Łukasz Kaiser is a researcher at OpenAI, previously part of the Google Brain Team. He works on fundamental aspects of deep learning. He has co-invented reasoning models (o1, o3), ChatGPT and GPT-4 and GPT-5, and co-authored Transformers and the TensorFlow system. Before that, Lukasz was a tenured researcher at University Paris Diderot and worked on logic and automata theory. He received his PhD from RWTH Aachen and his MSc from University of Wroclaw.

Mr. Li Jianzhong, Senior Vice President of CSDN, Chief Technologist of Boolan, and Chairman of the Global Machine Learning Technology Conference, has extensive experience and in-depth research on software architecture and product innovation. He has rich experience and in-depth research on software architecture, product innovation, and artificial intelligence. In recent years, he mainly researches on the application of artificial intelligence methodology in the software field based on large language models, and proposes the “ParaShift Cube” for technological innovation, which has attracted a lot of attention from the industry in the related research and speeches.

Dr. Nan Duan is currently Vice President of JD.com and Deputy Director of the JD Explore Academy, where he leads research on foundation models in language, speech, vision, and embodied intelligence. Previously, he served as a Technical Fellow at StepFun and a Principal Researcher at Microsoft Research Asia. Dr. Duan is also an Adjunct Professor and doctoral supervisor at the University of Science and Technology of China, Xi’an Jiaotong University, and Tianjin University. His research interests include natural language processing, code intelligence, multimodal foundation models, and AI agents. He has published more than 200 research papers in top-tier conferences and journals, with over 40,000 citations and an h-index of 85+. He also holds more than 20 patents.

Junlin Zhang is a director of the China Society for Computational Linguistics and holds a Ph.D. from the Institute of Software, Chinese Academy of Sciences. He currently serves as the Chief Scientist and Head of AI R&D at Sina Weibo. Previously, he was a senior technical expert at Alibaba, leading a new technology team. He is also the author of the technical books *This is a Search Engine: A Detailed Explanation of Core Technologies* and *Big Data Daily Knowledge: Architecture and Algorithms.

Yang Yu is a Professor at the School of Artificial Intelligence, Nanjing University. His research focuses on artificial intelligence, machine learning, and reinforcement learning. His work has received five international paper awards, and he has won three international algorithm competition championships. He has been selected for China’s National Youth Talent Program and named to IEEE Intelligent Systems’ “AI’s 10 to Watch.” He is also a recipient of the CCF-IEEE Young Scientist Award and the inaugural Asia-Pacific Data Mining Young Achievement Award. In addition, he was invited to deliver a Young Highlight Talk at IJCAI 2018.

Zhiwu Lu is a Professor and PhD Supervisor at the Gaoling School of Artificial Intelligence, Renmin University of China. He received his M.S. degree from the Department of Information Science, School of Mathematical Sciences, Peking University, in 2005, and his Ph.D. degree from the Department of Computer Science, City University of Hong Kong, in 2011. His research focuses primarily on machine learning and computer vision. He developed BriVL, the first publicly available Chinese general-purpose vision-language pre-trained model, and released VDT, a video generation foundation model comparable to Sora, ahead of OpenAI. For these achievements, he was named a 2024 Scientist of the Year by Nan Feng Chuang. He serves as a committee member of the CCF Bioinformatics Special Interest Group and the National Technical Committee on Radio, Film and Television Standardization. He has also served as an Area Chair for top international conferences, including ICLR and UAI.

Bin Fang is a Professor and doctoral supervisor at Beijing University of Posts and Telecommunications (BUPT), where he is recognized as a “Top-Tier Talent.” He serves as a Council Member of the Chinese Association for Artificial Intelligence (CAAI), Secretary-General of the CAAI Technical Committee on Cognitive Systems and Information Processing, an Outstanding Member of CAAI, a Standing Committee Member of the CCF Technical Committee on Intelligent Robotics, and an IEEE Senior Member. He previously taught in the Department of Computer Science at Tsinghua University. His research interests include embodied intelligence, dexterous manipulation, and foundation models for robotics. The “Tactile Dexterous Hand” developed by his team was selected for the National Science and Technology Innovation Achievements Exhibition during the 13th Five-Year Plan period. His policy consultation reports on humanoid robots and embodied intelligence were adopted by the General Office of the State Council and received instructions from central government leaders. He has received the First Prize of the Natural Science Award from the Chinese Association of Automation and the Special Prize of the World Robot Competition, among other honors.

Jian Yang is an Associate Professor at Beihang University, focusing on code large language models and intelligent agents. His research spans pre-training, post-training, collaborative generation, and evaluation. He has published over 100 papers, with more than 30 as first or corresponding author. He has served multiple times as SAC/AC for ARR (ACL, EMNLP, NAACL), Program Chair for INLG 2026, and SPC/AC for AAAI (AIA Track). His Google Scholar citations exceed 40,000.

Dr. Chunchao Guo is a Distinguished Researcher at Tencent and leads the development of Hunyuan 3D and World Models. His work focuses on the research, development, and real-world deployment of 3D generation, world models, and Agentic 3D. He has won 20 championships in leading technical competitions and published more than 30 papers at top-tier AI conferences. During his doctoral studies, he received the Outstanding Paper Award at the National Conference on Image and Graphics. Dr. Guo leads the team behind the Hunyuan 3D series, which has been applied across multiple scenarios, including gaming, social platforms, and cloud services. He also led the development of the Hunyuan World series, one of the industry's earliest open-source 3D world models. The open-source Hunyuan 3D and Hunyuan World models have surpassed 5 million downloads and gained widespread attention both in China and internationally, contributing to advances in 3D generation and world model research.

Bo Zhang is a Young Scientist at Shanghai AI Laboratory and Head of the Agent Center. His research focuses on general AI agents, multimodal reasoning large models, and their applications in autonomous scientific discovery. His work has earned him numerous awards, including the Shanghai Outstanding Young Talents Award, Shanghai Rising Star, the 2020/2021 National Scholarship, the 2019 Excellent Doctoral Scholarship of Fudan University, and various awards from VALSE China and the Shanghai Municipal Government. His research has also contributed to industrial applications such as airport checkpoint security recognition and Robosweeper. Throughout his academic career, Bo Zhang has published more than 50 papers in top-tier venues such as CVPR, ICLR, ICML, ACL, T-PAMI, TIP, and IJCV. He has also won the OpenAI MLE-bench and Waymo Open Dataset Challenge for his work on multi-agent collaborative optimization and perception-decision making. He and his team are deeply committed to building foundation agents and multi-agent systems that address real-world challenges. He led the development of InternAgent and the Intern-Discovery platform, which was officially launched at WAIC 2025 and featured in MIT Technology Review and People's Daily. Using this platform, he and his team collaborated with the Lingang Laboratory to develop OriGene, leading to the successful discovery of two original biological targets: GPR160 and ARG2.

Yingran Tan is a Research Scientist at the Guangqi Research Institute of MetaX. She graduated from the Department of Microelectronics, Tsinghua University, and has long focused on research related to GPU architecture and performance optimization.

With over a decade of experience in algorithm research and development and technical management across the internet and fintech industries, Wang Yaoxuan has previously held positions at companies including AdMaster, Baidu, and Alibaba. He has long focused on areas such as computational advertising, user growth, intelligent operations, and intelligent decision-making. He is currently responsible for user growth algorithms and the development of intelligent capabilities. He led the development of the Glaucus Growth Engine, driving the establishment of a comprehensive user growth algorithm framework and intelligent operations capabilities. He also continues to explore the development of intelligent modeling systems and the large-scale application of LLM-based agents and intelligent decision-making technologies in core business scenarios, including customer acquisition, marketing, and user operations.

Zheng Yaowei is the co-founder and CTO of PrismShadow, and a Ph.D. candidate at the School of Computer Science, Beihang University. He is the author of LlamaFactory, an open-source fine-tuning framework for large language models, which has garnered over 70,000 stars on GitHub. He has published more than 10 papers in top-tier conferences and journals including ACL, CVPR, and AAAI, and serves as a reviewer for AAAI and EMNLP. He has received honors such as the Beihang Role Model Award and the Ascend Ecosystem Open Source Outstanding Contribution Award, and has been invited to deliver keynote speeches at industry summits including the AI Computing Conference and the Alibaba Apsara Conference. Currently, he leads his team in building PenguinHarness — an open-source, transparent, self-evolving agent engine designed for 1000+ models, enabling agents to autonomously complete AI development tasks and grow increasingly powerful through continuous evolution.

Responsible for the technical development and deployment of NetEase’s King Crab enterprise AI Agent platform, with a focus on AI compute resource scheduling, skill assetization, and multi-agent collaboration. The platform covers skill asset management, compute resource scheduling, and multi-agent collaborative governance, aiming to drive the evolution of AI Agents from standalone tools into organization-level collaborative platforms. He has also shared his experience in implementing cloud computing and AI platforms at numerous technology conferences in China and abroad.

Wenting Yang is a Product Expert for Alibaba Cloud’s Intelligent Messaging Service RocketMQ, where she is responsible for product planning and implementation of RocketMQ for AI Agent scenarios. She has led the transformation of RocketMQ from a traditional messaging middleware into an AI-native asynchronous communication engine, and designed and drove the large-scale adoption of the LiteTopic lightweight messaging model across large-model platforms such as Alibaba Cloud Model Studio (Bailian). Her work addresses key communication challenges in Agent systems, including long-session persistence, multi-tenant isolation and rate limiting, and asynchronous Multi-Agent collaboration. She closely follows the evolution of the MCP protocol and emerging industry architectures such as Anthropic Managed Agents, with a focus on deeply integrating messaging capabilities with Agent communication standards. She is also an active contributor to the Apache RocketMQ open-source community.