Personal Information
  • Professor
  • Supervisor of Doctorate Candidates
  • Supervisor of Master's Candidates
  • Name (English):Wu Ji
  • E-Mail:
  • School/Department:Department of Electronic Engineering, Tsinghua University
  • Administrative Position:Deputy chair of Department
  • Education Level:With Certificate of Graduation for Doctorate Study
  • Business Address:Rohm Building, Tsinghua University, 100084, Beijing, P.R.China
  • Gender:Male
  • Degree:Doctoral Degree in Engineering
  • Academic Titles:Director of Center for Big Data and Clinical Research, Institute for Precision Medicine, Tsinghua University; Deputy head of Tsinghua University Smart Medical Research Institute
  • Other Post:Leader of Technical Working Group of China Voice Industry Alliance; Member of the Standing Committee of National Conference on Man-Machine Speech Communication (NCMMSC); Deputy Secretary-General of the Electronic Information Professional Teaching Steering Committee for Colleges and Universities; Mem
  • Alma Mater:Tsinghua University
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Profile

Wu Ji was born in WuXi, JiangSu Province, China. He received his B.S degree and his Ph.D degree from the Department of Electronic Engineering, Tsinghua University, in 1996 and 2001 respectively. He is currently an professor and Vice Chairman of the Department of Electronic Engineering, Tsinghua University. From 2006, Prof. Wu is the director of Tsinghua-iFlyTek Joint Lab for Speech Technologies. And he now is the leader of TWG(Technical Work Group) of Speech Industry Alliance of China. His research interests include speech recognition, natural language processing, pattern recognition, machine learning and data mining. Prof. Wu has published 60 peer-reviewed papers. He has been serving as a standing committee member of National human-computer voice communication conference since 2009.  And he is also paper reviewer for several international and domestic journals and academic conferences.

Work Experience
  • teaching , Department of Electronic Engineering , Tsinghua University , 在职
    2001年3月留校任教。2013年至2015年在美国佐治亚理工学院担任访问学者。2018年12月被聘任为清华大学长聘教授,2019年10月起担任清华大学电子与通信学位分委员会副主席, 2019年7月开始担任清华大学精准医学研究院临床大数据中心主任,2020年10月至今担任清华大学智慧医疗研究院副院长。  2001-1-1 ∼ Now
Educational Experience
  • Tsinghua University,  Signal and information processing from Department of Electronic Engineering,  Doctoral degree 1996-9-15 ∼ 2001-4-15
  • Tsinghua University,  Department of Electronic Engineering,  Bachelor's Degree in Engineering 1991-9-15 ∼ 1996-4-15
Social Affiliations
  • 中央电化教育馆 人工智能教育专家组,成员 2019-12-2 ∼ Now
  • 高等学校电子信息类专业教学指导委员会,副秘书长 2018-12-1 ∼ Now
  • 认知智能国家重点实验室学术委员会委员 2018-7-15 ∼ Now
  • 中国计算机学会语音对话与听觉专业组委员 2018-5-15 ∼ Now
  • 口腔数字化医疗技术和材料国家工程实验室第二届技术委员会,委员 2016-4-15 ∼ Now
  • 智能语音技术公安部重点实验室学术委员会,委员 2012-11-1 ∼ 2015-11-2
  • Leader of TWG(Technical Work Group) of Speech Industry Alliance of China 2012-4-15 ∼ Now
  • Member of Steer Committee of NCMMSC(National Conference on Man-Machine Speech Communication) 2007-6-1 ∼ Now
  • Member of SWG(Standard Work Group) of Chinese Voice Interactive Technologies, MIIT, China 2004-4-15 ∼ Now
  • IEEE高级会员 2015-2-15 ∼ Now
  • IEEE BigComp2019,Workshop Chair
  • Member of Technical Program Committee of ISCSLP2012,ISCSLP2010 and ISCSLP2008
  • ICBSB 2018,技术委员会委员 2018-4-15 ∼ Now
  • IEEE MLSP 2018,程序委员会委员 2018-4-15 ∼ Now
  • IEEE ISCSLP2008,2010,2012,2014,2016    程序委员会委员
  • IEEE SLT2014,panelist for panel discussion "Next generation SLT scientists and engineers" 2014-4-15 ∼ Now
  • Member of Technical Program Committee of NCMMSC2013,NCMMSC2011,NCMMSC2009 and NCMMSC2007
Research Group
多媒体信号与智能信息处理实验室
多媒体信号与智能信息处理实验室(简称MSIIP实验室)现有教师2人、博士后1人、工程师22人、在读研究生24人。
MSIIP实验室采用包括统计模式识别、机器学习、数据挖掘等海量数据处理技术,研究数据和信息的认知、理解、以及有效管理和利用。2015年起,实验室开始发力智慧医疗研究领域,将自然语言理解、知识工程、数据挖掘和图像分析技术应用到医学领域,积极开展全科辅助诊断和专科辅助诊疗的研究工作。
Honored
  • 2023   2022-2023年度“高校计算机专业优秀教师奖励计划”,教育部高等学校计算机类专业教学指导委员会、中国教师发展基金会(2023)
  • 2023   第十七届国际语义评测大赛“文本蕴涵”和“证据取证”的双赛道第一名,第十七届国际语义评测大赛(SemEval 2023)
  • 2022   基于全病历的DRG分组关键信息监管”解决方案,国家医保局智慧医保解决方案大赛一等奖(2022)
  • 2022   基于现代学习理论和专业知识架构的电子信息类成体系的课程建设与推广,2021 年北京市高等教育教学成果奖(2022)
  • 2022   《数据与算法》教材,北京高等学校优质本科教材课件(2022)
  • 2022   《电子信息科学与技术导引》教材,北京高等学校优质本科教材课件(2022)
  • 2020   《数据与算法》课程,教育部国家级一流本科课程(2020)
  • 2021   基于学习理论和电子信息知识架构的系列课程和推广,获2021年清华大学教学成果特等奖
  • 2021   《数据与算法》课程建设与教学实践,获2021年清华大学教学成果二等奖
  • 2021   国际表征学习会议ICLR2021全球挑战赛的疾病自动诊断对话系统赛道名列第一
  • 2018   TREC 2018精准医药评测两个子任务总计六项指标评测中,三项指标第一、两项指标第二
  • 2018-04-15   面向海量语音及网络文本的分析技术及应用,获中国产学研合作创新成果奖, 二等奖
  • 2014-04-15   面向海量语音数据的识别、检索和内容分析技术研发及应用,北京市科学技术奖,一等奖
  • 2014   2013年度清华大学生科研成果推广应用效益奖,一等奖
  • 2011-04-15   National Science and Technology Progress Award Second Class (the eighth of the group), China
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Doctoral Degree in Engineering

Wu Ji
MOBILE Version