activity
20162022
most citedALERT: Accurate Learning for Energy and Timeliness

13 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DB2022★ 3 cited

Leveraging Application Data Constraints to Optimize Database-Backed Web Applications

Xiaoxuan Liu, Shuxian Wang, Mengzhu Sun +7

Exploiting the relationships among data is a classical query optimization technique. As persistent data is increasingly being created and maintained programmatically, prior work th…

cs.SE2021

LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection

Yongzheng Xie, Hongyu Zhang, Bo Zhang +2

Log analysis is an important technique that engineers use for troubleshooting faults of large-scale service-oriented systems. In this study, we propose a novel semi-supervised log-…

cs.LG2020★ 3 cited

Orthogonalized SGD and Nested Architectures for Anytime Neural Networks

Chengcheng Wan, Henry Hoffmann, Shan Lu +1

We propose a novel variant of SGD customized for training network architectures that support anytime behavior: such networks produce a series of increasingly accurate outputs over…

cs.PF2019★ 13 cited

ALERT: Accurate Learning for Energy and Timeliness

Chengcheng Wan, Muhammad Santriaji, Eri Rogers +3

An increasing number of software applications incorporate runtime Deep Neural Networks (DNNs) to process sensor data and return inference results to humans. Effective deployment of…

cs.DC2017

Understanding and Auto-Adjusting Performance-Related Configurations

Shu Wang, Chi Li, William Sentosa +2

Modern software systems are often equipped with hundreds to thousands of configuration options, many of which greatly affect performance. Unfortunately, properly setting these conf…

cs.DB2016

Database-Backed Web Applications in the Wild: How Well Do They Work?

Cong Yan, Alvin Cheung, Shan Lu

Most modern database-backed web applications are built upon Object Relational Mapping (ORM) frameworks. While ORM frameworks ease application development by abstracting persistent…