Portrait of Tie-Yan Liu

Tie-Yan Liu

Assistant Managing Director

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, and IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 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), the most cited Chinese researcher award by Elsevier (2017, 2018), China AI Leader Award – Technical Innovation (2018), Most Influential Scholar Award by AMiner (2007-2017), and 30 Best AI Use Cases of the Year by Synced (2019). His team released LightGBM in 2017, which has become one of the most popularly used machine learning tools in Kaggle and KDD Cup; 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等社会职务。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、IEEE TPAMI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、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)、机器之心年度最佳AI应用案例等奖项。他的团队于2017年开源了LightGBM,目前已成为Kaggle比赛和KDD Cup中最受欢迎的机器学习工具之一;于2018年帮助微软在中英新闻翻译任务上达到了人类专家的水平,并于次年获得WMT机器翻译比赛8项冠军;于2019年研发了史上最强麻将AI Suphx,在国际知名麻将平台“天凤”上荣升十段,稳定段位显著超越人类顶级选手。近年来他的团队还与诸多龙头企业进行了深入战略合作(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。