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Systems & networking

Researching and inventing new technologies for next-generation infrastructures and platforms for sensors, devices and the cloud.

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Efficient AI | Making Azure's big bet possible

Weishung Liu on the Microsoft Research Podcast

What’s Your Story: Weishung Liu | Microsoft Research Podcast

AI Infrastructure | Towards efficient AI/ML deployment

Microsoft at ASPLOS 2024: Advancing hardware and software for high-scale, secure, and efficient modern applications

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Published Date

Publication

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Project

Publication

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

ICSE 2023 | May 2023

Project Project

Publication

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Project

Microsoft Research Blog

Microsoft at EuroSys 2023: Systems innovation across the stack to help support an easier, faster, safer, and smarter cloud

May 12, 2023 | Rodrigo Fonseca

EuroSys 2023 (opens in new tab) is the premier systems conference in Europe, and 2023 marks its 18th edition. Sponsored by ACM SIGOPS Europe and hosted May 8 to May 12, the conference covers a…

Microsoft Research Blog

Research Focus: Week of May 8, 2023

May 10, 2023

In this issue: Microsoft researchers win four more awards; AutoRXN automates calculations of molecular systems; LLM accelerator losslessly improves the efficiency of autoregressive decoding; a frequency domain approach to predict power system transients.