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Jia Li

From Wikipedia, the free encyclopedia

Jia Li is a Chinese-American statistician and computer scientist known for her research on image annotation and image retrieval. She is a professor of statistics and of computer science at Pennsylvania State University.[1]

Education and career

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Li studied information and control engineering at Xi'an Jiaotong University, graduating with a bachelor's degree in 1993. She went to Stanford University for graduate study, earning master's degrees in electrical engineering and statistics in 1995 and 1998 respectively, and completing a Ph.D. in electrical engineering in 1999.[1] Her dissertation, Image Classification and Compression Based on a Two-Dimensional Multiresolution Hidden Markov Model, was supervised by Robert M. Gray.[2]

She joined Penn State in 2000 after a year of research at the Xerox Palo Alto Research Center. She worked at the National Science Foundation as a program director from 2011 to 2013, and has been editor-in-chief of the journal Statistical Analysis and Data Mining from 2018 to 2020.[1]

Recognition

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Li became a Fellow of the American Statistical Association in 2019.[3] She was named as a 2020 IEEE Fellow, "for contributions to real-time automatic image annotation and image retrieval".[4]

References

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  1. ^ a b c "Jia Li", People, Penn State Department of Statistics, retrieved 2023-12-02
  2. ^ Jia Li at the Mathematics Genealogy Project
  3. ^ ASA Fellows, American Statistical Association, retrieved 2023-12-02
  4. ^ IEEE Signal Processing Society Announces 2020 Class of Fellows, IEEE Signal Processing Society, 1 January 2020, retrieved 2024-12-09
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