I am Mengdi Wu (吴梦迪), a first year PhD in the Computer Science Department at Carnegie Mellon University, advised by Zhihao Jia. I graduated from Yao Class at Tsinghua University in 2023. I am interested in machine learning systems.
I've learned a lot of exciting knowledege and obtained useful skills from every research experience, especially from my great collaborators.
|2022.02~2022.08||I visited CMU as a research intern, where I worked with Zhihao Jia on accelerating distributed DL training.|
|2020.11~2021.11||I joined ARChip Lab led by Kaisheng Ma at Tsinghua University, and worked on designing architectures and schedulers for DNN accelerators.|
National Student Computer System Capability Challenge 2020 (Compiler track), 2nd Price [Cutepiler]
With Jiatu Li, Runda Liu, and Zhidong Wang.
- National Olympiad in Informatics, China, Gold Medal
- Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
- Accepted by ICML 2022