Jie Yang

According to our database, Jie Yang authored at least 47 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Scalable Medication Extraction and Discontinuation Identification from Electronic Health Records Using Large Language Models.

Chong Shao, Douglas Snyder, Chiran Li, Bowen Gu, Kerry Ngan, Chun-Ting Yang, Jiageng Wu, Richard Wyss, Kueiyu Joshua Lin, Jie Yang

CoRR, June, 2025

BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text.

Jiageng Wu, Bowen Gu, Ren Zhou, Kevin Xie, Douglas Snyder, Yixing Jiang, Valentina Carducci, Richard Wyss, Rishi J. Desai, Emily Alsentzer, Leo Anthony Celi, Adam Rodman, Sebastian Schneeweiss, Jonathan H. Chen, Santiago Romero-Brufau, Kueiyu Joshua Lin, Jie Yang

CoRR, April, 2025

Natural language processing for scalable feature engineering and ultra-high-dimensional confounding adjustment in healthcare database studies.

Richard Wyss, Jie Yang, Sebastian Schneeweiss, Joseph M. Plasek, Li Zhou, Thomas DeRamus, Janick Weberpals, Kerry Ngan, Theodore N. Tsacogianis, Kueiyu Joshua Lin

J. Biomed. Informatics, 2025

Analysis of longitudinal social media for monitoring symptoms during a pandemic.

Shixu Lin, Lucas Garay, Yining Hua, Zhijiang Guo, Wanxin Li, Minghui Li, Yu-Jie Zhang, Xiaolin Xu, Jie Yang

J. Biomed. Informatics, 2025

Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records.

Liqin Wang, John Laurentiev, Claire Cook, Shruthi Srivatsan, Yining Hua, Jie Yang, Eli Miloslavsky, Hyon K. Choi, Li Zhou, Zachary S. Wallace

Int. J. Medical Informatics, 2025

Comparative ranking of marginal confounding impact of natural language processing-derived versus structured features in pharmacoepidemiology.

Joseph M. Plasek, Richard Wyss, Janick Weberpals, Jie Yang, Thomas DeRamus, Theodore N. Tsacogianis, Kerry Ngan, Lily G. Bessette, Kueiyu Joshua Lin, Li Zhou

Comput. Biol. Medicine, 2025

Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection.

Jie Yang, Rui Zhang, Ziyang Cheng, Dawei Cheng, Guang Yang, Bo Wang

Proceedings of the ACM on Web Conference 2025, 2025

2024

Better Pay Attention Whilst Fuzzing.

Shunkai Zhu, Jingyi Wang, Jun Sun, Jie Yang, Xingwei Lin, Tian Wang, Liyi Zhang, Peng Cheng

IEEE Trans. Software Eng., February, 2024

Large language models leverage external knowledge to extend clinical insight beyond language boundaries.

Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Shixu Lin, Yingying Zhang, Yefeng Zheng, Changzheng Yuan, Jie Yang

J. Am. Medical Informatics Assoc., 2024

Streamlining social media information retrieval for public health research with deep learning.

Yining Hua, Jiageng Wu, Shixu Lin, Minghui Li, Yujie Zhang, Dinah Foer, Siwen Wang, Peilin Zhou, Jie Yang, Li Zhou

J. Am. Medical Informatics Assoc., 2024

Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter.

Zeqiang Wang, Jiageng Wu, Yuqi Wang, Wei Wang, Jie Yang, Jon Johnson, Nishanth Sastry, Suparna De

CoRR, 2024

FinTruthQA: A Benchmark Dataset for Evaluating the Quality of Financial Information Disclosure.

Ziyue Xu, Peilin Zhou, Xinyu Shi, Jiageng Wu, Yikang Jiang, Bin Ke, Jie Yang

CoRR, 2024

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection.

Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng

CoRR, 2024

MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding.

Jiageng Wu, Xian Wu, Yefeng Zheng, Jie Yang

CoRR, 2024

MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey.

Xian Wu, Yutian Zhao, Yunyan Zhang, Jiageng Wu, Zhihong Zhu, Yingying Zhang, Yi Ouyang, Ziheng Zhang, Huimin Wang, Zhenxi Lin, Jie Yang, Shuang Zhao, Yefeng Zheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds.

Jiageng Wu, Xian Wu, Jie Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter.

Zeqiang Wang, Jiageng Wu, Yuqi Wang, Wei Xjtlu, Jie Yang, Nishanth Sastry, Jon Johnson, Suparna De

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Pre-trained Online Contrastive Learning for Insurance Fraud Detection.

Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Streamlining Social Media Information Retrieval for Public Health Research with Deep Learning.

Yining Hua, Shixu Lin, Minghui Li, Yujie Zhang, Peilin Zhou, Ying-Chih Lo, Li Zhou, Jie Yang

CoRR, 2023

Qualifying Chinese Medical Licensing Examination with Knowledge Enhanced Generative Pre-training Model.

Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Yefeng Zheng, Jie Yang

CoRR, 2023

Exploring Social Media for Early Detection of Depression in COVID-19 Patients.

Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang

Proceedings of the ACM Web Conference 2023, 2023

GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost.

Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

YATO: Yet Another deep learning based Text analysis Open toolkit.

Zeqiang Wang, Yile Wang, Jiageng Wu, Zhiyang Teng, Jie Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications.

Yining Hua, Hang Jiang, Shixu Lin, Jie Yang, Joseph M. Plasek, David W. Bates, Li Zhou

J. Am. Medical Informatics Assoc., 2022

GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost.

Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Jie Yang

CoRR, 2022

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.

Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective.

Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Better Pay Attention Whilst Fuzzing.

Shunkai Zhu, Jingyi Wang, Jun Sun, Jie Yang, Xingwei Lin, Liyi Zhang, Peng Cheng

CoRR, 2021

Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.

Courtney J. Diamond, John Laurentiev, Jie Yang, Amy Wint, Kimberly A. Harris, Tin H. Dang, Amrita Mecker, Emily B. Carpenter, Anna N. A. Tosteson, Adam Wright, Jennifer S. Haas, Steven J. Atlas, Li Zhou

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Comparison of Machine Learning Algorithms for Earlier Detection of Cognitive Decline from Clinical Notes in the Electronic Health Records.

Liqin Wang, John Laurentiev, Jie Yang, Ying-Chih Lo, Rebecca E. Amariglio, Gad A. Marshall, Li Zhou

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Lattice LSTM for Chinese Sentence Representation.

Yue Zhang, Yile Wang, Jie Yang

IEEE ACM Trans. Audio Speech Lang. Process., 2020

From Genesis to Creole Language: Transfer Learning for Singlish Universal Dependencies Parsing and POS Tagging.

Hongmin Wang, Jie Yang, Yue Zhang

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration.

Zfania Tom Korach, Jie Yang, Sarah Collins Rossetti, Kenrick D. Cato, Min-Jeoung Kang, Christopher Knaplund, Kumiko O. Schnock, Jose P. Garcia, Haomiao Jia, Jessica M. Schwartz, Li Zhou

Int. J. Medical Informatics, 2020

Deep Learning to Detect Allergy Events from Hospital Safety Reports.

Jie Yang, Liqin Wang, Neelam A. Phadke, Paige G. Wickner, Christian M. Mancini, Kimberly G. Blumenthal, Li Zhou

Proceedings of the AMIA 2020, 2020

Implementing an IT-Based Intervention to Improve Follow-up Rates of Abnormal Cancer Screening Results: the mFOCUS Trial.

Courtney J. Diamond, Steven J. Atlas, Tin H. Dang, Jie Yang, Li Zhou, Sanja Percac-Lima, Amy J. Wint, Kimberly A. Harris, E. John Orav, Erica S. Breslau, Shoshana Hort, Anna Tosteson, Jennifer S. Haas, Adam Wright

Proceedings of the AMIA 2020, 2020

2019

Subword Encoding in Lattice LSTM for Chinese Word Segmentation.

Jie Yang, Yue Zhang, Shuailong Liang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Design Challenges and Misconceptions in Neural Sequence Labeling.

Jie Yang, Shuailong Liang, Yue Zhang

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Chinese NER Using Lattice LSTM.

Yue Zhang, Jie Yang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

YEDDA: A Lightweight Collaborative Text Span Annotation Tool.

Jie Yang, Yue Zhang, Linwei Li, Xingxuan Li

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

NCRF++: An Open-source Neural Sequence Labeling Toolkit.

Jie Yang, Yue Zhang

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

2017

YEDDA: A Lightweight Collaborative Text Span Annotation Tool.

Jie Yang, Yue Zhang

CoRR, 2017

Neural Reranking for Named Entity Recognition.

Jie Yang, Yue Zhang, Fei Dong

Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring.

Fei Dong, Yue Zhang, Jie Yang

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Neural Word Segmentation with Rich Pretraining.

Jie Yang, Yue Zhang, Fei Dong

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Universal Dependencies Parsing for Colloquial Singaporean English.

Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang, Hai Leong Chieu

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

LibN3L: A Lightweight Package for Neural NLP.

Meishan Zhang, Jie Yang, Zhiyang Teng, Yue Zhang

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Combining Discrete and Neural Features for Sequence Labeling.

Jie Yang, Zhiyang Teng, Meishan Zhang, Yue Zhang

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016