生成式人工智能正深刻重塑知识生产与科学发现的方式。AI已从单纯的研究对象演变为参与假设生成、实验探索及证据分析的“研究伙伴”。随着内容生成成本降低，科研与教育的核心瓶颈正向验证、反馈与判断能力转移。如何在AI深度介入的环境下培养具备批判性思维的专业人才，成为全球学术界关注的焦点。
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日在成都联合举办CNCC 2026国际论坛“AI for Research & Education: Reshaping Talent and Discovery in the Asia-Pacific”。论坛将汇聚亚太地区学者与产业专家，围绕计算机教育改革、AGI时代大学教育、AI驱动科学发现及人机长期协作等议题展开研讨，探索AI时代人的价值与成长路径。
论坛基本信息
论坛时间：
2026年10月24日 13:30-17:30（UTC+8）
论坛地点：
成都西博城4号馆-411
论坛名称：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？（AI for Research & Education: Reshaping Talent and Discovery in the Asia-Pacific）
日程安排：
嘉宾阵容及演讲主题
致辞嘉宾
论坛联合主席
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.
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.
Talk 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.
特邀演讲嘉宾
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.
Talk Title: Uncomfortable Questions for the AI Era
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 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.
Talk 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.
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 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.
Talk 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 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.
Talk 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.
开幕与闭幕致辞
Opening & Closing Remarks
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.
10月24日，期待与大家相聚在成都CNCC 2026现场，共话AI如何重塑科研与教育的未来，探索人才培养与科学发现的新可能！