Jimeng Sun

According to our database1, Jimeng Sun
  • authored at least 157 papers between 2002 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Using recurrent neural network models for early detection of heart failure onset.
JAMIA, 2017

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

Federated Tensor Factorization for Computational Phenotyping.
CoRR, 2017

Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.
CoRR, 2017

SLEEPNET: Automated Sleep Staging System via Deep Learning.
CoRR, 2017

Causal Regularization.
CoRR, 2017

Smart Jump: Automated Navigation Suggestion for Videos in MOOCs.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

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

LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 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

Federated Tensor Factorization for Computational Phenotyping.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

GRAM: Graph-based Attention Model for Healthcare Representation Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Model-Driven Sparse CP Decomposition for Higher-Order Tensors.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Granite: Diversified, Sparse Tensor Factorization for Electronic Health Record-Based Phenotyping.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records.
Proceedings of the AMIA 2017, 2017

Computational Phenotyping on Diverse Data Sources.
Proceedings of the AMIA 2017, 2017

Use of Clinical Phenotypes and Non-negative Tensor Factorization for Heart Failure Prediction.
Proceedings of the AMIA 2017, 2017

StructInf: Mining Structural Influence from Social Streams.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Constraint based temporal event sequence mining for Glioblastoma survival prediction.
Journal of Biomedical Informatics, 2016

FLASH: Fast Bayesian Optimization for Data Analytic Pipelines.
CoRR, 2016

Sparse Hierarchical Tucker Factorization and its Application to Healthcare.
CoRR, 2016

Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction.
CoRR, 2016

GRAM: Graph-based Attention Model for Healthcare Representation Learning.
CoRR, 2016

RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism.
CoRR, 2016

Multi-layer Representation Learning for Medical Concepts.
CoRR, 2016

Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.
Artificial Intelligence in Medicine, 2016

The Troll-Trust Model for Ranking in Signed Networks.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks.
Proceedings of the 1st Machine Learning in Health Care, 2016

FLASH: Fast Bayesian Optimization for Data Analytic Pipelines.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Multi-layer Representation Learning for Medical Concepts.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

#PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Computational Phenotyping Methods.
Proceedings of the AMIA 2016, 2016

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

Data and Analytics Challenges for a Learning Healthcare System.
J. Data and Information Quality, 2015

Building bridges across electronic health record systems through inferred phenotypic topics.
Journal of Biomedical Informatics, 2015

Trends in biomedical informatics: automated topic analysis of JAMIA articles.
JAMIA, 2015

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

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks.
CoRR, 2015

Incorporating Social Context and Domain Knowledge for Entity Recognition.
Proceedings of the 24th International Conference on World Wide Web, 2015

An input-adaptive and in-place approach to dense tensor-times-matrix multiply.
Proceedings of the International Conference for High Performance Computing, 2015

Time-Sensitive Recommendation From Recurrent User Activities.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Sparse Hierarchical Tucker Factorization and Its Application to Healthcare.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Clinical Predictive Modeling Development and Deployment through FHIR Web Services.
Proceedings of the AMIA 2015, 2015

Information System for Mobile Immersive Learning Environment for Just-in-Time Learning in Public Health.
Proceedings of the AMIA 2015, 2015

System Architecture of CDC I-SMILE Recommendation Engine.
Proceedings of the AMIA 2015, 2015

Cloud-based Predictive Modeling System and its Application to Asthma Readmission Prediction.
Proceedings of the AMIA 2015, 2015

2014
Clinical Utility of Machine Learning and Longitudinal EHR Data.
Proceedings of the Machine Learning in Healthcare Informatics, 2014

PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records.
Journal of Biomedical Informatics, 2014

Limestone: High-throughput candidate phenotype generation via tensor factorization.
Journal of Biomedical Informatics, 2014

Informatics methods in medical privacy.
Journal of Biomedical Informatics, 2014

Publishing data from electronic health records while preserving privacy: A survey of algorithms.
Journal of Biomedical Informatics, 2014

Predicting changes in hypertension control using electronic health records from a chronic disease management program.
JAMIA, 2014

Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records.
I. J. Medical Informatics, 2014

Toward smarter healthcare: Anonymizing medical data to support research studies.
IBM Journal of Research and Development, 2014

Computational models for social influence analysis: [extended abstract].
Proceedings of the 23rd International World Wide Web Conference, 2014

Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Extracting Phenotypes from Patient Claim Records Using Nonnegative Tensor Factorization.
Proceedings of the Brain Informatics and Health - International Conference, 2014

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

Patent partner recommendation in enterprise social networks.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Models and algorithms for social influence analysis.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Patient Risk Prediction Model via Top-k Stability Selection.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Big Data Analytics in Biomedicine and Health: Trends and Challenges.
Proceedings of the MEDINFO 2013, 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

Confluence: conformity influence in large social networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Big data analytics for healthcare.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Biomedical and Healthcare Analytics on Big Data.
Proceedings of the AMIA 2013, 2013

Dimensionality Reduction and Filtering on Time Series Sensor Streams.
Proceedings of the Managing and Mining Sensor Data, 2013

2012
gbase: an efficient analysis platform for large graphs.
VLDB J., 2012

Quantitative Study of Individual Emotional States in Social Networks.
IEEE Trans. Affective Computing, 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

Leveraging medical thesauri and physician feedback for improving medical literature retrieval for case queries.
JAMIA, 2012

Real-time analysis for short-term prognosis in intensive care.
IBM Journal of Research and Development, 2012

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

Multifaceted visual analytics for healthcare applications.
IBM Journal of Research and Development, 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

Fast Random Walk Graph Kernel.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Cross-domain collaboration recommendation.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

SympGraph: a framework for mining clinical notes through symptom relation graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Latent association analysis of document pairs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and 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

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

MatrixFlow: Temporal Network Visual Analytics to Track Symptom Evolution during Disease Progression.
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
DICON: Interactive Visual Analysis of Multidimensional Clusters.
IEEE Trans. Vis. Comput. Graph., 2011

Introduction to Special Issue on Large-Scale Data Mining.
TKDD, 2011

Community Discovery via Metagraph Factorization.
TKDD, 2011

IEEE VisWeek Workshop on Visual Analytics in Health Care 2010.
SIGHIT Record, 2011

Information technology for healthcare transformation.
IBM Journal of Research and Development, 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

Centralities in Large Networks: Algorithms and Observations.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

GBASE: a scalable and general graph management system.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

SolarMap: Multifaceted Visual Analytics for Topic Exploration.
Proceedings of the 11th IEEE International Conference on Data Mining, 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

Dynamic Social Influence Analysis through Time-Dependent Factor Graphs.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

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

A Survey of Models and Algorithms for Social Influence Analysis.
Proceedings of the Social Network Data Analytics, 2011

2010
FacetAtlas: Multifaceted Visualization for Rich Text Corpora.
IEEE Trans. Vis. Comput. Graph., 2010

ContexTour: Contextual Contour Analysis on Dynamic Multi-relational Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2010

Temporal recommendation on graphs via long- and short-term preference fusion.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Social action tracking via noise tolerant time-varying factor graphs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Localized Supervised Metric Learning on Temporal Physiological Data.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model.
Proceedings of the ICDM 2010, 2010

A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support.
Proceedings of the ICDM 2010, 2010

Medical Case-based Retrieval by Leveraging Medical Ontology and Physician Feedback: UIUC-IBM at ImageCLEF 2010.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

PTM: probabilistic topic mapping model for mining parallel document collections.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
AIM-HI: A framework for request routing in large-scale IT global service delivery.
IBM Journal of Research and Development, 2009

Extracting community structure through relational hypergraphs.
Proceedings of the 18th International Conference on World Wide Web, 2009

MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis.
Proceedings of the SIAM International Conference on Data Mining, 2009

Social influence analysis in large-scale networks.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

MetaFac: community discovery via relational hypergraph factorization.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

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

SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence.
Proceedings of the 25th International Conference on Data Engineering, 2009

HiMap: Adaptive visualization of large-scale online social networks.
Proceedings of the IEEE Pacific Visualization Symposium PacificVis 2009, 2009

2008
Incremental tensor analysis: Theory and applications.
TKDD, 2008

Bayesian Tensor Approach for 3-D Face Modeling.
IEEE Trans. Circuits Syst. Video Techn., 2008

Incremental pattern discovery on streams, graphs and tensors.
SIGKDD Explorations, 2008

Less is More: Sparse Graph Mining with Compact Matrix Decomposition.
Statistical Analysis and Data Mining, 2008

Two heads better than one: pattern discovery in time-evolving multi-aspect data.
Data Min. Knowl. Discov., 2008

Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Hierarchical, Parameter-Free Community Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Colibri: fast mining of large static and dynamic graphs.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Bayesian tensor analysis.
Proceedings of the International Joint Conference on Neural Networks, 2008

DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Scalable Tensor Decompositions for Multi-aspect Data Mining.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Clustered subset selection and its applications on it service metrics.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

SCOOP: Automated Social Recommendation in Enterprise Process Management.
Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2007
Dimensionality Reduction and Forecasting on Streams.
Proceedings of the Data Streams - Models and Algorithms, 2007

Mining large graphs and streams using matrix and tensor tools.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Less is More: Compact Matrix Decomposition for Large Sparse Graphs.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

GraphScope: parameter-free mining of large time-evolving graphs.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Dynamic Mixture Models for Multiple Time-Series.
Proceedings of the IJCAI 2007, 2007

Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
InteMon: continuous mining of sensor data in large-scale self-infrastructures.
Operating Systems Review, 2006

Spatio-temporal join selectivity.
Inf. Syst., 2006

InteMon: Intelligent System Monitoring on Large Clusters.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Distributed Pattern Discovery in Multiple Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Beyond streams and graphs: dynamic tensor analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Local Correlation Tracking in Time Series.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Intelligent system monitoring on large clusters.
Proceedings of the 3rd Workshop on Data Management for Sensor Networks, 2006

2005
Relevance search and anomaly detection in bipartite graphs.
SIGKDD Explorations, 2005

Streaming Pattern Discovery in Multiple Time-Series.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Neighborhood Formation and Anomaly Detection in Bipartite Graphs.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Online Latent Variable Detection in Sensor Networks.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
Querying about the Past, the Present, and the Future in Spatio-Temporal.
Proceedings of the 20th International Conference on Data Engineering, 2004

2003
Analysis of predictive spatio-temporal queries.
ACM Trans. Database Syst., 2003

The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries.
Proceedings of the VLDB 2003, 2003

Selectivity Estimation for Predictive Spatio-Temporal Queries.
Proceedings of the 19th International Conference on Data Engineering, 2003

2002
Indexing and Retrieval of Historical Aggregate Information about Moving Objects.
IEEE Data Eng. Bull., 2002


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