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.

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.

Graduated with a Master’s degree from Harbin Institute of Technology, currently serving as a Senior Technical Expert at Tencent Hunyuan, leading the application algorithm team. Responsible for driving the deployment of Hunyuan large models across Tencent, supporting applications in advertising, social networking, entertainment, education, and customer service, with a focus on optimizing performance at the application layer. His research interests include complex reasoning with large models, multi-turn dialogue, translation, RAG, and agent technologies. He has published dozens of papers at top conferences such as ACL, AAAI, EMNLP, COLING, and CVPR. Under his leadership, the team has achieved first place in multiple tracks of the WMT translation competition.

Yang Chen is the Server-Side Technical Lead of Coze Compass and a Technical Expert at the AI Platform department of ByteDance. He built the AI AgentOps platform from the ground up (0–1), supporting AI applications across multiple business lines including ByteDance Flow, TikTok, e-commerce, and Dongchedi. He continuously tracks the latest trends and innovations in AI application development platforms and possesses deep insights into AI application deployment and performance optimization. He has led and actively contributed to the open-source Coze & Coze Compass projects, which received strong community attention with GitHub stars exceeding 11k for `coze-studio` and 4k for `coze-loop` in the first week of launch, and he is deeply involved in building and fostering the open-source community.

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.

Yi Wu, Assistant Professor at Institute of Cross-Information Studies, Tsinghua University, was a full-time researcher at OpenAI before returning to China, with research interests in deep reinforcement learning, multi-intelligent body learning, inference models, human-computer interaction, etc. He received his Ph.D. degree from the University of California, Berkeley, USA, under the supervision of Prof. Stuart Russell in 2019; and he received his undergraduate degree from the Institute of Cross-Information Studies, Tsinghua University, China, in 2014. Experimental Class of Computer Science (Yao class), representative works include reinforcement learning generalizability early work Value Iteration Network, multi-intelligence body learning highest citation algorithm MAPPO/MADDPG, OpenAI multi-intelligence body hide-and-seek project, etc., and has also won the top conference NIPS2016 best paper award and the ICRA2024 best demo award finalist.

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.

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.”

Xu Chen is a tenure-track Associate Professor and Ph.D. advisor at the Gaoling School of Artificial Intelligence, Renmin University of China, and the recipient of the National Science Fund for Excellent Young Scholars (NSFC Excellent Young). He received his Ph.D. from Tsinghua University, studied as a visiting scholar at the Georgia Institute of Technology (USA), and conducted postdoctoral research at University College London (UK). His primary research interests include large language models, reinforcement learning, recommender systems, and causal inference. He has published over 100 papers in top international conferences and journals, including The Web Conference, SIGIR, KDD, ICML, NeurIPS, ICLR, and AIJ, with more than 10,000 citations on Google Scholar. He has received five Best Paper Awards or nominations at leading international conferences (The Web Conference 2018, CIKM 2022 Resource, SIGIR-AP 2023, MM Asia 2024, AIRS 2017). His honors include the CCF Natural Science Award (Second Prize, ranked 2/2), the Qian Weichang Young Innovation Award from the Chinese Information Processing Society of China, the ACM Beijing Rising Star Award, and the CAAI Social Computing Young Scholar Rising Star Award. His research has been widely applied in industry, and he was awarded Huawei’s Innovation Pioneer President’s Award (First Prize).

Dan Zhang received her Ph.D. in Computer Architecture from Xi’an Jiaotong University in March 2006. She is currently the Director of Localization and Perception Algorithm Development at Uisee Technology, where she leads the team in building the core localization and perception modules of the U-Drive intelligent driving system. Before joining Uisee Technology, she worked at Intel China Research Institute, conducting research in robotics, compiler technologies, and big data. She has over 15 years of experience in R&D and team management.

Jun Zhang is currently a Senior Engineer at Baidu and one of the maintainers of the PaddlePaddle open-source community. He has been a long-term contributor to open source and previously served as a member of the Technical Supervisory Committee of the OpenAtom Open Source Foundation. Zhang Jun holds over 50 invention patents in the fields of natural language processing, cloud computing, and deep learning.

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).

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.

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.