Yansong Chua is the Chief Expert of China Electronics Technology Group (CETC) and Chief Expert of Nanhu Research Institute. He holds a Ph.D. in Biology from the University of Freiburg, Germany, and a Master of Computer Science from the National University of Singapore. He has been selected as a leading talent in the “National Thousand Talents Program” and has participated in the National Key R&D Program “Brain Science and Brain-Like Intelligence” under the Ministry of Science and Technology's Science and Technology Innovation 2030 Agenda, serving as the leader for Project 2 and a key contributor to Project 6. He has engaged in the State-owned Assets Supervision and Administration Commission (SASAC) major initiative to foster future industries in brain-like computing, and has been involved in the top-level design and coordinated implementation of the “High-Performance Brain-Inspired Computing Chips and Basic Software” project, which was elevated from a local Science and Technology Commission program to a national key project. He has spearheaded major projects, such as “Constructing a Digital Brain via Large-Scale Brain Simulation”, and established original technology sources based on breakthroughs in “Brain Science and Brain-Like Research”. Executed SASAC and Science and Technology Commission innovation and industrialisation tasks, planned the top-level layout for brain-like computing, and published over 40 high-quality papers in brain science and brain-like research. He has collaborated with State Grid to launch the power industry’s first self-controllable, heterogeneous integrated brain-like computing platform and intelligent agent, capable of supporting full-scenario applications, including panoramic power inspection, equipment maintenance, and grid regulation. He has released China’s first brain-inspired medical large model, “NaoQi-SuWen” at the 2024 World Internet Conference.

Qinghai Guo is currently a Senior Researcher at the Advanced Computing and Storage Laboratory of Huawei Central Research Institute, and serves as the Project Manager for Brain-inspired Computing. He obtained his Ph.D. in Mathematics from the University of Göttingen, Germany, in 2017, and subsequently joined Huawei, where he has been engaged in research in the fields of artificial intelligence and brain-inspired computing. He has conducted in-depth research in areas such as neural network quantization, spiking neural network algorithms, DVS algorithms, machine learning theory, and brain-inspired intelligence. His technological contributions have been implemented across multiple Huawei product lines, including consumer devices, wireless networks, computing, and cloud services. Since 2021, he has held positions as the Technical Lead for Brain-inspired Algorithms and Assistant Scientist in Huawei's Computing domain. Since joining Huawei, he has filed dozens of patents and published over 30 papers in top-tier conferences and journals such as ICLR, ICML, NeurIPS, CVPR, and TNNLS. As one of the principal leads, he has participated in several major national projects, including the Science and Technology Innovation 2030 — “New Generation Artificial Intelligence” and “Brain Science and Brain-Like Research” initiatives.

Xiaoguang Hu is currently the Distinguished Architect at Baidu's Deep Learning Technology Platform Department, with primary research areas spanning natural language processing, deep learning frameworks, and AI for scientific computing. He leads the core technology development for PaddlePaddle's training framework and scientific computing capabilities, having designed the new API architecture for PaddlePaddle 2.0, which established its unified dynamic and static graph capabilities and integrated training and deployment workflows. He has also developed foundational technologies, including a highly reusable operator library and neural network compiler, to enable hardware-software co-optimization for large-scale model development, while spearheading the creation of PaddlePaddle's industry-grade open-source model library and the construction of an industrial-level deep learning open platform that has achieved widespread large-scale industrial application. His honors include the Second Prize of the National Award for Scientific and Technological Progress, the First Prize of the Science and Technology Progress Award by the Chinese Institute of Electronics, and the First Prize of the Beijing Municipal Award for Scientific and Technological Progress.

Han Li is currently the Director of Big Data and AI Application Research at China Unicom (Hong Kong) Innovation Research Institute and is recognized as an Outstanding Individual by the Ministry of Industry and Information Technology. He also acts as an Engineering Master's Supervisor for China Unicom. Previously, he held positions as General Manager of Unicom Wo Music, General Manager of the Digital Content Innovation Development Department at China Unicom Guangdong Branch, and General Manager of the Product Operations Department under the Internet Development Division. He led the Unicom Wo Music team in achieving product and business transformation, delivering a compound annual growth rate in revenue and profit exceeding 20% for five consecutive years. Under his leadership, the company was honored as one of the "Top 30 Cultural Growth Enterprises in China by 2025" by the Publicity Department and designated as the "5G AI Future Imaging Engineering Technology Research Center" by the Guangdong Provincial Department of Science and Technology. He has presided over multiple key projects, including the SASAC 5G LHT Initiative, scientific and technological innovation projects under the National Ministry of Culture and Tourism and the Guangdong Provincial Department of Culture and Tourism, as well as core technology projects for China Unicom. His research outcomes have repeatedly earned him the China Unicom Group Science and Technology Progress Award. Additionally, he contributed to the development of "38 international industry standards for 5G-A core network convergence and innovation in next-generation mobile communications" and "29 international, industry, and enterprise standards for AI technologies in digital-intelligent integration." For these contributions, he received the First Prize of the China Unicom Technology Standards Award.