Shuoling Liu is the Head of Institute of Innovation, Executive Chairman of FinTech Technology Committee, and Managing Director at E Fund. He is also a FinTech Committee member of Asset Management Association of China (AMAC) and a member of Quantitative Investment Committee of Investment Technology League (ITL). His research interest includes algorithmic trading, AI-based bond default prediction, and big-data-based ESG research. His research on bond default was awarded the second prize of the Annual FinTech Development by the People's Bank of China in 2020 and selected as the Capital Market FinTech Innovation Pilot Project in Guangzhou. He holds more than 10 FinTech-related patents.
Liyuan Chen is the Chief Operating Officer and Chairman of FinTech Technology Committee of E Fund. She is a senior executive with more than 10 years of experience in business and technology. She has been committed to promoting the application of financial technology and made great contributions of the digital intelligence level of E Fund as well as the industry. She leads the FinTech Sector of E Fund, whose scientific researches has been transformed into high-profit productivities and publications in top-tier conferences.
Haishan Wu is the vice general manager of AI Department at WeBank. He was the Director and AI scientist at BlackRock. He was the founder and CEO of SenSight.ai before joining BlackRock. Previously, he was the Chief Data Scientist of Heyi Ventures. He was also the consultant of Baidu Capital. His researches were not only published in prestigious journals and conferences, but also widely featured by major international media outlets. He was recognized as 35 Innovators Under 35 in China by MIT Technology Review in 2017. He earned his PhD degree from Fudan University in 2011 and was the Postdoc researcher in Princeton University in 2013-2014.Â
Lixin Fan is currently the principal scientist of artificial intelligence with WeBank. He was the inventor of more than 100 patents filed in USA, Europe, and China. He was with Nokia Research Center and Xerox Research Center Europe. His research interests include the wellknown bag of keypoints image classification method, machine learning and deep learning, computer vision and pattern recognition, and image and video processing. He has participated in the NIPS/NeurIPS, ICML, CVPR, ICCV, ECCV, IJCAI and other top artificial intelligence conferences for a long time. He was the area chair of the AAAI and organized workshops in various technical fields. He is currently the chairman of the IEEE P2894 Explainable Artificial Intelligence Standard Working Group. He is a senior member of IEEE.
Yue Cui is a Ph.D. student at the Hong Kong University of Science and Technology. She is interested in developing effective and trustworthy algorithms for data science and artificial intelligence (AI). She received the best paper runner-up award of APWeb-WAIM 2022. She has published over 15 peer-reviewed papers in top-tier conferences and journals in the area of data mining and trustworthy AI, including KDD, WWW, VLDB, ICDE, TOIS etc. She serves as the Program Committee member and reviewer for many top-tier conferences and journals, including ICML, KDD, ICDE, TKDE, CIKM etc.
Qiang Yang is Chief Artificial Intelligence Officer of WeBank and Chair Professor of CSE Department of Hong Kong University of Science and Technology. He is the Conference Chair of AAAI-21, President of Hong Kong Society of Artificial Intelligence and Robotics (HKSAIR) , the President of Investment Technology League (ITL) and a former President of IJCAI (2017-2019). He is a fellow of AAAI, ACM, IEEE and AAAS. His research interests include transfer learning and federated learning. He is the founding EiC of two journals: IEEE Transactions on Big Data and ACM Transactions on Intelligent Systems and Technology.