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AI时代的知识生产与教育新范式国际论坛：AI如何重塑科研与人才培养？｜CNCC 2026

cncc2026

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GAIR DAO 2026-10-16

来源：微软学术合作

文章来源：https://mp.weixin.qq.com/s/VNcm3s6dsislchTwBj8wWg

中国计算机大会（CNCC）是中国计算机学会（CCF）的旗舰会议，也是国内计算机领域具有广泛影响力的年度盛会。CNCC2026将于10月21日至24日在四川成都举行，主题为“数聚驱动，智算未来”。

今年，微软亚洲研究院（MSRA）将参与大会多项学术交流活动，并联合APAC、CCF举办 “AI for Research & Education: Reshaping Talent and Discovery in the Asia-Pacific” 国际论坛，围绕AI驱动科研、未来教育与人机协作等议题，与亚太学术界展开交流。

论坛简介

生成式人工智能正在深刻改变知识生产与科学发现的基本方式。AI正逐渐从被研究的对象，逐步演变为能够参与假设生成、实验探索、证据分析与科研协作的研究伙伴，推动科研范式与教育体系进入结构性变革阶段。如何在AI环境中，培养具备专业素养与批判性思维的研究者，已成为全球学术界共同关注的关键问题。

亚太计算联盟（APAC）、微软亚洲研究院（MSRA）与中国计算机学会（CCF）将于10月24日在成都举办CNCC国际论坛“AI for Research & Education: Reshaping Talent and Discovery in the Asia-Pacific”。论坛将邀请亚太地区的学者与产业专家，从计算机教育改革、AGI时代的大学教育、AI驱动的科学发现、人机长期协作等视角展开研讨，共同探索AI时代科研与教育中人的价值、能力结构与成长路径，促进亚太地区科研合作与人才培养的交流互鉴。

日期：2026年10月24日（星期六）

时间：13:30-17:30（UTC+8）

地点：成都西博城4号馆-411

日程安排

AI时代的知识生产与教育新范式国际论坛：AI如何重塑科研与人才培养？｜CNCC 2026

Welcome Remarks

Lidong Zhou

Corporate Vice President,

Microsoft

Managing Director,

Microsoft Research Asia

Dr. Lidong Zhou is Corporate Vice President at Microsoft and Managing Director of Microsoft Research Asia.After receiving his Ph.D. in Computer Science from Cornell University, he joined Microsoft in 2002.

He has worked at Microsoft Research laboratories in Silicon Valley, Redmond, and Asia, and has led Microsoft Research Asia since 2021.His research focuses on reliable, trustworthy, and scalable distributed systems. His work has received Best Paper Awards at ACM SOSP, USENIX OSDI, and USENIX ATC. He is a Fellow of the IEEE and ACM and has held leadership and editorial roles in major international systems conferences and journals.

ForumCo-Chairs

Zide Du

CEO, Asia-Pacific Alliance for Computing

Zide Du is a prominent leader in China’s computing and informatics community. He served as CEO of the China Computer Federation from 2004 to 2021, contributing to its institutional development and modern governance.

Earlier in his career, he conducted research on large-scale computer systems at the Institute of Computing Technology, Chinese Academy of Sciences. He served as the founding President of the International Olympiad in Informatics from 2005 to 2008 and has served as President of the National Olympiad in Informatics since 1998.Zide Du is a prominent leader in China’s computing and informatics community. He served as CEO of the China Computer Federation from 2004 to 2021, contributing to its institutional development and modern governance.

Yan Lu

Assistan Managing Director,

Microsoft Research Asia

Yan Lu is an Assistant Managing Director of Microsoft Research Asia, where he oversees research in multimedia, immersive AI, agentic AI, and human-computer interaction.His research spans real-time communication, computer vision, audio enhancement, immersive computing, and mobile-cloud computing.

Technologies developed by Yan Lu and his teams have been incorporated into Microsoft products and services, including Windows, Office, Teams, Skype, Xbox, and Azure Media Services.Before joining Microsoft Research Asia in 2004, Yan Lu led the video coding group at the JDL Lab of the Institute of Computing Technology. He has contributed to international standards including MPEG-4, H.264/AVC, H.265/HEVC, AOM AV1, and AVS.

Title: Carrying Work Forward: Toward Long-Horizon Human–AI Collaboration

Abstract:AI agents are evolving from task-specific tools into research collaborators that can help people explore ideas, conduct experiments, and analyze evidence.This talk introduces Evolving Memory and Agentic Media as approaches to supporting continuity, mutual learning, and adaptation in long-term human-AI collaboration. It will also examine trust, governance, privacy, security, and the continued importance of human direction.

Speakers

Leendert van Doorn

Technology Executive and Computer Scientist

Former Senior Vice President,

Qualcomm

Leendert van Doorn is a technology executive and computer scientist with more than three decades of experience in semiconductors, cloud computing, cybersecurity, systems software, and artificial intelligence.He has held senior technical and engineering leadership positions at Qualcomm, Microsoft, AMD, and IBM Research.

Most recently, he served as Senior Vice President at Qualcomm.He received his Ph.D. from Vrije Universiteit Amsterdam under Professor Andrew S. Tanenbaum. He has also served on the boards of the Trusted Computing Group, CXL Consortium, and Gen-Z Consortium.

Title: Carrying Work Forward: Toward Long-Horizon Human–AI Collaboration

Abstract:Generative AI is making answers, code, designs, and hypotheses easier to produce. As a result, the constraints on innovation may shift toward judgment, verification, feedback, and computing resources.This talk examines how research, education, computing, and engineering organizations may need to adapt as AI transforms established workflows and changes their most important bottlenecks.

Zhenjiang Hu

Dean and Chair Professor,

School of Computer Science,
Peking University

Zhenjiang Hu is Dean and Chair Professor of the School of Computer Science at Peking University. His research focuses on programming languages and software engineering, particularly functional programming, bidirectional programming, and system software verification.

He received his B.S. and M.S. degrees from Shanghai Jiao Tong University and his Ph.D. from the University of Tokyo.He is an IEEE Fellow, a Fellow of the Japan Federation of Engineering Societies, a member of the Engineering Academy of Japan, and a member of Academia Europaea.

Title: Reshaping CS Education in the AI Era: The “101 Plan” and PKU’s Path

Abstract:This talk explores how artificial intelligence is reshaping the content, methods, and organization of computer science education.Drawing on China’s national “101 Plan” and Peking University’s educational practices, the talk will discuss curriculum reform and opportunities to build a collaborative intelligent-education ecosystem across the Asia-Pacific region.

Chunyan Miao

Associate Vice President(Capability Building)

President’s Chair in Computer Science Fellow, Singapore Academy of Engineering Nanyang Technological University

A leading expert in Human-Centered Artificial Intelligence, Miao has made far-reaching contributions to AI research across healthcare, ageing, education, and the digital industry. She has published over 200 papers in top-tier journals and conferences. She has also received more than 20 best paper awards and AI honors, including the 2019 Singapore National Research Foundation (NRF) Investigatorship and the AAAI Innovative Application Award in both 2018 and 2020.

Miao serves on the editorial boards of several international journals. She has also served as Chair, Co-Chair, or Technical Program Committee member for many premier international AI conferences.Chunyan Miao is a Fellow of the Academy of Engineering Singapore and an IEEE Fellow.

Sue Moon

Professor,KAIST

President,KIISE,2026

Sue Moon received her B.S. and M.S. degrees in Computer Engineering from Seoul National University and her Ph.D. in Computer Science from the University of Massachusetts Amherst.She joined KAIST in 2003, and her research focuses on datacenter networking.

She has served on numerous technical committees and chaired major international conferences, including WWW 2013 and ACM CoNEXT 2017.In 2026, she serves as President of KIISE and Director General for National Strategic R&D at the National Research Foundation.

Title: University Education in the Age of AGI

Abstract:As generative AI advances toward artificial general intelligence, universities must consider changes beyond adding AI-related courses or teaching students how to use new tools.Drawing on discussions involving Korea’s National AI Strategy Committee, KIISE, and KAIST, this talk examines how curricula, teaching methods, assessment systems, and the role of faculty may need to evolve in the age of AGI.

Song Guo

Director,HKUST Center of Physical AIChair Professor, HKUST

Song Guo is Director of the HKUST Center of Physical AI and Chair Professor in the Departments of Computer Science and Engineering and Electrical and Computer Engineering at the Hong Kong University of Science and Technology.His research has contributed to the development of edge intelligence, physical AI, and machine learning systems.

He received the IEEE Edward J. McCluskey Technical Achievement Award in 2024 and more than a dozen Best Paper Awards from IEEE and ACM.He is a Fellow of the Royal Society of Canada, a Fellow of the Canadian Academy of Engineering, a Member of Academia Europaea, and an IEEE Fellow.

Title: When Solving Gets Cheap:From Accelerating Discovery to Developing Researchers

Abstract:Drawing on research in Physical AI, this talk examines how AI can accelerate the solution of complex research problems while increasing the importance of verification and human judgment.It will also discuss the “Performance–Competence Gap,” in which students and researchers may use AI to perform advanced tasks before developing the professional judgment traditionally associated with such performance.

Opening&Closing Remarks

Lily Sun

Director of Accelerator Team,

Microsoft Research Asia

Lily Sun is Director of Accelerator at Microsoft Research Asia, where she leads initiatives at the intersection of research, innovation, talent, and ecosystem development in the Asia-Pacific region. With more than a decade of experience at MSRA, she is at the forefront of exploring how AI is reshaping the way research is conducted, innovation is accelerated, and talent is cultivated.

Her team advances emerging areas including Physical AI, Societal AI, Healthcare AI, AI and Brain Science, and other cross-disciplinary frontiers, while building partnerships with universities, companies, and research institutions to turn cutting-edge research into practical applications. Her team also runs a range of global programs that support and mentor the next generation of exceptional researchers and AI-native innovators.

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