My research interests are primary on advancing next-generation memory systems for data centers to support diverse workloads, especially machine learning tasks such as LLM inference and training. Recently, I have been working on memory tiering in CXL.
I am a fan of NBA games, though I'm not good at playing basketball myself. I really enjoy exploring cities around the world. Cities I've visited include Shanghai, Melbourne, Tokyo, and more.
📚 Education
- Courses: Operating Systems (Honors Track) (A), Computer Architecture (A), Parallel and Distributed Computing (A), and Compilers (A+).
- Extended program duration by one year to participate in an exchange program at the University of Melbourne.
🏆 Awards
- 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.
📝 Publications
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. Fine‑Tuned Large Language Model for Visualization System: A Study on Self‑Regulated Learning in Education. IEEE Transactions on Visualization and Computer Graphics.
🏫 Teaching
- 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.