Scholar
Minjie Wang
Google Scholar ID: OJja8NgAAAAJ
AWS Shanghai AI Lab
Citations & Impact
Citations
5,663
H-index
15
i10-index
20
Publications
20
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'Supporting Very Large Models using Automatic Dataflow Graph Partitioning' (accepted by EuroSys 2019); Co-founder of Apache MXNet project and led the team on dataflow engine; Initiated the MinPy project.
Research Experience
- Worked for two years at Microsoft Research Asia, advised by Zheng Zhang, where he began his journey in the machine learning system area. Involved in significant projects such as Deep Graph Library (DGL), auto-parallelization of deep neural network training system Tofu, etc.
Education
- Ph.D. in Computer Science from NYU in 2020, advised by Professor Jinyang Li; M.S. and B.S. degrees from Shanghai Jiao Tong University, advised by Prof. Minyi Guo.
Background
- Research Interests: The intersection of machine learning and systems, including system design for large-scale machine learning or applying machine learning techniques to system challenges. Brief Introduction: Currently working as an applied scientist at Amazon AI Lab in Shanghai, focusing on building scalable distributed systems for machine learning algorithms, researching new machine learning models for enormous graph data, engaging with real customers with machine learning solutions, and maintaining open source projects and communities.
Miscellany
- Loves contributing to open source projects and is a co-founder of DMLC, a community of brilliant open source hackers.
