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
[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!
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
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