Michael Lingzhi Li

26 papers A* 2Journal 24
YearRankTypeTitle / Venue / Authors
2025 J jnl
Branch-and-Price for Prescriptive Contagion Analytics.
Oper. Res.
Alexandre Jacquillat, Michael Lingzhi Li, Martin Ramé, Kai Wang
2025 J jnl
Slowly Varying Regression Under Sparsity.
Oper. Res.
Dimitris Bertsimas, Vassilis Digalakis, Michael Lingzhi Li, Omar Skali Lami
2025 J jnl
The CRITICAL Records Integrated Standardization Pipeline (CRISP): End-to-End Processing of Large-scale Multi-institutional OMOP CDM Data.
CoRR
Xiaolong Luo, Michael Lingzhi Li
2024 J jnl
Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation.
CoRR
Michael Lingzhi Li, Shixiang Zhu
2024 J jnl
Holistic deep learning.
Mach. Learn.
Dimitris Bertsimas, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
2024 J jnl
Learning to Cover: Online Learning and Optimization with Irreversible Decisions.
CoRR
Alexandre Jacquillat, Michael Lingzhi Li
2024 J jnl
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules.
CoRR
Michael Lingzhi Li, Kosuke Imai
2024 J jnl
The Cram Method for Efficient Simultaneous Learning and Evaluation.
CoRR
Zeyang Jia, Kosuke Imai, Michael Lingzhi Li
2023 J jnl
Benchmarking Large Language Models on CMExam - A Comprehensive Chinese Medical Exam Dataset.
CoRR
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
2023 A* conf
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset.
NeurIPS
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
2023 J jnl
Data-Driven COVID-19 Vaccine Development for Janssen.
INFORMS J. Appl. Anal.
Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, Najat Khan
2023 J jnl
Forecasting COVID-19 and Analyzing the Effect of Government Interventions.
Oper. Res.
Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas A. Trikalinos, Nikolaos Trichakis, Dimitris Bertsimas
2023 J jnl
Interpretable Matrix Completion: A Discrete Optimization Approach.
INFORMS J. Comput.
Dimitris Bertsimas, Michael Lingzhi Li
2022 J jnl
Distributionally Robust Causal Inference with Observational Data.
CoRR
Dimitris Bertsimas, Kosuke Imai, Michael Lingzhi Li
2022 J jnl
Integrated multimodal artificial intelligence framework for healthcare applications.
CoRR
Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard D. J. Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas
2022 J jnl
Integrated multimodal artificial intelligence framework for healthcare applications.
npj Digit. Medicine
Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas
2022 J jnl
Stochastic Cutting Planes for Data-Driven Optimization.
INFORMS J. Comput.
Dimitris Bertsimas, Michael Lingzhi Li
2021 J jnl
Holistic Deep Learning.
CoRR
Dimitris Bertsimas, Léonard Boussioux, Kimberly Villalobos Carballo, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
2021 J jnl
Slowly Varying Regression under Sparsity.
CoRR
Dimitris Bertsimas, Vassilis Digalakis Jr., Michael Lingzhi Li, Omar Skali Lami
2020 A* conf
Duration-of-Stay Storage Assignment under Uncertainty.
ICLR
Michael Lingzhi Li, Elliott Wolf, Daniel Wintz
2020 J jnl
Scalable holistic linear regression.
Oper. Res. Lett.
Dimitris Bertsimas, Michael Lingzhi Li
2019 J jnl
A Hierarchy of Graph Neural Networks Based on Learnable Local Features.
CoRR
Michael Lingzhi Li, Meng Dong, Jiawei Zhou, Alexander M. Rush
2019 J jnl
Accounting for Significance and Multicollinearity in Building Linear Regression Models.
CoRR
Dimitris Bertsimas, Michael Lingzhi Li
2019 J jnl
Application of Duration-of-Stay Storage Assignment with Deep Neural Networks under Uncertainty.
CoRR
Michael Lingzhi Li, Elliott Wolf, Daniel Wintz
2019 J jnl
Fast Exact Matrix Completion: A Unifying Optimization Framework.
CoRR
Dimitris Bertsimas, Michael Lingzhi Li
2018 J jnl
Interpretable Matrix Completion: A Discrete Optimization Approach.
CoRR
Dimitris Bertsimas, Michael Lingzhi Li