About Me [CV]

I started my Ph.D. at UIUC in 2023. I am honored to be advised by Prof. Ram Alagappan and Prof. Aishwarya Ganesan at the DASSL Lab. My broad area of interest is operating systems, distributed systems, and storage systems. These days I am looking into disaggregated memory and shared logs.

Before joining UIUC as a Ph.D., I finished my undergraduate also at UIUC working with Prof. Indranil Gupta, and master’s degree at CMU with Prof. Rashmi Vinayak.

Publications

* = equal contribution

Disk-Based LSMs: An Unexpectedly Good Index for Partly Coherent CXL Memory

SOSP '26 | 32th Symposium on Operating Systems Principles, 2026

Kiran Hombal, Jiyu Hu, Marcos K. Aguilera, Ramnatthan Alagappan, Aishwarya Ganesan

(To Appear)

MEGALON: Efficient Data Sharing for Partly Coherent CXL Memory

OSDI '26 | 20th USENIX Symposium on Operating Systems Design and Implementation, 2026

Jiyu Hu, Seokjoo Cho*, Landon Johnson*, Kiran Hombal, Shreesha G. Bhat, Marcos K. Aguilera, Ramnatthan Alagappan, Aishwarya Ganesan

Jay Lepreau Best Paper Nominee

[slides] [code]

Best Paper Award

Rethinking Erasure-Coding Libraries in the Age of Optimized Machine Learning

HotStorage '24 | 16th ACM Workshop on Hot Topics in Storage and File System, 2024

Jiyu Hu, Jack Kosaian, K. V. Rashmi

Medley: A Membership Service for IoT Networks

TNSM | IEEE Transactions on Network and Service Management, 2022

Rui Yang, Jiangran Wang, Jiyu Hu, Shichu Zhu, Yifei Li, Indranil Gupta

Talks

Intro to CXL: Data Sharing on Partly Coherent CXL Memory

July 30, 2026

Bytedance, Bellevue, Washington

Data Sharing on Partly Coherent CXL Memory

July 09, 2026

Gray Systems Lab, Microsoft, Redmond, Washington

Rethinking Erasure Coding Libraries in the Age of Optimized Machine Learning

November 09, 2022

CMU PDL Retreat, Pittsburgh, Pennsylvania

PDL Retreat’22 for details

Jiyu Hu