I am a 1st year Ph.D. student at the University of Michigan, advised by Prof. Ang Chen. I am interested in efficient and resilient machine learning, systems and exploring their applications.

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

News

• [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!

Publications

• 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

Other Projects

• 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

Teaching

• Research Experiences for Undergraduates (REU) Student Mentor, Summer 2020

• Teaching Assistant, MATH 123: Finite Mathematics, Summer 2019

• Math Tutor, Fall 2018 – Summer 2019

Media Coverage

• [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