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Jiaying Liu

From Wikipedia, the free encyclopedia

Jiaying Liu (Chinese: 刘家瑛) is a Chinese computer scientist whose research in computer vision includes highly-cited work on low-light enhancement, raindrop removal, and the recognition of human actions. She is an associate professor and Boya Young Fellow in the Wangxuan Institute of Computer Technology of Peking University.[1]

Education and career

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Liu graduated from Northwestern Polytechnical University in Xi'an in 2005, with a bachelor's degree in computer science. She received a Ph.D. in 2010 through Peking University, with the dissertation Rate Distortion Optimization Based Scalable Video Coding supervised by Zongming Guo. Her doctoral studies also included a visit to the University of Southern California, working there with C.-C. Jay Kuo.[2]

She remained at Peking University as an assistant professor beginning in 2010, and has been an associate professor since 2012.[2]

Recognition

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Liu was named as a distinguished member of the China Computer Federation in 2022.[1] She was named to the 2025 class of IEEE Fellows "for contributions to intelligent visual compression and enhancement".[3]

References

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  1. ^ a b "Jiaying Liu Ph.D.", Spatial and Temporal Restoration, Understanding and Compression Team, Wangxuan Institute of Computer Technology at Peking University, retrieved 2024-12-13
  2. ^ a b Liu Jiaying profile, Wangxuan Institute of Computer Technology at Peking University, retrieved 2024-12-13
  3. ^ IEEE Fellow Class of 2025 (PDF), IEEE, retrieved 2024-12-13
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