Joyce C. Ho
Orcid: 0000-0001-9168-3916Affiliations:
- Emory University, Atlanta, GA, USA
According to our database1,
Joyce C. Ho
authored at least 89 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on twitter.com
-
on orcid.org
On csauthors.net:
Bibliography
2024
An AdaBoost-based algorithm to detect hospital-acquired pressure injury in the presence of conflicting annotations.
Comput. Biol. Medicine, January, 2024
Is thermography a viable solution for detecting pressure injuries in dark skin patients?
CoRR, 2024
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.
CoRR, 2024
Large Language Models for Integrating Social Determinant of Health Data: A Case Study on Heart Failure 30-Day Readmission Prediction.
CoRR, 2024
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR.
CoRR, 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
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records.
CoRR, 2024
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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
HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 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
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
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
Proceedings of the New Trends in Database and Information Systems, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
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
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Conference on Health, Inference, and Learning, 2022
2021
IEEE Trans. Knowl. Data Eng., 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
CrowdTeacher: Robust Co-teaching with Noisy Answers and Sample-Specific Perturbations for Tabular Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 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
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021
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
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
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
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
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
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the AMIA 2020, 2020
2019
J. Biomed. Informatics X, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the Machine Learning for Healthcare Conference, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
CoRR, 2018
PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques.
CoRR, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
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
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
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
2014
ACM Trans. Manag. Inf. Syst., 2014
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
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2005
Using context-aware computing to reduce the perceived burden of interruptions from mobile devices.
Proceedings of the 2005 Conference on Human Factors in Computing Systems, 2005