Fei Wang

According to our database1, Fei Wang authored at least 189 papers between 2005 and 2019.

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2019
Temporal biomedical data analytics.
Journal of Biomedical Informatics, 2019

2018
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.
CoRR, 2018

Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Cell-specific prediction and application of drug-induced gene expression .
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

MCI : Modeling-based Causality Inference in Audit Logging for Attack Investigation.
Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Forecast of Solar Energy Production - A Deep Learning Approach.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017
Towards Unsupervised Gene Selection: A Matrix Factorization Framework.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Uncovering and predicting the dynamic process of information cascades with survival model.
Knowl. Inf. Syst., 2017

JASIST special issue on biomedical information retrieval.
JASIST, 2017

SPARTan: Scalable PARAFAC2 for Large & Sparse Data.
CoRR, 2017

MPI: Multiple Perspective Attack Investigation with Semantic Aware Execution Partitioning.
Proceedings of the 26th USENIX Security Symposium, 2017

Polyadic Regression and its Application to Chemogenomics.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Computational Drug Discovery with Dyadic Positive-Unlabeled Learning.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

SPARTan: Scalable PARAFAC2 for Large & Sparse Data.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Patient Subtyping via Time-Aware LSTM Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Unsupervised Network Discovery for Brain Imaging Data.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

GaDei: On Scale-Up Training as a Service for Deep Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation.
Proceedings of the Summit on Clinical Research Informatics, 2017

Subtyping Parkinson's Disease with Recurrent Neural Network Models.
Proceedings of the AMIA 2017, 2017

TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Treatment Effect Estimation with Data-Driven Variable Decomposition.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records.
IEEE Trans. Multimedia, 2016

Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue.
TKDD, 2016

Temporal data analytics.
Journal of Biomedical Informatics, 2016

Semi-supervised learning via mean field methods.
Neurocomputing, 2016

Online Behavioral Analysis and Modeling [Guest Editorial].
IEEE Intelligent Systems, 2016

Uncovering and Predicting Human Behaviors.
IEEE Intelligent Systems, 2016

Stochastic convex sparse principal component analysis.
EURASIP J. Bioinformatics and Systems Biology, 2016

Risk Prediction with Electronic Health Records: A Deep Learning Approach.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Healthcare Data Mining with Matrix Models.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Data Mining for Medical Informatics (DMMI) - Learning Health.
Proceedings of the AMIA 2016, 2016

HERCULE: attack story reconstruction via community discovery on correlated log graph.
Proceedings of the 32nd Annual Conference on Computer Security Applications, 2016

2015
Social Recommendation with Cross-Domain Transferable Knowledge.
IEEE Trans. Knowl. Data Eng., 2015

PSF: A Unified Patient Similarity Evaluation Framework Through Metric Learning With Weak Supervision.
IEEE J. Biomedical and Health Informatics, 2015

SocialHelix: visual analysis of sentiment divergence in social media.
J. Visualization, 2015

Towards actionable risk stratification: A bilinear approach.
Journal of Biomedical Informatics, 2015

Mining and exploring care pathways from electronic medical records with visual analytics.
Journal of Biomedical Informatics, 2015

Guest editorial: Special issue on data mining for medicine and healthcare.
Data Min. Knowl. Discov., 2015

Survey on distance metric learning and dimensionality reduction in data mining.
Data Min. Knowl. Discov., 2015

From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics.
CoRR, 2015

Synthesizing Analytic Evidence to Refine Care Pathways.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

Analysis of Care Pathway Variation Patterns in Patient Records.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Non-transitive Hashing with Latent Similarity Components.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Data Analytics in Healthcare Informatics.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Outcomes Prediction via Time Intervals Related Patterns.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning.
Proceedings of the AMIA 2015, 2015

Data-driven Temporal Prediction of Surgical Site Infection.
Proceedings of the AMIA 2015, 2015

Medical Inpatient Journey Modeling and Clustering: A Bayesian Hidden Markov Model Based Approach.
Proceedings of the AMIA 2015, 2015

Probabilistic Attributed Hashing.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Perceiving Group Themes from Collective Social and Behavioral Information.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Social Networks in Healthcare, Case Study.
Encyclopedia of Social Network Analysis and Mining, 2014

Scalable Recommendation with Social Contextual Information.
IEEE Trans. Knowl. Data Eng., 2014

A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data.
Journal of Biomedical Informatics, 2014

Exploring the associations between drug side-effects and therapeutic indications.
Journal of Biomedical Informatics, 2014

1st workshop on diffusion networks and cascade analytics.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Self-Taught Spectral Clustering via Constraint Augmentation.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Care Pathway Workbench: Evidence Harmonization from Guideline and Data.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Clinical risk prediction with multilinear sparse logistic regression.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Unsupervised learning of disease progression models.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Frequence: interactive mining and visualization of temporal frequent event sequences.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014

A Multi-task Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Towards Drug Repositioning: A Unified Computational Framework for Integrating Multiple Aspects of Drug Similarity and Disease Similarity.
Proceedings of the AMIA 2014, 2014

Exploring Joint Disease Risk Prediction.
Proceedings of the AMIA 2014, 2014

Readmission Classification Using Stacked Regularized Logistic Regression Models.
Proceedings of the AMIA 2014, 2014

Clinical Risk Prediction by Exploring High-Order Feature Correlations.
Proceedings of the AMIA 2014, 2014

2013
A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

FeaFiner: biomarker identification from medical data through feature generalization and selection.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Comparing apples to oranges: a scalable solution with heterogeneous hashing.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Cascading outbreak prediction in networks: a data-driven approach.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Optimizing temporal topic segmentation for intelligent text visualization.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Active Learning from Relative Queries.
Proceedings of the IJCAI 2013, 2013

Exploring Patient Risk Groups with Incomplete Knowledge.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Demonstrating Interactive Multi-resolution Large Graph Exploration.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Exploring the Relationship Between Drug Side-Effects and Therapeutic Indications.
Proceedings of the AMIA 2013, 2013

2012
Solution Path for Manifold Regularized Semisupervised Classification.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

A Matrix-Based Approach to Unsupervised Human Action Categorization.
IEEE Trans. Multimedia, 2012

Supervised patient similarity measure of heterogeneous patient records.
SIGKDD Explorations, 2012

Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment.
Statistical Analysis and Data Mining, 2012

Improving clustering by learning a bi-stochastic data similarity matrix.
Knowl. Inf. Syst., 2012

Guest editorial: Special issue on information retrieval for social media.
Inf. Retr., 2012

Case-based reasoning in comparative effectiveness research.
IBM Journal of Research and Development, 2012

Guest editorial: special issue on data mining technologies for computational social science.
Data Min. Knowl. Discov., 2012

SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Medical prognosis based on patient similarity and expert feedback.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Overlapping Clustering with Sparseness Constraints.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Social recommendation across multiple relational domains.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Social contextual recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records.
Proceedings of the AMIA 2012, 2012

A Healthcare Utilization Analysis Framework for Hot Spotting and Contextual Anomaly Detection.
Proceedings of the AMIA 2012, 2012

ICDA: A Platform for Intelligent Care Delivery Analytics.
Proceedings of the AMIA 2012, 2012

2011
Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering.
IEEE Trans. Neural Networks, 2011

Unsupervised Large Margin Discriminative Projection.
IEEE Trans. Neural Networks, 2011

Semisupervised Learning Using Negative Labels.
IEEE Trans. Neural Networks, 2011

Semi-supervised ranking aggregation.
Inf. Process. Manage., 2011

Community discovery using nonnegative matrix factorization.
Data Min. Knowl. Discov., 2011

Guest editorial: special issue on data mining with matrices, graphs and tensors.
Data Min. Knowl. Discov., 2011

Composite hashing with multiple information sources.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Who should share what?: item-level social influence prediction for users and posts ranking.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

iMet: Interactive Metric Learning in Healthcare Applications.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Integrating Distance Metrics Learned from Multiple Experts and its Application in Inter-Patient Similarity Assessment.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Efficient Document Clustering via Online Nonnegative Matrix Factorizations.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

ACM international workshop on social and behavioral networked media access (SBNMA'11).
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Towards Evolutionary Nonnegative Matrix Factorization.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Automatic Group Sparse Coding.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Linear time maximum margin clustering.
IEEE Trans. Neural Networks, 2010

Interactive localized content based image retrieval with multiple-instance active learning.
Pattern Recognition, 2010

A multilevel approach for learning from labeled and unlabeled data on graphs.
Pattern Recognition, 2010

Efficient Nonnegative Matrix Factorization with Random Projections.
Proceedings of the SIAM International Conference on Data Mining, 2010

Learning a Bi-Stochastic Data Similarity Matrix.
Proceedings of the ICDM 2010, 2010

Compressed Nonnegative Sparse Coding.
Proceedings of the ICDM 2010, 2010

Compressed Learning with Regular Concept.
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2009
Block-Quantized Support Vector Ordinal Regression.
IEEE Trans. Neural Networks, 2009

Contextual Mixture Tracking.
IEEE Trans. Multimedia, 2009

Clustering with Local and Global Regularization.
IEEE Trans. Knowl. Data Eng., 2009

marginFace: A novel face recognition method by average neighborhood margin maximization.
Pattern Recognition, 2009

Linear Neighborhood Propagation and Its Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images.
Pattern Anal. Appl., 2009

Collaborative filtering using orthogonal nonnegative matrix tri-factorization.
Inf. Process. Manage., 2009

Neighborhood discriminant tensor mapping.
Neurocomputing, 2009

Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Proceedings of the SIAM International Conference on Data Mining, 2009

Tag Integrated Multi-Label Music Style Classification with Hypergraph.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

M3IC: Maximum Margin Multiple Instance Clustering.
Proceedings of the IJCAI 2009, 2009

Preference Learning with Extreme Examples.
Proceedings of the IJCAI 2009, 2009

Generalized Cluster Aggregation.
Proceedings of the IJCAI 2009, 2009

Maximum Margin Clustering on Data Manifolds.
Proceedings of the ICDM 2009, 2009

Semi-supervised Multi-task Learning with Task Regularizations.
Proceedings of the ICDM 2009, 2009

Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification.
Proceedings of the ICDM 2009, 2009

Knowledge Transformation by Cross-Domain Belief Propagation.
Proceedings of the ICDM Workshops 2009, 2009

Unsupervised Maximum Margin Feature Selection with manifold regularization.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Beyond the graphs: Semi-parametric semi-supervised discriminant analysis.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Efficient multi-label classification with hypergraph regularization.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Semisupervised Learning Based on Generalized Point Charge Models.
IEEE Trans. Neural Networks, 2008

Label Propagation through Linear Neighborhoods.
IEEE Trans. Knowl. Data Eng., 2008

Efficient Maximum Margin Clustering via Cutting Plane Algorithm.
Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-Supervised Classification with Universum.
Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-Supervised Clustering via Matrix Factorization.
Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-supervised Multi-label Learning by Solving a Sylvester Equation.
Proceedings of the SIAM International Conference on Data Mining, 2008

Cuts3vm: a fast semi-supervised svm algorithm.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Efficient multiclass maximum margin clustering.
Proceedings of the Machine Learning, 2008

Localized content based image retrieval by multiple instance active learning.
Proceedings of the International Conference on Image Processing, 2008

Maximum Margin Embedding.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A Joint Matrix Factorization Approach to Unsupervised Action Categorization.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Active model selection for Graph-Based Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2008

Semi-supervised metric learning by maximizing constraint margin.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Semi-supervised ranking aggregation.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Multi-View Local Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Classification by Discriminative Regularization.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

On Discriminative Semi-Supervised Classification.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Semi-supervised Classification Using Local and Global Regularization.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Face recognition using spectral features.
Pattern Recognition, 2007

Semi-Supervised Mean Fields.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Robust self-tuning semi-supervised learning.
Neurocomputing, 2007

Regularized clustering for documents.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Fast Multilevel Transduction on Graphs.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

A Three-Level Scheme for Real-Time Ball Tracking.
Proceedings of the Multimedia Content Analysis and Mining, International Workshop, 2007

Efficient label propagation for interactive image segmentation.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Multilevel Belief Propagation for Fast Inference on Markov Random Fields.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Smoothness Maximization via Gradient Descents.
Proceedings of the IEEE International Conference on Acoustics, 2007

Semi-definite Manifold Alignment.
Proceedings of the Machine Learning: ECML 2007, 2007

Feature Extraction by Maximizing the Average Neighborhood Margin.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Gene Selection via Matrix Factorization.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Clustering with Local and Global Regularization.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Mid-Level Descriptors Extraction of Soccer Video with Domain Knowledge.
Proceedings of the IEEE International Conference on Systems, 2006

Fast Arc Detection Algorithm for Play Field Registration in Soccer Video Mining.
Proceedings of the IEEE International Conference on Systems, 2006

Label propagation through linear neighborhoods.
Proceedings of the Machine Learning, 2006

Recommendation on Item Graphs.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Semi-Supervised Classification Using Linear Neighborhood Propagation.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Boosting GMM and Its Two Applications.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Spectral Clustering for Time Series.
Proceedings of the Pattern Recognition and Data Mining, 2005


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