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.

Jian Zhao is the director of the EVOL (Multimedia Cognitive Learning) Lab at China Telecom’s Artificial Intelligence Research Institute (TeleAI), and a senior research scientist working under Professor Xuelong Li, who serves as CTO and Chief Scientist of China Telecom Group and Director of the AI Research Institute. He received his Ph.D. in 2019 from the National University of Singapore, supervised by Professor Shuicheng Yan. His research focuses primarily on AI for critical security scenarios and AI governance. He has published 41 papers in CCF-A level international journals and conferences. As first author, his representative works include 2 papers in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI, impact factor 20.8), 3 papers in International Journal of Computer Vision (IJCV, impact factor 11.6), and a paper in ACM MM, which received the only Best Student Paper Award (1 out of 208) in 2018. He is also the first inventor of 5 granted national invention patents. His work has been cited over 4,900 times on Google Scholar, with an H-index of 40 and an i10-index of 67. He was selected for the first cohort of the Central SOEs (State-Owned Enterprises) Leading Tech Talent Program, where he served as class president and temporary Party branch secretary. He has also been recognized in the Young Talent Support Program by the China Association for Science and Technology and the Beijing Association for Science and Technology. He has led or participated in seven projects, including NSFC General Programs and defense-related ministry-level projects. His research achievements have been adopted by several important national agencies and applied in seven leading tech enterprises including China Telecom, generating notable impact. He has received numerous awards, including the 2023 Wu Wenjun Outstanding Youth Award in Artificial Intelligence from the Chinese Association for Artificial Intelligence, the 2022 First Prize of the Wu Wenjun AI Natural Science Award (ranked 2nd among five recipients), the 2019 Lee Hwee Kuan Award from the Pattern Recognition and Machine Intelligence Association (PREMIA) in Singapore (1 of 6 recipients), and has won first place in eight major national and international AI competitions. He currently serves as a board member of the Beijing Society of Image and Graphics and as an editorial board member of the international journal Pattern Recognition.

Pan Zhou is currently a multimodal foundation model algorithm expert in the Base Model Department at Li Auto. He holds a Ph.D. from the University of Science and Technology of China and has previously worked as an algorithm researcher at iFlytek, Sogou, and Tencent, focusing on speech recognition technologies. His research interests include speech recognition, voice interaction, multimodal understanding, and large multimodal models.

Rui Tang is the Chief Scientist at Kujiale (Coohom) and holds a Ph.D. from the University of Bath, UK. He currently serves as a committee member of the Professional Committee of the China Society of Graphics, and as an executive committee member of the Symposium on Computer Graphics and Mixed Reality. He was jointly advised by Professor Gang Chen, Vice President of Zhejiang University, and Professor Darren Cosker, Fellow of the Royal Academy of Engineering (UK). His research focuses on computer graphics, artificial intelligence, and embodied intelligent perception. He has published over 20 papers in top-tier academic conferences and journals such as ACM TOG, ECCV, CVPR, SIGGRAPH, and SIGGRAPH Asia. He holds 57 granted patents in China and the United States and serves as a reviewer for journals in computer science and AI, including ACM TOG and Nature sub-journals.

Dr. He Wanqing is currently the Vice President of Qingcheng.ai. He previously served as Senior Director at Biren Technology, where he was responsible for Turnkey systems and application optimization. His past roles include Chief Engineer at Intel DCAI, Head of High-Performance Computing at Alibaba Cloud and Senior Technical Expert, CTO of 360 Cloud, and R&D Manager at Motorola and Guodian Power. Dr. He graduated from Shanghai Jiao Tong University in 1999 and has devoted the past 25 years to HPC parallel optimization, cloud computing, and AI application performance tuning. He has also invested significant time in fostering industry-academia-research collaboration within the China Computer Federation (CCF). He has served as a CCF Executive Committee Member, Standing Committee Member of the CCF High Performance Computing Technical Committee, Vice Chair of CCF YOCSEF Headquarters, Vice Chair of ACM Hangzhou, and Chair or Committee Member of the Enterprise Track of the CNCC 2022, 2023, and 2024 Technical Forums. He has been awarded numerous honors, including CCF Honorary Member, CCF Distinguished Speaker, and CCF Outstanding Contribution Award. He has authored three books on parallel development and cloud computing, translated and published five books on the internet, popular science, and engineering technology, and received the 40th Anniversary Outstanding Contribution Award from the Publishing House of Electronics Industry as well as the 2024 Best Translator Award from Cheers Publishing.

Dr. Dawei Leng is the Deputy Director of the 360 Artificial Intelligence Research Institute and Head of Multimodal Research. He is also a board member of the China Society of Image and Graphics. Leading his team, he focuses on cutting-edge algorithm research and industrial applications in areas such as multimodal and cross-modal learning, large models with zero/few-shot learning, Chinese text-image cross-modal learning, open-world object detection, open-vocabulary video analysis, AIGC image generation, and multimodal large models. Committed to developing industry-leading technologies, he guides business directions and creates practical value. His research outcomes have been applied across 360 Group’s full range of business scenarios, including security big data, internet information distribution, enterprise digitalization, and AIoT. These technologies support tens of millions of hardware devices and serve hundreds of millions of users.

Responsible for multimodal reasoning, multimodal reward models, and unified understanding-generation tasks. The **Skywork-R1V** series for multimodal reasoning has accumulated nearly 100K downloads on Hugging Face within a single month.

Graduated with a Master's degree from the Institute of Computing Technology, Chinese Academy of Sciences. Currently serving as a Technical Expert at Alibaba's Taotian Group and the Chief Architect of the MNN team, he is responsible for the architecture design and performance optimization of the high-performance on-device AI inference engine MNN (12.5k stars) and its large model optimization branch, MNN-LLM. He leads the evolution of the MNN core engine and guided the team to win first place in the 2024–2025 IEEE AICAS LLM Performance Optimization Competition using MNN-LLM. His work focuses on advancing the efficient deployment and real-world application of cutting-edge AI models on mobile, IoT, and other edge devices.

He graduated from the University of Texas with a master's degree in software engineering in 2017, and has been engaged in NLP-related research since graduation, focusing on model training and application landing. He joined Smart Spectrum AI in 2023, and is responsible for CodeGeex code model, Embedding model training, and led the landing of CodeGeeX project-level intelligent Q&A, connected search and other functions. Currently, he is in charge of cutting-edge algorithm development in CodeGeeX team, aiming to promote the innovation and application of big model technology in the code field.

Yingfeng Chen is the Head of the Fuxi Robotics Algorithm Division at NetEase and the technical lead for the construction machinery robotics business. His research focuses on robotics, reinforcement learning, and game AI. He received his Ph.D. from the University of Science and Technology of China (USTC), during which he participated in multiple RoboCup World Championships and won the world champion title in the service robot category in 2014. He was also involved in the development of the USTC “KeJia” robot series. Previously, he led reinforcement learning research at NetEase Fuxi, where he creatively applied cutting-edge reinforcement learning techniques to game AI and automated game testing, with successful deployment across several NetEase games. Currently, he is responsible for the R\&D and algorithm innovation of multiple construction machinery robots, including excavator robots and unmanned loaders. He has published over 60 papers in top AI and robotics conferences such as NeurIPS, IJCAI, AAAI, and ICRA, and received the Best Paper Award at ASE 2019. He has served as a long-term reviewer for conferences including NeurIPS, AAAI, and ICRA. He holds over 50 granted national invention patents and has been selected for the Hangzhou Young Science and Technology Talent Training Program and honored as a “Binhjiang District Outstanding Young Science and Technology Talent.”

Heng Zhang is currently a Senior Algorithm Expert at Xiaomi Corporation. He received his Ph.D. in Computational Biochemistry from Imperial College London in 2018. He has published over 10 first-author or co-authored papers in top-tier international journals and conferences such as CVPR and ICCV, and holds more than 15 patents. His research interests span multimodal large language models, low-power super-resolution, low-level vision enhancement, and next-generation image signal processing systems. From 2023 to 2024, he led his team to win a total of five championships in CVPR competitions over two consecutive years. He excels at translating academic research into mature algorithmic products, and has played a key role in successfully deploying Xiaomi’s vision algorithms on chip platforms. He has been recognized as a Marie Curie Research Fellow by the European Commission and a Global Scholar jointly supported by MIT and Imperial College London. He was selected as a Shenzhen High-Level Overseas Talent and, since 2024, has served as a Chair Professor of Artificial Intelligence at Beihang University (Beijing University of Aeronautics and Astronautics).

Holds a Master’s degree in Computer Science from Fudan University and is a seasoned expert with over a decade of experience in the field of artificial intelligence. With deep expertise in machine learning and computer vision, he has served as a technical lead in core algorithm teams at leading companies such as Alibaba Xinhua Zhiyun, Tencent OVBU, and ByteDance AILab. He is currently the Head of Intelligent Content Creation Technology at Bilibili, where he is driving the transformative application of generative AI in the content industry.

Postdoctoral researcher at the Natural Language Processing Lab of Tsinghua University, with a research focus on efficient large model architectures. He has published over ten papers in top-tier international AI conferences as first author or co-first author, and is a primary contributor to MiniCPM-4, an efficient edge-side large model. His work has been cited over 3,000 times on Google Scholar. He has received several prestigious honors, including the First Prize of the Qian Weichang Award for Science and Technology in Chinese Information Processing, the Postdoctoral Innovative Talent Support Program, the Tsinghua Shuimu Scholar title, and the Outstanding Scholarship of the Tencent Rhino-Bird Elite Talent Program.