Jin Shang

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Jin Shang, Ph.D.
Applied Scientist II at Amazon
San Diego, California, United States

Email: astrostell@gmail.com [Google Scholar]

at Grand Isle State Park, Louisiana, USA. (Oct 6, 2018)

About me

I am currently an Applied Scientist at Amazon, where I focus on developing Generative AI models and Large Language Models (LLMs) to improve the Amazon customer experience. I earned my Ph.D. in Computer Science from Louisiana State University, advised by Dr. Mingxuan Sun.

At Amazon, my work spans both production and research:

1. Production Impact: I’ve contributed to large-scale real-time and offline systems, including semantic search for ads retrieval, embedding-based retrieval, LLM-powered product recommendations, and generative-augmented retrieval. These efforts have collectively driven over $500M in annualized sponsored products advertising revenue and over $700M in annualized order product sales (OPS).

2. Research Contributions: I serve as the primary point of contact (POC) for several research initiatives and have published multiple papers at both external academic conferences and Amazon's internal research venues.

Education

  • Ph.D. in Computer Science, Louisiana State University, Aug. 2016 - Aug. 2020

  • M.S. in Solid Mechanics, University of Science and Technology of China, Sep. 2013 - Jun. 2016

  • B.S. in Theoretical and Applied Mechanics, University of Science and Technology of China, Sep. 2009 - Jun. 2013

Research Interests

  • Statistical Machine Learning, Deep Learning, Point Process, Optimization, Fairness

  • Data Mining, Information Retrieval, Recommender System

  • Computer Vision, Computer Graphics, Natural Language Processing

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