Xupeng Miao is currently a Post Doctoral Fellow working with Prof. Zhihao Jia in Catalyst Group at Computer Science Department of Carnegie Mellon University. He is broadly interested in machine learning systems, data management and distributed computing. He is the creator of Hetu, an highly efficient distributed deep learning system, and continuously leading the team development, welcome to join us!
Before that, he received his Ph.D. degree in computer science from Peking University in June 2022, supervised by Prof. Bin Cui. He was a research intern in System Research Group of Microsoft Research Asia (MSRA), supervised by Dr. Jilong Xue. Besides, he has accumulated for more than 5 years industrial internship experience at the Machine Learning & Data Platform Department of Tencent.
|Sep 3, 2022||I was awared WAIC 2022 Yunfan Award · Rising Stars!|
|Aug 24, 2022||We won the Best Scalable Data Science Paper Award of VLDB 2022!|
|Aug 1, 2022||I joined CMU to work with Prof. Zhihao Jia as a Post Doctoral Fellow.|
|Jun 2, 2022||We provided a presentation on BAAI Conference 2022 to introduce Hetu.|
- SCISHetu: A highly efficient automatic parallel distributed deep learning systemSci. China Inf. Sci. 2022
- VLDBHET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework (Best Scalable Data Science Paper)Proc. VLDB Endow. 2022
- SIGMODHET-GMP: A Graph-based System Approach to Scaling Large Embedding Model TrainingIn Proceedings of SIGMOD Conference 2022
- SIGMODHeterogeneity-Aware Distributed Machine Learning Training via Partial ReduceIn Proceedings of SIGMOD Conference 2021