Teaching Experience

• Course co-ordinator, “Advanced Statistical Learning”, SSHSPH, NUS since 2019
• Course co-ordinator, “Healthcare Analytics”, SSHSPH, NUS, since 2019
• Lecturer, “Introduction to Biostatistics and Data Analytics” since 2017
• Lecturer, “Public Health in Action” since 2017
• Instructor, “Business Analytics and Applications”, since 2015
• Invited lecturer for Computational Biology, SOC, NUS 2015
• Guest lecturer for the Course Health Informatics, Boston University, US 2014
• Course faulty of MIT course “HST 936 Global Health Informatics to Improve Quality of Care”, 2014
• Co-supervising a PhD student from University of Technology, Sydney, 2014
• Supervising 2 UROP students at MIT, 2014
• Supervised 1 master student, 19 undergraduate students, 4 polytechnic students and 7 Junior colleague students at
Institute for Infocomm Research, A*STAR, Singapore, 2009~2012
• Part-time lecturer for the course “Circuit Analysis”, Nanyang Technological University, Singapore, 2009

Peer-Reviewed Publications

Book Chapters 

1. Mengling Feng, Editor for “AI Ops Competition”, Springer, 2021.
2. Ng, Dianwen, and Mengling Feng. "Medical Image Recognition: An Explanation and Hands-On Example of Convolutional
Networks." In Leveraging Data Science for Global Health, pp. 263-284. Springer, Cham, 2020.
3. Liu, Siqi, Hao Du, and Mengling Feng. "Robust Predictive Models in Clinical Data—Random Forest and Support Vector
Machines." In Leveraging Data Science for Global Health, pp. 219-228. Springer, Cham, 2020.
4. Mengling Feng, MIT Critical Care, Secondary Analysis of Electronic Health Records, Springer, 2016
5. Mengling Feng, Mohammad Ghassemi, “Communication Networks for Global Health”, Global Health Informatics, MIT
Press 2016
6. Mengling Feng: “Contrast Pattern Maintenance”, Contrast Data Mining: Concepts, Algorithms and Applications, edited
by Guozhu Dong and James Bailey, Chapman & Hall, 2014.
7. Mengling Feng, Jinyan Li, Guozhu Dong, Limsoon Wong: ”Maintenance of Frequent Patterns: A Survey”, Post-Mining
of Association Rules: Techniques for Effective Knowledge Extraction, edited by Yanchang Zhao, Chengqi Zhang, and
Longbing Cao, IGI Global, May 2009.

Journal Papers 

1. Gao, Zhan, Qika Lin, Huaxuan Wen, Bin Pu, Mengling Feng (corresponding author), and Kenli Li. "Incorporating Large
Vision Model Distillation and Fuzzy Perception for Improving Disease Diagnosis." IEEE Transactions on Fuzzy Systems
(2025).
2. Lin, Qika, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, and Mengling Feng. "Cross-modal Knowledge Diffusion-based
Generation for Difference-aware Medical VQA." IEEE Transactions on Image Processing (2025).
3. Mengling Feng, et al. "Bridging whole slide images and large language model for slide-level question answering." Cancer
Research 85.8_Supplement_1 (2025): 2438-2438.
4. Huang, Ling, Yucheng Xing, Swapnil Mishra, Thierry Denœux, and Mengling Feng. "Evidential time-to-event prediction
with calibrated uncertainty quantification." International Journal of Approximate Reasoning 181 (2025): 109403.
5. Mengling Feng, et al. "A survey of large language models for healthcare: from data, technology, and applications to
accountability and ethics." Information Fusion (2025): 102963.

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