Fei Wang

Orcid: 0000-0001-9459-9461

Affiliations:
  • 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:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Neural Network Gaussian Processes by Increasing Depth.
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

Improved YOLOv7 model for underwater sonar image object detection.
J. Vis. Commun. Image Represent., 2024

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness.
J. Biomed. Informatics, 2024

A scoping review of fair machine learning techniques when using real-world data.
J. Biomed. Informatics, 2024

Towards Clinical AI Fairness: Filling Gaps in the Puzzle.
CoRR, 2024

Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning.
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

CLAP: Collaborative Adaptation for Patchwork Learning.
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
Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment.
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

A scoping review on multimodal deep learning in biomedical images and texts.
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

A translational perspective towards clinical AI fairness.
npj Digit. Medicine, 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

Retyping of triple-negative breast cancer based on clustering method.
Expert Syst. J. Knowl. Eng., 2023

Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness.
CoRR, 2023

Deep ReLU Networks Have Surprisingly Simple Polytopes.
CoRR, 2023

Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources.
CoRR, 2023

Towards clinical AI fairness: A translational perspective.
CoRR, 2023

FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization.
CoRR, 2023

Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations.
CoRR, 2023

Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks.
CoRR, 2023

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Mining Electronic Health Records for Real-World Evidence.
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

Meta Graph Learning for Long-tail Recommendation.
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
Biomedical evidence engineering for data-driven discovery.
Bioinform., November, 2022

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review.
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

Model-Protected Multi-Task Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multimodal machine learning in precision health: A scoping review.
npj Digit. Medicine, 2022

CODER: Knowledge-infused cross-lingual medical term embedding for term normalization.
J. Biomed. Informatics, 2022

Novel informatics approaches to COVID-19 Research: From methods to applications.
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

Design and validation of a FHIR-based EHR-driven phenotyping toolbox.
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

Multimodal Machine Learning in Precision Health.
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

Manifoldron: Direct Space Partition via Manifold Discovery.
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

Contrastive Graph Structure Learning via Information Bottleneck for Recommendation.
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

Collaboration Equilibrium in Federated Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Patient Similarity Learning with Selective Forgetting.
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

Improving Cell Type Classification in Histology Images with Active Learning.
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
Contrastive learning improves critical event prediction in COVID-19 patients.
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

Federated Learning for Healthcare Informatics.
J. Heal. Informatics Res., 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

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs.
CoRR, 2021

Persona Authentication through Generative Dialogue.
CoRR, 2021

Expressivity and Trainability of Quadratic Networks.
CoRR, 2021

Correcting the User Feedback-Loop Bias for Recommendation Systems.
CoRR, 2021

Fair and Consistent Federated Learning.
CoRR, 2021

Learning to Collaborate.
CoRR, 2021

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.
CoRR, 2021

Recent advances in biomedical literature mining.
Briefings Bioinform., 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

S-LIME: Stabilized-LIME for Model Explanation.
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

Artificial Intelligence for Drug Discovery.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning.
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

Why Attentions May Not Be Interpretable?
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

Online Learning in Variable Feature Spaces with Mixed Data.
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

Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Deep Significance Clustering (DICE) a Heterogenous Population.
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

Mapping scientific landscapes in UMLS research: a scientometric review.
J. Am. Medical Informatics Assoc., 2020

Editorial: Deep learning for medical image analysis.
Neurocomputing, 2020

Knowledge-driven drug repurposing using a comprehensive drug knowledge graph.
Health Informatics J., 2020

Biomedical Knowledge Graph Refinement with Embedding and Logic Rules.
CoRR, 2020

Domain Agnostic Learning for Unbiased Authentication.
CoRR, 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

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning.
CoRR, 2020

Visualizing Deep Graph Generative Models for Drug Discovery.
CoRR, 2020

xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility.
CoRR, 2020

Why is Attention Not So Attentive?
CoRR, 2020

Bregmannian consensus clustering for cancer subtypes analysis.
Comput. Methods Programs Biomed., 2020

Graph convolutional networks for computational drug development and discovery.
Briefings Bioinform., 2020

Network embedding in biomedical data science.
Briefings Bioinform., 2020

General-Purpose User Embeddings based on Mobile App Usage.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Neural Dynamics on Complex Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

MoFlow: An Invertible Flow Model for Generating Molecular Graphs.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Recent Advances on Graph Analytics and Its Applications in Healthcare.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Adversarial Infidelity Learning for Model Interpretation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Interactive Attention Networks for Semantic Text Matching.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Order-Preserving Metric Learning for Mining Multivariate Time Series.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Adversarial Precision Sensing with Healthcare Applications.
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

DeepComp: Which Competing Event Will Hit the Patient First?
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

Federated Patient Hashing.
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

Temporal biomedical data analytics.
J. Biomed. 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

Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records.
CoRR, 2019

Federated Learning for Healthcare Informatics.
CoRR, 2019

Interactive Attention for Semantic Text Matching.
CoRR, 2019

CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation.
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

Drug knowledge bases and their applications in biomedical informatics research.
Briefings Bioinform., 2019

Improved Maximum Margin Clustering via the Bundle Method.
IEEE Access, 2019

CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation.
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

Dynamical Origins of Distribution Functions.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Uncovering Pattern Formation of Information Flow.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Retaining Privileged Information for Multi-Task Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning From Networks: Algorithms, Theory, and Applications.
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

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Crowdsourcing for Mobile Networks and IoT.
Wirel. Commun. Mob. Comput., 2018

Leveraging mixed and incomplete outcomes via reduced-rank modeling.
J. Multivar. Anal., 2018

A fast multi-level algorithm for community detection in directed online social networks.
J. Inf. Sci., 2018

Special Issue on Data Mining in Health Informatics.
J. Heal. Informatics Res., 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

Robust finite mixture regression for heterogeneous targets.
Data Min. Knowl. Discov., 2018

The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations.
CoRR, 2018

Differentially Private Generative Adversarial Network.
CoRR, 2018

Emotion-Aware Cognitive System in Multi-Channel Cognitive Radio Ad Hoc Networks.
IEEE Commun. Mag., 2018

Deep learning for healthcare: review, opportunities and challenges.
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

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

Boosted Sparse and Low-Rank Tensor Regression.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

MCI : Modeling-based Causality Inference in Audit Logging for Attack Investigation.
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

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

Comparing Sex-Specific Association Networks of Chronic Medical Conditions.
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

A Self-Organizing Tensor Architecture for Multi-view Clustering.
Proceedings of the IEEE International Conference on Data Mining, 2018

Heterogeneous Hyper-Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

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

Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk.
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

Structural Deep Embedding for Hyper-Networks.
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

Towards Unsupervised Gene Selection: A Matrix Factorization Framework.
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

<i>JASIST</i> special issue on biomedical information retrieval.
J. Assoc. Inf. Sci. Technol., 2017

Tensor factorization toward precision medicine.
Briefings Bioinform., 2017

MeDJ: Multidimensional Emotion-aware Music Delivery for Adolescent.
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

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

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

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

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

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

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

Nonnegative matrix factorization with adaptive neighbors.
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

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

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

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

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

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

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

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

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

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

Manifold regularized matrix completion for multilabel classification.
Pattern Recognit. Lett., 2016

Temporal data analytics.
J. Biomed. Informatics, 2016

Nonparametric models for characterizing the topical communities in social network.
Neurocomputing, 2016

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

Online Behavioral Analysis and Modeling [Guest Editorial].
IEEE Intell. Syst., 2016

Uncovering and Predicting Human Behaviors.
IEEE Intell. Syst., 2016

Stochastic convex sparse principal component analysis.
EURASIP J. Bioinform. Syst. Biol., 2016

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

Topic Modeling of Short Texts: A Pseudo-Document View.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

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

Robust Word-Network Topic Model for Short Texts.
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

Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients.
Proceedings of the AMIA 2016, 2016

Computational Phenotyping Methods.
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

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

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

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

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

Large-scale eigenvector approximation via Hilbert Space Embedding Nyström.
Pattern Recognit., 2015

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

Towards actionable risk stratification: A bilinear approach.
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

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

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

Modeling Users' Adoption Behaviors with Social Selection and Influence.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

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

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

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

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

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

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

Complementary Aspect-Based Opinion Mining Across Asymmetric Collections.
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

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

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

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

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

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

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

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

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

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

Exploring the associations between drug side-effects and therapeutic indications.
J. Biomed. Informatics, 2014

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

Kaleido: Network Traffic Attribution using Multifaceted Footprinting.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Self-Taught Spectral Clustering via Constraint Augmentation.
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

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

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

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

Quantifying herding effects in crowd wisdom.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Computational discovery of personal traits from social multimedia.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

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

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

Question routing to user communities.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Investigating Clinical Care Pathways Correlated with Outcomes.
Proceedings of the Business Process Management - 11th International Conference, 2013

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

2012
Solution Path for Manifold Regularized Semisupervised Classification.
IEEE Trans. Syst. Man Cybern. Part B, 2012

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

Graph dual regularization non-negative matrix factorization for co-clustering.
Pattern Recognit., 2012

Fast affinity propagation clustering: A multilevel approach.
Pattern Recognit., 2012

Fast semi-supervised clustering with enhanced spectral embedding.
Pattern Recognit., 2012

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

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

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

Semi-supervised learning with mixed knowledge information.
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

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

Learning spectral embedding via iterative eigenvalue thresholding.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learning Spectral Embedding for Semi-supervised Clustering.
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

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

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

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

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

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

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

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

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

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

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

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

Contextual Mixture Tracking.
IEEE Trans. Multim., 2009

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

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

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

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

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

Neighborhood discriminant tensor mapping.
Neurocomputing, 2009

Graph-based semi-supervised learning.
Artif. Life Robotics, 2009

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

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

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

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

Generalized Cluster Aggregation.
Proceedings of the IJCAI 2009, 2009

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

2007
Face recognition using spectral features.
Pattern Recognit., 2007

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


  Loading...