About Me
Hi! I am a 4th year CSE Ph.D. student at the University of Washington, advised by Su-In Lee at Artificial Intelligence for Biological and Medical Sciences (AIMS). My research focuses on the intersection of explainable AI, particularly feature and data attribution, generative models, and treatment effect estimation. I apply these methods to improve model transparency, fairness, and safety, aiming to enhance understanding and decision-making in complex real-world settings, particularly in the biomedical domain.
You can reach out to me at mingyulu[at]cs[dot]washington[dot]edu
Selected Publications
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Mingyu Lu, Ian Covert, Nathan J White, Su-In Lee. CODE-XAI: Construing and Deciphering Treatment Effects via Explainable AI using Real-world Data. medRxiv 2024 [paper]
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Chris Lin *, Mingyu Lu * , Su-In Lee. Efficient Shapley Values for Attributing Global Properties of Diffusion Models to Data Groups. Navigating and Addressing Data Problems for Foundation Models at ICLR 2024 Workshop [paper]
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Ian Connick Covert, Wei Qiu, MingYu Lu, Na Yoon Kim, Nathan J White, Su-In Lee. Learning to maximize mutual information for dynamic feature selection ICLR 2023 [paper]
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MingYu Lu, Yifang Chen, Su-In Lee. A Deep Bayesian Bandits Approach for Anticancer Drug Screening: Exploration via Functional Prior. Adaptive Experimental Design and Active Learning in the Real World Workshop at ICML 2022 [paper]
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Rui Li, Stephanie Hu, Yuria Utsumi, MingYu Lu, Prithwish Chakraborty, Daby Sow, Piyush Madan, Jun Li, Mohamed Ghalwash, Zachary Shahn, Li-wei H Lehman. G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. Machine Learning for Health (ML4H) Workshop at NeurIPS 2021.[paper]
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MingYu Lu, Zach Shah, Finale Doshi Velez, Li-Wei Lehman. Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment. AMIA 2020 Distinguished Paper. [paper]
Leadership/Awards
| Year | Leadership/Awards |
|---|---|
| 2020 | Organizer of NewInML at NeurIPS 2020 |
| 2019 | LEAP Fellowship of the Ministry of Science and Technology of Taiwan. |
| 2017 | CoFounder of TinyNote |