About Me

I am a fourth-year PhD student in the Operations Research Department at Carnegie Mellon University. In particular, I am a student in the Algorithms, Combinatorics, and Optimization (ACO) Program. My advisor is Ben Moseley.

Previously, I obtained a MS in Computer Science and BS in Mathematics from Washington University in St. Louis, where I was advised by Brendan Juba.

Here is my CV. My e-mail is: rbz@andrew.cmu.edu.

Research Interests

Currently, my main interest is Optimization under Uncertainty including Online, Stochstic, and with Predictions. I am very interested in developing new techincal tools to understand and leverage Adaptivity in stochastic models. More broadly, I am interested in Approximation Algorithms and Combinatorial Optimization.

Publications

Author order is alphabetical by last name unless otherwise noted by (*).

  • Benjamin Moseley, Kirk Pruhs, Clifford Stein, Rudy Zhou
    A Competitive Algorithm for Throughput Maximization on Identical Machines
    In Submission. (Link)

  • Silvio Lattanzi, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang, Rudy Zhou
    Robust Online Correlation Clustering
    Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS 2021). (Full Version Pdf)

  • Sungjin Im, Benjamin Moseley, Rudy Zhou
    The Matroid Cup Game
    Operations Research Letters, Volume 49, Issue 3, May 2021, Pages 405-411. (Link)

  • Anupam Gupta, Ben Moseley, Rudy Zhou
    Structural Iterative Rounding for Generalized k-Median Problems
    48th International Colloquium on Automata, Languages, and Programming (ICALP 2021). (Link)(Video)

  • Rudy Zhou, Han Liu, Tao Ju, Ram Dixit (*)
    Quantifying the polymerization dynamics of plant cortical microtubules using kymograph analysis
    Methods in Cell Biology, Academic Press, 2020. ISSN 0091-679X. (Link)(Pdf) (GitHub)

  • Sungjin Im, Mahshid Montazer Qaem, Benjamin Moseley, Xiaorui Sun, Rudy Zhou
    Fast Noise Removal for k-Means Clustering
    Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 108:456-466, 2020. (Link)(Full Version Pdf) (Slides)

Teaching

  • Teaching Assistant at Carnegie Mellon University:
    • Graph Theory (Fall 2020, Fall 2021)
  • Teaching Assistant at Washington University in St. Louis:
    • Computational Geometry (Fall 2017)
    • Object-Oriented Software Development Laboratory (Spring 2017)