Portrait de Xing Xie

Xing Xie

Partner Research Manager

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Nouvelles et reportages

The image shows a radar chart comparing the performance of different AI models across various metrics. The chart has a circular grid with labeled axes including VO, AS, CEc, CEe, CL, MCr, MCt, MCu, MS, QLI, QLqA, SNs, KNa, KNc, KNF, KNn, and AT. Different AI models are represented by various line styles: Babbage-002 (dotted line), Davinci-002 (dash-dotted line), GPT-3.5-Turbo (dashed line), GPT-4.0 (solid thin line), OpenAI ol-mini (solid thick line), and OpenAI o1 (solid bold line). There is a legend in the bottom left corner explaining the line styles for each model. The background transitions from blue on the left to green on the right.
Blog de recherche Microsoft

| Lexin Zhou et Xing Xie

ADeLe, a new evaluation method, explains what AI systems are good at—and where they’re likely to fail. By breaking tasks into ability-based requirements, it has the potential to provide a clearer way to evaluate and predict AI model performance.

Xing Xie illustrated headshot
Podcast de recherche Microsoft

| Gretchen Huizinga et Xing Xie

New AI models aren’t just changing the world of research; they’re also poised to impact society. Xing Xie talks about Societal AI, a white paper that explores the changing landscape with an eye to future research and improved communication across…

Societal AI surrounded by a circle with two directional arrows in the center of a rectangle with Computer Science and a computer icon on the left with a directional arrow pointing to Social Science on the right with two avatar icons.
Blog de recherche Microsoft

| Beibei Shi, Haotian Li, et Xing Xie

Learn about a new white paper on Societal AI, an interdisciplinary framework for guiding AI development that reflects shared human values. It presents key research challenges and emphasizes collaboration across disciplines.

Prix | ACM

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.

Microsoft Research Podcast - Abstracts hero with a microphone icon
Podcast de recherche Microsoft

| Gretchen Huizinga et Xing Xie

"Abstracts”—your source for world-class research in brief—welcomes Senior Principal Research Manager Xing Xie to the podcast series to discuss his paper on evaluating general-purpose AI with psychometrics.

Prix | NeurIPS Conference 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…

Dans l’actualité | MSR News

Federated learning is a new collaborative learning method that involves multiple decentralized edge devices to build a privacy-preserving shared data model without exchanging locally bound data.

Prix | IEEE

Xing Xie was announced as IEEE Computer Society 2022 Fellow for contributions to spatial data mining and recommendation systems.

Prix | Association for Computing Machinery (ACM)

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…