Zhan Jin

I am Zhan Jin, a Ph.D. student in Computer Science at University of Illinois Urbana-Champaign, working with Prof. Francis Y. Yan. Previously, I received my bachelor's degree from Peking University, advised by Prof. Bin Cui and Prof. Xupeng Miao. I was also fortunate to work as a summer intern with Prof. Baris Kasikci at University of Washington SyFI Lab.

Publications

  • Accelerating Cross-Model LLM Inference via Attention Map Reuse
    Zhan Jin, Yuze Luo, Bin Cui, Xupeng Miao.
    SIGMOD, 2027.
  • Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs
    Kan Zhu, Tian Tang, Qinyu Xu, Zhan Jin, Yile Gu, Zhichen Zeng, Rohan Kadekodi, Liangyu Zhao, Ang Li, Arvind Krishnamurthy, Baris Kasikci.
    ICLR, 2026.
    PDF

Preprint

(*Equal contribution)

  • DualTune: Decoupled Fine-tuning for On-Device Agentic Systems
    Rohan Kadekodi*, Zhan Jin*, Keisuke Kamahori, Yile Gu, Sean Khatiri, Noah H. Bayindirli, Sergey Gorbunov, Baris Kasikci.
    ArXiv