My name is Yi Sun (εδΈ), and I am a senior undergraduate at Fudan University. My research interests span Machine Learning Systems and Operating Systems, with a particular focus on full-stack support for emerging workloads (e.g., LLM inference) and interconnect technologies (e.g., CXL, RDMA).
Recently, my work has centered on inference engine support for test-time scaling algorithms and efficient memory tiering solutions for CXL. Beyond systems-level support, I am also interested in efficient model architectures and their impact on performance (e.g., long-context capabilities).
You can find my CV here.
INFO
I am applying for PhD programs (Fall 2026), with interests including (but not limited to) Operating Systems, Memory Disaggregation, LLM Infrastructure. If you'd like to discuss further, feel free to reach out via email.
π Education β
- Courses: Operating Systems (Honors Track, A), Computer Organization and Architecture (A), Parallel and Distributed Computing (A), and Compilers (Honors Track, A+).
- Extended program duration by one year to participate in an exchange program at the University of Melbourne.
π Awards β
- The highest-level scholarship granted to students in Chinese tertiary education institutions, with a selection rate of ~ 0.4% nationwide.
- Honored as the Outstanding Scholarship Awardee of Fudan University, awarded to one student per department yearly.
π Publications β
Yi Sun, Zekai Shao, Xingyu Qiu, Yun Li, Ting Liu, Linbing Xiang, Dong Sun, Siming Chen. Interpreting Autonomous Driving Corner Cases: A Visual Analytics Approach. 2024 IEEE 17th Pacific Visualization Conference (PacificVis'24).
Ting Liu, Dong Sun, Chongke Bi, Yi Sun, Siming Chen. Dynamic-Scene-Graph-Supported Visual Understanding of Autonomous Driving Scenarios. 2024 IEEE 17th Pacific Visualization Conference (PacificVis'24).
Lin Gao, Jing Lu, Zekai Shao, Ziyue Lin, Shengbin Yue, Chokit Ieong, Yi Sun, Zhongyu Wei, Siming Chen. FineβTuned Large Language Model for Visualization System: A Study on SelfβRegulated Learning in Education. IEEE Transactions on Visualization and Computer Graphics.
π« Teaching β
- Migrated the lab platform from Raspberry Pi to the virt generic virtual platform by rewriting the hardware abstraction layer to simplify the environment for students. Developed new lab exercises focused on condition variables and asynchronous I/O.
- Developed labs focusing on Linux features, including mmap, userfaultfd, io_uring and more.