Wayne Wang Co-Founder & CTO of PPIO -Founding Partner & CTO -Graduated from Huazhong University of Science and Technology -Chief Architect of PPTV -Co-founder & CTO of Jindou Telematics -LiveVideoStack core instructor -Holder of 49 patents -Successive entrepreneur In 2004, he participated in the founding of PPTV, and in 2008, he took a break from his studies at Huazhong University of Science and Technology to continue his entrepreneurship. As a member of the founding team and chief architect, he built PPTV from the first line of code, and went through many technical architecture refactoring and building of PP video cloud service until it was acquired by Suning Yuncheng. During 2014-2018, as the co-founder of Jiedou Telematics, he started a second business, during which he led the team to develop China's first in-vehicle intelligent system: Jiedou OS, as well as a series of vehicle-grade software and hardware technology research, and won the excellent rankings in the global automotive industry's unmanned driving competition, and his products served Audi, BMW, Mercedes-Benz and other internationally renowned car makers. In 2018, he co-founded PPIO with Yao Xin, the former founder of PPTV, for his third venture. Translated with DeepL.com (free version)

Bingyi Jing, Chair Professor of Statistics and Data Science, Southern University of Science and Technology, National Specially Appointed Expert, Second Prize of National Natural Science Award, Chair Professor of Changjiang Scholars of Ministry of Education, Second Prize of Natural Science Award of Higher Education Institutions of Ministry of Education, Fellow of American Statistical Association, Fellow of Institute of Mathematical Statistics, Elected Member of International Statistical Institute, Fellow of International Statistical Institute. Member of the International Statistical Institute (ISI). He is the chairman of the Multivariate Analysis Committee of the Chinese Society of Field Statistics, and has served as associate editor of seven international academic journals, including Ann Appl Probab, JBES, and Science China. His research interests include: probability statistics, data science, artificial intelligence, big models and other fields. He has published more than 110 papers in top journals and top conferences such as Ann Stat, Ann Prob, JASA, JRSSB, Biometrika, J of Econometrics, JBES, Bioinformatics, JMLR, Science China, NeurIPS and so on.

Yongbin Li, graduated from Tsinghua University, is the senior algorithm director of Alibaba Tongyi Labs, with research interests in Big Model, Code Intelligence, Dialogue Intelligence, and AI Agents, etc. He has built Big Model technologies and applications such as Tongyi Ling Code (intelligent coding assistant), Tongyi Xiaomi (intelligent customer service), Tongyi Listening and Understanding (work and study assistant), Aliyun Bailian (Big Model Application Platform), and Nail Magic Wand (intelligent office). Since 2020, we have published 60+ international top papers (ACL/EMNLP/AAAI/NeurIPS, etc.) as corresponding authors around the directions of pre-training, dialogue, code, and big models, etc.

Dr Lei Song, Principal Researcher at Microsoft Research Asia, has many years of research and practical experience in the field of artificial intelligence and industrial optimisation, focusing on the application of artificial intelligence and optimisation algorithms in the industry, especially in the fields and directions of supply chain, energy, and sustainable development. He holds several patents in related fields and has published dozens of papers in international conferences and journals. Prior to joining Microsoft, Song Lei worked in an e-commerce company responsible for the development of algorithms and system construction of intelligent supply chain system, and accumulated a lot of experience in related business areas. Currently, his main research focus is on the application of reinforcement learning in large-scale operations research optimisation problems, and he is also interested in the application of basic models in industrial scenarios, especially in knowledge management and decision support.

Jian Zhang, Co-founder of Daguan Data, Master of Computer Software and Theory of Fudan University, Senior Engineer of Artificial Intelligence, Computer Technologist, "Shanghai Science and Technology Young 35 Leaders Programme" in 2021, "Science and Technology Innovation Action Plan" in 2022, "Qixing Star Project" of Shanghai. He is the winner of "Shanghai Science and Technology Award", "Software Development Skill Pioneer" issued by Shanghai Software Industry Association, and "Pudong New Area Pearl Engineer" in 2023. He is a member of Affective Computing Specialised Committee of Chinese Information Society, Artificial Intelligence Specialised Committee of Shanghai Computer Society, Shanghai Young Scientific Talent Association, Young Director of Shanghai Citation Research Institute, Special Funds Evaluation Expert of Shanghai Municipal Commission of Economy and Information Technology. He has rich research results in the field of Artificial Intelligence, applied for more than 10 national invention patents, and participated in compiling the "Intelligent Text Processing Practical Combat". He used to work for Shanda Group and Tencent Literature, holding the position of AI and big data technology expert. Currently, he is the General Manager of Text Application Department of Dakan Data, and has rich practical experience and technical accumulation in the research and development of machine learning algorithms and natural language processing, responsible for "'Cao Zhi' Big Language Model" "Natural Language He is responsible for "Cao Zhi's Big Language Model", "Natural Language Processing Capability Centre", "Intelligent Writing Platform", "Natural Language Interaction Data Analysis Platform", "Customer Insight System", "Intelligent Official Document Processing Platform", "Intelligent Document Processing Platform", and He has developed and implemented many text application products, such as "Intelligent Official Document Processing Platform". He has won the first and second place in the world's top big data competitions, such as ACM KDD CUP, CIKM, China Law Research Cup of the Supreme Court of China, Rice Cup of the Equipment Department of the Military Commission, and the 21st Text Error Correction Evaluation for Chinese Language Learners of the University of Computing and Languages. Honours.

Lu Yilei, Founder and CEO of WhiteSea Technology. standing member of CCF Big Data Special Committee and High Performance Special Committee, Distinguished Professor of Beihang University, Chairman of China Big Data Technology Conference, and China Big Data Industry Leader in 2017. He has more than 15 years of experience in big data and AI computing platforms, and has several patents and papers related to big data and AI. He was responsible for distributed storage and high-performance computing of Lenovo.com at Lenovo Research Institute, Hadoop distributed computing related at Baidu, and the design and development of AI algorithmic platforms at Mingliu Technology. He has rich technical architecture and management experience, and has been responsible for complex and large-scale system architecture and product projects.

Hao Wang, CTO of x-square robot, PhD from Peking University. He used to be the head of big model algorithm in the team of "Fengshenbang", and co-developed and released a series of big models such as "Taiyi" and "Ziya", etc. In 2023, he co-founded x-square robot, which is dedicated to building a universal robot big model to completely liberate human hands. In 2023, he co-founded x-square robot, which is dedicated to building a universal robot model to completely liberate human's hands.

Lingxiang Wu, PhD, Associate Researcher at Institute of Automation, Chinese Academy of Sciences, and Algorithm Director at Wuhan Institute of Artificial Intelligence. He graduated from the University of Technology Sydney with a degree in Computer Vision and Natural Language Processing. He mainly researches on key technologies for AI applications, such as large-scale pre-trained models, multimodal understanding and generation. With academic and industrial background, he has participated in many large-scale projects and completed them online. His team's work on the world's first tri-modal large-scale model "Zidong Taichu" based on Rise AI won the SAIL Award at the World Conference on Artificial Intelligence in 2022. Translated with DeepL.com (free version)

D.in Artificial Intelligence from the Polytechnic University of Madrid, Spain, and a guest researcher at ETH Zurich, Switzerland, with 10 years of experience in ontology engineering, natural language processing, and knowledge graph. During his time at Wenyin, he has led the team to complete the R&D and construction of a number of regulatory technology and financial technology topics and projects for SSE, Bejing Stock Exchange and so on.

Chaoyu Guan, CEO of Qingliu Intelligent Technology, the youngest Tsinghua Graduate Special Award winner, Master of Tsinghua University, supervised by Prof Zhu Wenwu. He has published 7 papers as a first author, won two Deep Learning Challenges, and is the chief architect of the world's first AutoGL open source system (800+ stars on Github).

After graduating from Institute of Computing, Chinese Academy of Sciences in 2011, he joined NetEase Youdao. He was responsible for the algorithm research and development of advertisement recommendation algorithm, OCR/ASR/TTS, picture/document translation, intelligent learning, etc., and has more than 40 patents. He is one of the main founders of the visual/speech algorithm team of Youdao AI and the team of Youdao Smart Cloud, and also one of the main initiators of the businesses of Youdao Dictionary Pen, Youdao Smart Learning Lamp, and Youdao Smart Cloud. Currently, he is in charge of the research and development, application landing and commercialisation exploration of ZiYi big model as well as RAG engine, and is the initiator of YouDao QAnything project. Translated with DeepL.com (free version)

Dr Shan Dong Dong, Senior Technologist, AliCloud Dr Dong Shandong (董善东博士) is a member of the Vanden family. He is a Diamond Evangelist of AliCloud, and has been awarded as the Expert of the Year in the field of Observability by the China Academy of Information and Communications Technology (CAICT) in 2023. He is currently the head of Observable AIOps, responsible for the construction and commercialisation of Observable AIOps, and the exploration of intelligent operation and maintenance models. He has led the construction of key capabilities of Insights, an AIOps product, including the construction of detection and fault location models in APM domain, which has improved the accuracy of anomaly detection to over 95% and fault location to over 87%. Led ARMS to be selected in Gartner APM & Observables Magic Quadrant 2022, and was certified in Root Cause Analysis Technology (RCA) Advanced Level by ICTA 2023. He received his Bachelor's degree in Information Engineering from Nanjing University. He received his PhD from the Department of Computer Science, National University of Singapore, and his research interests include intelligent sensing systems, signal processing, and so on. Translated with DeepL.com (free version)

Graduated from Beijing University of Aeronautics and Astronautics with a master's degree, he has been engaged in research and application landing related to natural language processing and information retrieval, and his research interests mainly include basic lexicography, information retrieval, and pre-training language models, etc. He has published several academic papers in international conferences ACL/EMNLP/SIGIR in related fields. Currently, he is committed to the research and development of algorithms related to Retrieval Augmentation for Large Models (RAG), including the development of the core module of retrieval augmentation and the exploration of high-performance solutions for the whole link. head of the open source project of GTE embedding series of models. Translated with DeepL.com (free version)

Chenglin Wu, Founder and CEO of DeepWisdom, author of MetaGPT project. He was the Chief Scientist of Bumblebird Social (B+ round), leading the construction of AI middleware, content understanding and distribution system, and global enterprise knowledge graph; he was the youngest T3.3 senior researcher of Tencent, leading the design and implementation of several top projects, such as large-scale recommender system (feeds stream), search engine, knowledge graph, natural language understanding, image understanding, etc., with one-billion users and one-hundred-billion data. Published the top meeting KDD 2018, won the Tencent double five-star (1/~500) and more than ten awards, the department expert group (15/4000 +) the youngest member; served in Huawei 2012 laboratory and won the top ten new employees, is the team's youngest technical experts. In the open source community, he has created a number of open source projects such as MetaGPT, which has occupied the world's first place in the Github Hotlist for many times. He has published papers in TPAMI, KDD, CVPR, ACL, and won world championships in top competitions such as KDD Cup 2021, NeurIPS 2019 AutoDL, and NeurIPS 2019 AutoWSL. In addition, he has been honoured with Forbes 30 Under 30 Elite, Hurun 30 Under 30 Entrepreneurial Leaders and other accolades.

Manager of AI department in Research Institute of Hang Seng Electronics, Ai chief technologist, senior engineer, part-time professor of Zhejiang Normal University and Zhejiang University of Science and Technology, and mentor of enterprise postdoctoral workstation. His main research areas include natural language processing, big models, OCR, etc. He has more than 20 AI patents and papers. He has rich design experience in intelligent Q&A, intelligent documents, intelligent investment research, public opinion and risk control, compliance and supervision, and smart operation, etc., and his products serve more than 500 financial institution clients.

He has many years of experience in Linux kernel, platform BSP, edge computing and big data application development in chip companies. Currently, he is the core developer of Occlum, a confidential computing operating system in Ant Group's Trusted Secure Computing team, and is committed to the development and promotion of the confidential computing ecosystem, especially in the areas of privacy and big data, and distributed confidential computing. Translated with DeepL.com (free version)

He graduated from Shanghai Jiaotong University with a Bachelor's Degree in Information Security, and then obtained a Master's Degree in Computer Science from the University of Manchester. He worked as an algorithm engineer in the R&D departments of asset management and investment banks, focusing on technological innovation and practical application in the field of financial technology. In eBay Payment Risk Control Department, he led the development of experimental system based on graph mining technology and the AIGC workflow project integrating production and research, which effectively promoted the application of graph algorithms and deep learning models in the field of anti-fraud and compliance, and obtained a number of technology patents. He has published several academic papers in top international conferences such as KDD, AAAI, VLDB and ICDE, and is committed to transforming cutting-edge technologies into enterprise-level solutions to drive business innovation and development. Translated with DeepL.com (free version)

Qinlong Wang is currently serving as a technical expert in AI Infrastructure at Ant Group. He has been extensively involved in AI infrastructure research and development at Ant Group, leading projects on elastic fault tolerance and automatic scaling for distributed training. Under his leadership, the utilization rate of Ant Group's hybrid cluster resources has been increased from under 20% to over 40%, and the effective training time for large-scale models has been boosted to over 97%. Wang Qinlong has contributed to various open-source projects including ElasticDL and DLRover, and was recognized as a Vitality Open Source Contributor by the OpenAtom Foundation in 2023. He currently serves as the architect for Ant Group's AI Infrastructure open-source project, DLRover, focusing on building a stable, scalable, and efficient large-scale distributed training system.

Graduated from Kiel University, Germany, majoring in electronic information science and technology, the main research areas of postgraduate students are: BCI (Brain-Computer Interface) and image processing, and participated in the publication of two SCI-indexed IEEE EMBC articles. Having had three entrepreneurial experiences, he joined Kingsoft Office in November 2018 and is now the Technical Director of Kingsoft Office Document AI. Responsible for the R&D management of several key projects such as OCR, document recognition and understanding, PDF editing, scanning, etc., with more than twenty patents. Since 2021, he has been a professional member of the Document Image Analysis and Recognition Committee of the Chinese Society of Graphics, a member of the CSIG Youth Committee, and a director of the European and American Alumni Association of Zhuhai, and was awarded the title of "Zhuhai Innovative and Entrepreneurial Youth" in 2022, and guided Kingsoft's team to be the champion of the small ticket recognition track and the champion of the finals of the CSIG China Graphics Challenge in 2022. In 2022, he guided Kingsoft team to win the champion of CSIG China Graphics Challenge Small Ticket Recognition Competition.

Tao Luo, recruited into PaddlePaddle team in 2015, a long-term open source contributor. He graduated from University of Science and Technology of China (USTC) with a PhD in High Performance Computing under the supervision of Academician Chen Guoliang. In the field of deep learning, he has more than twenty invention patents.

He has been working on AI + Infra for a long time. After MiniMax, he was responsible for infrastructure work, including high-performance AI infrastructure, mega pre-training training framework, DevOps platform, and SRE. He was responsible for the stability of large-scale GPU clusters and high-performance network transformation at Cognizant, and was responsible for the development of mega Kubernetes cluster mixing system at Baidu.

Baidu front-end architect, head of Baidu front-end CMC, head of Baidu technical organisation committee for web direction. 2023 Participated in Baidu's intelligent development tool Comate's IDE end architecture, model enhancement, etc., and has rich experience in the application of large models in software development such as renewal, generation, Q&A and so on.

Xinpeng Zhang, Algorithm Engineer of Smart Spectrum AI-CodeGeeX, graduated from the University of Melbourne with a Master's degree in Artificial Intelligence. After graduation, he has been working on the research and application of natural language processing and data mining, focusing on the collection and cleaning of large-scale datasets as well as the alignment techniques of large-scale models, and his research results have been published in several international academic conferences. Currently, he is in charge of algorithm development for code project-level content understanding and generation in CodeGeeX team, aiming to promote the innovation and application of the technology.

Tianming Lu, graduated from Nanjing University, has many years of R&D experience in big data and AI. He is now working in eBay AI platform department, and has participated in the research and development of unified feature service, model orchestration optimisation, model deployment process optimisation, model service performance optimisation, etc. He is mainly responsible for improving the usage of computing resources of model service. Currently, he is mainly responsible for improving the usage rate of model service computing resources. He is committed to improving the efficiency and performance of AI model service, and providing enterprise-level high-performance model inference platform.

Wenlan Wang, currently a computer vision algorithm expert at Xiaobing, leads the development and innovation of X Eva APP vision algorithm solution, and developed AIGC and face-driven technology applied to the visual expression of AI beings in X Eva APP, which contributed to the landing of video calls, shooting the same product features. Prior to this, Wang served as the person in charge of AIGC technology direction in Tiger Tooth, leading the team to develop AIGC technologies such as industrialised material production and scene structuring, which are widely used in Tiger Tooth Assistant and Tiger Tooth Live APP, with a penetration rate of more than 30%. He has shared his research and development results in many top industry conferences on AI and gaming, with an audience of more than 13,000, and has published several technical white papers, patents, and theses.