Ke Wang

Ke Wang is currently a software engineer at Ant Group, Sunnyvale.

Ke reveiced a Master of Science Degree in the computer science department from Yale University in 2022. Before that, he spent one year as a full-time researcher in Shanghai Qi Zhi Institute working on database index on persistent memory under the advise of Prof. Mingyu Gao. He received a Bachelor of Science degree in the Department of Electrical Engineering and Computer Science with a minor in Economics in the National School of Development at Peking University in China in 2020. He conducts researches on sketches under the advice of Prof. Tong Yang. He also conducts researches on Machine Learning for security under the advise of Prof. Xin Jin.

Ke's research interests lie in the fields of high performance computing system and storage system as well as database and machine learning, including efficient memory architectures, sketches, database engine, and application of machine learning.

update June 2023.

Education

Yale University

Master of Science
Computer Science
Sep 2021 - Dec 2022

Peking University

Bachelor of Science
Computer Science
With a minor in Economics
Sep 2016 - July 2020

Experience

Software Engineer, Full time

International BG-Technology Group, Ant group at Sunnyvale
Feb 2023 - Present

Researcher, Full time

High performance system group, Shanghai Qi Zhi Institute at Shanghai
Aug 2020 - Aug 2021

Software Engineer, Intern

Distributed database group, Bytedance at Beijing
June 2020 - Aug 2020

Software Engineer, Intern

Xingfuli, Bytedance at Beijing
March 2019 - July 2019

Publications

  1. Qizhi Chen*, Ke Wang*, Aoran Li, Yuhan Wu, Tong Yang, Bin Cui. Newton sketches: Estimating Node Intimacy in Dynamic Graphs Using Newton’s Law of Cooling. IEEE ICDE 2024.
  2. Ke Wang, Guanqun Yang, Yiwei Li, Huanchen Zhang, Mingyu Gao. When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories. ACM SIGMOD 2023 (Best database conference).
  3. Xiangyang Gou; Yinda Zhang; Zhoujing Hu; Long He; Ke Wang; Xilai Liu; Tong Yang; Yi Wang; Bin Cui. A Sketch Framework for Approximate Data Stream Processing in Sliding Windows. IEEE TKDE 2022.
  4. Zhihao Bai, Ke Wang, Hang Zhu, Yinzhi Cao, Xin Jin. 2021. Runtime Recovery of Web Applications under Zero-day ReDoS Attacks. IEEE Security&Privacy 2021 (Best security conference) .
  5. Xiangyang Gou, Long He, Yinda Zhang, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, and Bin Cui. 2020. Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows. SIGKDD 2020 (Best data mining conference).

Interests

Apart from being a programmer, Ke enjoys most of his time being outdoors. In the winter, he is an avid snowboarder. During the warmer months, he enjoys playing basketball. He always has a passion for travelling especially with his friends.

When indoors, Ke has a passion for billiard and singing.

Contact

    Address:
        Ke Wang
        525 Almanor Ave
        Sunnyvale, CA, 94085


    Email:
        wangke971111@gmail.com