Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
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School/Department:Department of Electronic Engineering, Tsinghua University
Education Level:With Certificate of Graduation for Doctorate Study
Business Address:Rohm Building, Tsinghua University, 100084, Beijing, P.R.China
Degree:Doctoral Degree in Engineering
Professional Title:Professor
Alma Mater:Tsinghua University
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Wu Ji is a Tenured Professor and Ph.D. Supervisor at the Department of Electronic Engineering, Tsinghua University, and serves
as Co-Director of the Clinical Big Data Center at the Institute of Precision Medicine, Tsinghua University.
He earned his Bachelor's degree (1996) and Ph.D. (2001) from Tsinghua University's Department of Electronic Engineering, and
was a visiting scholar at the Georgia Institute of Technology from 2013 to 2015. His research focuses on artificial intelligence,
machine learning, natural language processing, pattern recognition, and data mining. He has directed the Tsinghua-iFlytek Joint
Research Center since 2006.
holds multiple prestigious positions including:
Senior Member of IEEE
Chair of the Technical Working Group at China Speech Industry Alliance
Committee Member of the National Engineering Research Center for Oral Biomaterials and Digital Medical Devices
Executive Council Member of China International Exchange and Promotive Association for Medical and Health Care
Committee Member in specialized technical committees under CCF and CAAI
Sanding Committee Member of the Smart Healthcare Committee at China Association of Integrative Medicine.
His educational achievements include:
Core undergraduate course Data and Algorithms (rated "Beijing Municipal First-Class Course" in 2019 and "National First-Class
Undergraduate Course" in 2020)
Eponymous textbook recognized as "Beijing Higher Education Quality Textbook" in 2022
2021 Beijing Higher Education Teaching Achievement Award (First Prize) for curriculum system innovation
Selected for multiple national teaching excellence programs including the MOE Computer Teaching Guidance Committee.
He has led major national research projects including National Key R&D Programs and NSFC grants. Notable awards
include:
Second Prize of National Science and Technology Progress Award (2011)
First Prize of Beijing Science and Technology Award (2014)
First Prize of National Science and Technology Progress Award (2024).
With over 200publications in top-tier journals/conferences such as Nature Communications, IEEE TASLP, AAAI, and ACL, his
work spans fundamental research and industrial applications in intelligent speech and medical AI technologies.
Member of the Artificial Intelligence Education Expert Group of the Central Institute for Educational Technology.
Deputy Secretary - General of the Teaching Steering Committee for Electronic and Information Majors in Higher Education Institutions.
Member of the Academic Committee of the National Key Laboratory of Cognitive Intelligence.
Member of the Task Force on Speech, Dialogue and Auditory Processing of the China Computer Federation
Member of the 2nd Technical Committee of the National Engineering Laboratory for Digital and Material Technology of Stomatology
Member of the Academic Committee of the Key Laboratory of Intelligent Speech Technology, Ministry of Public Security.
Leader of TWG(Technical Work Group) of Speech Industry Alliance of China
Member of Steer Committee of NCMMSC(National Conference on Man-Machine Speech Communication)
Member of SWG(Standard Work Group) of Chinese Voice Interactive Technologies, MIIT, China
IEEE Senior Member
ICBSB 2018，Member of the Technical Committee
IEEE ISCSLP2008，2010，2012，2014，2016 ，2018， Member of the Program Committee
IEEE SLT2014，panelist for panel discussion "Next generation SLT scientists and engineers"
Member of Technical Program Committee of NCMMSC2013，NCMMSC2011，NCMMSC2009 and NCMMSC2007
Medical Information and Engineering, undergraduate/postgraduate courses, spring semester, with 32 class hours and an enrollment of 40 to 60 students.| | |
Natural Language Processing and Text Mining, undergraduate/graduate courses, spring semester, with 32 class hours and an enrollment of 40-60 students.| | |
Data and Algorithms, a core course for undergraduates, offered in the fall semester, with 48 class hours and an enrollment of 120 - 150 students.| | |
