Yuyuan Kang

I am a Ph.D. student at the Department of Computer Sciences, University of Wisconsin-Madison. My research interests lie broadly in the area of Computer Systems and Data Management, including building efficient and scalable systems for data processing and analytics. I am currently working with Prof. Ming Liu.

Before that, I obtained my Master’s Degree in Software Engineering from Tsinghua University, where I was supervised by Prof. Jianmin Wang and worked closely with Prof Shaoxu Song and Xiangdong Huang. I did my undergraduate at Northeastern University (China).

My CV can be found here .

Publications

NSDI’25

Understanding and Profiling NVMe-over-TCP Using ntprof

Yuyuan Kang and Ming Liu

USENIX Symposium on Networked Systems Design and Implementation(NSDI), 2025

Bib PDF

@article{ntprof,
  title = {Understanding and Profiling NVMe-over-TCP Using ntprof},
  author = {Kang, Yuyuan and Liu, Ming},
  journal = {USENIX Symposium on Networked Systems Design and Implementation(NSDI)},
  pages = {},
  year = {2025},
  organization = {},
}

SIGMOD’24

Time Series Representation for Visualization in Apache IoTDB

Lei Rui, Xiangdong Huang, Shaoxu Song, and 3 more authors

ACM Special Interest Group on Management of Data(SIGMOD), 2024

Bib PDF

@article{rui2024vis,
  title = {Time Series Representation for Visualization in Apache IoTDB},
  author = {Rui, Lei and Huang, Xiangdong and Song, Shaoxu and Kang, Yuyuan and Wang, Chen and Wang, Jianmin},
  journal = {ACM Special Interest Group on Management of Data(SIGMOD)},
  pages = {1--26},
  year = {2024},
  organization = {ACM},
}

ICDE’22

Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree

Yuyuan Kang, Xiangdong Huang, Shaoxu Song, and 5 more authors

International Conference on Data Engineering (ICDE), 2022

Bib PDF

@article{kang2022separation,
  title = {Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree},
  author = {Kang, Yuyuan and Huang, Xiangdong and Song, Shaoxu and Zhang, Lingzhe and Qiao, Jialin and Wang, Chen and Wang, Jianmin and Feinauer, Julian},
  journal = {International Conference on Data Engineering (ICDE)},
  pages = {3340--3352},
  year = {2022},
  organization = {IEEE},
}

DASFAA’20

Heterogeneous Replicas for Multi-dimensional Data Management

Jialin Qiao, Yuyuan Kang, Xiangdong Huang, and 4 more authors

International Conference on Database Systems for Advanced Applications (DASFAA), 2020

Bib PDF

@article{qiao2020heterogeneous,
  title = {Heterogeneous Replicas for Multi-dimensional Data Management},
  author = {Qiao, Jialin and Kang, Yuyuan and Huang, Xiangdong and Rui, Lei and Jiang, Tian and Wang, Jianmin and Yu, Philip S},
  journal = {International Conference on Database Systems for Advanced Applications (DASFAA)},
  pages = {20--36},
  year = {2020},
  organization = {Springer},
}

Projects

EFabric

EFabric is an elastic on-premise computing platform for AI4Science experiments. Researchers at UW-Madison can request, deploy, and run experiments on demands with high performance and low cost.

Benchmarking Vector Database

Benchmarking Vector Databases is a visualization platform that presents performance results from vectordbbench across different databases, indexes, and hardware settings. It provides an interactive way to explore QPS, latency, recall, and other metrics from large-scale vector search benchmarks.

ntprof

ntprof is a systematic, informative, and lightweight NVMe-over-TCP profiler. The key idea is to view the NVMe/TCP storage substrate as a lossless switched network and apply network monitoring techniques. It models each on-path system module as a software switch, equips it with a programmable profiling agent on the data plane, and develops a proactive query interface for statistics collection and analysis.

Apache IoTDB

Apache IoTDB is an industrial IoT time-series database management system that adopts a lightweight architecture with edge-cloud collaboration, supporting integrated collection, storage, management, and analysis of IoT time-series data.