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Jinyan Li
Jinyan Li
Distinguished Professor, 深圳理工大学;Adjunct Professor, University of Technology Sydney
Verified email at uts.edu.au
Title
Cited by
Cited by
Year
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
24082002
Efficient mining of emerging patterns: Discovering trends and differences
G Dong, J Li
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
15271999
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
6272002
CAEP: Classification by aggregating emerging patterns
G Dong, X Zhang, L Wong, J Li
Discovery Science: Second International Conference, DS’99 Tokyo, Japan …, 1999
5811999
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
2652001
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
2252002
Mining border descriptions of emerging patterns from dataset pairs
G Dong, J Li
Knowledge and Information Systems 8 (2), 178-202, 2005
1812005
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
1772004
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
1742003
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
1712015
Interestingness of discovered association rules in terms of neighborhood-based unexpectedness
G Dong, J Li
Research and Development in Knowledge Discovery and Data Mining: Second …, 1998
1711998
Discovery of significant rules for classifying cancer diagnosis data
J Li, H Liu, SK Ng, L Wong
Bioinformatics 19 (suppl_2), ii93-ii102, 2003
1682003
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
1552007
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
1402007
Prediction of 8-state protein secondary structures by a novel deep learning architecture
B Zhang, J Li, Q Lü
BMC bioinformatics 19 (1), 1-13, 2018
1272018
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
1242017
Instance-based classification by emerging patterns
J Li, G Dong, K Ramamohanarao
European Conference on Principles of Data Mining and Knowledge Discovery …, 2000
1172000
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
1092016
Prediction by collective likelihood from emerging patterns
J Li
US Patent App. 10/524,606, 2006
1092006
Minimum description length principle: Generators are preferable to closed patterns
J Li, H Li, L Wong, J Pei, G Dong
AAAI, 409-414, 2006
1002006
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