My research interests focus on developing next-generation memory systems for data centers to support various workloads. Additionally, I am interested in exploring the inner workings of artificial intelligence models across different scales (e.g., from transformers to autonomous driving systems).
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.
π Education β
[September 2021 - June 2026] Fudan University, Shanghai, China
Bachelor of Science in Computer Science
Expected graduation extended by one year due to a semester of exchange study at the University of Melbourne.[February 2023 - June 2023] The University of Melbourne, Melbourne, Australia
Exchange Program
π Awards β
- National Scholarship (2023-2024)
- HHC Tea Freshman Scholarship (2021)
π Publications β
Interpreting Autonomous Driving Corner Cases: A Visual Analytics Approach Yi Sun, Zekai Shao, Xingyu Qiu, Yun Li, Ting Liu, Linbing Xiang, Dong Sun, Siming Chen (PacificVis 2024)
Dynamic-Scene-Graph-Supported Visual Understanding of Autonomous Driving Scenarios Ting Liu, Dong Sun, Chongke Bi, Yi Sun, Siming Chen (PacificVis 2024)
FineβTuned Large Language Model for Visualization System: A Study on SelfβRegulated Learning in Education Lin Gao, Jing Lu, Zekai Shao, Ziyue Lin, Shengbin Yue, Chokit Ieong, Yi Sun, Zhongyu Wei, Siming Chen (IEEE VIS 2024)
π« Teaching β
- Operating Systems (Honor Track), Teaching Assistant, 24 Fall, Fudan University.
- Operating Systems (Regular Track), Teaching Assistant, 24 Fall, Fudan University.