Scholar
Jindong Wang
Google Scholar ID: hBZ_tKsAAAAJ
Assistant Professor, William & Mary; Ex Senior Researcher, Microsoft Research
Citations & Impact
Citations
21,509
H-index
52
i10-index
111
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- Published over 60 papers with more than 23000 citations and an H-index of 54; Served as associate editor, guest editor, area chair, or senior program committee member for multiple top-tier conferences; Received awards including Amazon Research Award, Google Research Award, AMD University Program AI & HPC Award, Microsoft Accelerate Foundation Model Research Award, and William & Mary Faculty Research Award; His research has been integrated into Microsoft health products, reducing token consumptions by 15%, and in quant finance, increasing prediction accuracy; Won best paper awards at several conferences and workshops; Published a book titled 'Introduction to Transfer Learning' and gave tutorials at IJCAI'22, WSDM'23, KDD'23, AAAI'24, AAAI'25, and CVPR'25.
Research Experience
- Senior Researcher at Microsoft Research Asia from 2019 to 2024; Currently, Assistant Professor at the Department of Data Science, William & Mary.
Education
- Insufficient information
Background
- Research Interests: Machine learning, large foundation models, and generative AI for social science. Brief: Assistant Professor at the Department of Data Science, William & Mary, and a faculty member of the Future of Life Institute. Previously, he was a Senior Researcher in Microsoft Research Asia from 2019 to 2024.
Miscellany
- Open to industry and university visits, consulting, and further collaboration; Links to a Chinese blog provided; Social media profiles include Google Scholar, DBLP, Github, Twitter/X, LinkedIn, Zhihu, and Bilibili.
