Joyce C. Ho

Orcid: 0000-0001-9168-3916

Affiliations:
  • Emory University, Atlanta, GA, USA


According to our database1, Joyce C. Ho authored at least 76 papers between 2013 and 2024.

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Bibliography

2024
An AdaBoost-based algorithm to detect hospital-acquired pressure injury in the presence of conflicting annotations.
Comput. Biol. Medicine, January, 2024

LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction.
CoRR, 2024

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM.
CoRR, 2024

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records.
CoRR, 2024

LogicPrpBank: A Corpus for Logical Implication and Equivalence.
CoRR, 2024

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records.
CoRR, 2024

EMBA: Entity Matching using Multi-Task Learning of BERT with Attention-over-Attention.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.
CoRR, 2023

A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback.
CoRR, 2023

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.
CoRR, 2023

MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model.
CoRR, 2023

Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping.
Proceedings of the Machine Learning for Health, 2023

SR-CoMbEr: Heterogeneous Network Embedding Using Community Multi-view Enhanced Graph Convolutional Network for Automating Systematic Reviews.
Proceedings of the Advances in Information Retrieval, 2023

PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

SPLIT: Stance and Persuasion Prediction with Multi-modal on Image and Textual Information.
Proceedings of the 10th Workshop on Argument Mining, 2023

CONSchema: Schema Matching with Semantics and Constraints.
Proceedings of the New Trends in Database and Information Systems, 2023

Neighborhood-Regularized Self-Training for Learning with Few Labels.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian.
CoRR, 2022

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning.
CoRR, 2022

A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022.
CoRR, 2022

Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR.
Proceedings of the Machine Learning for Health, 2022

GDA-AM: On the Effectiveness of Solving Min-Imax Optimization via Anderson Mixing.
Proceedings of the Tenth International Conference on Learning Representations, 2022

PubMed Author-assigned Keyword Extraction (PubMedAKE) Benchmark.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Conference on Health, Inference, and Learning (CHIL) 2022.
Proceedings of the Conference on Health, Inference, and Learning, 2022

2021
Tackling Overfitting in Boosting for Noisy Healthcare Data.
IEEE Trans. Knowl. Data Eng., 2021

Solve Minimax Optimization by Anderson Acceleration.
CoRR, 2021

CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data.
CoRR, 2021

Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests.
Comput. Biol. Medicine, 2021

Examining the Concordance in the Documented Pressure Injury Site, Stage, and Count in Medical Information Mart for Intensive Care-III.
Appl. Clin. Inform., 2021

Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics.
Proceedings of the WWW '21: The Web Conference 2021, 2021

You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CATAN: Chart-aware temporal attention network for adverse outcome prediction.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Communication Efficient Tensor Factorization for Decentralized Healthcare Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

Cross-modal Memory Fusion Network for Multimodal Sequential Learning with Missing Values.
Proceedings of the Advances in Information Retrieval, 2021

Temporal Network Embedding via Tensor Factorization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Controlled molecule generator for optimizing multiple chemical properties.
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

Word centrality constrained representation for keyphrase extraction.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Uncertainty-based Self-training for Biomedical Keyphrase Extraction.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

SMAT: An Attention-Based Deep Learning Solution to the Automation of Schema Matching.
Proceedings of the Advances in Databases and Information Systems, 2021

GASP: Graph-Based Approximate Sequential Pattern Mining for Electronic Health Records.
Proceedings of the New Trends in Database and Information Systems, 2021

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

2020
Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Spatio-Temporal Tensor Sketching via Adaptive Sampling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

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

Accelerated SGD for Tensor Decomposition of Sparse Count Data.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

CaliForest: calibrated random forest for health data.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

MMiDaS-AE: multi-modal missing data aware stacked autoencoder for biomedical abstract screening.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

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

Fast and Accurate Tensor Decomposition without a High Performance Computing Machine.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Pressure Ulcer Injury in Unstructured Clinical Notes: Detection and Interpretation.
Proceedings of the AMIA 2020, 2020

2019
PMCVec: Distributed phrase representation for biomedical text processing.
J. Biomed. Informatics X, 2019

Distributed Tensor Decomposition for Large Scale Health Analytics.
Proceedings of the World Wide Web Conference, 2019

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

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

NamedKeys: Unsupervised Keyphrase Extraction for Biomedical Documents.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization.
CoRR, 2018

PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques.
CoRR, 2018

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

Phenotyping through Semi-Supervised Tensor Factorization (PSST).
Proceedings of the AMIA 2018, 2018

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

CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Learning from different perspectives: Robust cardiac arrest prediction via temporal transfer learning.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

gamAID: Greedy CP tensor decomposition for supervised EHR-based disease trajectory differentiation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

PheKnow-Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature.
Proceedings of the Summit on Clinical Research Informatics, 2017

2016
ACDC: $α$-Carving Decision Chain for Risk Stratification.
CoRR, 2016

Automated Verification of Phenotypes using PubMed.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2014
Septic Shock Prediction for Patients with Missing Data.
ACM Trans. Manag. Inf. Syst., 2014

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

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

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

2013
Risk Prediction of a Multiple Sclerosis Diagnosis.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Multivariate temporal symptomatic characterization of cardiac arrest.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

DYNACARE: Dynamic Cardiac Arrest Risk Estimation.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013


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