About Me

I am a fifth-year CS Ph.D. student at Virginia Tech, advised by Ali R. Butt and Kirshanthan Sundararajah. I received my B.E. in Software Engineering from Northeastern University (China) in 2020.

My research focuses on improving memory efficiency in cloud (both in capacity and performance) across the stack, with the following three core aspects:

  • Memory tiering in PL virtual machine to exploit object-level semantics to drive fine-grained tiering decisions beyond page-granularity OS tiering.
  • Achieving true memory sharing in cloud by decoupling cache-line sharing from memory page sharing, to eliminate Flush+Reload exposure.
  • Improving memory-level parallelism on modern architecture by opportunistically eliminating code branches.
Education
  • Virginia Tech — Ph.D. in Computer Science, 08/2021 – present
  • Northeastern University (China) — B.E. in Software Engineering, 08/2016 – 06/2020
  • Boston University — Exchange Program in Computer Science, 09/2018 – 12/2018
Publications
  • Staged Analysis for Branch Elimination in IR
    Under Review, OOPSLA '26
    Yuze Li, Charitha Saumya, Dimitrios Nikolopoulos, Ali R. Butt, Kirshanthan Sundararajah
  • Eliminate Branches by Melding IR Instructions
    ECOOP '26
    Yuze Li*, Srinivasan Ramachandra Sharma*, Charitha Saumya, Ali R. Butt, Kirshanthan Sundararajah (*equal contribution)
  • Memory Tiering in Python Virtual Machine
    VMIL '25
    Yuze Li, Shunyu Yao, Jaiaid Mobin, Tianyu Zhan, M. Mustafa Rafique, Dimitrios Nikolopoulos, Kirshanthan Sundararajah, Ali R. Butt
  • ImpROV: Measurement and Practical Mitigation of Collateral Damage of RPKI Route Origin Validation
    USENIX Security '25
    Weitong Li, Yuze Li, Taejoong Chung
  • Towards Cost-effective and Resource-aware Aggregation at Edge for Federated Learning
    IEEE BigData '23
    Ahmad Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Butt, Ali Anwar
  • Towards Persistent Memory based Stateful Serverless Computing for Big Data Applications
    2022
    Yuze Li, Kevin Assogba, Abhijit Tripathy, Moiz Arif, M. Mustafa Rafique, Ali R. Butt, Dimitrios Nikolopoulos
  • Maven Loss with AGW-Net for Biomedical Image Segmentation
    ICCAI '20
    Yuze Li, Kaijun Wang, Hehui Gu
Poster
  • Towards Efficient Python Interpreter for Tiered Memory Systems
    FAST '24
    Yuze Li, Shunyu Yao, Jaiaid Mobin, M. Mustafa Rafique, Dimitrios Nikolopoulos, Kirshanthan Sundararajah, Huaicheng Li, Ali R. Butt
Professional Experience
  • Artifact Evaluation & External Review — FAST '25, '26, CGO '25, '26, PPoPP '25, HPDC '24
  • Software R&D Intern — OS Kernel Lab, Huawei Co., Ltd — 06/2024 – 08/2024
  • Teaching Assistant — CS3214 Computer Systems, Virginia Tech — 08/2021 – 12/2023
  • Software Testing Intern — Qianxun SI Co., Ltd — 03/2021 – 07/2021
Awards
  • Student Travel Grant — OSDI '25, FAST '22, '23, '24
  • University Pratt Fellowship — 01/2023
Miscellaneous

Outside of academics, I enjoy running half marathons . I have completed several runs in Blacksburg and D.C. I am also passionate about badminton , competing against skilled players.