Portrait of Xing Xie

Xing Xie

Senior Principal Research Manager


Dr. Xing Xie is currently a senior principal research manager of Microsoft Research Asia, and a guest Ph.D. advisor at the University of Science and Technology of China. He received his B.S. and Ph.D. degrees in Computer Science from the University of Science and Technology of China in 1996 and 2001, respectively. He joined Microsoft Research Asia in July 2001, working on data mining, social computing and ubiquitous computing. During the past years, he has published over 300 papers, won the ACM SIGKDD China 2021 test of time award, the 10-year impact award honorable mention in ACM SIGSPATIAL 2020, the 10-year impact award in ACM SIGSPATIAL 2019, the best student paper award in KDD 2016, and the best paper awards in ICDM 2013 and UIC 2010. He has been invited to give keynote speeches at CCIR 2020, MDM 2019, HHME 2018ASONAM 2017, MobiQuitous 2016, SocInfo 2015, W2GIS 2011, etc. He currently serves on the editorial boards of ACM Transactions on Recommender Systems (ToRS), ACM Transactions on Social Computing (TSC), ACM Transactions on Intelligent Systems and Technology (TIST), Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)Springer GeoInformatica, Springer International Journal on Data Science and Analytics, CCF Transactions on Pervasive Computing and Interaction (CCF TPCI). He served as program co-chair of ACM Ubicomp 2011, the 8th Chinese Pervasive Computing Conference (PCC 2012), the 12th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2015), the 6th National Conference on Social Media Processing (SMP 2017), ACM SIGSPATIAL 2021, and will be a program co-chair of ACM SIGSPATIAL 2022 and IEEE MDM 2022. In Oct. 2009, he founded the SIGSPATIAL China chapter which was the first regional chapter of ACM SIGSPATIAL. The Microsoft Recommenders project developed by his research team in collaboration with the Microsoft Azure teams is the most popular recsys project on GitHub. He is a Fellow of China Computer Federation (CCF) and the IEEE, and a Distinguished Member of ACM.

谢幸博士于2001年7月加入微软亚洲研究院,现任首席研究员,中国科学技术大学兼职博士生导师,微软-中科大联合实验室主任,以及中国计算机学会普适计算专委会副主任。他1996年毕业于中国科学技术大学少年班,并于2001年在中国科学技术大学获得博士学位,师从陈国良院士。目前,他的团队在数据挖掘、社会计算和普适计算等领域展开创新性的研究。他发表了300余篇学术论文,共被引用30000余次,H指数87,1999年获首届微软学者奖,2019年获ACM SIGSPATIAL十年影响力论文奖及中国计算机学会青竹奖,2020年获ACM SIGSPATIAL十年影响力论文荣誉奖,2021年获ACM SIGKDD China时间检验论文奖,并曾在KDD、ICDM等会议上获最佳论文奖。他被邀请在CCIR 2020, MDM 2019、HHME 2018、ASONAM 2017、Mobiquitous 2016、SocInfo 2015、W2GIS 2011等会议做大会主题报告。他是ACM Transactions on Recommender Systems、ACM Transactions on Social Computing、ACM Transactions on Intelligent Systems and Technology、Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)、Springer GeoInformatica、Springer International Journal on Data Science and Analytics、CCF Transactions on Pervasive Computing and Interaction等杂志编委。他在2009年参与创立了ACM SIGSPATIAL中国分会,曾担任ACM UbiComp 2011、PCC 2012、IEEE UIC 2015、SMP 2017、以及ACM SIGSPATIAL 2021等会议程序委员会共同主席,并将担任ACM SIGSPATIAL 2022与IEEE MDM 2022大会程序委员会共同主席。他的研究团队与微软云计算团队合作开源的Microsoft Recommenders是GitHub上最受欢迎的推荐系统项目。他是中国计算机学会会士、IEEE会士、ACM杰出会员。

PENS: PErsonalized News headlineS (Dataset for personalized news headline generation research, ACL 2021 paper)

The 1st International Workshop on News Recommendation and Intelligence (PPT and recordings are shared here)

MIND News Recommendation Leaderboard (ACL 2020 paper, Baselines)

Microsoft Recommenders

IEEE MDM 2019 Keynote Speech “Future of Personalized Recommendation Systems” (Jun. 2019)

Personalized Recommendation Systems: Five Hot Research Topics You Must Know (EnglishChinese, Nov. 2018)

Our research on personality inference/matching in TV program “Only You” (in Chinese, May 2017)

Book: Mobile Data Mining (in Chinese, Apr. 2017)

USTC campus visit talk “User Modeling, Personality Inference and Chatbots” (in Chinese, Mar. 2017)

Zaojiu talk “Can I Build Another Me” (in Chinese, Feb. 2017)