CNCC2024
Brief introduction of the forum:
Artificial intelligence is helping the new wave of digital finance
Time: 13:30-17:30, October 24
Location: Autumn Garden-Hanhui Building Yanying Lundao Pavilion
Note: If there is any change, please refer to the final information on the official website (https://ccf.org.cn/cncc2024).
The Central Financial Work Conference clearly pointed out that "do a good job in science and technology finance, green finance, inclusive finance, pension finance, and digital finance". It is required to continuously improve the ability of financial services through digital and intelligent means to promote the high-quality development of finance. Recently, the "Decision of the Central Committee of the Communist Party of China on Further Deepening Reform in an All-round Way and Promoting Chinese-style Modernization" proposes to strengthen high-quality financial services for major strategies, key areas and weak links.
The CNCC2024 Digital Finance Forum, jointly organized by the CCF Digital Finance Branch and Ant Consumer Finance, will discuss how to use advanced technology tools such as artificial intelligence, big data, cloud computing, and blockchain to empower science and technology in depth, and better serve the five major articles of science and technology finance, green finance, inclusive finance, pension finance, and digital finance, and discuss the relationship between them and how to develop them in tandem. The forum invited five senior experts from academia and industry to share cutting-edge technology progress and latest application practices from the perspectives of multi-granularity intelligent computing, federal security and privacy, security and application of large models in the financial field, and digital technology empowering consumer finance. The forum also invited a number of heavyweight guests to participate in a roundtable discussion on how artificial intelligence can help the new wave of digital finance.
Forum Agenda
| order | topic | Keynote speaker | unit |
| 1 | Multi-granularity cognition-inspired intelligent computing and applications | Wang Guoyin | Chongqing Normal University |
| 2 | Federally recommended system security and privacy protection | He Qinming | Zhejiang University |
| 3 | Intelligent algorithm security evaluation and its application in financial scenarios | Shen Chao | Xi'an Jiaotong University |
| 4 | The application of large models in consumer financial service scenarios | Shen Xiaodong | Ant Group |
| 5 | Digital technology empowers the practice of inclusive finance in the field of consumer finance | Liu Yi | Ants spend money |
| Panel link | Li Ruixuan | Hust | |
| Zheng Xiaolin | Zhejiang University | ||
| Shen Xiaodong | Ant Group | ||
| He Qinming | Zhejiang University | ||
| Shen Chao | Xi'an Jiaotong University |
Introduction of the chairman and guests of the forum
Chair of the Forum
Xiao Jing
Director of CCF, Vice Chairman of Shenzhen Branch, Chairman of CTO Club (Shenzhen), Chief Scientist of Ping An Group
Senior Engineer (Professor), National Distinguished Expert, IEEE Fellow, Ph.D. from Carnegie Mellon University. He is currently the Chief Scientist of Ping An Group, responsible for the research and development of artificial intelligence technology and its application in finance, healthcare, urban governance and other fields, and has led the team to set a number of industrial digital and intelligent benchmarks in the fields of digital finance, smart healthcare and smart city. He has been engaged in research in the fields of artificial intelligence and big data analysis and mining for a long time, and his research directions mainly include computer vision, data mining, auxiliary diagnosis, digital finance, etc.
Forum Speaker
Wang Guoyin
CCF Fellow, Deputy Secretary of the Party Committee and President of Chongqing Normal University, Director and Professor of the Key Laboratory of Cyberspace Big Data Intelligent Security of the Ministry of Education
President of Chongqing Normal University, Director of the Key Laboratory of Cyberspace Big Data Intelligent Security of the Ministry of Education. He is currently the vice president of the Chinese Society of Artificial Intelligence (CAAI), the chairman of the Chongqing Artificial Intelligence Society (CQAAI), and a fellow of IRSS/CAAI/CCF. He has been engaged in the research of rough sets, granular computing, knowledge discovery, data mining, cognitive computing, big data intelligence, etc., presided over a number of national major/key scientific research projects such as the National Key R&D Program and the National Natural Science Foundation of China, published more than 400 research papers, and published more than 30 monographs (including edited works); He has won more than 10 awards such as the second prize of the National Teaching Achievement Award; Selected into a number of national talent programs.
Title: Multi-granularity cognitively inspired intelligent computing and applications
Abstract: This paper analyzes the contradiction between computer intelligent computing and human brain cognitive processing, and puts forward the scientific problems that need to be solved in artificial intelligence research. By integrating the human cognitive mechanism (the "large-scale first" cognitive principle from coarse-grained to fine-grained in human visual cognition) and the computer information processing mechanism (the information space transformation process from fine-grained to coarse-grained in computer information processing), a multi-granularity cognitive computing model is proposed from the interdisciplinary direction of cognitive intelligent computing. Combined with multi-granularity cognitive computing, the interpretability problem in machine learning is discussed from the perspective of human cognitive understanding. The current research progress is introduced in combination with the application of the industry field.
He Qinming
Professor, School of Computer Science and Technology, Zhejiang University
Outstanding member of CCF, professor of School of Computer Science and Technology, Zhejiang University, Qiushi Distinguished Scholar, National Famous Teacher, winner of CCF Outstanding Education Award, expert with special government allowance of the State Council; Vice Chairman of the Steering Committee of Computer Course Teaching in Colleges and Universities of the Ministry of Education, and executive director of the Machine Learning Professional Committee of the Chinese Society of Artificial Intelligence. His research interests include machine learning, blockchain technology and security.
Title: Federally Recommended System Security and Privacy Protection
Report Summary: Federated recommendation technology can accurately model users' preferences without collecting user privacy data, provide users with personalized recommendation results, and has a wide range of applications in the financial field that focuses on data privacy protection, which can greatly improve the efficiency and user experience of financial services. This speech will focus on the topic of "Security and Privacy Protection of Federated Recommendation System", combined with the background of digital finance, and deeply discuss the attack methods and corresponding defense methods against Federated Recommendation System.
Shen Chao
He is a second-level professor and deputy director of the Talent Office of Xi'an Jiaotong University
He is a distinguished member of CCF, a Changjiang Scholar Distinguished Professor of the Ministry of Education, the leader of the innovation team of the Ministry of Education, and the chief scientist of the National Key R&D Program. He is mainly engaged in the research of intelligent system security and control, and has published more than 180 academic journals and won the best paper award 9 times. He has won 4 first prizes of natural science in Shaanxi Province, presided over more than 30 projects such as the National Key R&D Program, the National Defense Foundation Strengthening Program, and the National Natural Science Foundation of China, and formulated 5 international/industry/group standards. He has served as an associate editor of more than 10 international journals such as IEEE TDSC and TCYB Transactions, and the chairman of IEEE Xi'an Section SMC&CS.
Title: Security Evaluation of Intelligent Algorithms and Their Application in Financial Scenarios
Abstract: Large model technologies led by deep learning and GPT have opened a new era of AI research, but under the beautiful model blueprint, attackers may also take advantage of the vulnerability of the model to bring serious threats to personal security, social security, and even national security. This report will analyze various challenges to the security and privacy of AI algorithms from the perspectives of model confidentiality, integrity, and privacy, and discuss popular research issues such as algorithm privacy leakage, model stealing, adversarial attacks, backdoor threats, output security, fairness and bias, and their practice in financial scenarios.
Shen Xiaodong
Senior Technical Director of Ant Group
He has served as the chief architect of Alibaba Finance and MYbank, and is currently the senior technical director of Ant Group, where he is fully responsible for consumer credit information technology, leading the design and implementation of a number of key credit technology platforms, supporting the business development of Huabei/credit purchase, borrowing/credit loan, and leading the team to precipitate key technologies of Internet finance in multiple fields.
Title: Application of large models in consumer financial service scenarios
Report Summary: In the context of the rapid development of generative AI, the consumer finance industry, as driven by digital and intelligence, is also actively introducing this technology for cutting-edge application and exploration. This report will introduce the application of large models in consumer financial service scenarios, including: how to establish a large consumption understanding model based on user consumption and improve the understanding of user consumption; By understanding the emotional demands of users and AIGC's biographic technology, we can establish an emotional link with users and enhance the user's interactive experience. Introduce the innovative application of digital human service assistant, create a new LUI interactive experience, and make financial services more humanized and intelligent.
Liu Yi
Member of the Standing Committee of CCF Digital Finance Branch, Deputy Secretary of the General Party Branch and Chief Information Officer of Ant Money
Liu Yi, member of the Standing Committee of CCF Digital Finance Branch, Deputy Secretary of the General Party Branch and Chief Information Officer of Ant Money, and Deputy Director of the Special Committee of Chongqing Banking Association, has been engaged in financial technology management for a long time, and has rich experience in team building, information system construction, information technology risk management and digital finance.
Title: Digital Technology Empowers Inclusive Finance Practices in the Field of Consumer Finance
Report Summary: Ant Money's overall strategy of empowering inclusive finance with digital technology is guided by the three characteristics of "stability and security, risk control, and cost efficiency", building "nine" digital fields and comprehensively improving the quality and efficiency of inclusive finance. From the perspective of "digital financial infrastructure, digital credit risk control, and digital intelligent operation", it is analyzed in detail how a huge consumer finance company can practice inclusiveness, explore scenario finance, and build a financial health environment through systematic construction.
About CNCC2024
CNCC2024 will be held on October 24-26 in Hengdian Town, Dongyang City, Zhejiang Province, with the theme of "Developing New Quality Productivity, Computing Leads the Future". The three-day conference included 18 invited reports, 3 conference forums, 138 thematic forums, 34 thematic activities and more than 100 exhibitions. More than 800 speakers, including Turing Award winners, academicians of the Chinese Academy of Sciences and the Chinese Academy of Sciences, top scholars at home and abroad, and well-known entrepreneurs, looked forward to cutting-edge trends and shared their innovative achievements. More than 10,000 people are expected to attend.