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Sicheng Zhou
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2020 – today
- 2024
- [j14]Sunyang Fu, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Rui Zhang, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn:
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J. Am. Medical Informatics Assoc. 31(7): 1493-1502 (2024) - [j13]Ying Liu, Haozhu Wang, Huixue Zhou, Mingchen Li, Yu Hou, Sicheng Zhou, Fang Wang, Rama Hoetzlein, Rui Zhang:
A review of reinforcement learning for natural language processing and applications in healthcare. J. Am. Medical Informatics Assoc. 31(10): 2379-2393 (2024) - [j12]Le Peng, Gaoxiang Luo, Sicheng Zhou, Jiandong Chen, Ziyue Xu, Ju Sun, Rui Zhang:
An in-depth evaluation of federated learning on biomedical natural language processing for information extraction. npj Digit. Medicine 7(1) (2024) - [j11]Sicheng Zhou, Meng Wang, Jindou Jia, Kexin Guo, Xiang Yu, Youmin Zhang, Lei Guo:
Fault Separation Based on An Excitation Operator With Application to a Quadrotor UAV. IEEE Trans. Aerosp. Electron. Syst. 60(4): 4010-4022 (2024) - [c21]Lijuan Liu, Sicheng Zhou, Yan Sun, Yi Zheng:
Analysis of AI Design Creation Based on Generative Digital Construction of Sichuan Stone Carving Plant Patterns. DSAI 2024: 354-360 - [c20]J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. e-Science 2024: 1-10 - [i10]Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster:
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. CoRR abs/2407.11432 (2024) - [i9]J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. CoRR abs/2408.07236 (2024) - 2023
- [j10]Wenyu Zhang, Jindou Jia, Sicheng Zhou, Kexin Guo, Xiang Yu, Youmin Zhang:
A Safety Planning and Control Architecture Applied to a Quadrotor Autopilot. IEEE Robotics Autom. Lett. 8(2): 680-687 (2023) - [j9]Xiaobin Zhou, Xiang Yu, Kexin Guo, Sicheng Zhou, Lei Guo, Youmin Zhang, Xiaoyan Peng:
Safety Flight Control Design of a Quadrotor UAV With Capability Analysis. IEEE Trans. Cybern. 53(3): 1738-1751 (2023) - [i8]Sicheng Zhou, Nan Wang, Liwei Wang, Ju Sun, Anne H. Blaes, Hongfang Liu, Rui Zhang:
A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records. CoRR abs/2303.08448 (2023) - [i7]Le Peng, Sicheng Zhou, Jiandong Chen, Rui Zhang, Ziyue Xu, Ju Sun:
A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing. CoRR abs/2307.11254 (2023) - [i6]Sicheng Zhou, Meng Wang, Jindou Jia, Kexin Guo, Xiang Yu, Youmin Zhang, Lei Guo:
Fault Separation Based on An Excitation Operator with Application to a Quadrotor UAV. CoRR abs/2308.10217 (2023) - [i5]Ying Liu, Haozhu Wang, Huixue Zhou, Mingchen Li, Yu Hou, Sicheng Zhou, Fang Wang, Rama Hoetzlein, Rui Zhang:
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare. CoRR abs/2310.18354 (2023) - 2022
- [j8]Sicheng Zhou, Nan Wang, Liwei Wang, Hongfang Liu, Rui Zhang:
CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records. J. Am. Medical Informatics Assoc. 29(7): 1208-1216 (2022) - [c19]Tanya E. Melnik, Joshua A. Thompson, Jake Vasilakes, Tucker Annis, Sicheng Zhou, Dalton Schutte, Genevieve Melton-Meaux, Susan Pleasants, Rui Zhang:
Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution. AMIA 2022 - [c18]Liwei Wang, Sungrim Moon, Sicheng Zhou, Huan He, Hongfang Liu:
Annotation Enhancement of Synthetic Family History Corpus. AMIA 2022 - [c17]Sicheng Zhou, Rui Zhang, Xinpeng Shen, Chetan Shenoy, Anne H. Blaes, György J. Simon:
Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients Using Electronic Health Record. AMIA 2022 - [c16]Hanlin Zhu, Sicheng Zhou, Mengyuan Wang:
Forecasting Short-Term Crude Oil Price Movements using Futures Market Dynamics: Crude Oil Forecasting with Futures Market Properties. IC4E 2022: 542-554 - [c15]Haozuo Zhao, Haitao Chu, Sicheng Zhou, Fang Yu, Xianghua Luo, Rui Zhang:
Racial Disparities in Alzheimer's Disease and Alzheimer's Disease-Related Dementias from the Disease Progression Perspective. ICHI 2022: 550-552 - [i4]Sicheng Zhou, Rui Zhang, Anne H. Blaes, Chetan Shenoy, György J. Simon:
Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients. CoRR abs/2201.13036 (2022) - 2021
- [j7]Yadan Fan, Sicheng Zhou, Yifan Li, Rui Zhang:
Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text. J. Am. Medical Informatics Assoc. 28(3): 569-577 (2021) - [j6]Sicheng Zhou, Kexin Guo, Xiang Yu, Lei Guo, Lihua Xie:
Fixed-Time Observer Based Safety Control for a Quadrotor UAV. IEEE Trans. Aerosp. Electron. Syst. 57(5): 2815-2825 (2021) - [c14]Sicheng Zhou, Liwei Wang, Nan Wang, Sunyang Fu, Chetan Shenoy, Anne H. Blaes, Hongfang Liu, Rui Zhang:
Deep Learning Approaches for Breast Cancer Characteristics Extraction from Electronic Health Records. AMIA 2021 - [c13]Yasi Zhang, Sicheng Zhou, Xi Zheng, Yuyu Wang, Minrui Liang:
Modeling and Predicting the Outcomes of NBA Basketball Games. ESSE 2021: 94-99 - [c12]Sicheng Zhou, Dalton Schutte, Aiwen Xing, Jiyang Chen, Julian Wolfson, Zhe He, Fang Yu, Rui Zhang:
Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language Models. ICHI 2021: 513-514 - [i3]Sicheng Zhou, Liwei Wang, Nan Wang, Hongfang Liu, Rui Zhang:
CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records. CoRR abs/2108.11303 (2021) - 2020
- [j5]Chen Liang, Sicheng Zhou, Bin Yao, Donna Hood, Yang Gong:
Toward systems-centered analysis of patient safety events: Improving root cause analysis by optimized incident classification and information presentation. Int. J. Medical Informatics 135: 104054 (2020) - [j4]Chen Liang, Sicheng Zhou, Bin Yao, Donna Hood, Yang Gong:
Corrigendum to "Toward systems-centered analysis of patient safety events: Improving root cause analysis by optimized incident classification and information presentation" [Int. J. Med. Inform. 135 (2020) 104054]. Int. J. Medical Informatics 137: 104103 (2020) - [i2]Xing He, Rui Zhang, Jordan Alpert, Sicheng Zhou, Terrence J. Adam, Aantaki Raisa, Yifan Peng, Hansi Zhang, Jiang Bian:
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information? CoRR abs/2007.02333 (2020) - [i1]Yadan Fan, Sicheng Zhou, Yifan Li, Rui Zhang:
Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text. CoRR abs/2009.07780 (2020)
2010 – 2019
- 2019
- [j3]Ningjia Qiu, Lin Cong, Sicheng Zhou, Peng Wang:
Barrage Text Classification with Improved Active Learning and CNN. J. Adv. Comput. Intell. Intell. Informatics 23(6): 980-989 (2019) - [c11]Sicheng Zhou:
Extracting Phenotypes of Cancer Patients from Electronic Health Records. ICHI 2019: 1-2 - [c10]Sicheng Zhou, Yunpeng Zhao, Rubina F. Rizvi, Jiang Bian, Ann F. Haynos, Rui Zhang:
Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms. ICHI 2019: 1-4 - [c9]Sicheng Zhou, Xinyuan Zhang, Rui Zhang:
Identifying Cardiomegaly in ChestX-ray8 Using Transfer Learning. MedInfo 2019: 482-486 - 2018
- [j2]Hong Kang, Sicheng Zhou, Bin Yao, Yang Gong:
A prototype of knowledge-based patient safety event reporting and learning system. BMC Medical Informatics Decis. Mak. 18(S-5): 13-22 (2018) - [j1]Sicheng Zhou, Hong Kang, Bin Yao, Yang Gong:
An automated pipeline for analyzing medication event reports in clinical settings. BMC Medical Informatics Decis. Mak. 18(S-5): 113:1-113:11 (2018) - [c8]Bin Yao, Hong Kang, Ju Wang, Sicheng Zhou, Yang Gong:
Toward Reporting Support and Quality Assessment for Learning from Reporting: A Necessary Data Element Model for Narrative Medication Error Reports. AMIA 2018 - [c7]Xinyuan Zhang, Sicheng Zhou, Luca Giancardo, Cui Tao:
Computer Aided Diagnosis of Chest X-rays using by Combining Deep Convolutional Neural Networks. AMIA 2018 - [c6]Sicheng Zhou, Hong Kang, Bin Yao, Yang Gong:
Analyzing Medication Error Reports in Clinical Settings: An Automated Pipeline Approach. AMIA 2018 - [c5]Sicheng Zhou, Hong Kang, Bin Yao, Yang Gong:
Unveiling Originated Stages of Medication Errors: An Automated Pipeline Approach. Nursing Informatics 2018: 182-186 - [c4]Bin Yao, Hong Kang, Ju Wang, Sicheng Zhou, Yang Gong:
Exploring Health Information Technology Events from FDA MAUDE Database. Nursing Informatics 2018: 187-191 - 2017
- [c3]Sicheng Zhou, Hong Kang, Yang Gong:
Design a Learning-Oriented Fall Event Reporting System Based on Kirkpatrick Model. MedInfo 2017: 828-832 - [c2]Bin Yao, Hong Kang, Qi Miao, Sicheng Zhou, Chen Liang, Yang Gong:
Leveraging Event Reporting Through Knowledge Support: A Knowledge-Based Approach to Promoting Patient Fall Prevention. MedInfo 2017: 973-977 - [c1]Hong Kang, Frank Wang, Sicheng Zhou, Qi Miao, Yang Gong:
Identifying and Synchronizing Health Information Technology (HIT) Events from FDA Medical Device Reports. MedInfo 2017: 1048-1052
Coauthor Index
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last updated on 2024-11-07 20:28 CET by the dblp team
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