14 citations · 29 across the 8 of their papers we have counts for
8 papers
Data Caching for Enterprise-Grade Petabyte-Scale OLAP
Chunxu Tang, Bin Fan, Jing Zhao +18
With the exponential growth of data and evolving use cases, petabyte-scale OLAP data platforms are increasingly adopting a model that decouples compute from storage. This shift, ev…
Rethinking the Cloudonomics of Efficient I/O for Data-Intensive Analytics Applications
Chunxu Tang, Yi Wang, Bin Fan +8
This paper explores a prevailing trend in the industry: migrating data-intensive analytics applications from on-premises to cloud-native environments. We find that the unique cost…
Metadata Caching in Presto: Towards Fast Data Processing
Beinan Wang, Chunxu Tang, Rongrong Zhong +6
Presto is an open-source distributed SQL query engine for OLAP, aiming for "SQL on everything". Since open-sourced in 2013, Presto has been consistently gaining popularity in large…
Serving Hybrid-Cloud SQL Interactive Queries at Twitter
Chunxu Tang, Beinan Wang, Huijun Wu +10
The demand for data analytics has been consistently increasing in the past years at Twitter. In order to fulfill the requirements and provide a highly scalable and available query…
A Parallel Implementation of Computing Mean Average Precision
Beinan Wang
Mean Average Precision (mAP) has been widely used for evaluating the quality of object detectors, but an efficient implementation is still absent. Current implementations can only…
CWcollab: A Context-Aware Web-Based Collaborative Multimedia System
Chunxu Tang, Beinan Wang, C. Y. Roger Chen +1
Remote collaboration tools for conferencing and presentation are gaining significant popularity during the COVID-19 pandemic period. Most prior work has issues, such as a) limited…
Forecasting SQL Query Cost at Twitter
Chunxu Tang, Beinan Wang, Zhenxiao Luo +11
With the advent of the Big Data era, it is usually computationally expensive to calculate the resource usages of a SQL query with traditional DBMS approaches. Can we estimate the c…
Feedbackward Decoding for Semantic Segmentation
Beinan Wang, John Glossner, Daniel Iancu +1
We propose a novel approach for semantic segmentation that uses an encoder in the reverse direction to decode. Many semantic segmentation networks adopt a feedforward encoder-decod…