Leonard K. M. Poon

32 papers A* 5A 2C 2Journal 15Unranked 8

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