Jimeng Sun

Affiliations:
  • University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
  • IBM Thomas J. Watson Research Center, USA (former)
  • Georgia Institute of Technology, College of Computing, GA, USA (former)
  • Carnegie Mellon University, Pittsburgh, PA, USA (PhD 2007)
  • Hong Kong University of Science and Technology, Department of Computer Science, Hong Kong (former)


According to our database1, Jimeng Sun authored at least 328 papers between 2002 and 2024.

Collaborative distances:

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Bibliography

2024
DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients.
npj Digit. Medicine, 2024

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models.
CoRR, 2024

Recent Advances in Predictive Modeling with Electronic Health Records.
CoRR, 2024

PILOT: Legal Case Outcome Prediction with Case Law.
CoRR, 2024

2023
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus.
J. Am. Medical Informatics Assoc., December, 2023

Scientific discovery in the age of artificial intelligence.
Nat., 2023

Stoichiometry Representation Learning with Polymorphic Crystal Structures.
CoRR, 2023

ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation.
CoRR, 2023

Conformal Drug Property Prediction with Density Estimation under Covariate Shift.
CoRR, 2023

PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming.
CoRR, 2023

Molecular De Novo Design through Transformer-based Reinforcement Learning.
CoRR, 2023

UniPredict: Large Language Models are Universal Tabular Predictors.
CoRR, 2023

CITING: Large Language Models Create Curriculum for Instruction Tuning.
CoRR, 2023

PIE: Simulating Disease Progression via Progressive Image Editing.
CoRR, 2023

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.
CoRR, 2023

Matching Patients to Clinical Trials with Large Language Models.
CoRR, 2023

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR, 2023

PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development.
CoRR, 2023

FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection.
CoRR, 2023

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.
CoRR, 2023

GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs.
CoRR, 2023

AnyPredict: Foundation Model for Tabular Prediction.
CoRR, 2023

BIOT: Cross-data Biosignal Learning in the Wild.
CoRR, 2023

Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model.
CoRR, 2023

BIOT: Biosignal Transformer for Cross-data Learning in the Wild.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Iterative Self-Learning Framework for Medical Domain Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PyHealth: A Deep Learning Toolkit for Healthcare Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MedLink: De-Identified Patient Health Record Linkage.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TWIN: Personalized Clinical Trial Digital Twin Generation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control.
Proceedings of the International Conference on Machine Learning, 2023

ManyDG: Many-domain Generalization for Healthcare Applications.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

AutoTrial: Prompting Language Models for Clinical Trial Design.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Conformal Prediction Intervals with Temporal Dependence.
Trans. Mach. Learn. Res., 2022

CHEER: Rich Model Helps Poor Model via Knowledge Infusion.
IEEE Trans. Knowl. Data Eng., 2022

MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization.
IEEE Trans. Knowl. Data Eng., 2022

HINT: Hierarchical interaction network for clinical-trial-outcome predictions.
Patterns, 2022

Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning.
CoRR, 2022

Knowledge-Driven New Drug Recommendation.
CoRR, 2022

Artificial Intelligence for In Silico Clinical Trials: A Review.
CoRR, 2022

Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision.
CoRR, 2022

TransTab: Learning Transferable Tabular Transformers Across Tables.
CoRR, 2022

Clinical trial site matching with improved diversity using fair policy learning.
CoRR, 2022

MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design.
CoRR, 2022

Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It.
CoRR, 2022

JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion.
CoRR, 2022

PopNet: Real-Time Population-Level Disease Prediction with Data Latency.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

ATD: Augmenting CP Tensor Decomposition by Self Supervision.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TransTab: Learning Transferable Tabular Transformers Across Tables.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conformal Prediction with Temporal Quantile Adjustments.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforced Genetic Algorithm for Structure-based Drug Design.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision.
Proceedings of the Machine Learning for Healthcare Conference, 2022

Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

SIPF: Sampling Method for Inverse Protein Folding.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Differentiable Scaffolding Tree for Molecule Optimization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

PAC-Bayes Information Bottleneck.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SurvTRACE: transformers for survival analysis with competing events.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy.
Proc. VLDB Endow., 2021

Dealer: An End-to-End Model Marketplace with Differential Privacy.
Proc. VLDB Endow., 2021

Machine learning applications for therapeutic tasks with genomics data.
Patterns, 2021

SynTEG: a framework for temporal structured electronic health data simulation.
J. Am. Medical Informatics Assoc., 2021

FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.
J. Am. Medical Informatics Assoc., 2021

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.
J. Am. Medical Informatics Assoc., 2021

Self-supervised EEG Representation Learning for Automatic Sleep Staging.
CoRR, 2021

Differentiable Scaffolding Tree for Molecular Optimization.
CoRR, 2021

Augmented Tensor Decomposition with Stochastic Optimization.
CoRR, 2021

Locally Valid and Discriminative Confidence Intervals for Deep Learning Models.
CoRR, 2021

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations.
CoRR, 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics.
CoRR, 2021

HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data.
CoRR, 2021

PyHealth: A Python Library for Health Predictive Models.
CoRR, 2021

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization.
Bioinform., 2021

MolTrans: Molecular Interaction Transformer for drug-target interaction prediction.
Bioinform., 2021

DeepPurpose: a deep learning library for drug-target interaction prediction.
Bioinform., 2021

AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings.
Proceedings of the WWW '21: The Web Conference 2021, 2021

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Locally Valid and Discriminative Prediction Intervals for Deep Learning Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.
Proceedings of Machine Learning and Systems 2021, 2021

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.
Proceedings of the Machine Learning for Healthcare Conference, 2021

MTC: Multiresolution Tensor Completion from Partial and Coarse Observations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Advances in Mining Heterogeneous Healthcare Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Change Matters: Medication Change Prediction with Recurrent Residual Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-version Tensor Completion for Time-delayed Spatio-temporal Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

CUP: Cluster Pruning for Compressing Deep Neural Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

HAR: Hardness Aware Reweighting for Imbalanced Datasets.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

SPEAR: self-supervised post-training enhancer for molecule optimization.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Fusion: Towards Automated ICD Coding via Feature Compression.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Introduction to Deep Learning for Healthcare
Springer, ISBN: 978-3-030-82183-8, 2021

2020
Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work.
J. Biomed. Informatics, 2020

Ensuring electronic medical record simulation through better training, modeling, and evaluation.
J. Am. Medical Informatics Assoc., 2020

Dr. Agent: Clinical predictive model via mimicked second opinions.
J. Am. Medical Informatics Assoc., 2020

CarePre: An Intelligent Clinical Decision Assistance System.
ACM Trans. Comput. Heal., 2020

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.
CoRR, 2020

DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data.
CoRR, 2020

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning.
CoRR, 2020

ELF: An Early-Exiting Framework for Long-Tailed Classification.
CoRR, 2020

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification.
CoRR, 2020

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks.
CoRR, 2020

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.
CoRR, 2020

SUOD: A Scalable Unsupervised Outlier Detection Framework.
CoRR, 2020

CLARA: Clinical Report Auto-completion.
CoRR, 2020

DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction.
CoRR, 2020

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.
Comput. Biol. Medicine, 2020

Patient-Trial Matching with Deep Embedding and Entailment Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

StageNet: Stage-Aware Neural Networks for Health Risk Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Clinical Report Auto-completion.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates.
Proceedings of the 37th International Conference on Machine Learning, 2020

ViVA: Semi-supervised Visualization via Variational Autoencoders.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

TASTE: temporal and static tensor factorization for phenotyping electronic health records.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

α-MOP: Molecule optimization with α-divergence.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

CASTER: Predicting Drug Interactions with Chemical Substructure Representation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

CORE: Automatic Molecule Optimization Using Copy & Refine Strategy.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

CONAN: Complementary Pattern Augmentation for Rare Disease Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records.
IEEE Trans. Vis. Comput. Graph., 2019

Smile: A System to Support Machine Learning on EEG Data at Scale.
Proc. VLDB Endow., 2019

Optimizing sparse tensor times matrix on GPUs.
J. Parallel Distributed Comput., 2019

Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization.
J. Biomed. Informatics, 2019

CUP: Cluster Pruning for Compressing Deep Neural Networks.
CoRR, 2019

GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks.
CoRR, 2019

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model.
CoRR, 2019

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks.
CoRR, 2019

Longitudinal Adversarial Attack on Electronic Health Records Data.
Proceedings of the World Wide Web Conference, 2019

Guaranteed Scalable Learning of Latent Tree Models.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

CP Tensor Decomposition with Cannot-Link Intermode Constraints.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

EEGtoText: Learning to Write Medical Reports from EEG Recordings.
Proceedings of the Machine Learning for Healthcare Conference, 2019

SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Tutorial: Data Mining Methods for Drug Discovery and Development.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Pre-training of Graph Augmented Transformers for Medication Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

RDPD: Rich Data Helps Poor Data via Imitation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DDL: Deep Dictionary Learning for Predictive Phenotyping.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Efficient and effective sparse tensor reordering.
Proceedings of the ACM International Conference on Supercomputing, 2019

Clinical Concept Extraction for Document-Level Coding.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

PEARL: Prototype Learning via Rule Learning.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Hierarchical Reinforcement Learning for Course Recommendation in MOOCs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.
J. Am. Medical Informatics Assoc., 2018

Expert-level sleep scoring with deep neural networks.
J. Am. Medical Informatics Assoc., 2018

CarePre: An Intelligent Clinical Decision Assistance System.
CoRR, 2018

AWE: Asymmetric Word Embedding for Textual Entailment.
CoRR, 2018

RDPD: Rich Data Helps Poor Data via Imitation.
CoRR, 2018

HAMLET: Interpretable Human And Machine co-LEarning Technique.
CoRR, 2018

HiCOO: hierarchical storage of sparse tensors.
Proceedings of the International Conference for High Performance Computing, 2018

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Explainable Prediction of Medical Codes from Clinical Text.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

COPA: Constrained PARAFAC2 for Sparse & Large Datasets.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Using recurrent neural network models for early detection of heart failure onset.
J. Am. Medical Informatics Assoc., 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

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks.
Proceedings of the Machine Learning for Health Care Conference, 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.
J. Biomed. Informatics, 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

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.
Artif. Intell. 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

Advanced Machine Learning for Healthcare.
Proceedings of the Summit on Clinical Research Informatics, 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. Biomed. Health Informatics, 2015

Data and Analytics Challenges for a Learning Healthcare System.
ACM J. Data Inf. Qual., 2015

Building bridges across electronic health record systems through inferred phenotypic topics.
J. Biomed. Informatics, 2015

Trends in biomedical informatics: automated topic analysis of JAMIA articles.
J. Am. Medical Informatics Assoc., 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.
J. Biomed. Informatics, 2014

Limestone: High-throughput candidate phenotype generation via tensor factorization.
J. Biomed. Informatics, 2014

Informatics methods in medical privacy.
J. Biomed. Informatics, 2014

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

Predicting changes in hypertension control using electronic health records from a chronic disease management program.
J. Am. Medical Informatics Assoc., 2014

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

Toward smarter healthcare: Anonymizing medical data to support research studies.
IBM J. Res. Dev., 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. Affect. Comput., 2012

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

Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment.
Stat. Anal. Data Min., 2012

Leveraging medical thesauri and physician feedback for improving medical literature retrieval for case queries.
J. Am. Medical Informatics Assoc., 2012

Real-time analysis for short-term prognosis in intensive care.
IBM J. Res. Dev., 2012

Case-based reasoning in comparative effectiveness research.
IBM J. Res. Dev., 2012

Multifaceted visual analytics for healthcare applications.
IBM J. Res. Dev., 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.
ACM Trans. Knowl. Discov. Data, 2011

Community Discovery via Metagraph Factorization.
ACM Trans. Knowl. Discov. Data, 2011

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

Information technology for healthcare transformation.
IBM J. Res. Dev., 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

Community Evolution and Change Point Detection in Time-Evolving Graphs.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
AIM-HI: A framework for request routing in large-scale IT global service delivery.
IBM J. Res. Dev., 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.
ACM Trans. Knowl. Discov. Data, 2008

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

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

Less is More: Sparse Graph Mining with Compact Matrix Decomposition.
Stat. Anal. Data Min., 2008

Two heads better than one: pattern discovery in time-evolving multi-aspect data.
Data Min. Knowl. Discov., 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.
ACM SIGOPS Oper. Syst. Rev., 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 Explor., 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 29th International Conference on Very Large Data Bases, 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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