Dr Tan was the Director General of the CAS Institute of Automation from 2000 to 2007, and has been Professor and Director of the NLPR since 1998. He also serves as Deputy Secretary-General of the CAS. He has published more than 300 research papers in refereed journals and conferences in the areas of image processing, computer vision and pattern recognition. His current research interests include biometrics, image and video understanding, and information forensics and security.

Dr Tan is a Fellow of the IEEE and the IAPR. He is Editor-in-Chief of the International Journal of Automation and Computing. He currently serves as Vice President of the IAPR, the Executive Vice President of the Chinese Society of Image and Graphics, Deputy President of the Chinese Association for Artificial Intelligence, and was Deputy President of the China Computer Federation and the Chinese Automation Association.

杨强，香港科技大学计算机系讲座教授，首位国际人工智能学会华人Fellow（AAAI Fellow）, 并为IEEE Fellow等多个国际学术协会的Fellow，ACM TIST和IEEE 大数据期刊创始主编，中国人工智能学会海外副理事长，国际人工智能协会（IJCAI）常务理事，AAAI Executive Council member。曾任华为诺亚方舟实验室创始主任和2015年国际人工智能大会（IJCAI）程序主席。主要研究兴趣是人工智能和大数据，是迁移学习领域的开拓者。发表论文共计400余篇，引用超过三万次。

Chengqing Zong’s research focuses on machine translation, human-computer dialogue system, and other related areas of natural language processing. As a principal investigator he has been taking charge of more than 10 projects, including the Natural Science Foundation projects of China, the High-Tech. Program (“863”) projects of China. He has published more than 200 papers in high quality journals and international conferences. He is a member of International Committee on Computational Linguistics (ICCL) and the vice president of Asian Federation on Natural Language Processing (AFNLP). He is also the vice president of the Society of Chinese Information Processing of China and a standing member of the Chinese Association of Artificial Intelligence as well. He serves on the journals ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) as Associate Editor, and IEEE Intelligent Systems as a member of editorial board.

Tong Zhang is a machine learning researcher, and the executive director of Tencent AI Lab. Previously, he was a professor at Rutgers university, and worked at IBM, Yahoo, and Baidu.

Tong Zhang's research interests include machine learning algorithms and theory, statistical methods for big data and their applications. His research has been supported by many grants from funding agencies such as NSF and NIH. He is a fellow of ASA and IMS, and he has been in the editorial boards of leading machine learning journals and program committees of top machine learning conferences.

Dr. Yao is a part-time Professor of Computer Science in the School of Computer Science at the University of Birmingham and the Director of the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA). He took up a chair professorship at the Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech). Dr. Yao is also a Fellow of IEEE, a Distinguished Lecturer, and a Past (2014-15) President of the IEEE Computational Intelligence Society. His research interests include evolutionary computation (evolutionary optimization, evolutionary learning, evolutionary design), neural network ensembles and multiple classifiers (especially on the diversity issue), meta-heuristic algorithms, data mining, computational complexity of evolutionary algorithms, and various real-world applications. He received a Royal Society Wolfson Research Merit Award in 2012, and the IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award in 2013.

王卫宁，中国人工智能学会秘书长，北京邮电大学研究员，中国两化融合应用推广联盟副理事长，中国科协智能制造学会联合体副秘书长，中国科协智能制造研究所副所长。

Zhaoxiang Zhang joined the School of Computer Science and Engineering, Beihang University, as an Assistant Professor (2009-2011), an Associate professor (2012-2015) and the vise-director of the Department of Computer application technology (2014-2015). In July 2015, he returned to the Institute of Automation, Chinese Academy of Sciences. He is now a Professor in the Research Center for Brain-inspired Intelligence.

His research interests include Computer Vision, Pattern Recognition, and Machine Learning. Recently, he specifically focuses on brain-inspired neuronetwork and brain-inspired learning.

杨强，香港科技大学计算机系讲座教授，首位国际人工智能学会华人Fellow（AAAI Fellow）, 并为IEEE Fellow等多个国际学术协会的Fellow，ACM TIST和IEEE 大数据期刊创始主编，中国人工智能学会海外副理事长，国际人工智能协会（IJCAI）常务理事，AAAI Executive Council member。曾任华为诺亚方舟实验室创始主任和2015年国际人工智能大会（IJCAI）程序主席。主要研究兴趣是人工智能和大数据，是迁移学习领域的开拓者。发表论文共计400余篇，引用超过三万次。

Harry Shum is executive vice president of Microsoft’s Artificial Intelligence (AI) and Research group. He is responsible for driving the company’s overall AI strategy and forward-looking research and development efforts spanning infrastructure, services, apps and agents. He oversees AI-focused product groups including Bing and Cortana.  He also leads Microsoft Research, one of the world’s premier computer science research organizations, and its integration with the engineering teams across the company. Previously, Dr. Shum served as the corporate vice president responsible for Bing search product development from 2007 to 2013. Prior to his engineering leadership role at Bing and online services, he oversaw the research activities at Microsoft Research Asia and the lab’s collaborations with universities in the Asia Pacific region, and was responsible for the Internet Services Research Center, an applied research organization dedicated to advanced technology investment in search and advertising at Microsoft. Dr. Shum joined Microsoft Research in 1996 as a researcher based in Redmond, Washington. In 1998 he moved to Beijing as one of the founding members of Microsoft Research China (later renamed Microsoft Research Asia). There he began a nine-year tenure as a researcher, subsequently moving on to become research manager, assistant managing director and managing director of Microsoft Research Asia and a Distinguished Engineer. Dr. Shum is an IEEE Fellow and an ACM Fellow for his contributions to computer vision and computer graphics. He received his Ph.D. in robotics from the School of Computer Science at Carnegie Mellon University. In 2017, he was elected to the National Academy of Engineering of the United States.

Jiawei Han is Abel Bliss Professor in the Department of Computer Science, University of Illinois at Urbana-Champaign.  He has been researching into data mining, information network analysis, database systems, and data warehousing, with over 900 journal and conference publications. He has chaired or served on many program committees of international conferences in most data mining and database conferences. He also served as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data and the Director of Information Network Academic Research Center supported by U.S. Army Research Lab (2009-2016), and is the co-Director of KnowEnG, an NIH funded Center of Excellence in Big Data Computing since 2014. He is Fellow of ACM, Fellow of IEEE, and received 2004 ACM SIGKDD Innovations Award, 2005 IEEE Computer Society Technical Achievement Award, and 2009 M. Wallace McDowell Award from IEEE Computer Society. His co-authored book "Data Mining: Concepts and Techniques" has been adopted as a textbook popularly worldwide.

Jiaya Jia is an IEEE fellow. He is now the Distinguished Scientist and Director of YouTu Lab, Tencent, as well as professor at Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK). He received his Ph.D. degree in Computer Science jointly from Microsoft Research and Hong Kong University of Science and Technology in 2004. He published 100+ papers in top conferences and journals and gave 30+ keynote talks in academia and industry. His team also released 20+ open-source systems and freeware. He is in the editorial boards of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and International Journal of Computer Vision (IJCV). He served as area chairs for ICCV and CVPR for several times. He was on (technical paper) program committees of major conferences in graphics and computational imaging, including ICCP, SIGGRAPH, and SIGGRAPH Asia.

Zhi-Hua Zhou, Professor, Head of Department of Computer Science and Technology, Dean of School of Artificial Intelligence of Nanjing University. He is a Fellow of the ACM, AAAI, AAAS, IEEE, IAPR, CCF and CAAI, and foreign member of the Academy of Europe. His research interests mainly includes artificial intelligence, machine learning and data mining. He authored the books “Ensemble Methods: Foundations and Algorithms” and “Machine Learning (in Chinese)”.

Bing Liu is a Distinguished Professor of Computer Science at the University of Illinois at Chicago. He received his Ph.D. in Artificial Intelligence from the University of Edinburgh. His research interests include sentiment analysis, lifelong learning, data mining, machine learning, and natural language processing (NLP). He has published extensively in top conferences and journals. Two of his papers have received 10-year Test-of-Time awards from KDD. He also authored four books: two on sentiment analysis, one on lifelong learning, and one on Web mining. Some of his work has been widely reported in the press, including a front-page article in the New York Times. On professional services, he served as the Chair of ACM SIGKDD (ACM Special Interest Group on Knowledge Discovery and Data Mining) from 2013-2017. He also served as program chair of many leading data mining conferences, including KDD, ICDM, CIKM, WSDM, SDM, and PAKDD, as associate editor of leading journals such as TKDE, TWEB, DMKD and TKDD, and as area chair or senior PC member of numerous NLP, AI, Web, and data mining conferences. He is a Fellow of ACM, AAAI and IEEE.

Zhiqiang (George) He, Lenovo Senior Vice President, and President of Lenovo Capital and Incubator Group. In his thirty-year career at Lenovo, George has been not only leading Lenovo’s product and technology innovation, but also witnessing the industry transformation from PC Internet,Mobile Internet, to Smart Internet at present. He founded Lenovo Research & Technology in 1999 serving as its director and Lenovo CTO, and has been staying at the cutting edge of technology industry with his unique vision. In 2010 George expanded his focus into venture capital making angel investment for top startups including Face++, iDreamSky, etc., and also incubated internally high potential startups such as ShareIT. In 2016, Mr. He founded Lenovo Capital and Incubator Group focusing on big data, AI+ vertical industries, cloud computing, robotics, AR/VR, and consumption upgrade, which will leverage the power of capital and Lenovo resources to incubate and invest into more promising companies. Mr. He also serves as adjunct professor and doctoral supervisor at the Institute of Computing Technology Chinese Academy of Science, and Beihang University.。

戴金权现任英特尔高级首席工程师、大数据技术全球CTO，负责领导英特尔全球（位于硅谷和上海）的工程团队在高级大数据分析（包括分布式机器学习和深度学习）上的研发工作，以及和全球领先的研究机构（如UC Berkeley AMPLab、RISELab等）的技术合作。他是一位得到国际认可的，在大数据、云计算和分布式机器学习上的专家；他是O’Reilly AI Conference Beijing的联席主席, Apache Spark 项目的committer和项目管理委员会（PMC）委员，以及BigDL（基于Apache Spark的分布式深度学习框架 https://github.com/intel-analytics/BigDL/）项目创始人。

Dr. Mu-Ming Poo has served as the founding Director of the Institute of Neuroscience, Chinese Academy of Sciences and the Head of the Laboratory of Neural Plasticity. He is the member of CAS, US National Academy of Sciences and Academia Sinica. In 2014, he was appointed as the director of the CAS Center for Excellence in Brain Science. Dr. Poo’s Research Interests focus on cellular and molecular mechanisms underlying axon guidance, synaptogenesis and synaptic plasticity. He has received the following honors: AAAS Fellow (2001), Ameritec Prize (2001), Ray Wu Society Award (2002), Docteur Honoris Causa of Ecole Normale Supérieure, Paris (2003), National Prize for International Cooperation of China (2005), Qiushi Excellent Scientist Award (2010), Outstanding Science and Technology Achievement Prize of the CAS (Research Group, 2011) and Honorary Doctoral Degree from the HKUST (2014).

陈熙霖博士，中科院计算技术研究所研究员，IEEE Fellow, IAPR Fellow, 中国计算机学会会士。近年来主要研究领域为计算机视觉、模式识别、多媒体技术以及多模式人机接口。曾任IEEE Trans. on Image Processing的Associate Editor，目前是IEEE Trans. on Multimedia和Journal of Visual Communication and Image Representation的Associate Editor、Journal of Computer Science and Technology领域编委、计算机学报副主编、人工智能与模式识别副主编。先后获得国家自然科学二等奖1项，国家科技进步二等奖4项。合作出版专著1本，在国内外重要刊物和会议上发表论文200多篇。

Min Zhang, Male, Ph.D., Distinguished Professor of Soochow University, Vice dean of the School of Computer Science and Technology, Director of Human Language Technology, Receiver of National Science Fund for Distinguished Young Scholars, “ShuangChuang High-end Talent Plan” for individual scholar and groups. He got his Ph.D degree from Harbin Institute of Technology in 1997.He has been working on natural language processing for ten of years. He is the PI of several on-going big research and industry projects. He has received three ministerial level awards. He has co-authored over 100 CCF A/B papers, 2 Springer books and 16 proceedings. He is the editorial board member of IEEE/ACM T-ASLP, SCIENTIA SINICA Informationis and ACTA AUTOMATICA SINICA. He is the chair of SIGHAN/ACL, member of the International Steering Committee of PACLIC, executive council member of CIPSC, council member of CAAI, president of Suzhou Computer Society and chair of CCF Suzhou.

Liwei Wang is a professor of School of Electronics Engineering and Computer Sciences, Peking University. His main research interest is machine learning theory and has published more than 100 papers on top conferences and journals. He was the first Asian researcher who was named among “AI’s 10 to Watch”. He served as the Area Chair of the flagship machine learning conferences NIPS and IJCAI.

北京大学教授，博士生导师，深圳研究生院科研处长。中组部“万人计划”首批科技创新领军人才，“十三五”国家重点研发计划“智能机器人重点专项”专家组专家。兼任中国人工智能学会副理事长，重庆两江人工智能学院院长，深圳市政协委员（科学技术界）。

Yinhe Han, Professor and PH.D Supervisor of Institute of Computing Technology, Chinese Academy of Sciences. His interests include chip design, things computing and architecture of unmanned system. In these fields, he has published more than 110 high quality papers, including some top conferences papers such as ISCA, HPCA, DAC. He has received several important awards including the Second class prize of National Technology Invention Awards (2012), National Outstanding Dissertation Award Candidates(2008). He was the general secretary of China Computer Federation(CCF) Technical Committee on Fault-Tolerant Computing. He has even been Chair of CCF Young Computer Scientists & Engineers Forum (CCF YOCSEF)(2016-2017) and was supported by and National Natural Science Fund for Outstanding Young Scholars.

张泉灵，紫牛基金创始管理合伙人，原央视著名记者主持人。张泉灵曾任《中国报道》记者、编导、主持人，新版《东方时空》总主持人及《人物周刊》《焦点访谈》《新闻会客厅》栏目主持人，2010年获得第十一届长江韬奋奖。2015年7月以顾问形式加盟紫牛基金。

北京航空航天大学教授，博士生导师，现任北航机器人研究所所长、机械工业服务机器人技术重点实验室主任，兼任国家重点研发计划“智能机器人”重点专项总体专家组副组长。研究方向为智能护理机器人、康复机器人和仿生机器人技术研究；荣获中国机械工业科技进步一等奖、广东省科技进步二等奖、吉林省科技进步三等奖等。

男，1983年生，江西南昌人。中科院计算所研究员、博导。带领其团队研制了国际上首个深度学习处理器芯片寒武纪，目前已经应用在千万级智能终端上。深度学习处理器论文多次获得计算机体系结构顶级国际会议最佳论文奖，受到上百个国际知名机构跟踪引用。被Science杂志评价为深度学习处理器的先驱和领导者。曾获全国创新争先奖、中国青年科技奖、国家自然科学基金“优秀青年基金”、国家万人计划“青年拔尖人才”、中科院青年科学家奖和中国计算机学会青年科学家奖，并被MIT技术评论评为全球35位杰出青年创新者（2015年度）。

Wenyuan Dai, founder and CEO of 4Paradigm, Gold Medal recipient in ACM-ICPC World Final, First Prize Winner in Wu Wen Jun AI Science & Technology Award (the highest award in China’s AI field), is also a recipient of 2017 MIT TR 35 under 35 and 2017 Fortune most successful entrepreneur 40 under 40. He is a scholar in transfer learning, with the number of citations of his paper ranking top 3 in the world. He has published many top-conference papers, including NIPS, ICML, AAAI and KDD. Mr. Wenyuan Dai also assisted Baidu in developing China’s largest and most successful machine learning system, which earned him the Baidu Top Award. There, he was promoted to principal scientist in only three years and became the youngest person to ever hold this position. Later, at Huawei’s Noah Ark Lab, he held the position of principal scientist and where he received the President’s Award.

中科院计算所研究员，主要研究领域是集成电路设计与测试、计算机体系结构。在这些领域共发表了110多篇学术论文，包含多篇ISCA、HPCA、DAC、ICCAD等体系结构和芯片领域顶级会议论文。韩银和获得过2012年国家技术发明二等奖、全国百篇优博提名(奖)、计算机学会优博等，担任中国计算机学会青年计算机科技论坛(CCF YOCSEF)主席(2016-2017)，计算机学会容错专委秘书长(2016-2019)。他获得了基金委优秀青年科学基金的资助。

Zhiqiang (George) He, Lenovo Senior Vice President, and President of Lenovo Capital and Incubator Group. In his thirty-year career at Lenovo, George has been not only leading Lenovo’s product and technology innovation, but also witnessing the industry transformation from PC Internet,Mobile Internet, to Smart Internet at present. He founded Lenovo Research & Technology in 1999 serving as its director and Lenovo CTO, and has been staying at the cutting edge of technology industry with his unique vision. In 2010 George expanded his focus into venture capital making angel investment for top startups including Face++, iDreamSky, etc., and also incubated internally high potential startups such as ShareIT. In 2016, Mr. He founded Lenovo Capital and Incubator Group focusing on big data, AI+ vertical industries, cloud computing, robotics, AR/VR, and consumption upgrade, which will leverage the power of capital and Lenovo resources to incubate and invest into more promising companies. Mr. He also serves as adjunct professor and doctoral supervisor at the Institute of Computing Technology Chinese Academy of Science, and Beihang University.

中国科学院自动化研究所研究员，博士生导师，国家杰出青年基金获得者，万人计划入选者，复杂系统管理与控制国家重点实验室副主任。获国家自然科学二等奖、杨家墀科技奖、中国科学院优秀导师奖等。

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Prof. Xin Li co-founded Xigmix Inc. to commercialize his PhD research, and served as the Chief Technical Officer until the company was acquired by Extreme DA in 2007. he was the Assistant Director for FCRP Focus Research C2S2, a national consortium of 13 research universities. From 2014 to 2015, he was the Assistant Director for the Center for Silicon System Implementation (CSSI). His research interests include integrated circuit, signal processing and data analytics. He was an Associate Editor of IEEE Trans. on Biomedical Engineering, IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems (TCAD), ACM Trans. on DAES and IEEE D&T. He was the General Chair of ISVLSI, iNIS and FAC, and the Technical Program Chair of CAD/Graphics. He received six Best Paper Awards from IEEE, DAC and ISIC. In addition to these awards, he also received six Best Paper Nominations from DAC, ICCAD and CICC.

1996年中国科技大学毕业，2001年中科院自动化研究所硕博连读，语音识别专业，参加历年国家863语音识别核心技术评测连续获得第一名;2006年毕业后在自动化所高技术创新中心负责语音识别核心技术组，参与国家863、973、广电、安全项目，2008年开始负责英语口语教育评估项目，2011年加盟盛大创新院(北京)，任高级研究员；2012年创立北京云知声。

北京大学教授，博士生导师，深圳研究生院科研处长。中组部“万人计划”首批科技创新领军人才，“十三五”国家重点研发计划“智能机器人重点专项”专家组专家。兼任中国人工智能学会副理事长，重庆两江人工智能学院院长，深圳市政协委员（科学技术界）。

中国机器人峰会主席团主席,国家科技部高技术研究发展中心研究员,科技部技术三级,国务院特殊贡献津贴获得者,“十三五“国家重点研发计划“智能机器人重点专项“主管,特种机器人标准委员会副主任委员。

Dr. Mu-Ming Poo has served as the founding Director of the Institute of Neuroscience, Chinese Academy of Sciences and the Head of the Laboratory of Neural Plasticity. He is the member of CAS, US National Academy of Sciences and Academia Sinica. In 2014, he was appointed as the director of the CAS Center for Excellence in Brain Science. Dr. Poo’s Research Interests focus on cellular and molecular mechanisms underlying axon guidance, synaptogenesis and synaptic plasticity. He has received the following honors: AAAS Fellow (2001), Ameritec Prize (2001), Ray Wu Society Award (2002), Docteur Honoris Causa of Ecole Normale Supérieure, Paris (2003), National Prize for International Cooperation of China (2005), Qiushi Excellent Scientist Award (2010), Outstanding Science and Technology Achievement Prize of the CAS (Research Group, 2011) and Honorary Doctoral Degree from the HKUST (2014).

王海峰，博士，现任百度高级副总裁，AI技术平台体系(AIG)总负责人，兼任百度研究院院长，负责百度研究院、语音技术部、自然语言处理部、知识图谱部、大数据部、视觉技术部、人脸技术部、增强现实技术部、AI技术生态部、百度地图、百度输入法及若干创新业务部门等。

博士，清华大学电子工程系长聘副教授，从事高能效电路与系统研究，发表论文200余篇，IEEE/ACM杂志文章40余篇；谷歌学术引用3000余次。担任ACM SIGDA E-News主编，IEEE TCAD、TCSVT编委，国际会议FPT2012，ISVLSI 2018技术委员会主席，DATE、GLSVLSI等多个会议的Track Chair，ISLPED 2012-2016财务主席，DAC等领域顶级会议技术委员会委员。ACM杰出演讲者，ACM FPGA技术委员会亚太地区唯一成员。获得FPGA17、NVMSA17、ISVLSI12最佳论文，以及9次国际会议最佳论文提名。16年获得NSFC优秀青年基金。曾获得 2017 年中国计算机学会科学技术奖技术发明奖一等奖、中关村高聚 工程-创新领军人才等奖项。深度学习FPGA加速器在2016年知识产权转化入股北京深鉴科技有限公司，打造世界最先进的FPGA深度学习平台。

赵杰,哈尔滨工业大学教授,机器人研究所所长,长江学者奖励计划特聘教授,中组部“万人计划”首批科技创新领军人才,国务院学科评议组成员,“十五”863计划智能机器人主题专家组组长,“十三五”国家重点研发计划“智能机器人重点专项”专家组组长,工信部智能制造专家咨询委员会委员。

高工产研创始人，国内外知名新兴产业研究专家，对人工智能、机器人、新能源和新材料等新兴产业有长期的跟踪和深入的研究。毕业于武汉理工大学、上海交通大学研究生院、德州大学达拉斯分校。在美国和中国先后任五百强等企业研发和管理职位。担任多个峰会秘书长并发表产业发展独到观点。担任多个地方政府产业顾问和上市公司战略顾问。

深圳市优必选科技有限公司创始人兼CEO，悉尼大学客座教授，深圳市商业联合会副会长，深圳机器人协会副理事长，第 17 届奥林匹克机器人大赛主席等。2012年创办深圳市优必选科技有限公司。2018年，优必选以50亿美元的估值获得腾讯领投的C轮融资，刷新AI领域单轮融资记录。

Zhi-Hua Zhou, Professor, Head of Department of Computer Science and Technology, Dean of School of Artificial Intelligence of Nanjing University. He is a Fellow of the ACM, AAAI, AAAS, IEEE, IAPR, CCF and CAAI, and foreign member of the Academy of Europe. His research interests mainly includes artificial intelligence, machine learning and data mining. He authored the books “Ensemble Methods: Foundations and Algorithms” and “Machine Learning (in Chinese)”.