Microsoft Research Lab – Asia
News & features
Segmenting objects in images is a fundamental step that researchers have taken towards achieving scene understanding and has played a crucial role in numerous vision systems. The most common approach in this line of research is to classify individual pixels…
Imitation learning has proven to be effective for learning sequential decision-making policies directly from expert demonstrations, reducing the need for costly and risky environmental interactions. Behavioral cloning is a simple form of imitation learning and learns a policy by solving…
AAAI is one of the top academic conferences in the field of Artificial Intelligence and is hosted by the Association for the Advance of Artificial Intelligence. This year’s AAAI conference was held from February 22 to March 1. More than…
Since COVID-19 first broke out, nearly 280 million people worldwide have contracted the disease, and more the 5.4 million people have died as a result, bringing huge losses and injuries to the global economy and to social life. In contrast,…
Microsoft Research Asia announced that Dr. Lili Qiu, a world-leading expert in the field of Internet and mobile wireless networks, has officially joined Microsoft Research Asia as Assistant Managing Director and will be mainly responsible for overseeing the research, as…
Graphormer wins the Open Catalyst Challenge and upgrades to AI for Molecular Simulation Toolkit
Graphormer is a new generation deep learning model for graph data modeling (with typical graph data including molecular chemical formulas, social networks, etc.) that was proposed by Microsoft Research Asia. Compared with the previous generation of traditional graph neural networks,…
Research at Microsoft 2021: Collaborating for real-world change
Over the past 30 years, Microsoft Research has undergone a shift in how it approaches innovation, broadening its mission to include not only advancing the state of computing but also using technology to tackle some of the world’s most pressing…
Deep neural networks (DNN) have recently achieved remarkable success in various fields. When training these large-scale DNN models, regularization techniques such as L2 Normalization, Batch Normalization, Dropout, etc. are indispensable modules to prevent model overfitting and improve model generalization. Among…
Microsoft Research Asia Establishes Theory Center to Strengthen Theoretical Foundation of AI
On December 11th, Microsoft Research Asia (MSR Asia) held the 2021 Theory Workshop, where theoretical research experts from academia and the industry came together to share their latest research results. At the workshop, MSR Asia announced the establishment of its…