Qianli Liao

Current Advisees

Past Advisees

Alex Chen - UROP
Tom Dudzik - UROP
Xiaolu Guo - EIT
Parker Hao - EIT
Gabe Hege - Graduate Student
Erwin Hilton - Graduate Student
Zhuoqiao Hong - Graduate Student
Kriti Jain - EIT
Ivan Jutamulia - Undergraduate Research Assistant
Sule Kahraman - UROP
Jessica Liu - EIT
Sofia Luo - UROP
Vivian Qian - UROP
Alizee Schoen - UROP
Prachi Sinha - EIT
David Walter - Graduate Student
Alex Yang - UROP
Mingshi Yang - UROP
Kevin Yue - UROP
Queenie Zhang - UROP
Tong Zhao - UROP

Projects

CBMM Publications

T. Poggio, Banburski, A., and Liao, Q., Theoretical issues in deep networks, Proceedings of the National Academy of Sciences, p. 201907369, 2020.
W. Xiao, Chen, H., Liao, Q., and Poggio, T., Biologically-plausible learning algorithms can scale to large datasets., in International Conference on Learning Representations, (ICLR 2019), 2019.
A. Banburski, Liao, Q., Miranda, B., Rosasco, L., Hidary, J., and Poggio, T., Dynamics & Generalization in Deep Networks -Minimizing the Norm, in NAS Sackler Colloquium on Science of Deep Learning, Washington D.C., 2019.
T. Poggio and Liao, Q., Theory I: Deep networks and the curse of dimensionality, Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 66, no. 6, 2018.
T. Poggio and Liao, Q., Theory II: Deep learning and optimization, Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 66, no. 6, 2018.
H. Mhaskar, Liao, Q., and Poggio, T., When and Why Are Deep Networks Better Than Shallow Ones?, AAAI-17: Thirty-First AAAI Conference on Artificial Intelligence. 2017.
Q. Liao, Leibo, J. Z., and Poggio, T., How Important Is Weight Symmetry in Backpropagation?, in Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ., 2016.
Q. Liao, Leibo, J. Z., and Poggio, T., How Important Is Weight Symmetry in Backpropagation?, in Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ., 2016.
J. Z. Leibo, Liao, Q., and Poggio, T., Subtasks of Unconstrained Face Recognition. 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. (VISAPP)., Lisbon, Portugal, 2014.