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ORCIDRuijun Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Ruijun Chen 0001
![[0000-0001-5880-7446]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5880-7446")
— Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
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2020 – today
- 2025
[j8]David M. Vidmar, Jessica K. De Freitas, Will E. Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen:
A probabilistic approach for building disease phenotypes across electronic health records. BioData Min. 18(1) (2025)- [c18]Zhenzhen Wei, Ruijun Chen, Xue Wu, Jie Tang, Wei Zhang, Xiaomei Chen, Zhengfang Li, Chen Chen:
Multi-perspective Raman spectroscopy combined with deep learning assisted diagnosis of diseases. ISAIMS 2025: 384-388 - [c17]Jingye Lin, Ruijun Chen, Xue Wu, Jie Tang, Wei Zhang, Xiaomei Chen, Zhengfang Li, Chen Chen:
PA-ARNet: A Peak-Aware Attention Residual Network for Infrared Spectral Classification of IgA Nephropathy. ISAIMS 2025: 389-394 - [c16]Wenyao Wang, Chen Chen, Ruijun Chen, Wei Zhang, Yan Liu, Yan Liu, Jie Tang, Zhaohui Luo:
DP-SENet: A Dual-Path Attention Raman Spectroscopy Analysis Network for IgA Nephropathy Diagnosis. ISAIMS 2025: 395-400 - [c15]Chongming Gao, Ruijun Chen, Shuai Yuan, Kexin Huang, Yuanqing Yu, Xiangnan He:
SPRec: Self-Play to Debias LLM-based Recommendation. WWW 2025: 5075-5084 - 2024
- [i6]Chongming Gao, Ruijun Chen, Shuai Yuan, Kexin Huang, Yuanqing Yu, Xiangnan He:
SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations. CoRR abs/2412.09243 (2024) - 2023
- [i5]Will E. Thompson, David M. Vidmar, Jessica K. De Freitas, John M. Pfeifer, Brandon K. Fornwalt, Ruijun Chen, Gabriel Altay, Kabir Manghnani, Andrew C. Nelsen, Kellie Morland, Martin C. Stumpe, Riccardo Miotto:
Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping. CoRR abs/2312.06457 (2023) - 2022
- [c14]Jianhua Lv, Haibo Li, Wei Chen, Ruijun Chen:
Research on Intelligent Recognition Method for Electrical Equipment and Meter. CAIBDA 2022: 1-4 - 2021
- [j7]Ruijun Chen, Yingqi Liu, Fei Zhou:
Turning Danger into Safety: The Origin, Research Context and Theoretical Framework of Organizational Resilience. IEEE Access 9: 48899-48913 (2021) - [j6]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study. J. Am. Medical Informatics Assoc. 28(1): 196 (2021) - [j5]Amanda J. Moy, Jessica M. Schwartz, Ruijun Chen, Shirin Sadri, Eugene Lucas, Kenrick D. Cato, Sarah Collins Rossetti:
Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review. J. Am. Medical Informatics Assoc. 28(5): 998-1008 (2021) - [j4]Victor Alfonso Rodriguez, Shreyas Bhave, Ruijun Chen, Chao Pang, George Hripcsak, Soumitra Sengupta, Noemie Elhadad, Robert A. Green, Jason S. Adelman, Katherine Schlosser Metitiri, Pierre A. Elias, Holden Groves, Sumit Mohan, Karthik Natarajan, Adler J. Perotte:
Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. J. Am. Medical Informatics Assoc. 28(7): 1480-1488 (2021) - [j3]Anna Ostropolets, Philip Zachariah, Patrick B. Ryan, Ruijun Chen, George Hripcsak:
Data Consult Service: Can we use observational data to address immediate clinical needs? J. Am. Medical Informatics Assoc. 28(10): 2139-2146 (2021) - [c13]Yunda Wang, Gang Zhang, Ruijun Chen, Zhigang Liu, Ruichang Qiu:
Analysis of digital twin application of urban rail power supply system for energy saving. DTPI 2021: 29-32 - [c12]Chao Pang, Xinzhuo Jiang, Krishna S. Kalluri, Matthew E. Spotnitz, Ruijun Chen, Adler J. Perotte, Karthik Natarajan:
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks. ML4H@NeurIPS 2021: 239-260 - [i4]Ruijun Chen, Jiong Qiu, Xuejiao Tang:
Responsibility Management through Responsibility Networks. CoRR abs/2102.07246 (2021) - [i3]Xin Huang, Xuejiao Tang, Wenbin Zhang, Shichao Pei, Ji Zhang, Wensheng Gan, Mingli Zhang, Zhen Liu, Ruijun Chen, Yiyi Huang:
A Generic Knowledge Based Medical Diagnosis Expert System. CoRR abs/2110.04439 (2021) - [i2]Chao Pang, Xinzhuo Jiang, Krishna S. Kalluri, Matthew E. Spotnitz, Ruijun Chen, Adler J. Perotte, Karthik Natarajan:
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks. CoRR abs/2111.08585 (2021) - 2020
- [j2]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study. J. Am. Medical Informatics Assoc. 27(8): 1268-1277 (2020) - [j1]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND). J. Am. Medical Informatics Assoc. 27(8): 1331-1337 (2020) - [c11]Ruijun Chen, Amelia J. Averitt, Oliver J. Bear Don't Walk IV, Shreyas Bhave, Lisa Grossman Liu, Elliot G. Mitchell, Victor Alfonso Rodriguez, Phyllis Thangaraj, Tony Y. Sun:
The CLinically Explainable Actionable Risk (CLEAR) Model. AMIA 2020 - [c10]Ruijun Chen, Martijn J. Schuemie, Marc A. Suchard, Anna Ostropolets, Linying Zhang, Patrick B. Ryan, George Hripcsak:
Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research. AMIA 2020 - [c9]Chao Pang, Ruijun Chen, Harry Reyes Nieva, Krishna Kalluri, Tony Sun, Xinzhuo Jiang, Victor Alfonso Rodriguez, Patrick B. Ryan, Karthik Natarajan:
Characterization and Comparison of Embedding Algorithms for Phenotyping across a Network of Observational Databases. AMIA 2020 - [c8]Victor Alfonso Rodriguez, Tony Sun, Phyllis Thangaraj, Chao Pang, Krishna Kalluri, Xinzhuo Jiang, Karthik Natarajan, Patrick B. Ryan, Anna Ostropolets, Ruijun Chen:
Phenotype Concept Set Construction from Concept Pair Likelihoods. AMIA 2020 - [c7]Linying Zhang, Yixin Wang, Anna Ostropolets, Ruijun Chen, David M. Blei, George Hripcsak:
The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures. AMIA 2020 - [c6]Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang:
A Data-driven Human Responsibility Management System. IEEE BigData 2020: 5834-5838 - [i1]Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang:
A Data-driven Human Responsibility Management System. CoRR abs/2012.03190 (2020)
2010 – 2019
- 2019
- [c5]Heng Du, Zhen Li, Ruijun Chen, Zhuo Yin, Zhe Fu, Qiang Zhang, Xiao Xiao, Ming Luo, Feng Bao:
Dynamic Time Warping and Spectral Clustering Based Fault Detection and Diagnosis of Railway Point Machines. ITSC 2019: 595-600 - [c4]Junguo Sun, Xiao Xiao, Ming Luo, Feng Bao, Nan Cao, Ruijun Chen:
Dynamic Dwell Time Determination and Optimization based on Motion Detection Algorithm. ITSC 2019: 858-862 - [c3]Rimma Belenkaya, Michael J. Gurley, Dmitry Dymshyts, Sonia Araujo, Andrew E. Williams, Ruijun Chen, Christian G. Reich:
Standardized Observational Cancer Research Using the OMOP CDM Oncology Module. MedInfo 2019: 1831-1832 - 2018
- [c2]Rimma Belenkaya, Walter S. Campbell, Ruijun Chen, Michael J. Gurley, Stanley M. Huff, Gurvaneet Randhawa, Christian G. Reich, Mitra Rocca:
Data Standardization in Cancer: Challenges and Opportunities. AMIA 2018 - [c1]Ruijun Chen, Patrick B. Ryan, Karthik Natarajan, Thomas Falconer, Christian G. Reich, Rohit Vashisht, Nigam Shah, George Hripcsak:
Treatment Pathways in Patients with Cancer Using a Large-scale Observational Data Network. AMIA 2018
Coauthor Index
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