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ORCIDSheng Yu 0002
Person information
- unicode name: 俞声
- affiliation: Tsinghua University, Center for Statistical Science / Department of Industrial Engineering, Beijing, China
- affiliation (2013 - 2015): Harvard Medical School, Boston, MA, USA
- affiliation (2012 - 2015): Brigham and Women's Hospital, Boston, MA, USA
- affiliation (PhD 2012): George Washington University, DC, USA
Other persons with the same name
- Sheng Yu — disambiguation page
- Sheng Yu 0001 — University of Western Ontario, London, ON, Canada (and 1 more)
- Sheng Yu 0003 — Zhongnan University of Economics and Law, School of Business Administration, Wuhan, China (and 1 more)
- Sheng Yu 0004 — Oklahoma State University, Department of Computer Science, Stillwater, OK USA
- Sheng Yu 0005 — Dublin Institute of Technology, School of Electrical Engineering Systems, Ireland
- Sheng Yu 0006 — University of Chinese Academy of Sciences, Research Center of Ubiquitous Sensor Networks, Beijing, China
- Sheng Yu 0007
![[0000-0001-8302-462X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8302-462X")
— Shaoguan University, School of Information Science and Engineering / Provincial Demonstration Software Institute, China (and 1 more) - Sheng Yu 0008 — University of Oxford, Department of Oncology, UK
Other persons with a similar name
- Yu-Sheng Chen
- Yu-Sheng Huang
- Yu-Sheng Lin
- Yu-Sheng Lu
- Sheng-Yu Peng
- Yu Sheng
- Yu-Bo Sheng
- Yu-Sheng Su
- Sheng Yue
- Shengyu Zhang (aka: Sheng-Yu Zhang) — disambiguation page
- show all similar names
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2020 – today
- 2024
[j21]Hongyi Yuan, Sheng Yu:
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification. Artif. Intell. Medicine 148: 102748 (2024)- [j20]Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu:
CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs. J. Am. Medical Informatics Assoc. 31(9): 1912-1920 (2024) - [j19]Hongyi Yuan, Songchi Zhou, Sheng Yu:
EHRDiff : Exploring Realistic EHR Synthesis with Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024) - [i20]Huaiyuan Ying, Sheng Yu:
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction. CoRR abs/2402.11177 (2024) - 2023
- [j18]Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Survey of Approaches and Challenges. ACM Comput. Surv. 55(2): 35:1-35:36 (2023) - [j17]Zhengyun Zhao, Yichen Tian, Zheng Yuan, Peng Zhao, Feng Xia, Sheng Yu:
A machine learning method for improving liver cancer staging. J. Biomed. Informatics 137: 104266 (2023) - [j16]Yucong Lin, Keming Lu, Sheng Yu, Tianxi Cai, Marinka Zitnik:
Multimodal learning on graphs for disease relation extraction. J. Biomed. Informatics 143: 104415 (2023) - [j15]Keming Lu, Yuanren Tong, Si Yu, Yucong Lin, Yingyun Yang, Hui Xu, Yue Li, Sheng Yu:
Building a trustworthy AI differential diagnosis application for Crohn's disease and intestinal tuberculosis. BMC Medical Informatics Decis. Mak. 23(1): 160 (2023) - [i19]Hongyi Yuan, Songchi Zhou, Sheng Yu:
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models. CoRR abs/2303.05656 (2023) - [i18]Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu:
CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs. CoRR abs/2312.08036 (2023) - [i17]Songchi Zhou, Sheng Yu:
High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models. CoRR abs/2312.08274 (2023) - 2022
- [j14]Zheng Yuan, Zhengyun Zhao, Haixia Sun, Jiao Li, Fei Wang, Sheng Yu:
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization. J. Biomed. Informatics 126: 103983 (2022) - [c11]Shengxuan Luo, Sheng Yu:
An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection. ACL (Findings) 2022: 2330-2339 - [c10]Sihang Zeng, Zheng Yuan, Sheng Yu:
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations. BioNLP@ACL 2022: 91-96 - [c9]Hongyi Yuan, Zheng Yuan, Ruyi Gan, Jiaxing Zhang, Yutao Xie, Sheng Yu:
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model. BioNLP@ACL 2022: 97-109 - [c8]Huaiyuan Ying, Shengxuan Luo, Tiantian Dang, Sheng Yu:
Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity Recognition. NAACL-HLT (Findings) 2022: 2656-2666 - [c7]Hongyi Yuan, Zheng Yuan, Sheng Yu:
Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning. NAACL-HLT 2022: 4038-4048 - [i16]Zhengyun Zhao, Qiao Jin, Sheng Yu:
PMC-Patients: A Large-scale Dataset of Patient Notes and Relations Extracted from Case Reports in PubMed Central. CoRR abs/2202.13876 (2022) - [i15]Shengxuan Luo, Sheng Yu:
An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection. CoRR abs/2203.05147 (2022) - [i14]Shengxuan Luo, Pengyu Cheng, Sheng Yu:
Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases. CoRR abs/2203.05744 (2022) - [i13]Yucong Lin, Keming Lu, Sheng Yu, Tianxi Cai, Marinka Zitnik:
Multimodal Learning on Graphs for Disease Relation Extraction. CoRR abs/2203.08893 (2022) - [i12]Sheng Yu, Zheng Yuan, Jun Xia, Shengxuan Luo, Huaiyuan Ying, Sihang Zeng, Jingyi Ren, Hongyi Yuan, Zhengyun Zhao, Yucong Lin, Keming Lu, Jing Wang, Yutao Xie, Heung-Yeung Shum:
BIOS: An Algorithmically Generated Biomedical Knowledge Graph. CoRR abs/2203.09975 (2022) - [i11]Sihang Zeng, Zheng Yuan, Sheng Yu:
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations. CoRR abs/2204.00391 (2022) - [i10]Hongyi Yuan, Zheng Yuan, Ruyi Gan, Jiaxing Zhang, Yutao Xie, Sheng Yu:
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model. CoRR abs/2204.03905 (2022) - [i9]Hongyi Yuan, Zheng Yuan, Sheng Yu:
Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning. CoRR abs/2204.05164 (2022) - 2021
- [j13]Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang:
A Method for Generating Synthetic Electronic Medical Record Text. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 173-182 (2021) - [i8]Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Comprehensive Review. CoRR abs/2102.05281 (2021) - [i7]Shengxuan Luo, Huaiyuan Ying, Sheng Yu:
Sentence Alignment with Parallel Documents Helps Biomedical Machine Translation. CoRR abs/2104.08588 (2021) - [i6]Hongyi Yuan, Sheng Yu:
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification. CoRR abs/2112.00733 (2021) - 2020
- [j12]Aaron Sonabend W., Winston Cai, Yuri Ahuja, Ashwin N. Ananthakrishnan, Zongqi Xia, Sheng Yu, Chuan Hong:
Automated ICD coding via unsupervised knowledge integration (UNITE). Int. J. Medical Informatics 139: 104135 (2020) - [j11]Lishan Yu, Sheng Yu:
Developing an automated mechanism to identify medical articles from wikipedia for knowledge extraction. Int. J. Medical Informatics 141: 104234 (2020) - [j10]Yucong Lin, Yang Li, Keming Lu, Cheng Ma, Peng Zhao, Daiqi Gao, Zihao Fan, Zijie Cheng, Zheyu Wang, Sheng Yu:
Long-distance disorder-disorder relation extraction with bootstrapped noisy data. J. Biomed. Informatics 109: 103529 (2020) - [j9]Zheng Yuan, Yuanhao Liu, Qiuyang Yin, Boyao Li, Xiaobin Feng, Guoming Zhang, Sheng Yu:
Unsupervised multi-granular Chinese word segmentation and term discovery via graph partition. J. Biomed. Informatics 110: 103542 (2020) - [j8]Yuanren Tong, Keming Lu, Yingyun Yang, Ji Li, Yucong Lin, Dong Wu, Aiming Yang, Yue Li, Sheng Yu, Jiaming Qian:
Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches. BMC Medical Informatics Decis. Mak. 20(1): 248 (2020) - [i5]Yucong Lin, Keming Lu, Yulin Chen, Chuan Hong, Sheng Yu:
High-throughput relation extraction algorithm development associating knowledge articles and electronic health records. CoRR abs/2009.03506 (2020) - [i4]Zheng Yuan, Zhengyun Zhao, Sheng Yu:
CODER: Knowledge infused cross-lingual medical term embedding for term normalization. CoRR abs/2011.02947 (2020)
2010 – 2019
- 2019
- [j7]Katherine P. Liao, Jiehuan Sun, Tianrun A. Cai, Nicholas B. Link, Chuan Hong, Jie Huang, Jennifer E. Huffman, Jessica L. Gronsbell, Yichi Zhang, Yuk-Lam Ho, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Christopher J. O'Donnell, J. Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu:
High-throughput multimodal automated phenotyping (MAP) with application to PheWAS. J. Am. Medical Informatics Assoc. 26(11): 1255-1262 (2019) - [j6]Wenxin Ning, Stephanie Chan, Andrew Beam, Ming Yu, Alon Geva, Katherine P. Liao, Mary Mullen, Kenneth D. Mandl, Isaac S. Kohane, Tianxi Cai, Sheng Yu:
Feature extraction for phenotyping from semantic and knowledge resources. J. Biomed. Informatics 91 (2019) - [c6]Yucong Lin, Cheng Ma, Daiqi Gao, Zihao Fan, Zijie Cheng, Zheyu Wang, Sheng Yu:
Long distance entity relation extraction with article structure embedding and applied to mining medical knowledge. ICHI 2019: 1-7 - 2018
- [j5]Sheng Yu, Yumeng Ma, Jessica L. Gronsbell, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai:
Enabling phenotypic big data with PheNorm. J. Am. Medical Informatics Assoc. 25(1): 54-60 (2018) - [j4]Jennifer A. Sinnott, Fiona Cai, Sheng Yu, Boris P. Hejblum, Chuan Hong, Isaac S. Kohane, Katherine P. Liao:
PheProb: probabilistic phenotyping using diagnosis codes to improve power for genetic association studies. J. Am. Medical Informatics Assoc. 25(10): 1359-1365 (2018) - [c5]Katherine P. Liao, Jiehuan Sun, Tianrun A. Cai, Nicholas B. Link, Chuan Hong, Jie Huang, Jennifer E. Huffman, Jessica L. Gronsbell, Lauren Costa, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, J. Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu, Tianxi Cai:
High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS. AMIA 2018 - [c4]Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang:
Generation of Synthetic Electronic Medical Record Text. BIBM 2018: 374-380 - [i3]Yuanhao Liu, Sheng Yu:
Word Segmentation as Graph Partition. CoRR abs/1804.01778 (2018) - [i2]Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang:
Generation of Synthetic Electronic Medical Record Text. CoRR abs/1812.02793 (2018) - 2017
- [j3]Sheng Yu, Abhishek Chakrabortty, Katherine P. Liao, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai:
Surrogate-assisted feature extraction for high-throughput phenotyping. J. Am. Medical Informatics Assoc. 24(e1): e143-e149 (2017) - [c3]Sheng Yu, Yumeng Ma, Jessica L. Gronsbell, Katherine P. Liao, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai:
High-throughput Phenotyping via Denoised Normal Mixture Transformation. AMIA 2017 - 2015
- [j2]Sheng Yu, Katherine P. Liao, Stanley Y. Shaw, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai:
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources. J. Am. Medical Informatics Assoc. 22(5): 993-1000 (2015) - [c2]Uri Kartoun, Vishesh Kumar, Su-Chun Cheng, Sheng Yu, Katherine P. Liao, Elizabeth W. Karlson, Ashwin N. Ananthakrishnan, Zongqi Xia, Vivian S. Gainer, Andrew Cagan, Guergana Savova, Pei J. Chen, Shawn N. Murphy, Susanne E. Churchill, Isaac S. Kohane, Peter Szolovits, Tianxi Cai, Stanley Y. Shaw:
Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records. AMIA 2015 - [c1]Shawn N. Murphy, Vivian S. Gainer, Victor M. Castro, Alyssa P. Goodson, Lori C. Phillips, Sheng Yu, Tianxi Cai:
Computable Phenotypes enabled by the i2b2 Validation Platform. AMIA 2015 - 2014
- [j1]Sheng Yu, Kanako K. Kumamaru, Elizabeth George, Ruth M. Dunne, Arash Bedayat, Matey Neykov, Andetta R. Hunsaker, Karin E. Dill, Tianxi Cai, Frank J. Rybicki:
Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing. J. Biomed. Informatics 52: 386-393 (2014) - 2013
- [i1]Sheng Yu, Tianxi Cai:
A Short Introduction to MiniNLP. CoRR abs/1311.6063 (2013)
Coauthor Index
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last updated on 2024-11-19 20:46 CET by the dblp team
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