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ORCIDMingxuan Liu 0005
Person information
- affiliation: National University of Singapore, Singapore
Other persons with the same name
- Mingxuan Liu — disambiguation page
- Mingxuan Liu 0001
![[0009-0005-9456-015X]](https://dblp.org/img/orcid-mark.12x12.png "0009-0005-9456-015X")
— Tsinghua University, Beijing, China - Mingxuan Liu 0002 — Hubei University of Technology, Wuhan, China
- Mingxuan Liu 0003 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Mingxuan Liu 0004 — University of Southern California, Los Angeles, CA, USA
- Mingxuan Liu 0006 — Zhongguancun Laboratory, Beijing, China
- Mingxuan Liu 0007 — Northwestern Polytechnical University, Xi'an, China
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2020 – today
- 2025
[j7]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jingchi Liao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar Ravichandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
A scoping review and evidence gap analysis of clinical AI fairness. npj Digit. Medicine 8(1) (2025)- [j6]Yilin Ning, Mingxuan Liu, Nan Liu:
Advancing ethical AI in healthcare through interpretability. Patterns 6(7): 101290 (2025) - [i13]Jasmine Chiat Ling Ong, Yilin Ning, Mingxuan Liu, Yian Ma, Zhao Liang, Kuldev Singh, Robert T. Chang, Silke Vogel, John CW Lim, Iris Siu Kwan Tan, Oscar Freyer, Stephen Gilbert, Danielle S. Bitterman, Xiaoxuan Liu, Alastair K. Denniston, Nan Liu:
Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action. CoRR abs/2502.07794 (2025) - [i12]Yilin Ning, Yian Ma, Mingxuan Liu, Xin Li, Nan Liu:
seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness. CoRR abs/2504.08418 (2025) - [i11]Mingxuan Liu, Yuhe Ke, Wentao Zhu, Mayli Mertens, Yilin Ning, Jingchi Liao, Chuan Hong, Daniel Shu Wei Ting, Yifan Peng, Danielle S. Bitterman, Marcus Eng Hock Ong, Nan Liu:
Gender Bias in Large Language Models for Healthcare: Assignment Consistency and Clinical Implications. CoRR abs/2510.08614 (2025) - 2024
- [j5]Rui Yang, Sabarinath Vinod Nair, Yuhe Ke, Danny D'Agostino, Mingxuan Liu, Yilin Ning, Nan Liu:
Disparities in clinical studies of AI enabled applications from a global perspective. npj Digit. Medicine 7(1) (2024) - [j4]Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu:
FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare. Patterns 5(10): 101059 (2024) - [i10]Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu:
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare. CoRR abs/2403.05235 (2024) - [i9]Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty, Yilin Ning, Mingxuan Liu, Feng Xie, Marcus Eng Hock Ong, Nan Liu:
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission. CoRR abs/2403.06999 (2024) - [i8]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR abs/2405.17921 (2024) - [i7]Rui Yang, Yilin Ning, Emilia Keppo, Mingxuan Liu, Chuan Hong, Danielle S. Bitterman, Jasmine Chiat Ling Ong, Daniel Shu Wei Ting, Nan Liu:
Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine. CoRR abs/2406.12449 (2024) - 2023
- [j3]Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Yuqing Shang, Victor Volovici, Bibhas Chakraborty, Nan Liu:
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. Artif. Intell. Medicine 142: 102587 (2023) - [j2]Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu:
FedScore: A privacy-preserving framework for federated scoring system development. J. Biomed. Informatics 146: 104485 (2023) - [j1]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
A translational perspective towards clinical AI fairness. npj Digit. Medicine 6 (2023) - [c1]Han Yuan, Jin Wee Lee, Mingxuan Liu, Siqi Li, Chenglin Niu, Jun Wen, Feng Xie:
Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making. Tiny Papers @ ICLR 2023 - [i6]Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu:
FedScore: A privacy-preserving framework for federated scoring system development. CoRR abs/2303.00282 (2023) - [i5]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
Towards clinical AI fairness: A translational perspective. CoRR abs/2304.13493 (2023) - [i4]Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu, Vaishaanth Nagaraj, Di Miao, Mayli Mertens, Daniel Shu Wei Ting, Jasmine Chiat Ling Ong, Mingxuan Liu, Jiuwen Cao, Michael Dunn, Roger Vaughan, Marcus Eng Hock Ong, Joseph Jao Yiu Sung, Eric J. Topol, Nan Liu:
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist. CoRR abs/2311.02107 (2023) - 2022
- [i3]Mingxuan Liu, Yilin Ning, Han Yuan, Marcus Eng Hock Ong, Nan Liu:
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making. CoRR abs/2206.04050 (2022) - [i2]Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Victor Volovici, Bibhas Chakraborty, Nan Liu:
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. CoRR abs/2210.08258 (2022) - [i1]Yilin Ning, Mingxuan Liu, Nan Liu:
Shapley variable importance cloud for machine learning models. CoRR abs/2212.08370 (2022)
Coauthor Index
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