Scholar
Shuai Zhang
Google Scholar ID: PPjdxlcAAAAJ
Sr. Applied Scientist @ AWS
Citations & Impact
Citations
6,866
H-index
30
i10-index
40
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Served as an Area Chair for ACL Rolling Review, as a reviewer, guest editor, or senior program committee member for several leading AI/ML conferences and journals, and as an organizer for workshops at top-tier AI conferences. Received the Area Chair’s Award at ACL 2024, Best of the Best conference Paper Award at GMC 2023, Outstanding Paper Award at ICLR 2021, and Best Paper Award runner-up at WSDM 2020.
Research Experience
- Before joining Amazon, was a postdoctoral researcher in the Department of Computer Science at ETH Zurich, under the guidance of Prof. Ce Zhang. At Amazon, contributed to products such as Amazon Titan, AWS Glue, Amazon Q, AutoGluon, etc.
Education
- Received a PhD degree from the School of Computer Science and Engineering at UNSW Sydney, advised by Prof. Lina Yao, and supported by CSIRO's Data61 PhD Scholarship; obtained a Bachelor’s degree from Nanjing University.
Background
- Currently a senior applied scientist at Amazon Web Services AI, focusing on foundation models related research, product, and opensource projects. Primary areas of focus include LLMs, multimodal foundation models, information retrieval, time series forecasting, graph machine learning, etc.
Miscellany
- Keynote Talk at the LLM4Good Workshop of the 33rd ACM International Conference on User Modeling, Adaptation and Personalization (UMAP'25). SIGIR Workshop GENNEXT on Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI will take place on July 17. Special Issue on Generative Models for Recommender Systems: Opportunities, Risks, and Evaluation of ACM Transactions on Recommender Systems is calling for submissions.
Co-authors