Current students

Please note: This seminar will be given online.

Pei Wu, Computer Science Department
University of California, Los Angeles

We prove that for every decision tree, the absolute values of the Fourier coefficients of given order $\ell\geq1$ sum to at most $c^{\ell}\sqrt{\binom{d}{\ell}(1+\log n)^{\ell-1}},$ where $n$ is the number of variables, $d$ is the tree depth, and $c>0$ is an absolute constant. This bound is essentially tight and settles a conjecture due to Tal (arxiv 2019; FOCS 2020). 

Please note: This PhD seminar will be given online.

Alister Liao, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Peter van Beek

Please note: This seminar will be given online.

Marios Kogias, Researcher
Microsoft Research, Cambridge

Please note: This seminar will be given online.

Sadjad Fouladi, Computer Science Department
Stanford University

Please note: This seminar will be given online.

Danfei Xu, Computer Science Department
Stanford University

Please note: This master’s thesis presentation will be given online.

Sreeharsha Udayashankar, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

Please note: This PhD seminar will be given online.

Jessy Ceha, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Edith Law

Please note: This master’s thesis presentation will be given online.

Sheik Shameer, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Mei Nagappan

Please note: This seminar will be given online.

Andrea Tagliasacchi, Research Scientist
Google Brain

It is not uncommon to think of computer graphics and computer vision as loosely disconnected disciplines; the former dealing with the synthesis of visual phenomena and the latter with analysis. However, recent advances in deep learning have blurred the boundary between the two. As a consequence, the research path to develop algorithms that effectively interpret the 3D scene “behind” an image has never seemed so well within reach.

Please note: This seminar will be given online.

Jiliang Tang, Department of Computer Science and Engineering
Michigan State University