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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

Publication

Crystal: A Unified Cache Storage System for Analytical Databases

Dominik Durner, Badrish Chandramouli, Yinan Li

Proceedings of the VLDB Endowment | August 2021

Project

Publication

TUTA: Tree-based Transformers for Generally Structured Table Pre-training

Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)

KDD | August 2021

Project

Publication

Cardinality Estimation: Is Machine Learning a Silver Bullet?

Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula

AIDB | August 2021

Publication

Hyperspace: The Indexing Subsystem of Azure Synapse

Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Andrew Fogarty, Pouria Pirzadeh, Vidip Acharya, Gurleen Dhody, Jiying Li, Sinduja Ramanujam, Nicolas Bruno, Cesar Galindo-Legaria, Vivek Narasayya, Surajit Chaudhuri, Anil K. Nori, Tomas Talius, Raghu Ramakrishnan

Proceedings of the VLDB Endowment (VLDB 2021) | August 2021

Github

Publication

The Case for ML-Enhanced High-Dimensional Indexes

Rong Kang, Wentao Wu, Chen Wang, Ce Zhang, Jianmin Wang

AIDB@VLDB 2021 | July 2021

Video

Seagull: ML Infrastructure for Load Prediction and Optimized Resource Allocation, VLDB 2021

July 29, 2021 | Olga Poppe

Microsoft Azure is dedicated to guarantee high quality of service to its customers, in particular, during periods of high customer activity, while controlling cost. We employ a Data Science (DS) driven solution to predict user…

07:51

Publication

AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization

Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu

IEEE Transactions on Visualization and Computer Graphics (Early Access) | July 2021

Publication

COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)

Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya

MSR-TR-2021-13 | July 2021

Published by Microsoft Research

Webinar

Create human-centered AI with the Human-AI eXperience (HAX) Toolkit webinar

July 21, 2021 | Virtual

To assist AI practitioners in building human-centered AI, we are introducing the Human-AI eXperience (HAX) Toolkit. This suite of tools spans the end-to-end product development lifecycle, providing support where AI practitioners have requested it. In…

Images of Mihaela Vorvoreanu and Saleema Amershi next to webinar title Create human-centered AI with the Human-AI eXperience (HAX) Toolkit

Publication

Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning

Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui

2021 International Conference on Machine Learning (ICML) | July 2021

Data platforms and analytics

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