Yige Hong's Personal Page

Welcome to Yige Hong's Page

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My name is Yige Hong, I'm a sixth-year Ph.D. student at Computer Science Department of Carnegie Mellon University. I'm very fortunate to be advised by Professor Weina Wang . I work on the performance analysis and optimal control of complex stochastic system like multiserver jobs, G/G/k model, stochastic bin-packing, and restless bandits, and weakly-coupled MDPs. A particular emphasis of my work is understanding those systems at a large scale, as motivated by the needs of data centers and other large service systems. I use stochastic analysis tools like Lyapunov functions, coupling, and Stein's method to design scalable control policies with provable guarantees.

Prior to starting my Ph.D., I was an undergrad student at Chinese University of Hong Kong, Shenzhen (CUHKSZ). I graduated from their math major with a Bachelor of Science Degree.

Email: yigeh_at_andrew_dot_cmu_dot_edu

News:

I am on the job-market this year, looking for a tenure-track assistant professor position in industrial engineering, computer science, or electrical engineering. Here are some of my application materials:

I will be attending NeurIPS 2025 in San Diego, CA from Dec 2 to Dec 8. I will present two posters:

I will be attending the 2025 INFORMS annual meeting in Atlanta, GA. My talk is during 1:15 PM - 1:33 PM, Monday, October 27, in Building A Level 4 A408. Please see this link for the detailed information.

Work in progress:

  • Yige Hong (2025). A new 1/(1-rho)-scaling bound for multiserver queues via a leave-one-out technique. arXiv preprint arXiv:2510.11015. [arxiv, slides, poster]

    Publications and preprints:

    Restless bandits

    Queueing theory