Yichuan Wang
Bio 
I am a first-year PhD student at UC Berkeley in SkyLab and received my B.E. in Computer Science and Technology from ACM Honored Class, Shanghai Jiao Tong University(SJTU). I am interested in machine learning systems and high-performance computing systems particularly in distributed systems for large ML model training/serving and developing tailored abstractions for unique ML computational patterns to enhance performance. To be more specific, currently, I am more interested in LLM serving/scheduling, multi-agent systems, and GraphRAG. If you share similar interests, I'd love to chat.
Previously, I collaborated with Prof.Jinyang Li in NYU and Dr.Minjie Wang on a project related to scaling up GNN training. In SJTU, I am supervised by Prof. Quan Chen at EPCC. I like to communicate with different people, so you can feel free to contact me via email wechat:15858459091 or yichuanwang0324 or twitter If you are willing to know more details, you can see my CV here. If you are interested in my motivation, you can also look at my SoP for application.
In my spare time, I also contribute to open-source projects, like SGLang recently.
Work Email: yichuan_wang@berkeley.edu
Personal Email: yichuanmistygrass@gmail.com
News
[08/29/2024] After being rejected once, DiskGNN has finally been accepted by SIGMOD25. See you in Berlin! 
[08/13/2024] Starting my PhD journey at SkyLab—excited. 
[05/08/2024] We put DiskGNN on Arxiv If you want to train a super-large-scale GNN while balancing speed and accuracy, you should try it! We will integrate it into DGL asap. 
Education
UC Berkeley 
Starting from Sept. 2024
PhD in EECS
Shanghai Jiao Tong University
Sept. 2020 -- June 2024
B.Eng. in Computer Science at ACM Honors Class, advised by Prof. Quan Chen, Prof. Yong Yu
New York University Courant Institute
July. 2023 -- Dec. 2023
Research assistant, advised by Prof. Jinyang Li
Publications
Optimizing Dynamic Neural Networks with Brainstorm pdf
Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo.
Accepted by OSDI 2023
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training pdf
Renjie Liu*, Yichuan Wang*, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li
*indicates equal contribution
Accepted by SIGMOD 2025
Services
- [08/2024] Eurosys'25 Artifact Evaluation Committee
- [07/2024] SIGCOMM'24 Artifact Evaluation Committee
- [04/2024] OSDI’24 Artifact Evaluation Committee
- [04/2024] USENIX ATC’24 Artifact Evaluation Committee
Misc/Hobbies
I like playing basketball! (But unfortunately, it seems that there aren't any good basketball courts near Berkeley.) So now, I might (or rather, I can only) play more badminton(I still enjoy). Besides that, I've been an NBA fan for 15 years, and I like Chris Paul! In recent years, I've also become very interested in the Premier League(I love Manchester City, come on Blue Moon!). If you share the same interests, we should chat/hang out!
Selected Projects
A system that can build its own scene and track the refraction and reflection of light in it. Several compilation-related optimizations were undertaken to enhance the overall performance.
Using the technology of ANTLR, semantic checking, code generation, and optimization to develop a compiler that compiles C-and-Java-like language to RV32I Assembly from scratch.
RISC-V CPU Implemented in Verilog RTL
Designed a RISC-V CPU with Write Buffer, ICache, DCache, and Branch Prediction. Supports RV32I instruction set (2.1-2.6 in RISC-V User Manual). Used Vivado to generate bitstream and program the Basys3 FPGA board.
Designed a train ticket system with multi-user support and privilege management. I implemented the backend and built a Bplustree storage. All used C++ STL data structures are from scratch (including map, and queue).