Jie Yang

Orcid: 0000-0001-5696-363X

Affiliations:
  • Harvard University, Harvard Medical School, USA
  • Singapore University of Technology and Design, Singapore (former)


According to our database1, Jie Yang authored at least 29 papers between 2016 and 2024.

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Timeline

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Bibliography

2024
Better Pay Attention Whilst Fuzzing.
IEEE Trans. Software Eng., February, 2024

Large language models leverage external knowledge to extend clinical insight beyond language boundaries.
J. Am. Medical Informatics Assoc., 2024

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection.
CoRR, 2024

MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding.
CoRR, 2024

Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Pre-trained Online Contrastive Learning for Insurance Fraud Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Qualifying Chinese Medical Licensing Examination with Knowledge Enhanced Generative Pre-training Model.
CoRR, 2023

Exploring Social Media for Early Detection of Depression in COVID-19 Patients.
Proceedings of the ACM Web Conference 2023, 2023

YATO: Yet Another deep learning based Text analysis Open toolkit.
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.
J. Am. Medical Informatics Assoc., 2022

Towards Fine-grained Causal Reasoning and QA.
CoRR, 2022

2021
Better Pay Attention Whilst Fuzzing.
CoRR, 2021

Comparison of Machine Learning Algorithms for Earlier Detection of Cognitive Decline from Clinical Notes in the Electronic Health Records.
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.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

From Genesis to Creole Language: Transfer Learning for Singlish Universal Dependencies Parsing and POS Tagging.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration.
Int. J. Medical Informatics, 2020

Deep Learning to Detect Allergy Events from Hospital Safety Reports.
Proceedings of the AMIA 2020, 2020

2019
Subword Encoding in Lattice LSTM for Chinese Word Segmentation.
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.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Chinese NER Using Lattice LSTM.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

YEDDA: A Lightweight Collaborative Text Span Annotation Tool.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

NCRF++: An Open-source Neural Sequence Labeling Toolkit.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

2017
YEDDA: A Lightweight Collaborative Text Span Annotation Tool.
CoRR, 2017

Neural Reranking for Named Entity Recognition.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Neural Word Segmentation with Rich Pretraining.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Universal Dependencies Parsing for Colloquial Singaporean English.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
LibN3L: A Lightweight Package for Neural NLP.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Combining Discrete and Neural Features for Sequence Labeling.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016


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