As a pioneering scholar in transfer learning, Dr. Wenyuan Dai ranks the third globally in terms of transfer learning academic influence according to Google Scholar. He was also a former ACM-ICPC world champion.

In 2014, Wenyuan Dai founded 4Paradigm, an AI company focusing on AI-driven transformation for enterprises.  4Paradigm has been ranked by IDC MarketScape as the perennial champion in China’s machine learning platform market. He won the First Prize of Wu Wenjun Artificial Intelligence Science and Technology Award. And he has been featured in MIT Technology Review’s Innovators Under 35 List (China), as well as Fortune's 40 Under 40 List. Besides, he was also awarded a China Youth May Fourth Medal. He was the former chief architect of Baidu Phoenix Nest System and principal scientist of Huawei Noah’s Ark Lab.

Prof. Qiang Yang is an internationally renowned expert and leader in AI research, the first Chinese Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), the only Chinese Executive Committee member of AAAI, and the first Chinese Chairman of International Joint Conference on Artificial Intelligence (IJCAI) Board of Trustees. He was the Chair Professor and former Head of the Department of Computer Science at the Hong Kong University of Science and Technology. Now he serves as the Founding Chairman of the Hong Kong Society of Artificial Intelligence and Robotics.

Qiang Yang is a fellow of ACM, AAAI, IEEE, AAAS and IAPR, and has been invited by ACM and IEEE as an editorial board member of several international journals on advanced AI and data mining. He is the founder of several international AI research societies, as well as an international leader in machine learning and transfer learning.

As a leading scholar in transfer learning, Yuqiang Chen introduced heterogeneous transfer learning and published articles in top academic conferences such as NIPS, AAAI and ACL. He won the APWeb 2010 Best Paper Award and his research results were published on MIT Technology Review. As a researcher of AutoML, he led his team to pioneer the mainstream algorithms for AutoML. With their joint efforts, 4Paradigm AutoML was named in Gartner’s Top 10 Strategic Technology Trends for 2020.

He participated in the design of commercial deep learning system Baidu Phoenix Nest and the recommendation system of Toutiao. He was selected as one of the 50 Data Scientists in China and won the first WAIC Yunfan Award.

Shiwei Hu has rich experience in enterprise intelligent transformation, online business operations, large-scale machine learning, advertising, search, industry vertical applications, and R&D management. He served as the architect of Baidu's search system and pioneered the intelligent transformation of Baidu’s advertising and search systems. Then he worked as architect at Lianjia to enable the digital transformation of Lianjia’s business.

At 4Paradigm, he leads the design and development of AI products and business systems for enterprise intelligent transformation. He led the R&D team to build the first full-process AI platform in China - 4Paradigm Sage Platform, which won the first prize of Wu Wenjun Artificial Intelligence Science and Technology Award, the highest honor in China’s AI research. He also took charge of the intelligent transformation projects for large banks, large international catering chains in China, and leading Chinese retail chains.

Zhao Zheng leads the AI technology architecture planning and product technology at 4Paradigm. He is the winner of ACM-ICPC world championship, the "Coding Olympics", as well as the 2011 KDD Cup Best Single Model Award. As a leading researcher in software-defined AI computing, he led the design of a high-performance AI computing architecture that supports trillion-dimensional feature processing. He owns a number of technology patents related to FPGA accelerator cards.

Zhao Zheng is a Silicon Valley veteran with years of working experience at Google's display advertising architecture team, and Pinterest's search architecture and personalization team. He has acquired deep expertise and experience in building large-scale search architecture, personalized recommendation architecture, and machine learning system architecture, as well as managing the tech teams.