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ORCIDLeonard K. M. Poon
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- affiliation: The Education University of Hong Kong, Hong Kong SAR, China
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2020 – today
- 2023
[c18]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: 2335-2345- [i9]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 abs/2306.06339 (2023) - 2022
- [j9]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): 1337-1348 (2022) - 2021
- [j8]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): 374-391 (2021) - 2020
- [c17]Farhan Khawar, Leonard K. M. Poon, Nevin L. Zhang:
Learning the Structure of Auto-Encoding Recommenders. WWW 2020: 519-529 - [i8]Leonard K. M. Poon, Nevin L. Zhang, Haoran Xie, Gary Cheng:
Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling. CoRR abs/2007.05163 (2020) - [i7]Farhan Khawar, Leonard Kin Man Poon, Nevin Lianwen Zhang:
Learning the Structure of Auto-Encoding Recommenders. CoRR abs/2008.07956 (2020)
2010 – 2019
- 2019
- [c16]Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang:
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering. ICLR (Poster) 2019 - [c15]Leonard K. M. Poon:
Extracting Access Patterns with Hierarchical Latent Tree Analysis: An Empirical Study on an Undergraduate Programming Course. IUKM 2019: 380-392 - 2018
- [j7]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: 392-409 (2018) - [c14]Leonard K. M. Poon:
GPU-Accelerated Clique Tree Propagation for Pouch Latent Tree Models. NPC 2018: 90-102 - 2017
- [j6]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: 105-124 (2017) - [c13]Nevin L. Zhang, Leonard K. M. Poon:
Latent Tree Analysis. AAAI 2017: 4891-4898 - [c12]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: 341-344 - [c11]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: 191-198 - [c10]Leonard K. M. Poon, Chun Fai Leung, Nevin L. Zhang:
Mining Textual Reviews with Hierarchical Latent Tree Analysis. DMBD 2017: 401-408 - [c9]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: 166-176 - [c8]Leonard K. M. Poon, Zichao Li, Gary Cheng:
Topic Classification on Short Reflective Writings for Monitoring Students' Progress. ICBL 2017: 236-246 - [c7]Leonard K. M. Poon:
Clustering with Multidimensional Mixture Models: Analysis on World Development Indicators. ISNN (1) 2017: 153-160 - 2016
- [c6]Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen:
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. AAAI 2016: 1498-1504 - [i6]Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen:
Latent Tree Models for Hierarchical Topic Detection. CoRR abs/1605.06650 (2016) - [i5]Leonard K. M. Poon, Nevin L. Zhang:
Topic Browsing for Research Papers with Hierarchical Latent Tree Analysis. CoRR abs/1609.09188 (2016) - [i4]Nevin L. Zhang, Leonard K. M. Poon:
Latent Tree Analysis. CoRR abs/1610.00085 (2016) - 2015
- [j5]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): 301-330 (2015) - [c5]April H. Liu, Leonard K. M. Poon, Nevin Lianwen Zhang:
Unidimensional Clustering of Discrete Data Using Latent Tree Models. AAAI 2015: 2771-2777 - [i3]Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen:
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. CoRR abs/1508.00973 (2015) - 2014
- [j4]April H. Liu, Leonard K. M. Poon, Tengfei Liu, Nevin Lianwen Zhang:
Latent tree models for rounding in spectral clustering. Neurocomputing 144: 448-462 (2014) - [i2]Nevin Lianwen Zhang, Chen Fu, Tengfei Liu, Kin Man Poon, Peixian Chen, Bao Xin Chen, Yun Ling Zhang:
An Evidence-Based Approach to Patient Classification in Traditional Chinese Medicine based on Latent Tree Analysis. CoRR abs/1410.7140 (2014) - 2013
- [j3]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): 196-215 (2013) - [j2]Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon:
LTC: A latent tree approach to classification. Int. J. Approx. Reason. 54(4): 560-572 (2013) - 2012
- [j1]Tao Chen, Nevin Lianwen Zhang, Tengfei Liu, Kin Man Poon, Yi Wang:
Model-based multidimensional clustering of categorical data. Artif. Intell. 176(1): 2246-2269 (2012) - [c4]Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang:
A Model-Based Approach to Rounding in Spectral Clustering. UAI 2012: 685-694 - [i1]Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang:
A Model-Based Approach to Rounding in Spectral Clustering. CoRR abs/1210.4883 (2012) - 2011
- [c3]Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon:
Latent Tree Classifier. ECSQARU 2011: 410-421 - [c2]Tengfei Liu, Nevin Lianwen Zhang, Kin Man Poon, Yi Wang, Hua Liu:
Fast Multidimensional Clustering of Categorical Data. MultiClust@ECML/PKDD 2011: 19-30 - 2010
- [c1]Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen, Yi Wang:
Variable Selection in Model-Based Clustering: To Do or To Facilitate. ICML 2010: 887-894
Coauthor Index
aka: Nevin L. Zhang
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