John Li

According to our database, John Li authored at least 10 papers between 2003 and 2024.

Collaborative distances:

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

2024

An adaptive transmission strategy based on cloud computing in IoV architecture.

Bin Li, Vivian Li, Miao Li, John Li, Jiaqi Yang

EURASIP J. Wirel. Commun. Netw., December, 2024

2023

Reliable adaptive distributed hyperparameter optimization (RadHPO) for deep learning training and uncertainty estimation.

John Li, Maria Pantoja, Gerardo Fernández-Escribano

J. Supercomput., July, 2023

Critique of: "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From UC San Diego.

Arunav Gupta, John Ge, John Li, Zihao Kong, Kaiwen He, Matthew Mikhailov, Bryan Chin, Xiaochen Li, Maximilian Apodaca, Paul Rodríguez, Mahidhar Tatineni, Mary P. Thomas, Santosh Bhatt

IEEE Trans. Parallel Distributed Syst., June, 2023

Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification.

Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Peachy Parallel Assignments (EduHPC 2023).

H. Martin Bücker, Jeremiah Corrado, Daniel Fedorin, Diego Garcia-Alvarez, Arturo González-Escribano, John Li, Maria Pantoja, Erik Pautsch, Marieke Plesske, Marcelo Ponce, Silvio Rizzi, Erik Saule, Johannes Schoder, George K. Thiruvathukal, Ramses van Zon, Wolf Weber, David P. Bunde

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2019

Limitations of Pinned AUC for Measuring Unintended Bias.

Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman

CoRR, 2019

2018

Measuring and Mitigating Unintended Bias in Text Classification.

Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2005

Analogy, Deduction and Learning.

John Li, Deborah Nichols, Allan Terry

Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS-38 2005), 2005

2004

Analogy and Deduction for Knowledge Discovery.

Jim Reynolds, Adam Pease, John Li

Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, 2004

2003

Agent-Mediated Knowledge Engineering Collaboration.

Adam Pease, John Li

Proceedings of the Agent Mediated Knowledge Management, 2003