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Eleven Scholars Included in AI Most Influential List

From left: Prof. Irwin King, Prof. Michael Lyu and Prof. Sean Tang

Eleven professors from the Faculty of Engineering have been named in the AI 2000 Most Influential Scholar Annual List for their contributions in the realm of artificial intelligence. Please refer to the list below.

Covering 20 sub-fields in AI, the list is jointly announced by Tsinghua-Chinese Academy of Engineering’s Joint Research Center for Knowledge and Intelligence, and the Institute for Artificial Intelligence of Tsinghua University. It is automatically generated and determined by computer algorithms deployed in a system called AMiner that tracks and ranks scholars based on citation counts collected from top-tier publications over the past 10 years. The most-cited scholars with lasting contributions and impact on the global AI development are recognized by the system.

Among the 11 awardees, Prof. Irwin King, Prof. Michael Lyu and Prof. Sean Tang have been named in the list in multiple fields.

CUHK Awardees List of AI 2000

Name

Department

Field

Prof. Irwin King

Department of Computer Science and Engineering

AAAI/IJCAI, Information Retrieval and Recommendation, and Data Mining

Prof. Michael Lyu

Department of Computer Science and Engineering

AAAI/IJCAI, Information Retrieval and Recommendation, and Data Mining

Prof. Sean Tang

Department of Information Engineering

Computer Vision, Multimedia

Prof. James Cheng

Department of Computer Science and Engineering

Database

Prof. Ada Fu

Department of Computer Science and Engineering

Database

Prof. Tao Yufei

Department of Computer Science and Engineering

Database

Prof. Jeffrey Yu

Department of Systems Engineering and Engineering Management

Database

Prof. Jia Jiaya

Department of Computer Science and Engineering

Computer Vision

Prof. Wang Xiaogang

Department of Electronic Engineering

Computer Vision

Prof. Tom Luo

Department of Systems Engineering and Engineering Management

Speech Recognition

Prof. Ma Wing-kin

Department of Electronic Engineering

Speech Recognition