QbitAI MEET2027 Intelligent Future Conference Opens Registration, First Batch of Star Speakers Announced

Front-row seats! MEET2027 registration channel officially opens, first batch of heavyweight guests in place

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In 2026, AI is moving from "being able to chat" to "being able to get work done." As models begin to call tools, execute tasks, and embed themselves in organizational processes, the wall between intelligent technology and industry is being torn down.

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The engineering implementation of large models and Agents, the large-scale entry of embodied intelligence, the management restructuring of AI-native organizations, and the deep-water propositions of enterprise digital-intelligent transformation—these most worth-pursuing questions of this year will be repeatedly dissected in a day of high-density collision.

Academic frontiers and commercial implementation share the same stage, and the latest achievements from the front lines of Infra, models, products, and industry are showcased here in a concentrated manner.

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Dean of the Wuhan Institute of Artificial Intelligence, Chairman of Zhongke Zidong Taichu, and a position professor at the School of Artificial Intelligence of the University of Chinese Academy of Sciences; concurrently serves as Secretary-General of the Multimodal Artificial Intelligence Industry Alliance and head of WG7 Intelligent Products and Services of the Ministry of Industry and Information Technology's Artificial Intelligence Standardization Technical Committee. He has long been engaged in research on multimodal large models, video understanding and retrieval, and large-scale visual recognition, and is an authoritative expert in the field of multimodal general large models in China, and a 2025 Forbes China "AI Influential Figure."

He has cumulatively published more than 300 papers in IEEE series authoritative journals and top international conferences, including more than 50 journal papers and more than 220 top international conference papers; led the promotion of 13 national standard proposals, obtained 36 authorized invention patents, and won championships in top international visual algorithm competitions 10 times. He has successively won the World Artificial Intelligence Conference SAIL Outstanding Leader Award, the Wu Wenjun Artificial Intelligence Science and Technology Progress Second Prize, the Beijing Science and Technology Progress First Prize, the Beijing Natural Science Second Prize, the Hubei Province Science and Technology Progress Second Prize, the China Invention and Innovation Silver Award, the Zu Chongzhi Award, and the New Era China Economic Innovation Figure, among others, and was selected into the Chinese Academy of Sciences "Keyuan Mingjiang" team.

Professor Fang Yue is Director of the AI and Management Innovation Research Center at China Europe International Business School (CEIBS) and Founding Executive Dean of the Shenzhen Silicon-based Management Innovation Research Institute. Professor Fang received a PhD in Decision Science and a Master's in Operations Research from MIT, and a Bachelor's in Applied Mathematics from Tsinghua University. He has long been deeply engaged in AI organizational change, enterprise digital-intelligent transformation, and management decision innovation, with experience in international academic research, Silicon Valley finance, and corporate strategic consulting. He initiated the establishment of the CEIBS Digital Economy and Smart Enterprise Research Center and led the founding of the CEIBS AI and Management Innovation Research Center, focusing on the evolutionary path of enterprises from AI tool application to AI-native organizations, and promoting the integration of management theory, transformation methods, and industrial practice. He is the author of "Digital Leadership," "Super Intelligent Entity: The Infinite Evolution of the Enterprise's Future," "Super Intelligent Entity Launch Guide: Enterprise AI Transformation Action Manual," and others, and also continuously provides research and practical support for AI transformation in industries such as technology, high-end manufacturing, automobiles, and finance.

Fang Han

Chairman and CEO of Kunlun Tech

Graduated from the Department of Modern Physics of the University of Science and Technology of China, and previously worked at the Institute of High Energy Physics of the Chinese Academy of Sciences, Turbolinux, AsiaInfo, and Oak Pacific Interactive. In March 2008, he assisted Mr. Zhou Yahui in founding Kunlun Tech.

Mr. Fang Han has 30 years of Internet industry experience. Since 1994, he has participated in and advocated the open-source movement. He is a founder of Chinese Linux and one of the "Four Swordsmen of Chinese Linux," and authored China's first Linux book, "Linux Practical Encyclopedia." He is also one of China's earliest cybersecurity experts, once responsible for full-network security audits for the three major telecom operators, led the development of China's first P2P download software DUDU Accelerator, and was responsible for developing the web game "Three Kingdoms Winds and Clouds," which had the highest market share in China. He is one of China's most senior participants in the Internet.

Wang Yunhe

Founder and CEO of Jiyuan Ludong

Undergraduate at Xidian University, PhD from the Department of Intelligent Science at Peking University. He has published more than 200 papers with over 40,000 Google Scholar citations. He previously served as Director of Huawei Noah's Ark Lab. In April 2026, he founded Jiyuan Ludong, proposed "Agent = Base Models + Harness," and launched the OpenSquilla runtime, the NeoHorse-1 series models, and the TokenRhythm API platform.

Liao Wenlong

Founder and Chief Technology Officer of Kuwa Technology

PhD from Shanghai Jiao Tong University, an expert in the field of robot algorithms and systems. In 2015, he co-founded Kuwa Technology and has long served as the company's core technical leader. He has led the design of multiple consumer-grade and industrial-grade robots, promoted the R&D and mass production of AI robots, and continuously deepened full-stack technology R&D from core algorithms and software-hardware platforms to AI infrastructure, promoting the company's "one brain, multiple forms" technology system and the large-scale implementation of embodied intelligent robots in multiple scenarios. He has published 20 papers in international academic conferences and journals such as CVPR and AAAI, and holds 237 invention patents.

Zhou Erjin

Co-founder and CTO of Yuanli Lingji

Co-founder and Chief Technology Officer of Yuanli Lingji, responsible for the company's foundation model R&D and AI infrastructure development. He graduated from the Department of Electronic Engineering at Tsinghua University and won a gold medal at the International Olympiad in Informatics (IOI). Before joining Yuanli Lingji, he served as rotating president of Megvii Research, head of Megvii's face algorithm team, and head of the deep learning training framework MegEngine. Zhou Erjin has long been engaged in computer vision, artificial intelligence, and robotics R&D and product implementation. He has led teams to win championships in numerous domestic and international evaluations and competitions, including NIST FRVT and the face group of China's first Artificial Intelligence Competition. The related AI technologies have been applied to mobile phones, smart cameras, robots, and many other product categories, covering more than 10 million AIoT devices.

Lu Hongyuan

Founder of Lianpu Xinzhi

PhD from the Chinese University of Hong Kong; bachelor's and master's degrees from Imperial College London. As first author, he was the first to win the Best Paper Award at an ACL flagship conference on behalf of an Asian institution as an independent institution, with only two authors and no corporate affiliation. He is the first author and proposer of Adam's Law. He has published nearly 20 papers as first author/corresponding author at conferences including EMNLP, ACL, NAACL, EACL, and COLM. He holds 30 domestic invention patents as well as multiple PCT international patents and U.S. patents. He previously worked at Microsoft and Alibaba, where he was responsible for pretraining and AI algorithm optimization.

Xia Lixue

Co-founder and Chief Executive Officer of Infinigence AI

He received his bachelor's and doctoral degrees from the Department of Electronic Engineering at Tsinghua University. Under Xia Lixue's leadership, Infinigence AI has grown into one of the most representative high-tech enterprises in the AI infrastructure field. He has been selected for Stanford's global top 2% scientists list for five consecutive years and for the AI2000 list of the world's most influential AI scholars (Top 100 in the chip direction) for two consecutive years. He serves as a deputy to the 17th People's Congress of Xuhui District, Shanghai, and a member of the 11th Youth Federation. He has received honors including 2025 National Model Worker of the Industry and Information Technology System, Leading Talent in Artificial Intelligence of the Ningxia Computing Hub, 2025 CCTV Annual Top Ten AI Figures, 2025 Fortune 40U40 Business Elite, 2024 Forbes China Disruptive Founders of the New Era, and 36Kr WISE2024 King of Business New Generation Pioneer.

Xia Lixue has long been devoted to research on design methodology for artificial intelligence systems and has published more than 30 academic papers with over 3,500 Google Scholar citations. His work in areas such as compression and acceleration of large language models and generative AI model chips includes the world's first customized hardware design for the deep learning speech synthesis field, occupying a leading position internationally.

The above display order is not in any particular order. More heavyweight guests are being confirmed one after another! Please stay tuned.

The call for entries for the annual AI list is about to close!

The "Annual AI List" initiated by QbitAI has become one of the most influential lists in the AI industry. This year's list will select five categories of awards across three major dimensions: companies, products, and people. The results will be officially announced at the MEET2027 conference.

Selection criteria can be found at: QbitAI "MEET2027 Intelligent Future Conference" launches! Annual list call for entries in progress

How to apply

This selection will close on November 16, 2026. Please submit as soon as possible.

Web link:

The annual trend series reports will also be grandly released at the MEET2027 conference.

This year, the report will continue to focus on AI, the core direction of technological development in this era. Taking into account factors such as technological maturity, implementation status, and potential value, the "2026 Top Ten AI Trends Report" will nominate the ten AI trends that are unleashing enormous potential and provide in-depth analysis of each trend, nominating representative institutions, best cases, and more.

About the MEET Intelligent Future Conference

As an influential annual technology and business summit, the most representative technology and business leaders in the industry come to the conference every year to share forward-looking views and insights.

Each year, the conference attracts thousands of technology practitioners to participate, with millions of viewers watching online and nearly a hundred partner media outlets providing joint coverage. The MEET Intelligent Future Conference has also become an annual bellwether for the intelligent technology industry.

This year, fusion is happening. Technology roadmaps are converging, the industrial landscape is being rearranged, and investment logic is shifting gears—where these three lines intersect is exactly where breakthroughs lie. We sincerely invite the most representative enterprises and figures in technology, industry, and investment to take the stage together to discuss the path to breakthrough and jointly foresee a new chapter of intelligence.