Scholar
Jie Chen
Google Scholar ID: Z-lkme8AAAAJ
MIT-IBM Watson AI Lab, IBM Research
Citations & Impact
Citations
8,315
H-index
29
i10-index
50
Publications
20
Co-authors
130
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Background
- Research interests are rooted in matrices—fundamental mathematical objects that are tables of numbers and mappings between spaces.
- Work spans numerical analysis, scientific computing, parallel processing, statistics, and machine learning.
- Focuses on linear-complexity computations for large dense kernel matrices, a common structure in large-scale problems.
- Another line of research centers on graph-based machine learning, including foundation models, generative modeling, structure learning, stochastic optimization, and training systems.
- Aims to bridge the gap between theory and practice in deep learning and explores emerging paradigms like quantum computing.
- Currently a Senior Research Scientist and Manager at the MIT-IBM Watson AI Lab, leading industrially relevant research in finance, energy, and materials.
