Hong Yu

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 105

Top Venues

CoRR

AMIA

EMNLP

Louhi@EMNLP

Publications

Prakamya Mishra, Zonghai Yao, Shuwei Chen, Beining Wang, Rohan Mittal, Hong Yu
Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization. CoRR (2023)
Zonghai Yao, Jack Tsai, Weisong Liu, David A. Levy, Emily Druhl, Joel I. Reisman, Hong Yu
Automated identification of eviction status from electronic health record notes. J. Am. Medical Informatics Assoc. 30 (8) (2023)
John P. Lalor, Hao Wu, Kathleen M. Mazor, Hong Yu
Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical Turk. Int. J. Medical Informatics 172 (2023)
Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP. CoRR (2023)
Zihao Zhang, Zonghai Yao, Huixue Zhou, Feiyun ouyang, Hong Yu
EHRTutor: Enhancing Patient Understanding of Discharge Instructions. CoRR (2023)
Sunjae Kwon, Xun Wang, Weisong Liu, Emily Druhl, Minhee L. Sung, Joel I. Reisman, Wenjun Li, Robert D. Kerns, William Becker, Hong Yu
ODD: A Benchmark Dataset for the NLP-based Opioid Related Aberrant Behavior Detection. CoRR (2023)
Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yi Cao, Alok Kapoor, Adarsha Bajracharya, Dan Berlowitz, Hong Yu
PaniniQA: Enhancing Patient Education Through Interactive Question Answering. CoRR (2023)
Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu
Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt. AAAI (2023)
Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. ACL (Findings) (2023)
Sunjae Kwon, Rishabh Garodia, Minhwa Lee, Zhichao Yang, Hong Yu
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information. ACL (1) (2023)
Junda Wang, Zonghai Yao, Zhichao Yang, Huixue Zhou, Rumeng Li, Xun Wang, Yucheng Xu, Hong Yu
NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes. CoRR (2023)
Hieu Tran, Zhichao Yang, Zonghai Yao, Hong Yu
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing. CoRR (2023)
Jiachen Zhao, Zonghai Yao, Zhichao Yang, Hong Yu
SELF-EXPLAIN: Teaching Large Language Models to Reason Complex Questions by Themselves. CoRR (2023)
Junda Wang, Zonghai Yao, Avijit Mitra, Samuel Osebe, Zhichao Yang, Hong Yu
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations? CoRR (2023)
Rumeng Li, Xun Wang, Dan Berlowitz, Brian Silver, Wen Hu, Heather Keating, Raelene Goodwin, Weisong Liu, Honghuang Lin, Hong Yu
Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans. CoRR (2023)
Zonghai Yao, Ahmed Jaafar, Beining Wang, Yue Zhu, Zhichao Yang, Hong Yu
Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation. CoRR (2023)
Xiaocheng Zhang, Zonghai Yao, Hong Yu
EHR Interaction Between Patients and AI: NoteAid EHR Interaction. CoRR (2023)
Junda Wang, Zonghai Yao, Avijit Mitra, Samuel Osebe, Zhichao Yang, Hong Yu
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations? ClinicalNLP@ACL (2023)
Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. CoRR (2023)
Zhichao Yang, Shufan Wang, Bhanu Pratap Singh Rawat, Avijit Mitra, Hong Yu
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding. EMNLP (Findings) (2022)
Avijit Mitra, Richeek Pradhan, Rachel D. Melamed, Kun Chen, David C. Hoaglin, Katherine L. Tucker, Joel I Reisman, Zhichao Yang, Weisong Liu, Jack Tsai, Hong Yu
Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans. CoRR (2022)
Zonghai Yao, Yi Cao, Zhichao Yang, Vijeta Deshpande, Hong Yu
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context. CoRR (2022)
Sunjae Kwon, Zhichao Yang, Hong Yu
An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning. CoRR (2022)
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. NAACL-HLT (2022)
Sunjae Kwon, Zonghai Yao, Harmon S. Jordan, David A. Levy, Brian Corner, Hong Yu
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score. CoRR (2022)
Zhichao Yang, Weisong Liu, Dan Berlowitz, Hong Yu
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models. CoRR (2022)
Zhichao Yang, Shufan Wang, Bhanu Pratap Singh Rawat, Avijit Mitra, Hong Yu
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding. CoRR (2022)
Sunjae Kwon, Zonghai Yao, Harmon S. Jordan, David A. Levy, Brian Corner, Hong Yu
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score. EMNLP (2022)
Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt. CoRR (2022)
Zonghai Yao, Yi Cao, Zhichao Yang, Vijeta Deshpande, Hong Yu
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context. AMIA (2022)
Bhanu Pratap Singh Rawat, Samuel Kovaly, Hong Yu, Wilfred R. Pigeon
ScAN: Suicide Attempt and Ideation Events Dataset. NAACL-HLT (2022)
Bhanu Pratap Singh Rawat, Hong Yu, Heather Keating, Raelene Goodwin, Emily Druhl
An Investigation of the Representation of Social Determinants of Health in the UMLS. AMIA (2022)
Bhanu Pratap Singh Rawat, Hong Yu
Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection. LOUHI@EMNLP (2022)
Zonghai Yao, Yi Cao, Zhichao Yang, Hong Yu
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing. CoRR (2022)
Zonghai Yao, Jack Tsai, Weisong Liu, David A. Levy, Emily Druhl, Joel I Reisman, Hong Yu
Automated Identification of Eviction Status from Electronic Health Record Notes. CoRR (2022)
Pengshan Cai, Fei Liu, Adarsha Bajracharya, Joe Sills, Alok Kapoor, Weisong Liu, Dan Berlowitz, David Levy, Richeek Pradhan, Hong Yu
Generation of Patient After-Visit Summaries to Support Physicians. COLING (2022)
Bhanu Pratap Singh Rawat, Samuel Kovaly, Wilfred R. Pigeon, Hong Yu
ScAN: Suicide Attempt and Ideation Events Dataset. CoRR (2022)
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. CoRR (2022)
Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu
Membership Inference Attack Susceptibility of Clinical Language Models. CoRR (2021)
Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu, Yang Xiang
Neural data-to-text generation with dynamic content planning. Knowl. Based Syst. 215 (2021)
Weisong Liu, Fei Li, Yonghao Jin, Edgard Granillo, Jorge Yarzebski, Wenjun Li, Hong Yu
Epinoter: A Natural Language Processing Tool for Epidemiological Studies. HEALTHINF (2021)
Zhichao Yang, Hong Yu
Generating Accurate EHR Assessment from Medical Graph. EMNLP (Findings) (2020)
Fei Li, Hong Yu
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network. AAAI (2020)
John P. Lalor, Hong Yu
Dynamic Data Selection for Curriculum Learning via Ability Estimation. EMNLP (Findings) (2020)
Feifan Liu, Xiaoyu Zheng, Hong Yu, Jennifer Tjia
Neural Multi-Task Learning for Adverse Drug Reaction Extraction. AMIA (2020)
Abhyuday Jagannatha, Hong Yu
Calibrating Structured Output Predictors for Natural Language Processing. ACL (2020)
Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu
Neural Data-to-Text Generation with Dynamic Content Planning. CoRR (2020)
Somil Gupta, Bhanu Pratap Singh Rawat, Hong Yu
Conversational Machine Comprehension: a Literature Review. COLING (2020)
John P. Lalor, Hong Yu
Dynamic Data Selection for Curriculum Learning via Ability Estimation. CoRR (2020)
Bhanu Pratap Singh Rawat, Abhyuday Jagannatha, Feifan Liu, Hong Yu
Inferring ADR causality by predicting the Naranjo Score from Clinical Notes. AMIA (2020)
Subendhu Rongali, Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu
Improved Pretraining for Domain-specific Contextual Embedding Models. CoRR (2020)
Abhyuday Jagannatha, Hong Yu
Calibrating Structured Output Predictors for Natural Language Processing. CoRR (2020)
Avijit Mitra, Bhanu Pratap Singh Rawat, David McManus, Alok Kapoor, Hong Yu
Bleeding Entity Recognition in Electronic Health Records: A Comprehensive Analysis of End-to-End Systems. AMIA (2020)
Yonghao Jin, Fei Li, Hong Yu
BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab. ACL (demo) (2020)
John P. Lalor, Hao Wu, Hong Yu
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds. EMNLP/IJCNLP (1) (2019)
Fei Li, Hong Yu
An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models. J. Am. Medical Informatics Assoc. 26 (7) (2019)
Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Yu
Generating Classical Chinese Poems from Vernacular Chinese. EMNLP/IJCNLP (1) (2019)
Wuti Xiong, Fei Li, Hong Yu, Donghong Ji
Extracting Drug-drug Interactions with a Dependency-based Graph Convolution Neural Network. BIBM (2019)
John P. Lalor, Hao Wu, Hong Yu
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds. CoRR (2019)
Wuti Xiong, Fei Li, Ming Cheng, Hong Yu, Donghong Ji
Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs. BioNLP-OST@EMNLP-IJNCLP (2019)
Bhanu Pratap Singh Rawat, Fei Li, Hong Yu
Naranjo Question Answering using End-to-End Multi-task Learning Model. KDD (2019)
Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Yu
Generating Classical Chinese Poems from Vernacular Chinese. CoRR (2019)
Bhanu Pratap Singh Rawat, Fe Li, Hong Yu
Clinical Judgement Study using Question Answering from Electronic Health Records. MLHC (2019)
Fei Li, Hong Yu
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network. CoRR (2019)
Feifan Liu, Richeek Pradhan, Emily Druhl, Elaine T. Freund, Weisong Liu, Brian C. Sauer, Fran Cunningham, Adam J. Gordon, Celena B. Peters, Hong Yu
Learning to detect and understand drug discontinuation events from clinical narratives. J. Am. Medical Informatics Assoc. 26 (10) (2019)
Kai Chen, Baotian Hu, Qingcai Chen, Hong Yu
A Neural Abstractive Summarization Model Guided with Topic Sentences. Aust. J. Intell. Inf. Process. Syst. 17 (1) (2019)
Yonghao Jin, Fei Li, Hong Yu
HYPE: A High Performing NLP System for Automatically Detecting Hypoglycemia Events from Electronic Health Record Notes. CoRR (2018)
Jinying Chen, John P. Lalor, Hong Yu
Detecting Hypoglycemia Incidents from Patients' Secure Messages. AMIA (2018)
Celena B. Peters, Fran Cunningham, Hong Yu, Adam J. Gordon, Cedric L. Salone, Jessica Zacher, Ronald Carico, Jianwei Leng, Nikolh Smith-Nemard, Weisong Liu, Sophia Lu, Emily Druhl, Tina Huynh, Zachary Burningham, Feifan Liu, Brian C. Sauer
Reference Standard Development to Train Natural Language Processing Algorithms to Detect Problematic Buprenorphine-Naloxone Therapy. AMIA (2018)
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu
Sentence Simplification with Memory-Augmented Neural Networks. CoRR (2018)
Victoria J. Wang, Richeek Pradhan, Harmon S. Jordan, Arlene S. Ash, David McManus, Hong Yu
Accuracy of International Classification of Disease Clinical Modification Codes for Detecting Bleeding Events in Electronic Health Records and When to Use Them. AMIA (2018)
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu
Sentence Simplification with Memory-Augmented Neural Networks. NAACL-HLT (2) (2018)
John Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study. EMNLP (2018)
John P. Lalor, Hao Wu, Hong Yu
Improving Machine Learning Ability with Fine-Tuning. CoRR (2017)
John P. Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu
An Analysis of Machine Learning Intelligence. CoRR (2017)
Jinying Chen, Hong Yu
Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients. J. Biomed. Informatics 68 (2017)
Jiaping Zheng, Hong Yu
Assessing Electronic Health Record Readability. AMIA (2017)
Rumeng Li, Abhyuday Jagannatha, Hong Yu
A hybrid Neural Network Model for Joint Prediction of Medical Presence and Period Assertions in Clinical Notes. AMIA (2017)
Jesse M. Lingeman, Priscilla Wang, William Becker, Hong Yu
Detecting Opioid-Related Aberrant Behavior using Natural Language Processing. AMIA (2017)
Tsendsuren Munkhdalai, Hong Yu
Meta Networks. ICML (2017)
Tsendsuren Munkhdalai, Hong Yu
Meta Networks. CoRR (2017)
Tsendsuren Munkhdalai, Hong Yu
Neural Semantic Encoders. EACL (1) (2017)
Tsendsuren Munkhdalai, Hong Yu
Neural Tree Indexers for Text Understanding. EACL (1) (2017)
Samah J. Fodeh, Aditya Tiwari, Hong Yu
Exploiting PubMed for Protein Molecular Function Prediction via NMF Based Multi-label Classification. ICDM Workshops (2017)
Tsendsuren Munkhdalai, Hong Yu
Reasoning with Memory Augmented Neural Networks for Language Comprehension. ICLR (Poster) (2017)
Jinying Chen, Hong Yu
Unsupervised Ensemble Ranking of Terms in Electronic Health Record Notes Based on Their Importance to Patients. CoRR (2017)
John P. Lalor, Hao Wu, Li Chen, Kathleen Mazor, Hong Yu
Generating a Test of Electronic Health Record Narrative Comprehension with Item Response Theory. AMIA (2017)
Jesse M. Lingeman, Hong Yu
Learning to Rank Scientific Documents from the Crowd. CoRR (2016)
John P. Lalor, Hao Wu, Hong Yu
Beyond Majority Voting: Generating Evaluation Scales using Item Response Theory. CoRR (2016)
Tsendsuren Munkhdalai, John Lalor, Hong Yu
Citation Analysis with Neural Attention Models. Louhi@EMNLP (2016)
Tsendsuren Munkhdalai, Hong Yu
Neural Tree Indexers for Text Understanding. CoRR (2016)
Abhyuday Jagannatha, Hong Yu
Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records. CoRR (2016)
Abhyuday Jagannatha, Hong Yu
Structured prediction models for RNN based sequence labeling in clinical text. EMNLP (2016)
Tsendsuren Munkhdalai, Hong Yu
Neural Semantic Encoders. CoRR (2016)
Jinying Chen, Abhyuday N. Jagannatha, Samah J. Jarad, Hong Yu
Ranking medical jargon in electronic health record notes by adapted distant supervision. CoRR (2016)
Jiaping Zheng, Hong Yu
Methods for linking EHR notes to education materials. Inf. Retr. J. 19 (1-2) (2016)
Abhyuday N. Jagannatha, Hong Yu
Bidirectional RNN for Medical Event Detection in Electronic Health Records. HLT-NAACL (2016)
Tsendsuren Munkhdalai, Hong Yu
Reasoning with Memory Augmented Neural Networks for Language Comprehension. CoRR (2016)
Feifan Liu, Jinying Chen, Abhyuday Jagannatha, Hong Yu
Learning for Biomedical Information Extraction: Methodological Review of Recent Advances. CoRR (2016)
John P. Lalor, Hao Wu, Hong Yu
Building an Evaluation Scale using Item Response Theory. EMNLP (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hong Yu