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Keynote 1: The Future of the Internet of Things

Vinton Cerf 
Google Inc.
Vinton G. Cerf is vice president and Chief Internet Evangelist for Google. He contributes to global policy development and continued spread of the Internet. Widely known as one of the "Fathers of the Internet," Cerf is the co-designer of the TCP/IP protocols and the architecture of the Internet. He has served in executive positions at MCI, the Corporation for National Research Initiatives and the Defense Advanced Research Projects Agency and on the faculty of Stanford University. Vint Cerf served as chairman of the board of the Internet Corporation for Assigned Names and Numbers (ICANN) from 2000-2007 and has been a Visiting Scientist at the Jet Propulsion Laboratory since 1998. Cerf served as founding president of the Internet Society (ISOC) from 1992-1995. Cerf is a Foreign Member of the British Royal Society and Swedish Academy of Engineering, and Fellow of IEEE, ACM, and American Association for the Advancement of Science, the American Academy of Arts and Sciences, the International Engineering Consortium, the Computer History Museum, the British Computer Society, the Worshipful Company of Information Technologists, the Worshipful Company of Stationers and a member of the National Academy of Engineering. He has served as President of the Association for Computing Machinery, chairman of the American Registry for Internet Numbers (ARIN) and completed a term as Chairman of the Visiting Committee on Advanced Technology for the US National Institute of Standards and Technology. President Obama appointed him to the National Science Board in 2012. Cerf is a recipient of numerous awards and commendations in connection with his work on the Internet, including the US Presidential Medal of Freedom, US National Medal of Technology, the Queen Elizabeth Prize for Engineering, the Prince of Asturias Award, the Tunisian National Medal of Science, the Japan Prize, the Charles Stark Draper award, the ACM Turing Award, Officer of the Legion d’Honneur and 29 honorary degrees. In December 1994, People magazine identified Cerf as one of that year's "25 Most Intriguing People." His personal interests include fine wine, gourmet cooking and science fiction. Cerf and his wife, Sigrid, were married in 1966 and have two sons, David and Bennett.



Keynote 2: What Needs to be Added to Machine Learning?

Leslie Valiant Harvard University
Abstract: The question we ask is how to build on the success of machine learning to address the broader goals of artificial intelligence. We regard reasoning as the major component of cognition, other than learning, that needs to be incorporated. We suggest that the central challenge therefore is to unify the formulation of these two phenomena, learning and reasoning, whose conventional formulations are contradictory, into a single framework with a common semantics. We propose Robust Logic for this role, as a framework with a satisfactory theoretical basis. Testing it experimentally on a significant scale remains a major challenge for the future.
Bio: Leslie Valiant was educated at King's College, Cambridge; Imperial College, London; and at Warwick University where he received his Ph.D. in computer science in 1974. He is currently T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics in the School of Engineering and Applied Sciences at Harvard University, where he has taught since 1982. Before coming to Harvard he had taught at Carnegie Mellon University, Leeds University, and the University of Edinburgh. His work has ranged over several areas of theoretical computer science, particularly complexity theory, learning, and parallel computation. He also has interests in computational neuroscience, evolution and artificial intelligence and is the author of two books, Circuits of the Mind, and Probably Approximately Correct. He received the Nevanlinna Prize at the International Congress of Mathematicians in 1986, the Knuth Award in 1997, the European Association for Theoretical Computer Science EATCS Award in 2008, and the 2010 A. M. Turing Award. He is a Fellow of the Royal Society (London) and a member of the National Academy of Sciences (USA).



Keynote 3: AI Can Help to Create a Humane Society: Cognition Amplifiers and Guardian Angels

Raj Reddy Carnegie Mellon University

Abstract: Cognition Amplifiers (COGs) and Guardian Angels (GATs) are two types of intelligent Agents technologies that assist humankind. A Cognition Amplifier is a Personal Enduring Autonomic Intelligent Agent that anticipates what you want to do and helps you to do it with less effort. A Cognition Amplifier can perform day to day tasks such as buying and selling, banking, and answer routine emails. A Guardian Angel is a Personal Enduring Autonomic Intelligent Agent assigned to each person on the planet to ensure the user’s safety, security and wellbeing.  A Guardian Angel can discover and warn the user about unanticipated events such as just-in-time warnings about hurricanes, earthquakes, extreme weather as well as potential impending problems of food security, water security and energy security. Together these intelligent agents can be used to create a Humane Society.  AI technologies can be used to monitor, diagnose and remediate problems using personalized Guardian Angels and ensure basic necessities and protect human rights of every person on earth.
To do these tasks, GATs and COGs must be always-on, always working and always-learning. They should be capable of automated discovery from multiple Internet-based data and information sources by monitoring, analyzing and learning from own experience and experience of others and by sharing knowledge with a community of GATs and COGs. Big Data from the global community of GATs and COGs, suitably anonymized, can be used to learn appropriate responses for every possible situation.  They learn preferences by observing user choices, learn using task similarity and user similarity, learn from error correction data, and/or simply learning by asking using clarification dialog.  These tasks require the development of foundational AI technologies of data driven learning, augmented intelligence through human-machine collaboration, multi-lingual and multimedia data mining, autonomous and autonomic self-healing system technologies.
Bio: Raj Reddy is a University Professor of Computer Science and Robotics and Moza Bint Nasser Chair at Carnegie Mellon University.  He was an Assistant Professor at Stanford from 1966-69 and Faculty Member at Carnegie Mellon since 1969. He served as the founding Director of the Robotics Institute from 1979 to 1991 and the Dean of School of Computer Science from 1991 to 1999.
He has been active in AI research for over five decades in the areas of AI, Speech Understanding, Image Understanding, Robotics, Multi-sensor Fusion, and Intelligent Agents.
Dr. Reddy's current research interests include: Technology in Service of Society, Voice Computing for the 3B semi-literate populations at the bottom of the pyramid, Digital Democracy, and Learning Science and Technologies.
He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences. He received. He served as co-chair of President Clinton’s Information Technology Advisory Committee (PITAC) from 1999 to 2001.  Dr. Reddy is the recipient of the Legion of Honor in 1984, the ACM Turing Award in 1994, the Padma Bhushan in 2001, the Honda Prize in 2005 and Vannevar Bush Award in 2006.



Keynote 4: Machine Learning: Trends, Perspectives and Challenges

Michael I. Jordan University of California, Berkeley
Abstract: While there has been significant progress in the theory and practice in machine learning in recent years, many fundamental challenges remain.  Some are mathematical in nature, such as the challenges associated with optimization and sampling in high-dimensional spaces.  Some are statistical in nature, including the challenges associated with multiple decision-making.  Others are economic in nature, including the need to price services and provide incentives in data-based markets.  And others are systems challenges, arising from the need for highly-scalable, robust and understandable hardware and software platforms.  I will overview these challenges and others, and propose some paths forward.
Bio: Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive and biological sciences.  Prof. Jordan is a member of the US National Academy of Sciences, a member of the US National Academy of Engineering and a member of the American Academy of Arts and Sciences. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009.



Keynote 5: Intelligent Voice Search

Haifeng Wang
Baidu Inc.
Haifeng Wang, PhD, a vice president of Baidu, currently is the head of Baidu’s Artificial Intelligent Group (AIG), which includes Baidu Research (Institute of Deep Learning, Big Data Lab, Silicon Valley AI Lab, and Augmented Reality Lab), Speech, Natural Language Processing, Knowledge Graph, AI Platform, and other departments. Dr. Wang joined Baidu in 2010. Through 2010 to 2013, he spearheaded Baidu's efforts in natural language processing, multimedia (speech, image), knowledge graph, personalized recommendation, and deep learning. In 2014, he was appointed as the vice general manager of Search Services Group, in charge of Baidu's core search products, including Baidu Search, Mobile Baidu, Baidu Feeds, Baidu Translate, Duer, DuRobot, Baidu News, etc. Dr. Wang was the president of the Association for Computational Linguistics (ACL) in 2013, and is an ACL fellow. He is a vice president of Chinese Institute of Electronics, CyberSecurity Association of China, and Chinese Information Processing Society of China. Dr. Wang was honored the Second Prize of National Science and Technology Progress Award in 2015.



Keynote 6: City Brain - the Super AI Innovation Platform

Xiansheng Hua
Alibaba Group
Abstract: A city is an aggregate of a huge amount of heterogeneous data. However, extracting meaningful values from that data remains challenging. City Brain is an end-to-end system whose goal is to glean irreplaceable values from big-city data, specifically videos, with the assistance of rapidly evolving AI technologies and fast-growing computing capacity. From cognition to optimization, to decision-making, from search to prediction and ultimately, to intervention, City Brain improves the way we manage the city, as well as the way we live in it. In this talk, we will introduce current practices of the City Brain platform, as well as what we can do to achieve the goal and make it a reality, step by step.
Bio: Xian-Sheng Hua is now a Distinguished Engineer/VP of Alibaba Group, leading a team working on large-scale visual intelligence on the cloud. Dr. Hua is an IEEE Fellow, and ACM Distinguished Scientist. He received the B.S. degree in 1996, and the Ph.D. degree in applied mathematics in 2001, both from Peking University, Beijing, China. He joined Microsoft Research Asia, Beijing, China, in 2001, as a Researcher. He was a Principal Research and Development Lead in Multimedia Search for the Microsoft search engine, Bing, Redmond, WA, USA, from 2011 to 2013. He was a Senior Researcher with Microsoft Research Redmond, Redmond, WA, USA, from 2013 to 2015. He became a Researcher and Senior Director of the Alibaba Group, Hangzhou, China, in April of 2015, leading the Visual Computing Team in Search Division, Alibaba Cloud and then iDST.
He has authored or coauthored more than 200 research papers and has filed more than 90 patents. His research interests include big multimedia data search, advertising, understanding, and mining, as well as pattern recognition and machine learning. Dr. Hua served or is now serving as an Associate Editor for the IEEE Trans. on Multimedia and ACM Transactions on Intelligent Systems and Technology. He served as a Program Co-Chair for IEEE ICME 2013, ACM Multimedia 2012, and IEEE ICME 2012. He was one of the recipients of the 2008 MIT Technology Review TR35 Young Innovator Award for his outstanding contributions on video search. He was the recipient of the Best Paper Awards at ACM Multimedia 2007, and Best Paper Award of the IEEE Trans. on CSVT in 2014.Dr. Hua will be serving as general co-chair of ACM Multimedia 2020.



Keynote 7: World Class Innovation by Chinese Startups: Leading AI into the Future from Technology to Sophisticated Everyday Use

Leo Zhu
YITU Technology

Abstract: Chinese startups are at the very forefront of AI development and advances are coming remarkably fast both in the technology and the applications they support. Current AI technology has been accelerating in development so quickly that facial recognition, for example, in the past two years has speeded up at least a thousand times in performance. What needs to happen now is for the applications to catch up with the speed of this excellent technology.
AI is a form of native intelligence:
• AI will be the next form of utility service for organizations and economies.
• AI will enable data to power the next generation of computing and systems – including chipsets, CPUs, search capabilities.
• AI is a is multi-dimensional technology which will impact businesses in the long run.
To succeed in the AI race, both technical capability as well as sophisticated integration into industry applications is required. Besides vertical industries, this also includes chips and human-computer interaction, which requires interactive speech recognition and semantic understanding. We will also explore areas such as retail etc. China is already leading the world in many areas. China itself has world-class problems, whether it is city management or medical health, so our problems determine the significance of the scientific work. AI is a golden opportunity. China is creating the future and its people are taking the risks to do that. We expect to provide world-class innovation and are investing in the talent necessary to make it happen.
YITU is an AI company with business in many fields, integrating state-of-the-art AI technology with business applications, bringing real products to society. AI is the foundation for building a smarter and better life for people everywhere. We will discuss all the elements required to make the building blocks of AI technology into superior applications that can improve our daily lives. In our experience, technological progress greatly reduces the economic barriers required for innovation, but the courage required for great or superb work has never been reduced.
Bio: Leo Zhu is the Co-Founder and CEO of YITU Technology. He received his PhD in Statistics from the University of California, Los Angeles (UCLA), and was a student of Professor Alan Yuille, who is a disciple of Stephen William Hawking, specializing in statistical modeling of computer vision and artificial intelligence (AI).
Leo was a post-doctoral fellow at Massachusetts Institute of Technology’s (MIT) AI laboratory, specializing in the study of brain science and computational photography. He was also a research fellow at the Courant Institute of Mathematical Sciences at New York University, helmed by Yann Lecun, who is renowned by being founder of deep learning.



Keynote 8: How Does AI Enhance Happiness?

Hua Su
Kuaishou Inc.

Abstract: As a short-video platform with approximately 5 billion videos and hundreds of millions of users, Kuaishou aims to provide all its users with the upmost possible attention and help them to get noticed by the entire world, thus to eliminate their loneliness and enhance happiness. With the help of AI technologies, Kuaishou has the power of allowing machines to comprehend videos, understand users and match big data. It has achieved the capability of pairing enormous video contents with viewers and spreading attention to everyone like sunshine. In the future, Kuaishou will further its exploration in the AI field while promoting the popularization and inclusiveness of AI to enhance the happiness for more users with video recording.
Bio: Su Hua is the Founder and CEO of Kuaishou Technology. Su Hua graduated from School of Software of Tsinghua University, who has been devoted to the application of machine learning and AI in the field of the Internet. He worked at Google and Baidu, where he focused on several projects, such as Confucius Question-Answering project and the core system of Phoenix Nest, etc. Kuaishou is the zealous coder and entrepreneur’s third start-up. By using state-of-the-art techniques including machine learning and video understanding,Kuaishou has grown to be the largest life-sharing platform in China with over 100 million daily active users and 15 million pieces of user generated video per day.



Keynote 9: In the Mood for AI

Xiao'ou Tang
Chinese University of Hong Kong

Abstract: Based on the research experience at the Chinese University of Hong Kong and the industrial development at Sensetime, a leading AI company China, Professor Tang will discuss why fundamental research and innovation is important for AI advancement in China and how industrial application can benefit academic research.Prof. Xiao’ou Tang is founder of SenseTime, a leading aritifical intelligence (AI) company focused on computer vision and deep learning.
Bio: Prof. Tang is considered one of the most influential AI scientists. He is a professor at the Department of Information Engineering at the Chinese University of Hong Kong. He serves as the Associate Director of the Shenzhen Institute of Advanced Technology of the Chinese Academy of Science. Previously, he was the Director of Visual Computing at Microsoft Research Asia from 2005 to 2008.
Professor Tang received the Best Paper Award at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in 2009. His work on facial recognition became the first facial recognition algorithm to surpass human performance. The work was awarded the Outstanding Student Paper Award at one of the most prestigious AI conferences, the AAAI, in 2015. Professor Tang is also an IEEE fellow, a program chair of the IEEE International Conference on Computer Vision (ICCV) in 2009, and a general chair of the ICCV in 2019. He currently serves as the Editor-in-Chief of the International Journal of Computer Vision (IJCV), one of the two leading journals on computer vision.
Professor Tang received a Ph.D. degree from the Massachusetts Institute of Technology in 1996. He holds an M.S. degree from the University of Rochester and a B.S. degree from the University of Science and Technology of China.



Keynote 10: 人工智能助力未来发展

Yu Hu

Dr. Yu HU, CEO and co-founder of iFlyTek, State Council special allowance expert, executive director of the National Engineering Laboratory for Speech and Speech Processing, winner of China Outstanding Youth Science and Technology Talent Award, member of the State Experts Project, adjunct professor and PhD advisor with the University of Science and Technology of China, chief scientist of the 863 Humanoid Intelligence Key Project of the Ministry of Science and Technology, executive director of the Chinese Information Society; and vice chairman of the Chinese Association for Artificial Intelligence.



Keynote 11: AI at Didi Chuxing

Jieping Ye
DiDi Chuxing Inc.

Abstract: Didi Chuxing is the world’s leading mobile transportation platform that offers a full range of mobile tech-based mobility options for nearly 400 million users across more than 400 Chinese cities. Every day, Didi's platform generates over 70TB worth of data, processes more than 9 billion routing requests, and produces over 13 billion location points. This talk is about how AI technologies have been applied to analyze such big transportation data to improve the travel experience for millions of people in China.Dr. Ye joined DiDi in 2015 from his position of a tenured professor at University of Michigan. Dr. Ye leads DiDi’s big-data research team of several hundreds of machine-learning scientists and engineers on developing innovative solutions for the world’s largest transportation platform.
Bio: Dr. Ye holds a Ph.D. degree in Computer Science from University of Minnesota at Twin Cities. He is a globally recognized expert in machine learning, data mining and big data analytics. He has won the best paper awards at top international conferences including ICML and KDD. He serves as a chair or area chair of top international conferences including NIPS, ICML, KDD, SDM, ICDM, and IJCAI, as well as an editorial board member of premier international journals including IEEE TPAMI, DMKD, and IEEE TKDE.