Mt Rainier, 08/2024 by Yicheng Liu.

Yongtong Wu | 吴永彤

Undergraduate Student @Peking University

wuyongtong@stu.pku.edu.cn

🫡 Hi everyone!

I am currently a fourth-year undergraduate student of Turing Class, Peking University (PKU). I am fortunate to be advised by Prof. Xin Jin on Serverless computing (tentatively). Previously, I was mentored by Prof. Qun Huang on RDMA middleware development.

Feel free to drop me an email anytime 🤩. Also looking for industrial internship opportunities!

News

Experiences

FOCI Center / Syslab, University of Washington

FOCI Center / Syslab, University of Washington
2024/06-Present @Seattle
Research Intern

Ubiquant Investment Corp, Ltd.

Ubiquant Investment Corp, Ltd.
2023/07-2023/09 @Beijing
SDE Intern

I am fortunate to work alongside many senior SDEs. We worked hard to build a high-performance RDMA library and a distributed in-memory cache for machine learning, which are deployed on hundreds of high-end GPU machines with eight GPUs each. I learned a lot from the industrial experience.

Microsoft Research Asia

Microsoft Research Asia
2023/04-2023/07 @Beijing
Research Intern

School of EECS, Peking University

School of EECS, Peking University
2021/09-2025/06 (expected) @Beijing
Bachelor of Science, Turing Class

Major in Informatics and Computing Science.

Sun Yat-sen Memorial Secondary School

Sun Yat-sen Memorial Secondary School
2018/09-2021/06 @Zhongshan, Guangdong
High School Student

During high school, I focused extensively on Olympiads in Informatics (OI), which brings me a very good understanding in algorithms and data structures. I won a silver medal in Chinese National Olympics in Informatics Competition (NOI 2020), and several ICPC regions and semi-final gold medals during my bachelor time.

Teaching

Publications

  1. High-level Programming for Application Networks

    Xiangfeng Zhu, Yuyao Wang, Banruo Liu, Yongtong Wu, Nikola Bojanic, Jingrong Chen, Gilbert Bernstein, Arvind Krishnamurthy, Sam Kumar, Ratul Mahajan, Danyang Zhuo

    NSDI 2025, accept rate: 55/401=13.7%
  2. RB^2: Narrow the Gap between RDMA Abstraction and Performance via a Middle Layer

    Haifeng Sun, Yixuan Tan, Yongtong Wu, Jiaqi Zhu, Qun Huang, Xin Yao, Gong Zhang

    INFOCOM 2024, accept rate: ~20%

    [PDF]