My research interest lies in machine learning for trustworthy AI. I am broadly interested in developing principled machine learning algorithms for building more reliable, trustworthy, and human-compatible AI systems in the real world.

Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data … Thirty …

Anqi “Angie” Liu is an assistant professor in the Department of Computer Science at the Whiting School of Engineering and a member of the Data Science and Artificial Intelligence Institute.

Zhang, J., Wang, H., Chen, J. and Liu, A. 2024. Cryptocurrency price bubble detection using log-periodic power law model and wavelet analysis IEEE Transactions on Engineering Management 71, pp. 11796-1812. (10.1109/TEM.2024.3427647

‪Tulane University‬ - ‪‪Cited by 405‬‬ - ‪Human Genetics‬ - ‪Computational Biology‬ - ‪Bioinformatics‬ - ‪Deep Learning‬

Anqi Liu is an instructor at Tulane University with a strong foundation in biomedical informatics, biostatistics, and medicine. Her research leverages her medical background and statistical expertise to interpret complex data, particularly in whole genome sequencing (WGS), transcriptome-wide association studies (TWAS), multi-omics data ...

Anqi Liu Assistant Professor, Computer Science, Johns Hopkins University Postdoc, Computing and Mathematical Sciences, California Institute of Technology PhD student, Computer Science, University of Illinois, Chicago Joined September 2018

Anqi Liu is a scholar specializing in modern and contemporary Sinophone and Chinese diasporic literature. She holds a Ph.D. in Comparative Literature and Intercultural Studies.

I am an Assistant Professor in the CS department at the Whiting School of Engineering of… · Experience: The Johns Hopkins University · Education: University of Illinois at Chicago · Location:...

Anqi Li, Lisa Sauermann. Sárközy's Theorem in Various Finite Field Settings. SIAM Journal on Discrete Mathematics (SIDMA) pdf. Preprint available at arXiv:2212.12754.