About Me
I am a tenure-track assistant professor in the Department of Electrical and Computer Engineering at Boston University. My research interests focus on building reliable and fast systems. I am particularly interested in developing principled techniques to enhance system performance, spanning from machine learning systems to cloud computing platforms.
I’m currently looking for self-motivated students (undergraduate, master’s, and PhD) and interns who are passionate about building systems. If you’re interested, please explore our graduate programs at BU ECE and feel free to email me with your CV!
News
- [07/2025] Atropos(Overload control with targeted task cancellation) is accepted by SOSP 2025.
- [07/2025] After two wonderful years in Seattle, I will join Boston University this summer.
- [02/2025] I will serve in the ASPLOS’26 program committees
- [11/2023] My proposal on diagnosing intra-application performance interference is awarded Azure Cloud Credits.
- [07/2023] pBox, our work on pushing performance isolation boundaries into application, is accepted to appear at SOSP 2023.
- [06/2023] I passed my Ph.D. defense and will join University of Washington as a postdoc.
- [01/2023] vProf(value-assited cost profiling) is accepted to appear at EuroSys 2023
- [12/2020] Gongqi Huang, an undergraduate student mentored by me, received the honorable mention CRA Outstanding Undergraduate Researcher Award!
- [08/2020] Our Violet (detecting specious configuration with symbolic execution) is accepted to appear at OSDI 2020.
- [04/2019] LeaseOS won the best paper award at ASPLOS’19!
- [11/2018] Our paper LeaseOS, a lease-based resource management mechanism, is accepted to appear at ASPLOS 2019.
Publications
Mitigating Application Resource Overload with Targeted Task Cancellation
Yigong Hu, Zeyin Zhang, Yicheng Liu, Yile Gu, Shuangyu Lei, Baris Kasikci, Peng Huang
SOSP 2025
Pushing Performance Isolation Boundaries into Application with pBox
Yigong Hu, Gongqi Huang, Peng Huang
SOSP 2023 [ talk slides software]
Effective Performance Issue Diagnosis with Value-Assisted Cost Profiling
Lingmei Weng, Yigong Hu, Peng Huang, Jason Nieh, Junfeng Yang
Eurosys 2023 [ slides ]
Automated Reasoning and Detection of Specious Configuration in Large Systems with Symbolic Execution
Yigong Hu, Gongqi Huang, Peng Huang
OSDI 2020 [ talk slides software]
Scaling Performance Issue Detection and Diagnosis in Cloud Infrastructures
Yigong Hu, Ze Li, Peng Huang, Suhas Pinnamaneni, Francis David, Yingnong Dang
AAAI workshop on cloud intelligence 2020
A Case for Lease-Based, Utilitarian Resource Management on Mobile Devices [Best Paper Award]
Yigong Hu, Suyi Liu, Peng Huang
ASPLOS 2019 [ talk slides software]
Teaching
- EC 440: Introduction to Operating Systems
- TA
- CS 624: Reliable Software Systems: Spring 2021
- CS 318/418/618: Principles of Operating Systems: Fall 2019
Service
- Program Committee
- 2026: ASPLOS
- Misc.
- Artifact Evaluation Committee Member for EuroSys’23
- External Reviewer for NSDI’21, OSDI’20, SOSP’19, HotOS’19, SOSP’17
Bio
I received my Ph.D. from Johns Hopkins University, advised by Prof. Ryan (Peng) Huang. Following that, I worked with Prof. Baris Kasikci at the University of Washington for two wonderful years. I obtained my B.E. degree in Computer Science from Huazhong University of Science & Technology (HUST). While at HUST, I was fortunate to work with Prof. Hai Jin and Prof. Deqing Zou in the Cluster and Grid Computing Lab, as well as with Prof. Shan Lu at the University of Chicago.
- My favorite proverb is “The scholar may not be without breadth of mind and vigorous endurance.” from The Analects of Confucius.
- If I don’t do research, I would spend my time in reading history book, caring for my goldfish, playing games and most importantly, spend time with my wife and kid.