Chairman of the Board, Executive Director & CEO
Chairman of the Board, Executive Director & CEO
As a leading AI scholar, Wenyuan Dai has 12 years of working experience in AI technology. He proposed the fundamental theory framework and major algorithms for transfer learning. and published many papers in top academic conferences such as NIPS, ICML, AAAI and KDD. His research findings were included in Data Mining: Concepts and Techniques, a widely accepted university textbook for data mining courses. He is the author of Transfer Learning, an AI-related book published by Cambridge University Press, and Big Data Modeling Methods, a textbook on big data used in Chinese colleges.
Wenyuan Dai designed a commercial AI system - Baidu Phoenix Nest System. In 2014, he founded 4Paradigm. Within just a few years, 4Paradigm has been named one of the 32 global AI unicorns by CB Insights, and ranked by IDC MarketScape as the perennial champion in China’s machine learning platform market from 2018 to 2020.
Wenyuan Dai won the first prize of Wu Wenjun Artificial Intelligence Science and Technology Award, and the ACM-ICPC world championship, the “Coding Olympics”. He has been featured in MIT Technology Review’s Innovator Under 35 List (China), as well as Fortune's 40 Under 40 List.
Having worked for nearly two decades in B2B enterprise services, James Pei is a pioneer of driving enterprise digital transformation in China. He combined the advanced international management experience with local business scenarios, and blazed a trail to digital transformation in China across the energy, automobile, real estate and other industries. With extensive experience in banking, insurance, retail, aviation, logistics, and other industries, he helped hundreds of leading Chinese companies to facilitate digital transformation, including Sinopec, China Life Insurance, China Everbright Group, Geely, BOE Technology, China Southern Airlines, SF Express, etc.
James Pei has remarkable and unique insights into new economy, new business models, and emerging technologies like AI. Besides, he has developed a set of methodology for digital and intelligent transformation, which is widely adopted across industries. He has been invited as an industry leader to prestigious forums like the 2019 World Artificial Intelligence Conference and IDC Digital Transformation Summit. In the events, he shared insights on intelligent transformation with business leaders from retail, energy, manufacturing and other industries. And his insights were included in Deloitte's white paper The New Chapter of Digital Transformation.
Under the leadership of James Pei, 4Paradigm has expanded its AI business to manufacturing, retail and other sectors, and extended the ecological landscape.
Prior to joining 4Paradigm, James Pei served as Vice President of SAP China. At SAP, he created a fast-track promotion, becoming the youngest vice president. He has acquired rich experience and unique industry insights in enterprise-level B2B services, enterprise digital transformation, and large enterprise management.
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.
Executive Director & Chief Research Scientist
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.
Vice President & Principal Scientist
Weiwei Tu has deep expertise in large-scale distributed machine learning system architecture, large-scale machine learning algorithm design and application, and online marketing system. Before joining 4Paradigm, He worked for the ad click-through rate prediction at Baidu Phoenix Nest and designed Baidu's machine learning computing framework ELF. Now t 4Paradigm, he is responsible for designing GDBT, the unique large-scale distributed machine learning framework of 4Paradigm Sage Platform. He applied AutoML and transfer learning to industry business scenarios and achieved significant improvements.
He has published articles in conferences such as AAAI, IJCAI, KDD, ICML, NeurIPS, and ICLR. He was the chair or director of many competitions such as the NeurIPS 2018/2019 AutoML Challenge, the PAKDD 2018/2019 Challenge, the 1st/2nd AutoML Challenge of KDD Cup, the IJCNN 2019 AutoCV Challenge, the WAIC 2019 AutoNLP Challenge, and the ACML 2019 AutoSpeech and AutoWSL Challenges.
He is a founder for the first AutoML Special Issue in TPAMI, the chair of NeurIPS 2019 CiML Workshop and PRICAI 2018 AutoML Workshop, a mentor of NeurIPS 2019/ICML 2020 New In ML organization, and a member of ChaLearn Council.
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.