Yiguang Zhang

Ph.D. Student
Dept. of Computer Science
Columbia University
 yz3423 [at] columbia [dot] edu

I am a Ph.D. student under the supervision of Prof. Augustin Chaintreau in Computer Science at Columbia University. Prior to Columbia, I received my M.S. degree in Statistics at Stanford University.

I obtained my B.S degree at the the Johns Hopkins University, where I worked with Prof. Edward Scheinerman on discrete mathematics, and I triple-majored in Applied Mathematics and Statistics, Computer Science, and Mathematics.

Publications

Unequal Opportunities in Multi-hop Referral Programs
Yiguang Zhang and Augustin Chaintreau
in submission.
Chasm in Hegemony: Explaining and Reproducing Disparities in Homophilous Networks SIGMETRICS'21
Yiguang Zhang, Jessy Xinyi Han, Ilica Mahajan, Priyanjana Bengani, and Augustin Chaintreau
Proceedings of the ACM on Measurement and Analysis of Computing Systems 5.2 (2021).
The Total Acquisition Number of the Randomly Weighted Path
Anant Godbole*, Elizabeth Kelley*, Emily Kurtz*, Pawel Pralat*, and Yiguang Zhang* (*ordered alphabetically)
Discussiones Mathematicae - Graph Theory, Volume 37, Issue 4 (2017).
Best and Worst Case Permutations for Random Online Domination of the Path
Christopher Coscia*, Jonathan DeWitt*, Fan Yang*, and Yiguang Zhang* (*ordered alphabetically)
Discrete Mathematics & Theoretical Computer Science 19 (2017).
The Number of Seymour Vertices in Random Tournaments and Digraphs
Zachary Cohn*, Anant Godbole*, Elizabeth Wright Harkness*, and Yiguang Zhang* (*ordered alphabetically)
Graphs and Combinatorics, 32:1805–1816 (2016) .
Preferential Arrangement Superpatterns
Yonah Biers-Ariel*, Anant Godbole*, and Yiguang Zhang* (*ordered alphabetically)
Electronic Notes in Discrete Mathematics, Volume 54: 9–14 (2016).
Random Threshold Digraphs
Elizabeth Reilly* and Edward Scheinerman*, and Yiguang Zhang* (*ordered alphabetically)
The Electronic Journal of Combinatorics, Volume 21, Issue 2 (2014).
Teaching

COLUMBIA COMS W4995: Introduction to Networks and Crowds Spring'21 Fall'18
Instructional Assistant: design data challenges, hold office hours, and grade assignments.

STANFORD STATS 116: Theory of Probability Spring’18
Teaching Assistant: teach sections, hold office hours, and grade assignments.

STANFORD STATS 191: Introduction to Applied Statistics Winter’17
Teaching Assistant: hold office hours and grade assignments.

STANFORD STATS 202: Data Mining and Analysis Fall’17 Summer’17
Teaching Assistant: hold office hours and grade assignments.

STANFORD STATS 200: Introduction to Statistical Inference Fall’16
Teaching Assistant: hold office hours and grade assignments.