About Me

I am a PhD student in Computer Science at the University of Southern California (USC), where I started in August 2026. I received my master’s and bachelor’s degrees in Computer Science and Technology from the University of Science and Technology of China (USTC). During my master’s studies, I was advised by Prof. Pan Peng. I am also grateful for the guidance of Prof. Christian Sohler and Prof. Lili Qiu.

My research spans algorithms and theoretical computer science, including sublinear algorithms, and AI agent evaluation, with a focus on long-term memory and tool use. I enjoy both proof-based research and hands-on experimentation. My previous work also includes satellite network optimization and high-performance computing.

You can find my CV here.

On a more personal note, I enjoy birdwatching and writing poems.

Publications

Click a title for an overview of the work.

Conference Papers

Sublinear Algorithms for Estimating Single-Linkage Clustering Costs

ESA 2026

Overview (1 min) | Paper | Slides
Authors: Pan Peng, Christian Sohler, Yi Xu (alphabetical order)

We proposed new cost functions about SLC, which reflects properties of datasets, and estimated our costs in sublinear time. We studied this problem in both distance and similarity measurements, and conducted extensive experiments to validate our results. We also proved the lower bounds, and our algorithms nearly match them.

Manuscripts

Replica Server Placement in a Satellite Network

Overview (1 min) | Paper | Slides
Authors: Zhiyuan He, Yi Xu, Cheng Luo, Lili Qiu, Yuqing Yang

Satellites can be applied as content replica servers to improve client experience in the remote locations. We optimized the placement of servers in satellite networks to reduce transmission and storage costs while considering satellite movement.

Projects

Click a title for project details.

RoboGame2020 Competition

Overview (1 min) | Participant. Jun 2020 ~ Oct 2020

Project image

Collaborated in designing and programming a robot with STM32 embedded systems for moving simulated patients to designated beds; programmed and controlled the robotic arm for task execution. Achieved Fourth Place in the second round of the competition.

Talks

  • Sublinear Algorithms for Estimating Single-Linkage Clustering Costs
    Women in Theory 2025 Rump Session at UC-Berkeley, Jun 2025. Slides.
    Student Theory Day 2025 at USTC, Mar 2025. Slides.
  • Experiences from an Award-Winning Team in the ASC Supercomputing Competition ASC24 Supercomputing Competition Startup at Beijing, Jan 2024. Slides.

Teaching Assistant

  • Algorithms for Big Data. Spring 2025. Syllabus.
  • Design and Analysis of Algorithms. Fall 2024. Syllabus.

Academic Experience

  • iFLYTEK, COG Team, Core R&D Platform — Algorithm Research Intern
    Hefei, China · Dec 2025 – Jul 2026. Worked on a multi-user benchmark for long-term memory and decision-making in vehicle agents. Contributed to an LLM-based pipeline that generates instruction–response pairs and filters them with programmatic validators for instruction-following training.
  • Microsoft Research Asia, Wireless Group — Research Intern
    Shanghai, China · Aug 2022 – Mar 2023. Investigated adaptive bitrate selection and replica server placement in satellite networks; implemented signal processing on USRP and analyzed wireless sensing data in Python.
  • Women in Theory Workshop, Simons Institute, UC Berkeley — Participant
    Jun 2025. Presented our work on sublinear algorithms for estimating single-linkage clustering costs in the student rump session.
  • TCS Workshop, Nanjing University — Participant
    Jul 2023 and Jul 2024.

Awards and Scholarships

  • First-Class Academic Scholarship, USTC (2023, 2024).
  • Silver Prize, ASC22-23 International Supercomputing Competition (2023).
  • Outstanding Graduate, USTC, Undergraduate (2023).
  • Star of Tomorrow, Microsoft Research Asia (2022).
  • Silver Award, Outstanding Student Scholarship, USTC (2019, 2020).