Fei Wang
Orcid: 0000-0001-9459-9461Affiliations:
- Cornell University, Weill Cornell Medical College, Ithaca, NY, USA
- University of Connecticut, Storrs, CT, USA (former)
- IBM T. J. Watson Research Center, USA (former)
- Florida International University, Miami, FL, USA (former)
According to our database1,
Fei Wang
authored at least 398 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals.
Patterns, January, 2024
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation.
Patterns, 2024
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.
npj Digit. Medicine, 2024
Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling.
npj Digit. Medicine, 2024
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling.
npj Digit. Medicine, 2024
J. Vis. Commun. Image Represent., 2024
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness.
J. Biomed. Informatics, 2024
J. Biomed. Informatics, 2024
CoRR, 2024
Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data.
ACM Trans. Inf. Syst., October, 2023
J. Biomed. Informatics, October, 2023
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease.
J. Biomed. Informatics, August, 2023
Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access.
Comput. Biol. Medicine, June, 2023
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.
Int. J. Medical Informatics, 2023
Expert Syst. J. Knowl. Eng., 2023
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness.
CoRR, 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources.
CoRR, 2023
CoRR, 2023
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations.
CoRR, 2023
CoRR, 2023
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models.
Proceedings of the International Conference on Machine Learning, 2023
Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Can Data Augmentation Improve Daily Mood Prediction from Wearable Data? An Empirical Study.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023
Harnessing Biomedical Literature to Calibrate Clinicians' Trust in AI Decision Support Systems.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
Bioinform., November, 2022
Genom. Proteom. Bioinform., October, 2022
Structural and Textual Information Fusion for Symptom and Disease Representation Learning.
IEEE Trans. Knowl. Data Eng., 2022
A(DP)<sup>2</sup>2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent With Differential Privacy.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
npj Digit. Medicine, 2022
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization.
J. Biomed. Informatics, 2022
J. Biomed. Informatics, 2022
Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data.
J. Am. Medical Informatics Assoc., 2022
J. Am. Medical Informatics Assoc., 2022
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease.
CoRR, 2022
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data.
CoRR, 2022
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising.
CoRR, 2022
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis.
CoRR, 2022
GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
Unraveling the "Other" Diagnosis of Suspected Suicide Attempts at Emergency Department using Natural Language Processing (NLP).
Proceedings of the AMIA 2022, 2022
Proceedings of the AMIA 2022, 2022
Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping.
Proceedings of the AMIA 2022, 2022
Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials.
Proceedings of the AMIA 2022, 2022
2021
Patterns, 2021
Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease.
npj Digit. Medicine, 2021
Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health.
npj Digit. Medicine, 2021
ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries.
J. Heal. Informatics Res., 2021
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review.
J. Biomed. Informatics, 2021
Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups.
J. Am. Medical Informatics Assoc., 2021
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review.
J. Am. Medical Informatics Assoc., 2021
CoRR, 2021
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
An empirical study of using radiology reports and images to improve ICU-mortality prediction.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records.
Proceedings of the IEEE International Conference on Data Mining, 2021
Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Multi-Modal Data Science for Healthcare: State of the Art, Challenges, and Opportunities.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Drug repurposing against Parkinson's disease by text mining the scientific literature.
Libr. Hi Tech, 2020
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks.
J. Biomed. Informatics, 2020
J. Am. Medical Informatics Assoc., 2020
Health Informatics J., 2020
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations.
CoRR, 2020
A(DP)<sup>2</sup>SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy.
CoRR, 2020
CoRR, 2020
xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility.
CoRR, 2020
Comput. Methods Programs Biomed., 2020
Briefings Bioinform., 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach.
Proceedings of the AMIA 2020, 2020
Designing a window into the "black box": User-centered design for improving interpretability of predictive models.
Proceedings of the AMIA 2020, 2020
Deep Representation Learning of Patient Data from Electronic Health Records: A Systematic Review.
Proceedings of the AMIA 2020, 2020
Learning Patient Representations from Electronic Health Records across Diverse Data Types.
Proceedings of the AMIA 2020, 2020
Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language.
Proceedings of the AMIA 2020, 2020
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions.
Proceedings of the Artificial Intelligence in Medicine, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Efficient Mining Template of Predictive Temporal Clinical Event Patterns From Patient Electronic Medical Records.
IEEE J. Biomed. Health Informatics, 2019
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
J. Biomed. Informatics, 2019
CoRR, 2019
CoRR, 2019
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks.
CoRR, 2019
Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization.
Bioinform., 2019
Briefings Bioinform., 2019
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms.
Proceedings of the AMIA 2019, 2019
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.
Proceedings of the AMIA 2019, 2019
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
J. Multivar. Anal., 2018
A fast multi-level algorithm for community detection in directed online social networks.
J. Inf. Sci., 2018
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set.
J. Biomed. Informatics, 2018
Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls.
J. Biomed. Informatics, 2018
Data Min. Knowl. Discov., 2018
The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations.
CoRR, 2018
IEEE Commun. Mag., 2018
Briefings Bioinform., 2018
Comparison of Machine Learning Classifiers for Breast Cancer Diagnosis Based on Feature Selection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018
Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional Network.
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.
Proceedings of the AMIA 2018, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality.
IEEE Trans. Knowl. Data Eng., 2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Semantic relatedness and similarity of biomedical terms: examining the effects of recency, size, and section of biomedical publications on the performance of word2vec.
BMC Medical Informatics Decis. Mak., 2017
Uncovering and predicting the dynamic process of information cascades with survival model.
Knowl. Inf. Syst., 2017
J. Assoc. Inf. Sci. Technol., 2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
MPI: Multiple Perspective Attack Investigation with Semantic Aware Execution Partitioning.
Proceedings of the 26th USENIX Security Symposium, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
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
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 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
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
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
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
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. Multim., 2016
Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue.
ACM Trans. Knowl. Discov. Data, 2016
Pattern Recognit. Lett., 2016
Neurocomputing, 2016
EURASIP J. Bioinform. Syst. Biol., 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016
Poster Paper: Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the AMIA 2016, 2016
Using Hospitalization and Suicide Mortality Data to Identify Subpopulation of High Suicide Risk via Survival Modeling.
Proceedings of the AMIA 2016, 2016
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
IEEE Trans. Knowl. Data Eng., 2015
PSF: A Unified Patient Similarity Evaluation Framework Through Metric Learning With Weak Supervision.
IEEE J. Biomed. Health Informatics, 2015
Pattern Recognit., 2015
J. Biomed. Informatics, 2015
Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare.
J. Biomed. Informatics, 2015
Mining and exploring care pathways from electronic medical records with visual analytics.
J. Biomed. Informatics, 2015
Data Min. Knowl. Discov., 2015
Data Min. Knowl. Discov., 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Digital Healthcare Empowering Europeans, 2015
Proceedings of the Digital Healthcare Empowering Europeans, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
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
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 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
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
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
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Encyclopedia of Social Network Analysis and Mining, 2014
IEEE Trans. Knowl. Data Eng., 2014
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data.
Proc. VLDB Endow., 2014
A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data.
J. Biomed. Informatics, 2014
J. Biomed. Informatics, 2014
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
A Dynamic Nonparametric Model for Characterizing the Topical Communities in Social Streams.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
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
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
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
Who have got answers?: growing the pool of answerers in a smart enterprise social QA system.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014
PEARL: An interactive visual analytic tool for understanding personal emotion style derived from social media.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014
A Multi-task Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
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
Proceedings of the AMIA 2014, 2014
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
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Proceedings of the Business Process Management - 11th International Conference, 2013
Proceedings of the AMIA 2013, 2013
2012
IEEE Trans. Syst. Man Cybern. Part B, 2012
IEEE Trans. Multim., 2012
SIGKDD Explor., 2012
Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment.
Stat. Anal. Data Min., 2012
Pattern Recognit., 2012
Pattern Recognit., 2012
Knowl. Inf. Syst., 2012
Inf. Retr., 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
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
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
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
Proceedings of the AMIA 2012, 2012
2011
Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering.
IEEE Trans. Neural Networks, 2011
IEEE Trans. Neural Networks, 2011
Data Min. Knowl. Discov., 2011
Data Min. Knowl. Discov., 2011
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
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
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
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
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
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
Interactive localized content based image retrieval with multiple-instance active learning.
Pattern Recognit., 2010
Pattern Recognit., 2010
Proceedings of the SIAM International Conference on Data Mining, 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
2009
marginFace: A novel face recognition method by average neighborhood margin maximization.
Pattern Recognit., 2009
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
Inf. Process. Manag., 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
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009
Proceedings of the IJCAI 2009, 2009
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
Proceedings of the ICDM Workshops 2009, 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2008
IEEE Trans. Neural Networks, 2008
Proceedings of the SIAM International Conference on Data Mining, 2008
Proceedings of the SIAM International Conference on Data Mining, 2008
Proceedings of the SIAM International Conference on Data Mining, 2008
Proceedings of the SIAM International Conference on Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the Machine Learning, 2008
Proceedings of the International Conference on Image Processing, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007
Proceedings of the Multimedia Content Analysis and Mining, International Workshop, 2007
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
Proceedings of the IEEE International Conference on Systems, 2006
Proceedings of the IEEE International Conference on Systems, 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
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
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005
Proceedings of the Pattern Recognition and Data Mining, 2005