Jinyan Li

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Limsoon Wong 黄任祥KITHCT Professor of Computer Science & Professor of Pathology, National University of SingaporeVerified email at comp.nus.edu.sg
Guozhu DongProfessor, Computer Science, Wright State UniversityVerified email at wright.edu
Qian LiuUniversity of Nevada, Las VegasVerified email at unlv.edu
Yi ZhengPhd, Faculty of Engineering and Information Technology, University of Technology, SydneyVerified email at student.uts.edu.au
Chen, Peng (陳鵬)Professor, Anhui University;Univ of Sci & Tech of China;Nanyang Techno Univ;Howard Univ;CityU;KAUSTVerified email at ahu.edu.cn
Shameek GhoshFounder and CTO, Medius Health, www.quro.aiVerified email at mediushealth.org
Haiquan LiAssistant Professor, University of ArizonaVerified email at email.arizona.edu
Allen Eng Juh YeohAssociate Professor of Paediatrics, National University of SingaporeVerified email at nus.edu.sg
Kelvin SimGXSVerified email at grab.com
Zhixun ZhaoUniversity of Technology SydneyVerified email at student.uts.edu.au
Xiuzhen (Jenny) ZhangProfessor, School of Computing Technologies, RMIT University, AustraliaVerified email at rmit.edu.au
Dawn WilkinsProfessor of Computer & Information Science, University of MississippiVerified email at cs.olemiss.edu
William E EvansSt. Jude Children's Research HospitalVerified email at stjude.org
Mary V. RellingSt. Jude Children's Research HospitalVerified email at stjude.org
Hung NguyenSwinburne University of TechnologyVerified email at swin.edu.au
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporeVerified email at nus.edu.sg
Qiang Yang (杨强）Chief AI Officer@WeBank, Chair Prof.@HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
Longbing CaoProfessor & ARC Future Fellow (Level 3), University of Technology SydneyVerified email at uts.edu.au
Tommy W S ChowProfessor of Electronic Engineering, City University of Hong KongVerified email at cityu.edu.hk
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMUVerified email at smu.edu.sg

Jinyan Li

Bioinformatics Lab Director, Professor of Data Science, University of Technology Sydney

Verified email at uts.edu.au

Bioinformatics computational biology data mining health informatics


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Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling EJ Yeoh, ME Ross, SA Shurtleff, WK Williams, D Patel, R Mahfouz, ... Cancer cell 1 (2), 133-143, 2002	2310	2002
Efficient mining of emerging patterns: Discovering trends and differences G Dong, J Li Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	1444	1999
A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns H Liu, J Li, L Wong Genome informatics 13, 51-60, 2002	586	2002
CAEP: Classification by aggregating emerging patterns G Dong, X Zhang, L Wong, J Li International Conference on Discovery Science, 30-42, 1999	558	1999
Making use of the most expressive jumping emerging patterns for classification J Li, G Dong, K Ramamohanarao Knowledge and Information systems 3 (2), 131-145, 2001	256	2001
Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns J Li, L Wong Bioinformatics 18 (5), 725-734, 2002	217	2002
Mining border descriptions of emerging patterns from dataset pairs G Dong, J Li Knowledge and Information Systems 8 (2), 178-202, 2005	179	2005
Deeps: A new instance-based lazy discovery and classification system J Li, G Dong, K Ramamohanarao, L Wong Machine Learning 54 (2), 99-124, 2004	170	2004
Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients J Li, H Liu, JR Downing, AEJ Yeoh, L Wong Bioinformatics 19 (1), 71-78, 2003	169	2003
Interestingness of discovered association rules in terms of neighborhood-based unexpectedness G Dong, J Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 72-86, 1998	167	1998
Discovery of significant rules for classifying cancer diagnosis data J Li, H Liu, SK Ng, L Wong Bioinformatics 19 (suppl_2), ii93-ii102, 2003	157	2003
Mining statistically important equivalence classes and delta-discriminative emerging patterns J Li, G Liu, L Wong Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	142	2007
Maximal biclique subgraphs and closed pattern pairs of the adjacency matrix: A one-to-one correspondence and mining algorithms J Li, G Liu, H Li, L Wong IEEE Transactions on Knowledge and Data Engineering 19 (12), 1625-1637, 2007	130	2007
Instance-based classification by emerging patterns J Li, G Dong, K Ramamohanarao European Conference on Principles of Data Mining and Knowledge Discovery …, 2000	113	2000
The long noncoding RNA MALAT1 promotes tumor-driven angiogenesis by up-regulating pro-angiogenic gene expression AE Tee, B Liu, R Song, J Li, E Pasquier, BB Cheung, C Jiang, ... Oncotarget 7 (8), 8663-8675, 2016	99	2016
Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning C Xie, J Zhang, R Li, J Li, P Hong, J Xia, P Chen Computers and Electronics in Agriculture 119, 123-132, 2015	99	2015
Minimum description length principle: Generators are preferable to closed patterns J Li, H Li, L Wong, J Pei, G Dong AAAI, 409-414, 2006	95	2006
Emerging patterns and gene expression data J Li, L Wong Genome Informatics 12, 3-13, 2001	91	2001
Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns S Ghosh, J Li, L Cao, K Ramamohanarao Journal of biomedical informatics 66, 19-31, 2017	90	2017
Using rules to analyse bio-medical data: a comparison between C4. 5 and PCL J Li, L Wong International Conference on Web-Age Information Management, 254-265, 2003	89*	2003

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