I am Yihe (Jordan) Zhang, currently a second-year CS PhD student at the University of Illinois at Chicago. I am luckily advised by Prof. Zhiling Lan and Prof. Michael E. Papka.

Previously, I obtained my Master degree at University of Illinois at Urbana-Champaign and my Bachelor degree at Nanjing Tech University. I also worked with Prof. Xiaodong Yu at Stevens Institute of Technology during 2024 summer.

My research centers on adaptive job scheduling and resource management for high-performance computing (HPC) systems and large-scale LLM inference services, with an emphasis on performance optimization, system efficiency, and real-time decision making.

Please contact me if you are interested in my research, my email is yihe6@uic.edu.

Publications

• A Real-Time Digital Twin for Adaptive Scheduling
  Y. Zhang, Y. Kunkure, Y. Tao, M. E. Papka, and Z. Lan.
  arXiv preprint, 2025.

• Ranking Before Serving: Low-Latency LLM Serving via Pairwise Learning-to-Rank
  Y. Tao, Y. Zhang, M. T. Dearing, X. Wang, Y. Fan, and Z. Lan.
  ISC 26’.

Experience

• Machine Learning Engineer Intern, Amazon Annapurna Labs, Summer 2026.

• Research Aide, Argonne National Laboratory, Summer 2025.

Professional Service

• Reviewer, ACM Computing Surveys, 2026.

Education

• 2025.01 - current, PhD, Computer Science, University of Illinois at Chicago.
• 2023.09 - 2024.12, MEng, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.
• 2019.09 - 2023.06, BEng, Electrical and Information Engineering, Nanjing Tech University.