Jinyan Li
Affiliations:- University of Technology Sydney, Advanced Analytics Institute, Sydney, NSW, Asutralia
- University of Melbourne, Dept of CSSE, Australia (PhD 2011)
- Nanyang Technological University, Singapore (former)
- Institute for Infocomm Research, Singapore (former)
According to our database1,
Jinyan Li
authored at least 176 papers
between 1998 and 2023.
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Bibliography
2023
ARDE-N-BEATS: An Evolutionary Deep Learning Framework for Urban Traffic Flow Prediction.
IEEE Internet Things J., February, 2023
2022
Detection of spam reviews through a hierarchical attention architecture with N-gram CNN and Bi-LSTM.
Inf. Syst., 2022
2021
FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Deep learning detection of anomalous patterns from bus trajectories for traffic insight analysis.
Knowl. Based Syst., 2021
Transformation of FASTA files into feature vectors for unsupervised compression of short reads databases.
J. Bioinform. Comput. Biol., 2021
BMC Bioinform., 2021
Genetic source completeness of HIV-1 circulating recombinant forms (CRFs) predicted by multi-label learning.
Bioinform., 2021
Sequencing dropout-and-batch effect normalization for single-cell mRNA profiles: a survey and comparative analysis.
Briefings Bioinform., 2021
Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques.
Artif. Intell. Medicine, 2021
2020
Prediction of Taxi Destinations Using a Novel Data Embedding Method and Ensemble Learning.
IEEE Trans. Intell. Transp. Syst., 2020
Guest Editorial for the 29th International Conference on Genome Informatics (GIW 2018).
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Bioinform., 2020
A Dictionary-based Oversampling Approach to Clinical Document Classification on Small and Imbalanced Dataset.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces.
BMC Bioinform., December, 2019
Sequence-based prediction of protein-protein interaction sites by simplified long short-term memory network.
Neurocomputing, 2019
DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions.
BMC Bioinform., 2019
BMC Bioinform., 2019
Fast detection of maximal exact matches via fixed sampling of query K-mers and Bloom filtering of index K-mers.
Bioinform., 2019
Index suffix-prefix overlaps by (w, k)-minimizer to generate long contigs for reads compression.
Bioinform., 2019
Detection of Anomalous Traffic Patterns and Insight Analysis from Bus Trajectory Data.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Stratifying Risk of Coronary Artery Disease Using Discriminative Knowledge-Guided Medical Concept Pairings from Clinical Notes.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Discovering pan-correlation patterns from time course data sets by efficient mining algorithms.
Computing, 2018
BMC Syst. Biol., 2018
Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases.
BMC Bioinform., 2018
Prediction of 8-state protein secondary structures by a novel deep learning architecture.
BMC Bioinform., 2018
Identification of pre-microRNAs by characterizing their sequence order evolution information and secondary structure graphs.
BMC Bioinform., 2018
BMC Bioinform., 2018
Bioinform., 2018
Recognition of CRISPR/Cas9 off-target sites through ensemble learning of uneven mismatch distributions.
Bioinform., 2018
CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling.
Bioinform., 2018
Predicting Drug Targets from Heterogeneous Spaces using Anchor Graph Hashing and Ensemble Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Connectivity Based Method for Clustering Microbial Communities from Metagenomics Data of Water and Soil Samples.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Version Space Completeness for Novel Hypothesis Induction in Biomedical Applications.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Uncovering Discriminative Knowledge-Guided Medical Concepts for Classifying Coronary Artery Disease Notes.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Knowl. Based Syst., 2017
Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns.
J. Biomed. Informatics, 2017
Staged heterogeneity learning to identify conformational B-cell epitopes from antigen sequences.
BMC Genom., 2017
Cross disease analysis of co-functional microRNA pairs on a reconstructed network of disease-gene-microRNA tripartite.
BMC Bioinform., 2017
Bioinform., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Computing in Cardiology, 2017
2016
IEEE J. Biomed. Health Informatics, 2016
A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Estimation of NON-WSSUS Channel for OFDM System: Exploiting Support Correlations through a Novel Adaptive Weighted Predict-Re-Estimate L1 Minimization.
J. Commun., 2016
Grouping miRNAs of similar functions via weighted information content of gene ontology.
BMC Bioinform., 2016
Coordinating Discernibility and Independence Scores of Variables in a 2D Space for Efficient and Accurate Feature Selection.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Using constrained information entropy to detect rare adverse drug reactions from medical forums.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Predicting short-term ICU outcomes using a sequential contrast motif based classification framework.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Deriving Public Sector Workforce Insights: A Case Study Using Australian Public Sector Employment Profiles.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
2015
Burial Level Change Defines a High Energetic Relevance for Protein Binding Interfaces.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning.
Comput. Electron. Agric., 2015
Laplacian normalization and random walk on heterogeneous networks for disease-gene prioritization.
Comput. Biol. Chem., 2015
Connecting rules from paired miRNA and mRNA expression data sets of HCV patients to detect both inverse and positive regulatory relationships.
BMC Genom., 2015
2014
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Influenza A HA's conserved epitopes and broadly neutralizing antibodies: A prediction method.
J. Bioinform. Comput. Biol., 2014
PPI-IRO: a two-stage method for protein-protein interaction extraction based on interaction relation ontology.
Int. J. Data Min. Bioinform., 2014
Comput. Graph. Forum, 2014
Use B-factor related features for accurate classification between protein binding interfaces and crystal packing contacts.
BMC Bioinform., 2014
Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots.
BMC Bioinform., 2014
Tertiary structure-based prediction of conformational B-cell epitopes through B factors.
Bioinform., 2014
Proceedings of the 2014 Eurographics Symposium on Geometry Processing - Posters, 2014
Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular Vine.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Risk Prediction for Acute Hypotensive Patients by Using Gap Constrained Sequential Contrast Patterns.
Proceedings of the AMIA 2014, 2014
2013
Binding Affinity Prediction for Protein-Ligand Complexes Based on <i>β</i> Contacts and B Factor.
J. Chem. Inf. Model., 2013
Structural analysis on mutation residues and interfacial water molecules for human TIM disease understanding.
BMC Bioinform., 2013
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the 2013 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC), 2013
Emerging Pattern Based Rules Characterizing Subtypes of Leukemia.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013
2012
Detection of Outlier Residues for Improving Interface Prediction in Protein Heterocomplexes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Int. J. Bioinform. Res. Appl., 2012
Progressive dry-core-wet-rim hydration trend in a nested-ring topology of protein binding interfaces.
BMC Bioinform., 2012
Model the complex dependence structures of financial variables by using canonical vine.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Mining Iterative Generators and Representative Rules for Software Specification Discovery.
IEEE Trans. Knowl. Data Eng., 2011
Antibody-Specified B-Cell Epitope Prediction in Line with the Principle of Context-Awareness.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Exploring the wild birds' migration data for the disease spread study of H5N1: a clustering and association approach.
Knowl. Inf. Syst., 2011
DBAC: A simple prediction method for protein binding hot spots based on burial levels and deeply buried atomic contacts.
BMC Syst. Biol., 2011
Structural analysis of the hot spots in the binding between H1N1 HA and the 2D1 antibody: do mutations of H1N1 from 1918 to 2009 affect much on this binding?
Bioinform., 2011
2010
Modeling Protein Interacting Groups by Quasi-Bicliques: Complexity, Algorithm, and Application.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010
Insights into Bacterial Genome Composition through Variable Target GC Content Profiling.
J. Comput. Biol., 2010
Comput. Intell., 2010
Discovering conditional co-regulated protein complexes by integrating diverse data sources.
BMC Syst. Biol., 2010
Protein binding hot spots and the residue-residue pairing preference: a water exclusion perspective.
BMC Bioinform., 2010
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information.
BMC Bioinform., 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Birds Bring Flues? Mining Frequent and High Weighted Cliques from Birds Migration Networks.
Proceedings of the Database Systems for Advanced Applications, 2010
2009
Proceedings of the Encyclopedia of Database Systems, 2009
Proceedings of the Encyclopedia of Database Systems, 2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Mining maximal quasi-bicliques: Novel algorithm and applications in the stock market and protein networks.
Stat. Anal. Data Min., 2009
PADS: a simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining.
Knowl. Inf. Syst., 2009
'Double water exclusion': a hypothesis refining the O-ring theory for the hot spots at protein interfaces.
Bioinform., 2009
High Functional Coherence in k-Partite Protein Cliques of Protein Interaction Networks.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
Discovery of Migration Habitats and Routes of Wild Bird Species by Clustering and Association Analysis.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009
2008
A new concise representation of frequent itemsets using generators and a positive border.
Knowl. Inf. Syst., 2008
Proceedings of the SIAM International Conference on Data Mining, 2008
Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications.
Proceedings of the SIAM International Conference on Data Mining, 2008
Proceedings of the Computing and Combinatorics, 14th Annual International Conference, 2008
Interacting Amino Acid Preferences of 3D Pattern Pairs at the Binding Sites of Transient and Obligate Protein Complexes.
Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008
2007
Maximal Biclique Subgraphs and Closed Pattern Pairs of the Adjacency Matrix: A One-to-One Correspondence and Mining Algorithms.
IEEE Trans. Knowl. Data Eng., 2007
Strong Compound-Risk Factors: Efficient Discovery Through Emerging Patterns and Contrast Sets.
IEEE Trans. Inf. Technol. Biomed., 2007
Discovering Patterns of DNA Methylation: Rule Mining with Rough Sets and Decision Trees, and Comethylation Analysis.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007
Multidimensional Decision Support Indicator (mDSI) for Time Series Stock Trend Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Mining statistically important equivalence classes and delta-discriminative emerging patterns.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the 23rd International Conference on Data Engineering, 2007
2006
Discovering motif pairs at interaction sites from protein sequences on a proteome-wide scale.
Bioinform., 2006
Positive Borders or Negative Borders: How to Make Lossless Generator Based Representations Concise.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
Mining Maximal Quasi-Bicliques to Co-Cluster Stocks and Financial Ratios for Value Investment.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006
Proceedings of the Database Systems for Advanced Applications, 2006
Proceedings of the Proceedings, 2006
2005
IEEE Trans. Knowl. Data Eng., 2005
Efficient selection of discriminative genes from microarray gene expression data for cancer diagnosis.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
Knowl. Inf. Syst., 2005
Bioinform., 2005
DNAFSMiner: a web-based software toolbox to recognize two types of functional sites in DNA sequences.
Bioinform., 2005
Discovery of stable and significant binding motif pairs from PDB complexes and protein interaction datasets.
Bioinform., 2005
Proceedings of the Twenty-fourth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Proceedings of the Database Systems for Advanced Applications, 2005
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005
2004
Mach. Learn., 2004
Silico Biol., 2004
Data Min. Knowl. Discov., 2004
Twelve C2H2 zinc-finger genes on human chromosome 19 can be each translated into the same type of protein after frameshifts.
Bioinform., 2004
Feature Space Transformation for Better Understanding Biological and Medical Classifications.
J. Res. Pract. Inf. Technol., 2004
Discovery of Binding Motif Pairs from Protein Complex Structural Data and Protein Interaction Sequence Data.
Proceedings of the Biocomputing 2004, 2004
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004
Use of Built-in Features in the Interpretation of High-dimensional Cancer Diagnosis Data..
Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004
2003
Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients.
Bioinform., 2003
Proceedings of the Advances in Web-Age Information Management, 2003
Mean-entropy discretized features are effective for classifying high-dimensional biomedical data.
Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003), 2003
Proceedings of the Database Theory, 2003
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Discovery of significant rules for classifying cancer diagnosis data.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003
Proceedings of the First Asia-Pacific Bioinformatics Conference (APBC 2003), 2003
Proceedings of the First Asia-Pacific Bioinformatics Conference (APBC 2003), 2003
2002
Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns .
Bioinform., 2002
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002
Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
2001
Knowl. Inf. Syst., 2001
Proceedings of the Knowledge Discovery and Data Mining, 2001
2000
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
The Space of Jumping Emerging Patterns and Its Incremental Maintenance Algorithms.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Proceedings of the Advances in Computing Science, 2000
1999
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999
Proceedings of the Discovery Science, 1999
1998
Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness.
Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998