Microsoft Research Lab – Asia
News & features
Research Focus: Week of December 2, 2024
Can a new SOS-RMT protocol enable more efficient CL-MPC?; A fair-by-design, cloud-based algorithmic trading platform; LLM2CLIP unlocks richer visual representation; New technique enhances Low-Rank Adaptation’s expressiveness, generalization capabilities.
MarS: A unified financial market simulation engine in the era of generative foundation models
| Weiqing Liu, Junjie Li, Yang Liu, Chang Xu, Shikai Fang, Lewen Wang, and Jiang Bian
Microsoft Research presents a new large market model and Financial Market Simulation Engine (MarS) to help empower financial researchers with enhanced efficiency and more accurate insights for downstream tasks in financial markets.
Awards | SIGMOBILE
Jie Xiong receives SIGMOBILE Test-of-Time Paper Award
ArrayTrack: A Fine-Grained Indoor Location System (USENIX NSDI, 2013) introduced a pioneering approach to RF-based indoor localization and wireless sensing by leveraging phase-array-based signal processing. Moving beyond traditional wireless signal strength measurements, it utilized multiple antennas and advocated for the…
Introducing Yasuyuki Matsushita: Tackling societal challenges with AI at Microsoft Research Asia – Tokyo
Yasuyuki Matsushita rejoins Microsoft to lead the new Microsoft Research Asia – Tokyo lab. Learn more about his journey and his perspective on the Tokyo lab’s role in evolution of AI.
In the news | Microsoft Source Asia
Microsoft establishes a new lab, Microsoft Research Asia – Tokyo
USENIX ATC 2024 best paper | How Microsoft is improving cloud AI infrastructure reliability
As cloud AI workloads grow in complexity and scale, maintaining high system reliability has become crucial. Traditional methods of ensuring system reliability, such as using redundant components, inadvertently introduce a new problem: subtle performance degradation, also known as “gray failures”.…
Author: Machine Learning Group Time-series forecasting is crucial across various industries, including health, energy, commerce, climate, etc. Accurate forecasts over different prediction horizons are essential for both short-term and long-term planning needs across these domains. For instance, during a public health…
Author: Youshan Miao Today, deep learning has permeated our daily lives. As the size of models continues to grow, training these models on massive GPU accelerators has become increasingly time-consuming and costly. To effectively harness the power of massive GPUs…