Title: Some Recent Gems in AI Theory

Abstract:Theoretical thinking has always played a pivotal role in the progress of artificial intelligence. In this talk we discuss some recent examples of fresh theory thinking which either notably improves data sample efficiency, offers insights into large model scaling, or succeeds in applying AI to other sciences.

BIO: Andrew Chi-Chih YAO，World-renowned computer scientist, recipient of the Turing Award in 2000 and the Kyoto Prize in 2021. Yao received a PhD degree in Physics from Harvard, and PhD degree in Computer Science from the University of Illinois. He served on the faculty of MIT, Stanford, UC Berkeley and Princeton University before joining Tsinghua University in 2004. There he created an elite undergraduate CS program (Yao Class) in 2005, the Institute for Interdisciplinary Information Sciences (IIIS) and the Center for Quantum Information (CQI) in 2011. During 2018-2020 he established the Nanjing Turing AI Institute, Xian Interdisciplinary Core Technology Institute, and the Shanghai QiZhi Institute, aiming at cutting-edge research in Artificial Intelligence. Yao is a member of the Chinese Academy of Sciences, a foreign member of the US National Academy of Sciences and the American Academy of Arts and Sciences.

Keynote: The Future of Computer Science

Abstract:Computer Science is changing. During my career, it was focused on making computers useful. Today computers are useful and the focus is on what they are being used for. This talk will be on computer science theory that will be important in the future.

BIO: John Hopcroft is the IBM Professor of Engineering and Applied Mathematics in Computer Science at Cornell University. After receiving both his M.S. (1962) and Ph.D. (1964) in electrical engineering from Stanford University, he spent three years on the faculty of Princeton University. He joined the Cornell faculty in 1967, was named professor in 1972 and the Joseph C. Ford Professor of Computer Science in 1985. He was honored with the ACM Turing Award in 1986. He is a member of the National Academy of Sciences, the National Academy of Engineering and a fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science, the IEEE, and the ACM. In 1992, he was appointed by President Bush to the National Science Board, which oversees the National Science Foundation, and served through May 1998. In addition to these appointments, Hopcroft serves as a member of the Scientific Advisory Committee for the David and Lucile Packard Fellowships in Science and Engineering, the SIAM financial management committee, IIIT New Delhi advisory board, Microsoft's technical advisory board for research Asia, the Engineering Advisory Board, Seattle University, and the program committee for Chile Millennium Science Initiative.

Keynote: 为机器立心， 迈向通用人工智能

BIO: Song Chun Zhu is a globally well-known Computer Vision scientist, Statistician and Applied Mamathematician, and artificial intelligence expert. In 1991, he earned his B.S. in Computer Science from the University of Science and Technology of China. In 1996 he got his PhD in Computer Science under David Mumford's supervision, Fields Medal Winner, American National Medal of Science Winner, and the International Mathematical Union's former president. He has published more than 300 papers in top international journals and conferences, has won the Marr Prize, the top award in the Computer Vision field, three times, and has twice served as the general chair for the Conference on Computer Vision and Pattern Cognition (CVPR) in 2012 and 2019. He contributed significantly to cognitive science, such as visual common sense reasoning and scene understanding. Since 2010, he twice served as Principal Investigator for Multidisciplinary University Research Initiative (MURI) program, which supported research teams whose research efforts intersect the Vision, Cognitive Science and AI fields. He has a strong foresight in scientific research and ultra-sensitive olfaction on scientific research direction and methodology. Moreover, he has committed to formulating a unifying framework for Computer Vision, Cognitive Science and Artificial Intelligence. In 2002, Zhu joined UCLA, served as a professor in the Department of Statistics and Computer Science, and became the Director of the UCLA Center for Vision, Cognition, Learning and Autonomy Director. In September 2020, he returned to China and established Beijing Institute for General Artificial Intelligence, serving as founding dean. He was appointed the dean of the School of Artificial Intelligence at Peking University and the Institute for Artificial Intelligence at Peking University. He serves as a Chair professor for both Peking University and Tsinghua University.

Keynote: 6G通感算融合发展问题

BIO: 通信网络领域专家，军事科学院研究员，中国科学院院士，博士生导师。长期从事通信网络理论方法研究、体系结构设计和技术应用等方面研究，主持完成多项国家和国防重点科研与工程建设项目，获国家和省部级科技进步奖多项。目前主要研究方向为物联网和卫星通信技术。中国通信学会常务理事，中国电子学会常务理事与物联网专家委员会主任委员，全国信息技术标准化技术委员会物联网分技术委员会主任委员，物联网学报主编等。

BIO: 鄂维南，中国科学院院士，美国数学学会、美国工业与应用数学学会、英国物理学会Fellow。北京大数据研究院院长。1982年获中国科技大学学士学位。1985年在中国科学院获硕士学位。 1989年在美国加州大学洛杉矶分校获博士学位。1989年到1994年在纽约大学柯朗研究所和普林斯顿高等研究院从事研究工作。1994年成为纽约大学柯朗研究所终身教授。 1997年晋升为正教授。1999年起转任普林斯顿大学数学系和应用数学研究所教授。
研究领域为应用数学。在数学、应用数学、物理、化学、力学等领域的顶级会议上应邀作过邀请报告。
2003年获国际工业与应用数学协会科拉兹奖。2009年获美国工业与应用数学学会克来曼奖。2014年获美国工业与应用数学学会卡门奖。2019 年获得 美国工业与应用数学学会和ETH 共同颁发的Henrici Prize. 2020年获ACM Gordon Bell Prize.

Keynote: Human-inspired Robotic Systems

Abstract:Realizing high performance of ordinary robots is one of the core problems in robotic research, which is also the main bottleneck of their wide application in advanced manufacturing. Based on the mechanism that humans can realize extraordinary overall performance that is better than the independent performance of each body unit, by mimicking neural mechanism and motion structure of human, human-inspired robots are expected to be a promising avenue to improve the performance of robotic systems with limited sensor precision and repeatable precision. This report will briefly introduce the preliminary research progress of human-inspired robots conducted by our research team, hoping to bring inspiration to the future research of humanoid robots.

BIO:Hong Qiao is academician of Chinese Academy of Sciences, research fellow from Institute of Automation, Chinese Academy of Sciences. Now she serves as the director of the State Key Laboratory of Multimodal Artificial Intelligence Systems, the chairman of World Robot Cooperation Organization, member of IEEE Fellow committee (responsible for electing IEEE Fellow) and director of the Technical Committee on Robotic Intelligence of Chinese Association of Automation. She is IEEE Fellow, and she was the first scholar in the Chinese mainland to be elected and re-elected of the Administrative Committee Member of IEEE Robotics and Automation Society (the world’s largest technical professional organization of robotics and automation, including 15,000 members, 18 committee members).
Hong Qiao is an expert and academic leader in robotic theory and application. She has made systematic, creative and important contributions to Perception, Cognition, Control and New Structure Design of Human-Inspired Robotic Systems. She discovered and proposed methods to systematically find high-dimensional "Attractive Regions in Environment" (ARIE) (known as "Qiao’s concept"). Her research works have been awarded many top prizes including the Second Prize of the National Natural Science Award (the highest fundamental research award in China) and the First Prize of Chinese Association of Automation Technology Invention Award (both ranking first).

BIO: David Mumford (Born in 1937) is an internationally renowned mathematician known for his work in algebraic geometry, computer vision, and the study of pattern theory. He has won Fields Medal, Wolf Medal, MacArthur Genius Award and other awards, and in 2010 he was awarded the National Medal of Science (equivalent to the highest national science and technology award in China). He is currently a University Professor Emeritus in the Department of Mathematics at Harvard University and the Department of Applied Mathematics at Brown University. During his tenure as the chairman of the International Mathematical Union (IMU) from 1995 to 1998, he promoted the holding of the 2002 International Congress of Mathematicians (ICM) in Beijing, and he has long-term attention and research on the history and culture of China's science and technology.

Keynote:JD Retail's Digitization Technology and Prospects

Abstract:

BIO: Mr. Shang Xin joined JD.com in 2007 and is currently the Vice President of JD Group, the head of JD Retail Technology R&D and Data Center, and the Chairman of JD Retail Technology Committee. He has more than ten years of experience in managing large-scale R&D teams and has participated in the construction and management of JD’s core e-commerce business systems. He is committed to promoting the precipitation of the central capabilities of the retail technology R&D system to achieve intensive sharing of R&D resources.

Keynote:Knowledge Enhanced Large Language Model

Abstract:

BIO: Haifeng Wang served as the president of the Association for Computational Linguistics (ACL) in 2013 and he is the founding chair of ACL’s Asia-Pacific chapter. He is currently an ACL fellow, an IEEE fellow, a CAAI fellow and an academician of International Eurasian Academy of Science. Dr. Wang is the Vice Chairman of the Chinese Institute of Electronics, Chinese Information Processing Society of China and Chinese Society of Engineers, etc. He was awarded the National Technological Invention Award, National Science and Technology Progress Award, China Patent Golden Award, Guanghua Engineering Science and Technology Award, and the Outstanding Contribution Award of Wu Wen Jun AI Science and Technology Award.

Keynote: MaaS，云智时代的AI新范式

Abstract: MaaS，云智时代的AI新范式 概要：在云计算和智能一体的时代面前，MaaS 、PaaS 、IaaS成为了新型数字化基础设施的重要组成部分。社会千行百业在智能化的进程中，需要基础模型、行业知识、数据集成、应用部署与服务这几大要素，为此阿里云分别提供了魔搭、企业专属模型平台、灵积部署服务来满足各类客户需求。本报告中将会通过几个案例来阐述，魔搭是如何让各行各业可以随意挑选需要的模型的，企业专属模型平台是如何降低模型使用门槛的，灵积部署服务如何支持大模型公司商业化的。

BIO:

Keynote:Building Strong AI Foundations, Pioneering the Era of Intelligence

BIO: As President of Huawei Ascend Computing Business, Mr. Zhang oversees the R&D, product management, and ecosystem construction, to marketing, technical sales, and delivery for the division. His mission is to build an easy-to-use Ascend AI software and hardware platform bolstered by standout performance. Ascend works closely with partners throughout the industry through its "open hardware, open source software, partner enablement, and talent development" initiatives, with the goal of developing groundbreaking foundational models derived from computing power. Mr. Zhang joined Huawei in 2006, bringing a wealth of experience, and has since held key positions like General Manager of Ascend Data Center Business, Director of Government & Enterprise Data Center Solution Sales Dept (Beijing Rep Office), as well as Director of the IT Product Line (Hangzhou Branch), KunLun Development Dept., and Server Solution Dept.