Focus: indexing, caching, and storage systems for LLM inference and scientific computing.

I am a Ph.D. Candidate in Computer Science at Arizona State University. My current work focuses on tiered KV cache management and data movement across GPU, CPU, and SSD.

My research has appeared at SIGMOD, HPDC, HotStorage, and MSST. LegoIndex received the HPDC 2025 Best Student Paper Award.

I contribute to vLLM, NVIDIA Dynamo, llm-d, and ADIOS2.

Publications

O^3-LSM: Maximizing Disaggregated LSM Write Performance via Three-Layer Offloading
Qi Lin, Gangqi Huang, Te Guo, Chang Guo, Viraj Thakkar, Zichen Zhu, Jianguo Wang, Zhichao Cao
ACM SIGMOD 2026   ·   To Appear
Unlocking the Unusable: A Proactive Caching Framework for Reusing Partial Overlapped Data
Chang Guo, Norbert Podhorszki, Greg Eisenhauer, Zhiwen Xie, Scott Klasky, Zhichao Cao
ACM HotStorage 2025   ·   10 Jul 2025   ·   https://dl.acm.org/doi/10.1145/3736548.3737839
Can ZNS SSDs be Better Storage Devices for Persistent Cache?
Chongzhuo Yang, Zhang Cao, Chang Guo, Ming Zhao, Zhichao Cao
ACM HotStorage 2024   ·   08 Jul 2024   ·   https://doi.org/10.1145/3655038.3665946
SAS-Cache: A Semantic-Aware Secondary Cache for LSM-based Key-Value Stores
Zhang Cao, Chang Guo, Ziyan Lv, Anand Ananthabhotla, Zhichao Cao
MSST 2024   ·   03 Jun 2024
Prophet: Optimizing LSM-Based Key-Value Store on ZNS SSDs with File Lifetime Prediction and Compaction Compensation
Gaoji Liu, Chongzhuo Yang, Qiaolin Yu, Chang Guo, Wen Xia, Zhichao Cao
MSST 2024   ·   03 Jun 2024
CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure
Qiaolin Yu, Chang Guo, Jay Zhuang, Viraj Thakkar, Jianguo Wang, Zhichao Cao
ACM SIGMOD 2024   ·   29 May 2024   ·   https://doi.org/10.1145/3654927