Michael Li

According to our database, Michael Li authored at least 17 papers between 2001 and 2025.

Collaborative distances:

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

2025

Model Internal Sleuthing: Finding Lexical Identity and Inflectional Morphology in Modern Language Models.

Michael Li, Nishant Subramani

CoRR, June, 2025

2024

The House Always Wins: A Framework for Evaluating Strategic Deception in LLMs.

Tanush Chopra, Michael Li

CoRR, 2024

Security Mechanism Based Automotive Software Update Management Strategy.

Michael Li, Yuli Ye, Liwen Jiang, Yuwei Su, Hanyu Li

Proceedings of the 2024 4th International Conference on Big Data, 2024

Modeling and Risk Assessment of Information Security Threats Based on Automotive CAN Bus.

Vivien Kong, Michael Li, Yuli Ye, Xingpei Bian, Xu Liu, Jing Liu, Meng Han

Proceedings of the 2024 4th International Conference on Big Data, 2024

2023

Why think step by step? Reasoning emerges from the locality of experience.

Ben Prystawski, Michael Li, Noah D. Goodman

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

NAS-X: Neural Adaptive Smoothing via Twisting.

Dieterich Lawson, Michael Li, Scott W. Linderman

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

2022

A Prototype Design and Usability Evaluation of a Chinese Educational System.

Michael Li, Qiping Zhang

Proceedings of the Design, User Experience, and Usability: Design for Emotion, Well-being and Health, Learning, and Culture, 2022

2021

Generative Probabilistic Image Colorization.

Chie Furusawa, Shinya Kitaoka, Michael Li, Yuri Odagiri

CoRR, 2021

COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database.

Daniel Robert Korn, Tesia M. Bobrowski, Michael Li, Yaphet Kebede, Patrick Wang, Phillips Owen, Gaurav Vaidya, Eugene N. Muratov, Rada Chirkova, Chris Bizon, Alexander Tropsha

Bioinform., 2021

2020

Build the State-of-the-Art Machine Learning Technology for the Crypto Economy.

Michael Li, Catalin Tiseanu, Burkay Gur

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Certifai: A Toolkit for Building Trust in AI Systems.

Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Nonlinear Curve Fitting Using Extreme Learning Machines and Radial Basis Function Networks.

Michael Li, Santoso Wibowo, William W. Guo

Comput. Sci. Eng., 2019

2018

Bayesian Linear Regression Model for Curve Fitting.

Michael Li

Proceedings of the Intelligent Information Processing IX, 2018

2017

Bayesian Curve Fitting Based on RBF Neural Networks.

Michael Li, Santoso Wibowo

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015

Delay and rate satisfaction for data transmission with application in wireless communications.

Michael Li, Xiaodong Wang

IEEE Netw., 2015

2008

Mesenchymal Motion Models in One Dimension.

Zhi-An Wang, Thomas Hillen, Michael Li

SIAM J. Appl. Math., 2008

2001

Eye Pattern Analysis in Intelligent Virtual Agents.

Michael Li, Ted Selker

Proceedings of the Intelligent Virtual Agents, Third International Workshop, 2001