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Yang Jiang

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Yang Jiang holds bachelor’s and master’s degrees from the University of Science and Technology of China and a doctorate in information from the University of Michigan, Ann Arbor. Former postdoctoral researcher at Michigan’s School of Information, IBM Social Analytics researcher, Microsoft Research researcher, and head and senior researcher of Alibaba’s academic research platform. Received outstanding doctoral recognition at Michigan. Researches human-computer interaction, knowledge collaboration and social computing. Has more than 2000 Google Scholar citations, nearly 30 papers in leading journals and peer-reviewed conferences, over 50 invited conference and forum presentations and participation in more than a dozen research projects including NFS, as written in the source, and Microsoft research funding. Served as workshop chair and committee member and reviews for Information Systems Research, World Wide Web Journal, IEEE Intelligent Systems, Transactions on the Web and SIGCHI. Combines academic research and industrial innovation, leading Alibaba projects presented to Nobel laureates. Experience spans data science research and Alibaba data and AI strategy. Developed one of the earliest AI content generation tools in a previous venture and now leads PI (Presentation Intelligence), described as China’s first truly AI-native content creation and sharing platform.

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Chinese person.

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杨疆,本硕就读于中国科学技术大学,密歇根大学(University of Michigan,Ann Arbor)信息学博士,历任密歇根大学信息学院博士后,IBM社会分析(Social Analytics)研究员,微软研究院研究员,阿里巴巴集团学术研究平台负责人和资深研究员。获密歇根大学优秀博士荣誉,研究领域为人机交互,知识协作和社会计算。Google Scholar统计显示,其研究成果总计被引用逾2000 次;相关研究成果发表于顶级学术期刊,和顶级同行评议国际会议近30篇,应邀参加国际会议和论坛宣读论文和报告50余次,并参与十多个科研项目(如NFS,微软研究基金等)。多次担任国际研讨会组委会主席和委员,并担任 Information Systems Research 、World Wide Web Journal (WWWJ)、IEEE Intelligent Systems、Transactions on the Web、SIGCHI等期刊和会议审稿人。其拥有丰富的融合学术研究和产业创新实践的经验,在阿里巴巴主导了多个创新研究(研究成果向多位诺贝尔获奖者汇报)。纵跨数据科学的学术研究到阿里巴巴的数据和人工智能战略实操,在前一个创业项目研发了全球最早的AI内容生成工具;目前带队研发中国第一个真正AI-Native的内容创作和共享平台PI(Presentation Intelligence ) 。 中国人