My name is Yi Sun (εδΈ), and I am a senior undergraduate student at Fudan University. My research interests span Machine Learning Systems and Operating Systems, with a particular focus on optimizing data-intensive workloads (e.g., LLM serving, in-memory database, etc.) across the full system stack (e.g., scheduling, runtimes, kernels, compilers, accelerators, and interconnects). I am also interested in emerging learning methods, including test-time scaling, agentic systems, reinforcement learning, diffusion language models, and speculative decoding.
I am currently an intern at NVIDIA, working on the Scaffolding framework, which aims to provide powerful abstractions over TensorRT-LLM for emerging agentic and test-time scaling methods. I also work closely with Prof. Huaicheng Li on memory tiering in the context of Compute Express Link (CXL).
INFO
I am seeking PhD opportunities for Fall 2026 as well as full-time job opportunities. If you would like to discuss further, please feel free to contact me 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.
Other awards include Outstanding Student Scholarship (Second Class), Outstanding Student of Fudan University, Outstanding Award of Tengfei Research and Innovation Project, HHC Freshman Scholarship, etc.
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.
- Author and PIC of Teac, an LLVM-compatible compiler implemented from scratch in Rust.