Publications

Recent Publications

• Automatic and Efficient Customization of Neural Networks for ML Applications
  Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire
  OSDI 2024
• Fast Context Loading for Language Model Applications paper
  Yuhan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang
  SIGCOMM 2024
• GRACE: Loss-Resilient Real-Time Video through Neural Codecs
  Yihua Cheng, Ziyi Zhang, Hanchen Li, Anton Arapin, Yue Zhang, Qizheng Zhang, Yuhan Liu, Kuntai Du, Xu Zhang, Francis Y. Yan, Amrita Mazumdar, Nick Feamster, Junchen Jiang
  NSDI 2024
• Keeper: Automated Testing and Fixing of Machine Learning Software
  Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Henry Hoffmann, Michael Maire, Shan Lu
  TOSEM 2024
• OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation
  Kuntai Du, Yuhan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang
  SoCC 2023
• Run-Time Prevention of Software Integration Failures of Machine Learning APIs
  Chengcheng Wan, Yuhan Liu, Kuntai Du, Henry Hoffmann, Junchen Jiang, Michael Maire, Shan Lu
  OOPSLA 2023

Earlier works

• Performance and limitations of deep learning semantic segmentation of multiple defects in transmission electron micrographs
  Ryan Jacobs, Mingren Shen, Yuhan Liu*, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob RC Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G Field, Dane Morgan
  Cell Reports Physical Science 2022
• Multi defect detection and analysis of electron microscopy images with deep learning
  Mingren Shen, Guanzhao Li, Dongxia Wu, Yuhan Liu, Jacob RC Greaves, Wei Hao, Nathaniel J Krakauer, Leah Krudy, Jacob Perez, Varun Sreenivasan, Bryan Sanchez, Oigimer Torres-Velázquez, Wei Li, Kevin G Field, Dane Morgan
  Computational Materials Science 2021

Preprints

• Chatterbox: Robust Transport for LLM Token Streaming under Unstable Network paper
  Hanchen Li, Yuhan Liu, Yihua Cheng, Siddhant Ray, Kuntai Du, Junchen Jiang
• AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning paper
  Yuhan Liu, Saurabh Agarwal and Shivaram Venkataraman
• Accelerating deep learning inference via learned caches paper
  Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella