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Data platforms and analytics

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services

GenAI for Industry - AI-generated image compilation of industrial blueprints from renewable energy to transporation and manufacturing

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

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Published Date

Microsoft Research Blog

Building toward more autonomous and proactive cloud technologies with AI

April 10, 2023

In the first blog post in this series, Cloud Intelligence/AIOps – Infusing AI into Cloud Computing Systems, we presented a brief overview of Microsoft’s research on Cloud Intelligence/AIOps (AIOps), which innovates AI and machine learning…

Vision of AIOps Research with four quadrants (starting in the top left and proceeding clockwise): Autonomous, Proactive, Manageable, Comprehensive

Publication

Studies of Part-to-Whole Glanceable Visualizations on Smartwatch Faces

Tanja Blascheck, Lonni Besançon, Anastasia Bezerianos, Bongshin Lee, Alaul Islam, Tingying He, Petra Isenberg

IEEE PacificVis | April 2023

Project

Publication

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

WWW ’23 | April 2023

Publication

HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering

Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang

WWW ’23 Companion | April 2023

Publication

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda

WWW’23 Companion | April 2023

Publication

Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise

Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang

IEEE 39th International Conference on Data Engineering (ICDE 2023) | April 2023

Dataset Source Code

GA4GH TES on Azure

This project is an implementation of the GA4GH Task Execution Service (TES), that provides distributed batch task execution on Microsoft Azure. The TES API is an effort to define a standardized schema and API for describing…

GitHub Publication

Publication