News & features
Jianfeng Gao, Sumit Gulwani, Nicole Immorlica, Stefan Saroiu, Manik Varma, and Xing Xie are among the new class of 68 Association for Computing Machinery (ACM) fellows for their transformative contributions to computing science and technology.
Awards | NeurIPS Conference 2022
Yujing Wang, Ziming Miao, Qi Chen, Yuqing Xia, Xing Xie, Mao Yang and Zheng Liu receive Outstanding Paper award at NeurIPS 2022
Yujing Wang, Ziming Miao, Qi Chen, Yuqing Xia, Xing Xie, Mao Yang, and Zheng Liu researchers from Microsoft Research Asia lab along with co-authors Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Chengmin Chi, Guoshuai Zhao,Zheng…
In the news | MSR News
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
Career Award | IEEE
IEEE Computer Society Announces 2022 Fellows
In the news | Microsoft News Blog
MIND at work: News recommendation competition open to researchers and publishers
Put a battery-operated talking unicorn in your online shopping cart, and you may get an alert suggested some AA cells to juice up the conversation. Binge-watch a few action movies and you may see titles of martial arts cinema fill…
Awards | Association for Computing Machinery (ACM)
Four Microsoft researchers selected as 2019 ACM Distinguished Members
Weidong Cui, Andrew Begel, Landon Cox, and Xing Xie have been recognized as 2019 Distinguished Members of the Association for Computing Machinery (ACM) for their significant contributions to technologies that underpin how we live, work and play. “Each year it is…
In the news | MSR News
Personalized Recommendation Systems: Five Hot Research Topics You Must Know
Information overload is a big challenge for online users. It is particularly an issue when a user has to quickly and accurately identify a resource from an exponentially growing set of information and products. It is also difficult for merchants…
In the news | Asia Faculty Summit
Asia Faculty Summit 2016 – AI and Psychology
Gaining an in-depth understanding of users is critical for building artificial intelligence systems. With the rapid development of positioning, sensing and social networking technologies, large quantities of human behavioral data are now readily available.