Hello! I’m Litao Qiao, also known online as Joeyonng. I’m currently a PhD student in ECE department of University of California, San Diego (UCSD) since 2020. UCSD is also where I earned my bachelor’s in 2018.
My primary research interest is Explainable machine learning and my expertise extends to general machine learning theory, combinatorial logic, and deep learning.
This website serves as a platform for sharing my learned knowledge and research notes. Additionally, I enjoy developing web applications and you can find some of my side projects in my Github.
Selected Papers
Qiao, Litao, Weijia Wang, Sanjoy Dasgupta and Bill Lin. “Rethinking Logic Minimization for Tabular Machine Learning.” IEEE Transactions on Artificial Intelligence 4 (2023): 1129-1140.
Qiao, Litao, Weijia Wang and Bill Lin. “Alternative Formulations of Decision Rule Learning from Neural Networks.” Mach. Learn. Knowl. Extr. 5 (2023): 937-956.
Wang, Weijia, Litao Qiao and Bill Lin. “Disjunctive Threshold Networks for Tabular Data Classification.” IEEE Open Journal of the Computer Society 4 (2023): 185-194.
Qiao, Litao, Weijia Wang and Bill Lin. “Learning Accurate and Interpretable Decision Rule Sets from Neural Networks.” AAAI Conference on Artificial Intelligence (2021).