Established in November 2018 in Beijing, China, the Beijing Academy of Artificial Intelligence (BAAI) is a non-profit research institute dedicated to promoting collaboration among academia and industries, as well as fostering top talents and a focus on long-term research on the fundamentals of AI technology. As a collaborative hub, BAAI’s founding members include leading AI companies, Chinese universities and research institutes.
BAAI encourages scientists to explore “no man’s land”, to take on the most foundational and challenging problems, to promote revolutionary or disruptive breakthroughs in AI theories, methodologies, tools, systems and applications. BAAI is committed to foster the best academic and technological innovation ecosystem, and to build Beijing to a leading global AI innovation center by contributing academic thoughts, foundational theories, top talents, enterprise innovation and development policies. BAAI also provides fundamental support to AI industry development and AI applications to improve people’s life, and to promote sustainable development of the human beings, environment and intelligence.
Council
HongJiang ZHANG
Chairman
Gang CAO
Vice Chairman
Tiejun HUANG
Peking University
Bai LU
Tsinghua University
Bo XU
Chinese Academy of Sciences
Haifeng WANG
Baidu
Baoqiu CUI
Xiaomi
Weiying MA
ByteDance
Yu BAI
Zhongguancun Technology Park
Jian SUN
Megvii
Huaxia XIA
MeituanAdvisory Committee Members
Bo ZHANG
Tsinghua University
Wen GAO
Peking University
John E. Hopcroft
Cornell University
Michael Jordan
UC Berkeley
Kai LI
Princeton University
Songchun ZHU
UCLA
Steve Furber
University of ManchesterManagement Team
Tiejun HUANG
DirectorGang CAO
Deputy Director
Jie TANG
Deputy Director, Academics
Jiang LIU
Deputy Director, Operation
Centered around leading AI scholars
Attract world top AI scientists
Build an international, dynamic and influential research community.
BAAI supports researchers to solve the most basic and most important problems of AI development. The “BAAI Scholars Program”, which funds researchers from universities, research institutes, and enterprises, focuses on the original innovations and core technologies of AI.
The Mathematical Foundations of AI
Pingwen ZHANG
Peking University
Bican XIA
Peking University
Yuhong DAI
Chinese Academy of Sciences
Ke DENG
Tsinghua University
Bin DONG
Peking University
Tiejun LI
Peking University
Wei LIN
Peking University
Pingbing MING
Chinese Academy of Sciences
Zuoqiang SHI
Tsinghua University
Zaiwen WEN
Peking University
Chao YANG
Peking University
Zhihua ZHANG
Peking UniversityMachine Learning
Shuicheng YAN
YITU
Bin CHENG
Qihoo 360
Zhouchen LIN
Peking University
Liwei WANG
Peking University
Changshui ZHANG
Tsinghua University
Jun ZHU
Tsinghua University
Jieping YE
DiDi
Jian SUN
MegviiIntelligent Information Retrieval and Mining
Jirong WEN
Renmin University of China
Zhicheng DOU
Renmin University of China
Jianyong WANG
Tsinghua University
Bin CUI
Peking University
Jie TANG
Tsinghua University
Jun XU
Renmin University of China
Jiafeng GUO
Chinese Academy of Sciences
Yiqun LIU
Tsinghua UniversityIntelligent Architecture and Chips
Yunji CHEN
Chinese Academy of Sciences
Qi GUO
Chinese Academy of Sciences
Wenguang CHEN
Tsinghua University
Youhui ZHANG
Tsinghua University
Yimao CAI
Peking University
Shouyi YIN
Peking University
Guojie LUO
Peking University
Yungang BAO
Chinese Academy of Sciences
Yinhe HAN
Chinese Academy of Sciences
Huaxiang lu
Chinese Academy of Sciences
Qi LIU
Chinese Academy of SciencesNatural Language Processing
Maosong SUN
Tsinghua University
Erhong YANG
Beijing Language and Culture University
Juanzi LI
Tsinghua University
Yang LIU
Tsinghua University
Zhifang SUI
Peking University
Xiaojun WAN
Peking University
Xiaodong HE
JD.COMBAAI Young Scientists
Zhanxing ZHU
Peking University
Han WANG
IAPCM
Sihong SHAO
Peking University
Qian LIN
Tsinghua University
Gao HUANG
Tsinghua University
Xiangyu ZHANG
Megvii
Peng CUI
Tsinghua University
Pingzhong TANG
Tsinghua University
Jia JIA
Tsinghua University
Lei ZOU
Peking University
Huawei SHEN
Chinese Academy of Sciences
Kang LIU
Chinese Academy of Sciences
Zidong du
Chinese Academy of Sciences
Xiaoming CHEN
Chinese Academy of Sciences
Guangyu SUN
Peking University
Jidong ZHAI
Tsinghua University
Yuchao YANG
Peking University
Guoqi LI
Tsinghua University
Xianpei HAN
Chinese Academy of Sciences
Zhiyuan LIU
Tsinghua University
Xu SUN
Peking University
Rui YAN
Peking University
Jiajun ZHANG
Chinese Academy of Sciences
Yang YUAN
Tsinghua University
Shaowei CAI
Chinese Academy of Sciences
Xinyu ZHANG
Chinese Academy of Sciences
Xin ZHAO
Renmin University of China
Zhilin YANG
Recurrent AI
Yanyan LAN
Chinese Academy of Sciences
Jiwei LI
Shannon.AI
Yun LIANG
Peking University
Kai CHEN
Chinese Academy of Sciences
Kaigui BIAN
Peking University
Chun YU
Tsinghua University
Pingrui WANG
Chinese Academy of Sciences
Jiwen LU
Tsinghua University
Boxin SHI
Peking University
Jifeng DAI
SenseTime
Zhanyu MA
Beijing University of Posts and Telecommunications
Beijing AI Principles – 15 consensuses to guide AI R&D, deployment,
governance, and industry at large
Aims for sharing artificial intelligence datasets and promoting the
establishment of open data standards
BAAI-Megvii Joint Lab on AI Model Design and Image Sensing
BAAI-JD Joint Lab on Multimodal Intelligent Dialogue
The BAAI Community, an online and offline science hub, is a
highly collaborative place for simulating ideas and innovation.
