Michael Lingzhi Li

According to our database, Michael Lingzhi Li authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Holistic deep learning.

Dimitris Bertsimas, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov

Mach. Learn., January, 2024

The Cram Method for Efficient Simultaneous Learning and Evaluation.

Zeyang Jia, Kosuke Imai, Michael Lingzhi Li

CoRR, 2024

2023

Forecasting COVID-19 and Analyzing the Effect of Government Interventions.

Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas A. Trikalinos, Nikolaos Trichakis, Dimitris Bertsimas

Oper. Res., January, 2023

Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset.

Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Integrated multimodal artificial intelligence framework for healthcare applications.

Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas

npj Digit. Medicine, 2022

Stochastic Cutting Planes for Data-Driven Optimization.

Dimitris Bertsimas, Michael Lingzhi Li

INFORMS J. Comput., 2022

Distributionally Robust Causal Inference with Observational Data.

Dimitris Bertsimas, Kosuke Imai, Michael Lingzhi Li

CoRR, 2022

2021

Slowly Varying Regression under Sparsity.

Dimitris Bertsimas, Vassilis Digalakis Jr., Michael Lingzhi Li, Omar Skali Lami

CoRR, 2021

2020

Scalable holistic linear regression.

Dimitris Bertsimas, Michael Lingzhi Li

Oper. Res. Lett., 2020

Duration-of-Stay Storage Assignment under Uncertainty.

Michael Lingzhi Li, Elliott Wolf, Daniel Wintz

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Hierarchy of Graph Neural Networks Based on Learnable Local Features.

Michael Lingzhi Li, Meng Dong, Jiawei Zhou, Alexander M. Rush

CoRR, 2019

Fast Exact Matrix Completion: A Unifying Optimization Framework.

Dimitris Bertsimas, Michael Lingzhi Li

CoRR, 2019

Application of Duration-of-Stay Storage Assignment with Deep Neural Networks under Uncertainty.

Michael Lingzhi Li, Elliott Wolf, Daniel Wintz

CoRR, 2019

Accounting for Significance and Multicollinearity in Building Linear Regression Models.

Dimitris Bertsimas, Michael Lingzhi Li

CoRR, 2019

2018

Interpretable Matrix Completion: A Discrete Optimization Approach.

Dimitris Bertsimas, Michael Lingzhi Li

CoRR, 2018