[ "Shuoling LIU holds a doctorate degree of Computer Science, and is currently the Chief Information Officer of E Fund Management Co., Ltd. He is a member of the FinTech Special Committee of the Asset Management Association of China, a member of the Quantitative Investment Committee of the Investment Technology League (ITL), and a member of IEEE. His research focus lies in the field of financial artificial intelligence (AI), with long-term engagement in advancing technologies and applications in this domain. He has organized several key academic events, serving as the Chairman of the IJCAI 2023/2025 FinLLM Workshop and the ICDM 2024/2025 DMF Workshop. He has won the First Prize once and the Second Prize twice of the FinTech Development Award issued by the People's Bank of China. He also holds over 10 patents related to FinTech innovations." ]

[ "Xiaojun ZENG is a professor in the Department of Computer Science at the University of Manchester, UK. He received his BS degree in Mathematics and MS degree in Control Theory and Operation Research from Xiamen University, China, and PhD degree in Computation from the University of Manchester, UK. With research experience spanning computational intelligence, machine learning, decision support systems, computational finance, health informatics, and data mining, he has published nearly 200 journal and conference papers; he also led/participated in multiple funded projects (e.g., UK EPSRC, EU Framework Programme, and H2020). He has served the academic community in roles including Associate Editor of IEEE Trans Fuzzy Syst, Program Chair of IEEE Symposium on Computational Intelligence in Control and Automation, and Elected Member of the EPSRC College." ]

[ "Xiu LI is a professor at Tsinghua Shenzhen International Graduate School, Tsinghua University, China. Her research interests include AI, computer vision, and reinforcement learning, with foci in embodied intelligence, multi-modal understanding and generation large models, and AI for life sciences. She has published over 200 academic papers in top-tier international journals and conferences, such as IEEE Trans Patt Anal Mach Intell, IEEE Trans Neur Netw Learn Syst, CVPR, NeurIPS, and ICML; these papers have been cited over 10 000 times on Google Scholar. She was consecutively listed in the top 2% of global scientists in AI by Stanford University and Elsevier from 2022 to 2025." ]

[ "Qiang YANG is a Professor Emeritus of the Hong Kong University of Science and Technology, China and the Chief AI Advisor of WeBank. He is a fellow of AAAI, ACM, IEEE, and AAAS, and a member of the Canadian Academy of Engineering and of the Royal Society of Canada. His research interests include transfer learning and federated learning. He is the founding Editor-in-Chief of two journals, IEEE Trans Big Data and ACM Trans Intell Syst Technol. He has been a conference/program chair for IJCAI, AAAI, and ACM SIGKDD, and has received Distinguished Service Awards from IJCAI and ACM SIGKDD. His latest books are Transfer Learning, Federated Learning, Privacy-Preserving Computing, and Practicing Federated Learning." ]