My research interests focus on developing next-generation memory systems for data centers to support various workloads (e.g., ML training, LLM serving, scientific computing, etc.). Additionally, I am interested in explaining artificial intelligence models at different levels (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 traveling and exploring cities around the world. Cities I've visited include Shanghai, Melbourne, Tokyo, and more.
📚 Education
- 2021.9 - Present Fudan University, Shanghai, China, B.S. in Computer Science
- 2023.2 - 2023.6 The University of Melbourne, Melbourne, Australia, Exchange Student
📝 Publications
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)
Fine‑Tuned Large Language Model for Visualization System: A Study on Self‑Regulated Learning in Education Lin Gao, Jing Lu, Zekai Shao, Ziyue Lin, Shengbin Yue, Chokit Ieong, Yi Sun, Zhongyu Wei, Siming Chen (IEEE VIS 2024)
🏫 Teaching
- Operating Systems (Honor Track), Teaching Assistant, 24 Fall, Fudan University