Portrait of Tie-Yan Liu

Tie-Yan Liu

Assistant Managing Director
微软亚洲研究院 副院长

Short Bio

Tie-Yan Liu is an assistant managing director of Microsoft Research Asia, a fellow of the IEEE, and a distinguished scientist of the ACM. He is also an adjunct/honorary professor at Carnegie Mellon University (CMU), University of Nottingham, and Tsinghua University. He is very well known for his pioneer work on machine learning for information retrieval, and recently he has done impactful research on deep learning, reinforcement learning, and distributed learning. He published 200+ papers in top conferences and journals, with tens of thousands of citations. He has been invited to serve as general chair, program committee chair, local chair, or area chair for a dozen of top conferences including WWW/WebConf, SIGIR, KDD, ICML, NIPS, IJCAI, AAAI, ACL, ICTIR, as well as associate editor of ACM Transactions on Information Systems, ACM Transactions on the Web, and Neurocomputing. He won the best (student) paper award at SIGIR (2008) and ACML (2018), the most cited paper award at Journal of Visual Communications and Image Representation (2004-2006), Top-10 Springer Computer Science books by Chinese authors (2015), the most cited Chinese researcher award by Elsevier (2017, 2018), China AI Leader Award – Technical Innovation (2018), and Most Influential Scholar Award by AMiner (2007-2017). Many of his AI technologies have been transferred to Microsoft’s products and online services (including Bing, Advertising, Windows, Xbox, and Azure), and open-sourced through Microsoft Cognitive Toolkit (CNTK), Microsoft Distributed Machine Learning Toolkit, and Microsoft Graph Engine. His team helped Microsoft achieve human parity in machine translation in 2018 and won 8 champions in the WMT machine translation contest in 2019.  His team also built the world-best Mahjong AI, named Suphx, which achieved 10 DAN on the Tenhou Mahjong platform in mid 2019. In addition, his team helped several industrial partners, including Asset Management China (AMC), China Taiping, OOCL, SF-Express, and FareastTone, to achieve successful digital and intelligent transformation.

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刘铁岩博士,微软亚洲研究院副院长,IEEE会士, ACM杰出科学家。他被聘为CMU、清华大学、中国科技大学和南开大学兼职教授、诺丁汉大学荣誉教授;他担任了CCF青工委副主任,中文信息学会信息检索专委会副主任,中国云体系创新战略联盟常务理事,上海徐汇区科协常委,中国工业与应用数学学会大数据与人工智能专委会委员等社会职务。在学术方面,刘博士的先锋性研究促进了机器学习与信息检索之间的融合,被公认为“排序学习”领域的代表人物。近年来他在深度学习、分布式学习、强化学习等方面也颇有建树,在顶级国际会议和期刊上发表论文两百余篇,被引用数万次。他的团队帮助微软在中英新闻翻译任务上达到了人类专家的水平,并在2019年的WMT比赛中摘取8项冠军;他的团队还研发了史上最强麻将AI Suphx,于2019年6月在国际知名麻将平台天凤上荣升十段,稳定段位超越人类顶级选手。他担任了包括WWW/WebConf、SIGIR、KDD、NIPS、AAAI在内的诸多顶级国际会议的大会主席、程序委员会主席或领域主席;包括ACM TOIS、ACM TWEB在内的知名国际期刊副主编。他曾多次获得最佳论文奖、最高引用论文奖、Springer十大华人作者奖、Elsevier 最高引中国学者奖、CCF青竹奖、中国AI英雄风云榜技术创新人物奖,AMiner全球最有影响力学者奖(信息检索领域,2007-2017)等奖项。在产业方面,刘博士发明的机器学习技术被广泛应用在十几种微软产品中,贡献了上百项技术专利,大大提升了微软在搜索引擎、云计算、人工智能领域的全球竞争力。他的团队发布了LightLDA、LightGBM、Multiverso、微软图引擎等知名的机器学习开源项目,并且为微软CNTK项目提供了分布式训练的解决方案,他的团队所参与的开源项目在Github上已累计数万颗星。近年来他的团队通过微软亚洲研究院创新汇与诸多龙头企业进行了深入战略合作(例如华夏基金、东方海外、中国太平、顺丰科技、远传电信等),成功助力合作伙伴实现数字化、智能化转型。