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 LiuThe Children’s Hospital of PhiladelphiaVerified email at email.chop.edu
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
Haiquan LiAssistant Professor, University of ArizonaVerified email at email.arizona.edu
Xiuzhen (Jenny) ZhangProfessor, School of Computing Technologies, RMIT University, AustraliaVerified email at rmit.edu.au
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
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMUVerified email at smu.edu.sg
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
Chee Keong KWOHNanyang Technological UniversityVerified email at ntu.edu.sg
Jian PeiProfessor of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Lusheng WangCity University of Hong KongVerified email at cityu.edu.hk
Yi-Ping Phoebe ChenProfessor of Computer Science, La Trobe University, Melbourne, AustraliaVerified email at latrobe.edu.au
John EllisEmeritus Professor, University of Technology SydneyVerified email at uts.edu.au
David LoProfessor of Computer Science, Singapore Management UniversityVerified email at smu.edu.sg
Yuanchun ZhouComputer Network Information Center,CASVerified email at cnic.cn
Ying HeNanyang Technological UniversityVerified email at ntu.edu.sg

Jinyan Li

Professor of Data Science, University of Technology Sydney

Verified email at uts.edu.au

Data mining bioinformatics 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	2260	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	1409	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	570	2002
CAEP: Classification by aggregating emerging patterns G Dong, X Zhang, L Wong, J Li International Conference on Discovery Science, 30-42, 1999	554	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	253	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	220	2002
Mining border descriptions of emerging patterns from dataset pairs G Dong, J Li Knowledge and Information Systems 8 (2), 178-202, 2005	177	2005
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	170	1998
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	167	2003
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	164	2004
Discovery of significant rules for classifying cancer diagnosis data J Li, H Liu, SK Ng, L Wong Bioinformatics 19 (suppl_2), ii93-ii102, 2003	154	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	137	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	120	2007
Instance-based classification by emerging patterns J Li, G Dong, K Ramamohanarao European Conference on Principles of Data Mining and Knowledge Discovery …, 2000	111	2000
Emerging patterns and gene expression data J Li, L Wong Genome Informatics 12, 3-13, 2001	92	2001
Minimum description length principle: Generators are preferable to closed patterns J Li, H Li, L Wong, J Pei, G Dong AAAI, 409-414, 2006	91	2006
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	89	2016
An in-silico method for prediction of polyadenylation signals in human sequences H Liu, H Han, J Li, L Wong Genome Informatics 14, 84-93, 2003	80	2003
Efficient mining of large maximal bicliques G Liu, K Sim, J Li International Conference on Data Warehousing and Knowledge Discovery, 437-448, 2006	79*	2006
Disease gene identification by random walk on multigraphs merging heterogeneous genomic and phenotype data Y Li, J Li BMC genomics 13 (Suppl 7), S27, 2012	77	2012

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