Jiang Daxin

Transliterated name · original name retained below

Dr. Jiang Daxin oversees StepFun’s strategy and technology and product R&D. Under his leadership, it rapidly became a leading Chinese general-purpose large-model startup. A globally recognized natural language processing expert, he has extensive research and engineering experience in machine learning, data mining, NLP and bioinformatics. Former global vice president at Microsoft and chief scientist of its Software Technology Center Asia (STCA), responsible for Bing’s technical development. Led multiple AI projects and provided key technology for Microsoft 365, Azure and Cortana. Before Microsoft, was an assistant professor at Nanyang Technological University’s School of Computer Science and Engineering in Singapore. Holds multiple data-mining and NLP patents and published more than 100 papers in venues including SIGKDD, ACL and AAAI, with over 13 thousand Google Scholar citations. Co-authored Context-Aware Query Suggestion by Mining Click-Through and Session Data, which received the SIGKDD Best Applied Paper Award in 2008. Holds a computer science doctorate from the State University of New York at Buffalo and an undergraduate degree from USTC. Founded StepFun in 2023/4, overseeing strategy and technology and product R&D and leading its rapid growth into a leading general-purpose model startup. Previously Microsoft global vice president, deputy head and chief scientist of STCA. Led a research and engineering team of more than four hundred developing Bing (http://www.bing.com), including web ranking, intelligent Q&A, knowledge cards, image and video search. Applied deep learning to improve search quality. Language alignment, data augmentation and transfer-learning methods helped expand Bing to over 200 countries and regions and more than 100 languages. These technologies were also used in Cortana, Azure Cognitive Services, Outlook and Xbox. Previously an assistant professor at Nanyang Technological University in Singapore. A globally recognized NLP expert with extensive machine-learning, data-mining, NLP and bioinformatics research and engineering experience. Holds multiple patents and more than 100 publications at SIGKDD, ACL, AAAI and other venues. This source passage gives more than 20 thousand Google Scholar citations and an H-index of 58. His doctoral paper Mining coherent gene clusters from gene-sample-time microarray data was runner-up for SIGKDD’s Best Applied Paper Award in 2004. The paper Context-Aware Query Suggestion by Mining Click-Through and Session Data, completed with an intern he supervised at Microsoft Research Asia, won SIGKDD’s Best Applied Paper Award in 2008. Served as Industry Track program chair at SIGKDD and DASFAA, WSDM Industrial Day chair and associate editor of IEEE Transactions on Knowledge and Data Engineering (TKDE). Also an executive committee member and member of the CCF CTO Club enterprise working committee, information retrieval committee and natural language generation and intelligent writing committee. Selected as an IEEE Fellow in 2025. The differing citation figures follow the respective source passages.