publications

For the most up-to-date list, please see my Google Scholar profile. This page is occasionally updated and generated by jekyll-scholar.

2026

  1. Beyond Composite Indices: Comprehensive Social Determinants Improve Heart Failure Readmission Prediction
    Chase Fensore, Aniruddha Deshpande, Rodrigo M. Carrillo‐Larco, Shivani A. Patel, and Joyce C Ho
    Journal of the American Heart Association, 2026
  2. Subtypes of newly diagnosed type 2 diabetes and risk of complications: analysis of electronic health records in the USA
    Zhongyu Li, Star Liu, Joyce C Ho, KM Venkat Narayan, Mohammed K Ali, and Jithin Sam Varghese
    Diabetologia, 2026

2025

  1. Predicting Atrial Fibrillation Ablation Outcomes: Machine Learning Model Development and Validation Using a Large Administrative Claims Database
    Yijun Liu, Mustapha Oloko-Oba, Kathryn A Wood, Michael S Lloyd, Joyce C Ho, and Vicki Stover Hertzberg
    JMIR cardio, 2025
  2. Using large language models to address the bottleneck of georeferencing natural history collections
    Yuyang Xie, Daniel S Park, Miranda A Sinnott-Armstrong, Joyce Ho, Tianlong Chen, Alan S Weakley, Luis J Aguirre Lopez, Jaein Choi, Marisa M Laitinen, Nicholas A Steeves, and 1 more author
    Nature Plants, 2025
  3. Beyond Random Splitting: Evaluating the Impact of Data Partitioning Strategies on Ventilator-Associated Pneumonia Prediction Using EHRs
    Miriam Asare-Baiden, Wenhui Zhang, Vicki Stover Hertzberg, and Joyce C Ho
    In AMIA Annual Symposium Proceedings, 2025
  4. AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play
    Ran Xu, Yuchen Zhuang, Zihan Dong, Ruiyu Wang, Yue Yu, Joyce C Ho, Linjun Zhang, Haoyu Wang, Wenqi Shi, and Carl Yang
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
  5. Impact of skin tone and cupping on erythema and thermal imaging measurements
    Kathleen Jordan, Glory Tomi John, Andrew Chung, Miriam Asare-Baiden, Vicki Stover Hertzberg, Joyce C Ho, and Sharon Eve Sonenblum
    Scientific Reports, 2025
  6. Retrieval-augmented GUI Agents with Generative Guidelines
    Ran Xu, Kaixin Ma, Wenhao Yu, Hongming Zhang, Joyce C Ho, Carl Yang, and Dong Yu
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
  7. Does Domain-Specific Retrieval Augmented Generation Help LLMs Answer Consumer Health Questions?
    Chase M Fensore, Rodrigo M Carrillo-Larco, Megha K Shah, and Joyce C Ho
    In Machine Learning for Healthcare Conference, 2025
  8. Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
    Ran Xu, Wenqi Shi, Yuchen Zhuang, Yue Yu, Joyce C Ho, Haoyu Wang, and Carl Yang
    In Second Conference on Language Modeling, 2025
  9. Impact of skin tone, environmental, and technical factors on thermal imaging
    Sharon Eve Sonenblum, Kathleen Jordan, Glory Tomi John, Andrew Chung, Miriam Asare-Baiden, Jordan Pelkmans, Judy Wawira Gichoya, Vicki Stover Hertzberg, and Joyce C Ho
    Plos one, 2025
  10. TransFed: cross-domain feature alignment for semi-supervised federated transfer learning
    Linghui Zeng, Ruixuan Liu, Li Xiong, and Joyce C Ho
    Machine Learning, 2025
  11. The next stage of biodiversity informatics: community-driven synthesis and integration of biodiversity databases
    Xiao Feng, Adam B Smith, Brad Boyle, Xin Chen, Brian J Enquist, Rachael Gallagher, Jennifer Hammock, Joyce C Ho, Aaron M Lien, Brian Maitner, and 5 more authors
    BioScience, 2025
  12. A review on knowledge graphs for healthcare: Resources, applications, and promises
    Hejie Cui, Jiaying Lu, Ran Xu, Shiyu Wang, Wenjing Ma, Yue Yu, Shaojun Yu, Xuan Kan, Chen Ling, Liang Zhao, and 7 more authors
    Journal of Biomedical Informatics, 2025
  13. A Large Language Model Analysis of Global Inequities in Precision Medicine Research on Diabetes
    Aamna Soniwala, Sophia Kim, Jill Welkley, Joyce C Ho, and Jithin Sam Varghese
    Annals of Epidemiology, 2025
  14. LLMs as Medical Safety Judges: Evaluating Alignment with Human Annotation in Patient-Facing QA
    Yella Diekmann, Chase Fensore, Rodrigo Carrillo-Larco, Eduard Castejon Rosales, Sakshi Shiromani, Rima Pai, Megha Shah, and Joyce Ho
    In Proceedings of the 24th Workshop on Biomedical Language Processing, 2025
  15. SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
    Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C Ho, Carl Yang, and 1 more author
    In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2025
  16. Unraveling Complex Temporal Patterns in EHRs via Robust Irregular Tensor Factorization
    Ren Yifei, Linghui Zeng, Jian Lou, Li Xiong, Joyce C Ho, Xiaoqian Jiang, and Sivasubramanium V Bhavani
    AMIA Summits on Translational Science Proceedings, 2025
  17. Evaluating Safety of Large Language Models for Patient-facing Medical Question Answering
    Yella Diekmann, Chase M Fensore, Rodrigo M Carrillo-Larco, Nishant Pradhan, Bhavya Appana, and Joyce C Ho
    In Proceedings of the 4th Machine Learning for Health Symposium, 2025
  18. LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction
    Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C Ho, and Carl Yang
    In AMIA Annual Symposium Proceedings, 2025

2024

  1. EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
    Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce Ho, Carl Yang, and May D. Wang
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
  2. Bmretriever: Tuning large language models as better biomedical text retrievers
    Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D Wang, Joyce C Ho, Chao Zhang, and Carl Yang
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
  3. HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures
    Eric W Lee, Bo Xiong, Carl Yang, and Joyce C Ho
    In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
  4. TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
    Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C Ho, and Carl Yang
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
  5. LLMSYN: Generating Synthetic Electronic Health Records Without Patient-Level Data
    Yijie Hao, Huan He, and Joyce C Ho
    In Proceedings of the 9th Machine Learning for Healthcare Conference, 2024
  6. Knowledge-infused prompting: Assessing and advancing clinical text data generation with large language models
    Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce Ho, and Carl Yang
    In Findings of the Association for Computational Linguistics ACL 2024, 2024
  7. Social determinants improve prediction of 30-day readmission in Black and White patients hospitalized for heart failure
    Chase M Fensore, Joyce Ho, Shivani Patel, Rodrigo Carrillo-Larco, and Alanna A Morris
    2024
    American College of Cardiology Conference
  8. EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
    Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C Ho, Carl Yang, and May Dongmei Wang
    In ICLR 2024 Workshop on Large Language Model (LLM) Agents, 2024
  9. PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
    Yuzhang Xie, Jiaying Lu, Joyce Ho, Fadi Nahab, Xiao Hu, and Carl Yang
    In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
  10. From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR
    Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C Ho, and Carl Yang
    In Proceedings of the fifth Conference on Health, Inference, and Learning, 27–28 jun 2024
  11. A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
    Huan He, William Hao, Yuanzhe Xi, Yong Chen, Bradley Malin, and Joyce Ho
    In The Twelfth International Conference on Learning Representations, 27–28 jun 2024
  12. EMBA: Entity Matching using Multi-Task Learning of BERT with Attention-over-Attention
    Jing Zhang, Huan Sun, and Joyce C Ho
    In Proceedings of the 27th International Conference on Extending Database Technology, 27–28 jun 2024

2023

  1. PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning
    Eric W Lee and Joyce C Ho
    In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 27–28 jun 2023
  2. SPLIT: Stance and Persuasion Prediction with Multi-modal on Image and Textual Information
    Jing Zhang, Shaojun Yu, Xuan Li, Jia Geng, Zhiyuan Zheng, and Joyce Ho
    In Proceedings of the 10th Workshop on Argument Mining, 27–28 jun 2023
    HTML PDF
  3. MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping
    Yifei Ren, Jian Lou, Li Xiong, Joyce C Ho, Xiaoqian Jiang, and Sivasubramanium Venkatraman Bhavani
    In Proceedings of the 3rd Machine Learning for Health Symposium, 27–28 jun 2023
    HTML PDF
  4. An AdaBoost-based algorithm to detect hospital-acquired pressure injury in the presence of conflicting annotations
    Joyce C Ho, Mani Sotoodeh, Wenhui Zhang, Roy L Simpson, and Vicki Stover Hertzberg
    Computers in Biology and Medicine, 27–28 jun 2023
  5. CONSchema: Schema matching with semantics and constraints
    Kevin Wu, Jing Zhang, and Joyce C Ho
    In European Conference on Advances in Databases and Information Systems, 27–28 jun 2023
  6. Evaluating Natural Language Processing Packages for Predicting Hospital-Acquired Pressure Injuries From Clinical Notes
    Siyi Gu, Eric W Lee, Wenhui Zhang, Roy L Simpson, Vicki Stover Hertzberg, and Joyce C Ho
    CIN: Computers, Informatics, Nursing, 27–28 jun 2023
  7. A survey on knowledge graphs for healthcare: Resources, application progress, and promise
    Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, and 1 more author
    In ICML 3rd Workshop on Interpretable Machine Learning in Healthcare, 27–28 jun 2023
  8. Weakly-supervised scientific document classification via retrieval-augmented multi-stage training
    Ran Xu, Yue Yu, Joyce Ho, and Carl Yang
    In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 27–28 jun 2023
  9. A comprehensive and improved definition for hospital-acquired pressure injury classification based on electronic health records: Comparative Study
    Mani Sotoodeh, Wenhui Zhang, Roy L Simpson, Vicki Stover Hertzberg, Joyce C Ho, and others
    JMIR Medical Informatics, 27–28 jun 2023
    HTML PDF
  10. Hypergraph Transformers for EHR-based Clinical Predictions
    Ran Xu, Mohammed K Ali, Joyce C Ho, and Carl Yang
    AMIA Summits on Translational Science Proceedings, 27–28 jun 2023
  11. SR-CoMbEr: Heterogeneous network embedding using community multi-view enhanced graph convolutional network for automating systematic reviews
    Eric W Lee and Joyce C Ho
    In European Conference on Information Retrieval, 27–28 jun 2023
    HTML PDF
  12. Evaluation of available risk scores to predict multiple cardiovascular complications for patients with type 2 diabetes mellitus using electronic health records
    Joyce C Ho, Lisa R Staimez, KM Venkat Narayan, Lucila Ohno-Machado, Roy L Simpson, and Vicki Stover Hertzberg
    Computer Methods and Programs in Biomedicine Update, 27–28 jun 2023
    HTML PDF Code
  13. Hepatitis C care cascade in a large academic healthcare system, 2012 to 2018
    Jasmine Nakayama, Vicki S Hertzberg, Joyce C Ho, Roy L Simpson, and Emily J Cartwright
    Medicine, 27–28 jun 2023
    HTML PDF

2022

  1. Best Paper
    Counterfactual and factual reasoning over hypergraphs for interpretable clinical predictions on EHR
    Ran Xu, Yue Yu, Chao Zhang, Mohammed K Ali, Joyce C Ho, and Carl Yang
    In Proceedings of the 2nd Machine Learning for Health symposium, 27–28 jun 2022
    HTML PDF
  2. PubMed Author-assigned Keyword Extraction (PubMedAKE) Benchmark
    Jiasheng Sheng, Zelalem Gero, and Joyce C Ho
    In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 27–28 jun 2022
    HTML PDF Code
  3. GDA-AM: On the effectiveness of solving mini-max optimization via Anderson mixing
    Huan He, Shifan Zhao, Yuanzhe Xi, Joyce Ho, and Yousef Saad
    In International Conference on Learning Representations, 27–28 jun 2022
    HTML PDF
  4. GDA-AM: On the effectiveness of solving mini-max optimization via Anderson mixing
    Huan He, Shifan Zhao, Yuanzhe Xi, Joyce Ho, and Yousef Saad
    In International Conference on Learning Representations, 27–28 jun 2022
    HTML PDF

2021

  1. Temporal network embedding via tensor factorization
    Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, and Joyce C Ho
    In Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 27–28 jun 2021
    HTML PDF
  2. SMAT: An attention-based deep learning solution to the automation of schema matching
    Jing Zhang, Bonggun Shin, Jinho Choi, and Joyce C Ho
    In Proceedings of the 25th European Conference on Advances in Databases and Information Systems, 27–28 jun 2021
    PDF Code
  3. GASP: Graph-based approximate sequential pattern mining for electronic health records
    Wenqin Dong, Eric W Lee, Vicki Stover Hertzberg, Roy L Simpson, and Joyce C Ho
    In Proceedings of the 25th European Conference on Advances in Databases and Information Systems, 27–28 jun 2021
    PDF Code
  4. SMAT: An attention-based deep learning solution to the automation of schema matching
    Jing Zhang, Bonggun Shin, Jinho Choi, and Joyce C Ho
    In Proceedings of the 25th European Conference on Advances in Databases and Information Systems, 27–28 jun 2021
    PDF Code
  5. GASP: Graph-based approximate sequential pattern mining for electronic health records
    Wenqin Dong, Eric W Lee, Vicki Stover Hertzberg, Roy L Simpson, and Joyce C Ho
    In Proceedings of the 25th European Conference on Advances in Databases and Information Systems, 27–28 jun 2021
    PDF Code
  6. CATAN: Chart-aware temporal attention network for adverse outcome prediction
    Zelalem Gero and Joyce C Ho
    In IEEE International Conference on Healthcare Informatics, 27–28 jun 2021
    PDF
  7. Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests
    Jasmine Nakayama, Joyce C Ho, Emily Cartwright, Roy L Simpson, and Vicki Stover Hertzberg
    Computers in Biology and Medicine, 27–28 jun 2021
    HTML PDF
  8. Communication efficient tensor factorization for decentralized healthcare networks
    Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, and Joyce C Ho
    In 2021 IEEE International Conference on Data Mining (ICDM), 27–28 jun 2021
    HTML PDF
  9. Diabetes and hypertension among South Asians in New York and Atlanta leveraging hospital electronic health records
    Jeannette M Beasley, Joyce C Ho, Sarah Conderino, Lorna E Thorpe, Megha Shah, Unjali P Gujral, Jennifer Zanowiak, and Nadia Islam
    Diabetology & metabolic syndrome, 27–28 jun 2021
    HTML PDF
  10. Examination of the accuracy of coding pressure injury amount, site, and stage in MIMIC-III
    Wenhui Zhang, Mani Sotoodeh, Joyce C Ho, Roy L Simpson, and Vicki Stover Hertzberg
    Applied Clinical Informatics, 27–28 jun 2021
    PDF
  11. Temporal network embedding via tensor factorization
    Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, and Joyce C Ho
    In Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 27–28 jun 2021
    HTML PDF
  12. Uncertainty-based self-training for keyphrase extraction
    Zelalem Gero and Joyce C Ho
    In Proceedings of the 2021 IEEE EMBS International Conference on Biomedical & Health Informatics, 27–28 jun 2021
    HTML PDF
  13. SMAT: An attention-based deep learning solution to the automation of schema matching
    Jing Zhang, Bonggun Shin, Jinho Choi, and Joyce C Ho
    In Proceedings of the 25th European Conference on Advances in Databases and Information Systems, 27–28 jun 2021
    PDF Code
  14. GASP: Graph-based approximate sequential pattern mining for electronic health records
    Wenqin Dong, Eric W Lee, Vicki Stover Hertzberg, Roy L Simpson, and Joyce C Ho
    In Proceedings of the 25th European Conference on Advances in Databases and Information Systems, 27–28 jun 2021
    PDF Code
  15. CATAN: Chart-aware temporal attention network for adverse outcome prediction
    Zelalem Gero and Joyce C Ho
    In IEEE International Conference on Healthcare Informatics, 27–28 jun 2021
    PDF
  16. Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests
    Jasmine Nakayama, Joyce C Ho, Emily Cartwright, Roy L Simpson, and Vicki Stover Hertzberg
    Computers in Biology and Medicine, 27–28 jun 2021
    HTML PDF
  17. Word centrality constrained representation for keyphrase extraction
    Zelalem Gero and Joyce C Ho
    In BioNLP: Workshop on Biomedical Natural Language Processing, 27–28 jun 2021
    PDF Code
  18. You sound like someone who watches drama movies: Towards predicting movie preferences from conversational interactions
    Sergey Volokhin, Joyce C Ho, Oleg Rokhlenko, and Eugene Agichtein
    In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 27–28 jun 2021
    HTML PDF
  19. Profiles of intra-day glucose in Type 2 Diabetes and their association with complications: An analysis of continuous glucose monitoring data
    Jithin Sam Varghese, Joyce C Ho, Ranjit Mohan Anjana, Rajendra Pradeepa, Shivani A Patel, Saravanan Jebarani, Viswanathan Baskar, KM Venkat Narayan, and Viswanathan Mohan
    Diabetes Technology and Therapeutics, 27–28 jun 2021
    HTML
  20. CrowdTeacher: Robust Co-teaching with noisy answers & sample-specific perturbations for tabular data
    Mani Sotoodeh, Li Xiong, and Joyce C Ho
    In Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 27–28 jun 2021
    PDF Code
  21. Communication efficient federated generalized tensor factorization for collaborative health data analytics
    Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, and Joyce C Ho
    In Proceedings of The Web Conference, 27–28 jun 2021
    PDF Code
  22. Comparing the documented pressure injury in MIMIC-III: An “UpSet" visualization
    Wenhui Zhang, Mani Sotoodeh, Joyce C Ho, Roy L Simpson, and Vicki Stover Hertzberg
    27–28 jun 2021
    American Nursing Informatics Association Annual Conference
  23. Cross-modal memory fusion network for multimodal sequential learning with missing values
    Chen Lin, Joyce C Ho, and Eugene Agichtein
    In 43rd European Conference on Information Retrieval, 27–28 jun 2021
    PDF
  24. Communication efficient tensor factorization for decentralized healthcare networks
    Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, and Joyce C Ho
    In 2021 IEEE International Conference on Data Mining (ICDM), 27–28 jun 2021
    HTML PDF
  25. Diabetes and hypertension among South Asians in New York and Atlanta leveraging hospital electronic health records
    Jeannette M Beasley, Joyce C Ho, Sarah Conderino, Lorna E Thorpe, Megha Shah, Unjali P Gujral, Jennifer Zanowiak, and Nadia Islam
    Diabetology & metabolic syndrome, 27–28 jun 2021
    HTML PDF
  26. Examination of the accuracy of coding pressure injury amount, site, and stage in MIMIC-III
    Wenhui Zhang, Mani Sotoodeh, Joyce C Ho, Roy L Simpson, and Vicki Stover Hertzberg
    Applied Clinical Informatics, 27–28 jun 2021
    PDF
  27. Uncertainty-based self-training for keyphrase extraction
    Zelalem Gero and Joyce C Ho
    In Proceedings of the 2021 IEEE EMBS International Conference on Biomedical & Health Informatics, 27–28 jun 2021
    HTML PDF
  28. CATAN: Chart-aware temporal attention network for adverse outcome prediction
    Zelalem Gero and Joyce C Ho
    In IEEE International Conference on Healthcare Informatics, 27–28 jun 2021
    PDF
  29. Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests
    Jasmine Nakayama, Joyce C Ho, Emily Cartwright, Roy L Simpson, and Vicki Stover Hertzberg
    Computers in Biology and Medicine, 27–28 jun 2021
    HTML PDF
  30. You sound like someone who watches drama movies: Towards predicting movie preferences from conversational interactions
    Sergey Volokhin, Joyce C Ho, Oleg Rokhlenko, and Eugene Agichtein
    In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 27–28 jun 2021
    HTML PDF
  31. Profiles of intra-day glucose in Type 2 Diabetes and their association with complications: An analysis of continuous glucose monitoring data
    Jithin Sam Varghese, Joyce C Ho, Ranjit Mohan Anjana, Rajendra Pradeepa, Shivani A Patel, Saravanan Jebarani, Viswanathan Baskar, KM Venkat Narayan, and Viswanathan Mohan
    Diabetes Technology and Therapeutics, 27–28 jun 2021
    HTML
  32. Controlled molecule generator for optimizing multiple chemical properties
    Bonggun Shin, Sungsoo Park, JinYeong Bak, and Joyce C Ho
    In Proceedings of the Conference on Health, Inference, and Learning, 27–28 jun 2021
    PDF Code
  33. Privacy-preserving sequential pattern mining in distributed EHRs for predicting cardiovascular disease
    Eric W Lee, Li Xiong, Vicki Stover Hertzberg, Roy L Simpson, and Joyce C Ho
    In AMIA Informatics Summit, 27–28 jun 2021
    PDF
  34. SWIFT: Scalable Wasserstein factorization for sparse tensors
    Ardavan Afshar, Kejing Yin, Sherry Yan, Joyce C Ho, Haesun Park, and Jimeng Sun
    In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, Mar 2021
    PDF Code Slides

2020

  1. Fast and accurate tensor decomposition without a high performance computing machine
    Huan He, Yuanzhe Xi, and Joyce C Ho
    In Proceedings of the 2020 IEEE International Conference on Big Data, Mar 2020
    PDF Code
  2. Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples
    Robert Chen, Joyce C Ho, and Jin-Mann S Lin
    BMC Medical Research Methodology, Mar 2020
    HTML Code
  3. Pressure ulcer injury in unstructured clinical notes: Detection and interpretation
    Mani Sotoodeh, Zelalem H Gero, Wenhui Zhang, Roy L Simpson, Vicki Stover Hertzberg, and Joyce C Ho
    In AMIA Annual Symposium, Mar 2020
    PDF
  4. BUFFET: Robust irregular tensor factorization and completion for temporal health data analysis
    Yifei Ren, Jian Lou, Li Xiong, and Joyce C Ho
    In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, Mar 2020
    PDF Code
  5. LogPar: Logistic PARAFAC2 factorization for temporal binary data with missing values
    Kejing Yin, Ardavan Afshar, Joyce C Ho, William Cheung, Chao Zhang, and Jimeng Sun
    In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Mar 2020
    HTML PDF
  6. Accelerated SGD for tensor decomposition of sparse count data
    Huan He, Yuanzhe Xi, and Joyce C Ho
    In ICDM Workshop on High Dimensional Data Mining, Mar 2020
  7. CaliForest: Calibrated random forest for health data
    Yubin Park and Joyce C Ho
    In Proceedings of the ACM Conference on Health, Inference, and Learning, Mar 2020
    PDF Code
  8. MMiDaS-AE: Multi-modal missing data aware stacked autoencoder for biomedical abstract screening
    Eric W Lee, Byron C Wallace, Karla Galaviz, and Joyce C Ho
    In Proceedings of the ACM Conference on Health, Inference, and Learning, Mar 2020
    PDF
  9. Spatio-temporal tensor sketching via adaptive sampling
    Jing Ma, Qiuchen Zhang, Li Xiong, and Joyce C Ho
    In Machine Learning and Knowledge Discovery in Databases, Mar 2020
    PDF
  10. You sound like you watch action movies: Towards predicting movie preferences from conversational interactions
    Sergey Volokhin, Joyce C Ho, and Eugene Agichtein
    In WSDM Workshop on Conversational Systems for E-Commerce Recommendations and Search, Mar 2020
  11. Domain-guided task decomposition with self-training for detecting personal events in social media
    Payam Karisani, Joyce C Ho, and Eugene Agichtein
    In Proceedings of The Web Conference, Mar 2020
    PDF
  12. TASTE: Temporal and static tensor factorization for phenotyping electronic health records
    Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter Stewart, Joyce C Ho, and Jimeng Sun
    In Proceedings of the ACM Conference on Health, Inference, and Learning, Mar 2020
    PDF Code
  13. MMiDaS-AE: Multi-modal missing data aware stacked autoencoder for biomedical abstract screening
    Eric W Lee, Byron C Wallace, Karla Galaviz, and Joyce C Ho
    In Proceedings of the ACM Conference on Health, Inference, and Learning, Mar 2020
    PDF

2019

  1. Tackling overfitting in boosting for noisy healthcare data
    Yubin Park and Joyce C Ho
    IEEE Transactions on Knowledge and Data Engineering, Mar 2019
    PDF Code
  2. Privacy-preserving tensor factorization for collaborative health data analysis
    Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C Ho, Li Xiong, and Xiaoqian Jiang
    In Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Nov 2019
    PDF
  3. NamedKeys: Unsupervised keyphrase extraction for biomedical documents
    Zelalem Gero and Joyce C Ho
    In Proceedings of the 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, Sep 2019
    PDF Code
  4. PMCVec: Distributed phrase representation for biomedical text processing
    Zelalem Gero and Joyce C Ho
    Journal of Biomedical Informatics, Aug 2019
    PDF Code
  5. Distributed tensor decomposition for large scale health analytics
    Huan He, Jette Henderson, and Joyce C Ho
    In The World Wide Web Conference, May 2019
    PDF Code
  6. CP tensor decomposition with cannot-link intermode constraints
    Jette Henderson, Bradley A Malin, Joshua C Denny, Abel N Kho, Jimeng Sun, Joydeep Ghosh, and Joyce C Ho
    In SIAM International Conference on Data Mining, May 2019
    PDF
  7. Best Student Paper Nomination
    Improving length of stay prediction using a hidden Markov model
    Mani Sotoodeh and Joyce C Ho
    In AMIA Informatics Summit, Mar 2019
    PDF Code
  8. Self-attention based molecule representation for predicting drug-target interaction
    Bonggun Shin, Sungsoo Park, Keunsoo Kang, and Joyce C Ho
    In Machine Learning for Healthcare, Aug 2019
    PDF Code
  9. FuzzyGap: Sequential pattern mining for predicting chronic heart failure in clinical pathways
    Eric W Lee and Joyce C Ho
    In AMIA Informatics Summit, Mar 2019
    PDF
  10. Making sense of abbreviations in nursing notes: A case study on mortality prediction
    Jasmine Y Nakayama, Vicki Hertzberg, and Joyce C Ho
    In AMIA Informatics Summit, Mar 2019
    PDF Code

2018

  1. Phenotyping through semi-supervised tensor factorization (PSST)
    Jette Henderson, Huan He, Bradley A Malin, Joshua C Denny, Abel N Kho, Joydeep Ghosh, and Joyce C Ho
    In AMIA Annual Symposium, Mar 2018
    PDF
  2. COPA: Constrained PARAFAC2 for sparse & large datasets
    Ardavan Afshar, Ioakeim Perros, Evangelos E Papalexakis, Elizabeth Searles, Joyce C Ho, and Jimeng Sun
    In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, Mar 2018
    PDF Code Slides
  3. Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature
    Jette Henderson, Junyuan Ke, Joyce C. Ho, Joydeep Ghosh, and Byron C. Wallace
    Journal of Medical Internet Research, Mar 2018
    PDF
  4. Best Student Paper
    PIVETed-Granite: Computational phenotypes through constrained tensor factorization
    Jette Henderson, Bradley A Malin, Joyce C Ho, and Joydeep Ghosh
    In KDD Workshop on Machine Learning for Medicine and Healthcare, Mar 2018
    arXiv

2017

  1. Best Paper
    PheKnow-Cloud: A tool for evaluating high-throughput phenotype candidates using online medical literature
    Jette Henderson, Ryan Bridges, Joyce C Ho, Byron C Wallace, and Joydeep Ghosh
    In AMIA Joint Summits on Translational Science, Mar 2017
    PDF Slides
  2. gamAID: Greedy CP tensor decomposition for supervised EHR-based disease trajectory differentiation
    Jette Henderson, Joyce C Ho, and Joydeep Ghosh
    In Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Mar 2017
    PDF Slides
  3. Learning from different perspectives: Robust cardiac arrest prediction via temporal transfer learning
    Joyce C Ho and Yubin Park
    In Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Mar 2017
    PDF Slides
  4. Granite: Diversified, sparse tensor factorization for electronic health record-based phenotyping
    Jette Henderson, Joyce C Ho, Abel N Kho, Joshua C Denny, Bradley A Malin, Jimeng Sun, and Joydeep Ghosh
    In IEEE International Conference on Healthcare Informatics, Mar 2017
    PDF Slides
  5. CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data
    Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, and Vaidy Sunderam
    In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Mar 2017
    PDF Code

2016

  1. Automated verification of phenotypes using PubMed
    Ryan Bridges, Jette Henderson, Joyce C Ho, Byron C Wallace, and Joydeep Ghosh
    In Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, Mar 2016
    PDF
  2. ACDC: α-Carving Decision Chain for Risk Stratification
    Yubin Park, Joyce C Ho, and Joydeep Ghosh
    In ICML Workshop on Human Interpretability in Machine Learning, Mar 2016
    arXiv HTML
  3. Phenotyping using structured collective matrix factorization of multi–source EHR data
    Suriya Gunasekar, Joyce C Ho, Joydeep Ghosh, Stephanie Kreml, Abel N Kho, Joshua C Denny, Bradley A Malin, and Jimeng Sun
    arXiv:1609.04466 [stat.AP], Mar 2016
    arXiv

2015

  1. Uncovering medication usage patterns of patients with chronic fatigue syndrome via nonnegative tensor factorization
    Joyce C Ho, Jin-Mann S Lin, Brian M Gurbaxani, Jimeng Sun, and Joydeep Ghosh
    In AMIA Joint Summits on Translational Science, Mar 2015
    HTML

2014

  1. Septic shock prediction for patients with missing data
    Joyce C. Ho, Cheng H. Lee, and Joydeep Ghosh
    ACM Transactions on Management Information Systems, Mar 2014
    PDF
  2. Limestone: High-throughput candidate phenotype generation via tensor factorization
    Joyce C Ho, Joydeep Ghosh, Steve R Steinhubl, Walter F Stewart, Joshua C Denny, Bradley A Malin, and Jimeng Sun
    Journal of Biomedical Informatics, Mar 2014
    PDF
  3. Extracting phenotypes from patient claim records using nonnegative tensor factorization
    Joyce C. Ho, Joydeep Ghosh, and Jimeng Sun
    In Brain Informatics and Health, Mar 2014
    PDF Slides
  4. Marble: High-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization
    Joyce C. Ho, Joydeep Ghosh, and Jimeng Sun
    In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Mar 2014
    PDF Slides

2013

  1. DYNACARE: Dynamic cardiac arrest risk estimation
    Joyce C. Ho, Yubin Park, Carlos M. Carvalho, and Joydeep Ghosh
    In International Conference on Artificial Intelligence and Statistics, Mar 2013
    PDF
  2. DYNACARE-OP: Dynamic cardiac arrest risk estimation incorporating ordinal features
    Joyce C Ho, Yubin Park, Carlos M Carvalho, and Joydeep Ghosh
    In ICML Workshop: Role of Machine Learning in Transforming Healthcare, Mar 2013
    PDF Slides
  3. Multivariate temporal symptomatic characterization of cardiac arrest
    Yubin Park, J.C. Ho, and J. Ghosh
    In 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Mar 2013
    PDF
  4. Risk Prediction of a Multiple Sclerosis Diagnosis
    J.C. Ho, J. Ghosh, and K.P. Unnikrishnan
    In IEEE International Conference on Healthcare Informatics, Mar 2013
    PDF Slides

2012

  1. Imputation-enhanced prediction of septic shock in ICU patients
    Joyce C Ho, Cheng H Lee, and Joydeep Ghosh
    In ACM SIGKDD Workshop on Health Informatics, Mar 2012
    PDF Slides
  2. An imputation-enhanced algorithm for ICU mortality prediction
    C.H. Lee, N.M. Arzeno, J.C. Ho, H. Vikalo, and J. Ghosh
    In Computing in Cardiology, Mar 2012
    PDF

2005

  1. Using context-aware computing to reduce the perceived burden of interruptions from mobile devices
    Joyce Ho and Stephen S. Intille
    In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Mar 2005
    PDF