I am a 1st year Ph.D. student at the University of Michigan, advised by Prof. Ang Chen. I am exploring AI agents and their applications, specializing in AI-driven solutions for cloud management.
Previously, I completed my M.S. in CSE at the same institution, where I worked with Prof. Mosharaf Chowdhury on DNN training. and with Prof. Xianglei Huang applying ML techniques to atmospheric research (PREFIRE, NASA).
Email / CV / Google Scholar / GitHub / LinkedIn / Twitter
[12-09-2024] TerraFault Accepted to AIOps’25!
[06-04-2024] 'PREFIRE and Ice’ Launch – the second of two launches for NASA's PREFIRE mission! YouTube
[05-25-2024] 'Ready, Aim, PREFIRE’ Launch – the first of two launches for NASA's PREFIRE mission! YouTube
[05-17-2024] Two PREFIRE CubeSats are scheduled for launch in May 2024.
[05-04-2024] Graduated from the University of Michigan with a M.S. in Computer Science!
[07-14-2023] Oobleck Accepted to SOSP’23!
[07-12-2023] SmarCyPad Accepted to IMWUT’23!
[04-03-2023] One paper Accepted to IGARSS’23!
[03-04-2023] Chase Accepted to ICLR’23 workshop!
[11-10-2022] Carbon-Aware Zeus Wins Second Place at CarbonHack’22.
[05-21-2022] Graduated from the University of Tennessee!
Automated Bug Discovery in Cloud Infrastructure-as-Code Updates with LLM Agents
Yiming Xiang*, Zhenning Yang*, Jingjia Peng, Hermann Bauer, Patrick Tser Jern Kon, Yiming Qiu, Ang Chen
AIOps 2025 / To Appear
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates
Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury
SOSP 2023 / Paper / Code
SmarCyPad: A Smart Seat Pad for Cycling Fitness Tracking Leveraging Low-cost Conductive Fabric Sensors
Yi Wu, Luis González Villalobos, Zhenning Yang, Gregory Thomas Croisdale, Çağdaş KARATAŞ, Jian Liu
IMWUT 2023 / Paper / Video
A Fast Neural Network-Based Approach for Joint Mid-IR and Far-IR Surface Spectral Emissivity Retrieval
Zhenning Yang, Xiuhong Chen, Xianglei Huang, Tristan L’Ecuyer, Brian Drouin
IGARSS 2023 / Paper / Poster
Chasing Low-carbon Electricity for Practical and Sustainable DNN Training
Zhenning Yang, Luoxi Meng, Jae-Won Chung, Mosharaf Chowdhury
ICLR Workshop: Tackling Climate Change with Machine Learning, 2023
Paper / Code / Poster / Video
Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents
Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, Yiming Qiu, Zhenning Yang, Yibo Huang, Jayanth Srinivasa, Myungjin Lee, Mosharaf Chowdhury, Ang Chen
arXiv 2025 / Paper
Disaggregating Embedding Recommendation Systems with FlexEMR
Yibo Huang, Zhenning Yang, Jiarong Xing, Yi Dai, Yiming Qiu, Dingming Wu, Fan Lai, Ang Chen
arXiv 2024 / Paper
Aether: Efficient Serving of Large-scale Vector Search with Sharded Indexes
Zhenning Yang, Jeremy Flics, Jiaheng Lu
In 2024 / Paper / Code / Poster
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition Images
Sara Mousavi, Zhenning Yang, Kelley Cross, Dawnie Steadman, Audris Mockus
arXiv 2022 / Paper / Code
Pseudo Pixel-level Labeling for Images with Evolving Content
Sara Mousavi, Zhenning Yang, Kelley Cross, Dawnie Steadman, Audris Mockus
arXiv 2021 / Paper
Research Experiences for Undergraduates (REU) Student Mentor, Summer 2020
Teaching Assistant, MATH 123: Finite Mathematics, Summer 2019
Math Tutor, Fall 2018 – Summer 2019
[2023] UM-CSE News: Open-source training framework increases the speed of large language model pre-training when failures arise
[2023] UM-CSE News: CSE researchers present new findings at OOPSLA and SOSP
[2022] UM-CSE News: Researchers cut down on AI’s carbon footprint with new optimization framework
[2022] TechTarget: Microsoft offers developer guidance on green software tools
[2022] UM News: Optimization could cut the carbon footprint of AI training by up to 75%
[2022] The Michigan Daily: Researchers at UMich find a way to reduce the energy consumed by AI
[2022] Linkedin: Linkedin post from Benoît de Chateauvieux