Posters

Selected Posters & Demos

2025

• 1. Hoang-Hai Nguyen, Josip Rudar, Carson Leung, Oliver Lung: WaveSeekerNet: a deep learning model for accurate predictive of influenza A virus subtypes and host tropism. Health Canada Science Forum 2025  

2023

• 2. Lily Lim, Connor Hryhoruk, Ruth Ann Marrie, Christine Peschken, Carson Leung, Lisa Lix: Machine learning detected healthcare encounter patterns leading to diagnosis of juvenile arthritis in a population-based canadian cohort. American College of Rheumatology (ACR) Convergence 2023 (Nov 10-15, San Diego, CA, USA) (Nov 12 2023)

  3. Beyza Ciftci, Iman Beheshti, Lisa Lix, Amber Salter, Carson Leung, Ruth Ann Marrie: Disability-based clusters and their clinicodemographic determinants in patients with multiple sclerosis: preliminary results of an unsupervised clustering approach. Joint ECTRIMS-ACTRIMS Meeting: MSMilan 2023 (Oct 11-13, Milan, Italy)

  4. Eric Lin, Boyuan Liu, Leann Lac, Daryl L. X. Fung, Carson K. Leung, Pingzhao Hu: A Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. Terry Fox Research Institute (TFRI) Prairie Cancer Consortium (PR2C) 2023 (Jun 22-23, Calgary, AB, Canada) 

2022

• 5. Leann Lac, Eric Lin, Boyuan Liu, Daryl L.X. Fung, Carson K. Leung, Pingzhao Hu: scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. Cold Spring Harbor Laboratory (CSHL) Biological Data Science 2022 (Nov 09-12, Cold Spring Harbor, NY, USA)  

  6. Nguyen Duy Thong Tran, Carson K. Leung, Evan W.R. Madill, PHAN Thai Binh: A deep learning based predictive model for healthcare analytics. IEEE ICHI 2022: 547-549

2021

• 7. Carson K. Leung, Adam Pazdor, Joglas Souza: Explainable artificial intelligence for data science on customer churn. IEEE DSAA 2021 [Paper w/ poster]

  8. Barret Monchka, Carson Leung, Lisa Lix: The effect of disease co-occurrence measurement on multimorbidity networks. Canadian Society for Epidemiology and Biostatistics (CSEB) 2021 rapid fire presentation 121 (Jun 01-03 2021)

  9. Marcello Nesca, Lisa Lix, Carson Leung: Preprocessing methods to prepare unstructured text data for natural language processing: a scoping review. CSEB 2021 electronic poster 13 (Jun 01-03 2021)

2019

• 10. Joshua Hamilton, Sehaj Pal Singh, Jaret André, [Carson K. Leung]: Predicting food preparation time. UofM Data Science Nexus Conference 2019 (Nov 14 2019) [Poster for Student Challenges]

  11. Calvin S. H. Hoi, Joglas Souza, [Carson K. Leung]: Food preparation time prediction using random forest regression. UofM Data Science Nexus Conference 2019 (Nov 14 2019) [Poster for Student Challenges]

2016

• 12. Fan Jiang, Carson K. Leung, Hao Zhang: B-mine: frequent pattern mining and its application to knowledge discovery from social networks. APWeb 2016, Part I (LNCS 9931): 316-328 (September 2016) [Paper w/ poster]

  13. Carson K. Leung, Christopher L. Carmichael, Yaroslav Hayduk, Fan Jiang, Vadim V. Kononov, Adam G. M. Pazdor: Data mining meets HCI: data and visual analytics of frequent patterns. ECML-PKDD 2016, Part III (LNAI 9853): 289-293 (September 2016) [Paper w/ poster]

  14. Fan Jiang, Carson K. Leung, Adam G. M. Pazdor: Big data mining of social networks for friend recommendation. IEEE/ACM ASONAM (FAB) 2016: 921-922 (August 2016) [Poster paper]

  15. Carson K. Leung, Vadim V. Kononov, Adam G. M. Pazdor, Fan Jiang: PyramidViz: Visual analytics and big data visualization of frequent patterns. IEEE DASC-PICom-DataCom-CyberSciTech (IEEE DataCom) 2016: 913-916 (August 2016) [Poster paper]

2015

• 16. Alfredo Cuzzocrea, Carson K. Leung: Upper bounds to expected support for frequent itemset mining of uncertain big data. ACM SAC (DM) 2015 (Vol. I): 919-921 (April 2015) [Poster paper]

2014

• 17. Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang: Reducing the search space for big data mining for interesting patterns from uncertain data. IEEE Big Data Congress 2014: 315-322 (July 2014) [Paper w/ poster]

2013

• 18. Juan J. Cameron, Alfredo Cuzzocrea, Carson K. Leung: Stream mining of frequent sets with limited memory. ACM SAC (DM) 2013 (Vol. I): 173-175 (March 2013) [Poster paper]

2012

• 19. Sergio Camorlinga, Bruce D. Martin, Hossein Pourreza, Carson K. Leung: A platform for a distributed network of physicians providing a distributed health care delivery. e-Health 2012 (May 2012) [Poster]

2011

• 20. Carson Kai-Sang Leung, Lijing Sun: Equivalence class transformation based mining of frequent itemsets from uncertain data. ACM SAC (DM) 2011 (Vol. II): 983-984 (March 2011) [Poster paper]

2009

• 21. Wookey Lee, James Jung-Hoon Lee, Young Kuk Kim, Carson Kai-Sang Leung: AnchorWoman: top-k structured mobile web search engine. ACM CIKM 2009: 2089-2090 (November 2009) [Demo]

  22. Carson Kai-Sang Leung, Christopher L. Carmichael: FpViz: a visualizer for frequent pattern mining. ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery 2009 (KDD-VAKD'09): 30-39 (June 2009) [Paper w/ poster]

2008

• 23. Mark Anthony F. Mateo, Carson K. Leung, Asanobu Kitamoto, Andrew J. Nadler: Design and development of a prototype system for detecting abnormal weather observations. JSPS 2008 (August 2008) [Poster]

  24. Boyu Hao, Carson Kai-Sang Leung, Sergio Camorlinga, Martin H. Reed, Martin K. Bunge, Jens Wrogemann, Rick J. Higgins: A computer-aided change detection system for paediatric acute intracranial haemorrhage. C3S2E 2008: 109-111 (May 2008) [Poster paper]

2006

• 25. Carson K. Leung, Christopher L. Carmichael, Quamrul I. Khan, Zhan Li, Tariqul Hoque: Data mining system. CASCON 2006 (October 2006) [Demo]

  26. Carson K. Leung: Database research group at University of Manitoba. CanDB 2006 (October 2006) [Presentation]

2004

• 27. Carson K. Leung: Database research group at The University of Manitoba. CanDB 2004 (August 2004) [Presentation]