chen, Nevin L. Zhang
Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis. APWeb/WAIM (2) (2017)
Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen, Farhan Khawar
Latent tree models for hierarchical topic detection. Artif. Intell. 250 (2017)
Leonard K. M. Poon, Zichao Li, Gary Cheng
Topic Classification on Short Reflective Writings for Monitoring Students' Progress. ICBL (2017)
Leonard K. M. Poon
Clustering with Multidimensional Mixture Models: Analysis on World Development Indicators. ISNN (1) (2017)
Leonard K. M. Poon, Chun Fai Leung, Nevin L. Zhang
Mining Textual Reviews with Hierarchical Latent Tree Analysis. DMBD (2017)
Leonard K. M. Poon, Siu-Cheung Kong, Thomas S. H. Yau, Michael Y. W. Wong, Man Ho Ling
Learning Analytics for Monitoring Students Participation Online: Visualizing Navigational Patterns on Learning Management System. ICBL (2017)
Nevin L. Zhang, Leonard K. M. Poon
Latent Tree Analysis. AAAI (2017)
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. AAAI (2016)
Leonard K. M. Poon, Nevin L. Zhang
Topic Browsing for Research Papers with Hierarchical Latent Tree Analysis. CoRR (2016)
Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen
Latent Tree Models for Hierarchical Topic Detection. CoRR (2016)
Nevin L. Zhang, Leonard K. M. Poon
Latent Tree Analysis. CoRR (2016)
Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, April Hua Liu, Leonard K. M. Poon, Yi Wang
Greedy learning of latent tree models for multidimensional clustering. Mach. Learn. 98 (1-2) (2015)
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. CoRR (2015)
April H. Liu, Leonard K. M. Poon, Nevin Lianwen Zhang
Unidimensional Clustering of Discrete Data Using Latent Tree Models. AAAI (2015)
April H. Liu, Leonard K. M. Poon, Tengfei Liu, Nevin Lianwen Zhang
Latent tree models for rounding in spectral clustering. Neurocomputing 144 (2014)
Leonard K. M. Poon, Nevin Lianwen Zhang, Tengfei Liu, April H. Liu
Model-based clustering of high-dimensional data: Variable selection versus facet determination. Int. J. Approx. Reason. 54 (1) (2013)
Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon
LTC: A latent tree approach to classification. Int. J. Approx. Reason. 54 (4) (2013)
Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang
A Model-Based Approach to Rounding in Spectral Clustering CoRR (2012)
Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang
A Model-Based Approach to Rounding in Spectral Clustering. UAI (2012)
Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon
Latent Tree Classifier. ECSQARU (2011)
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen, Yi Wang
Variable Selection in Model-Based Clustering: To Do or To Facilitate. ICML (2010)