19 citations · 47 across the 10 of their papers we have counts for
10 papers
SWIRL: Interactive Sensemaking of Tool-Generated Warnings through Customized Summaries
Burak Yetiştiren, Hong Jin Kang, Miryung Kim
Programmers using bug-finding tools often review their reported warnings one by one. Based on the insight that identifying recurring themes and relationships can enhance the cognit…
Sibylvariant Transformations for Robust Text Classification
Fabrice Harel-Canada, Muhammad Ali Gulzar, Nanyun Peng +1
The vast majority of text transformation techniques in NLP are inherently limited in their ability to expand input space coverage due to an implicit constraint to preserve the orig…
Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory
Chenxi Wang, Yifan Qiao, Haoran Ma +6
Remote memory techniques for datacenter applications have recently gained a great deal of popularity. Existing remote memory techniques focus on the efficiency of a single applicat…
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
John Thorpe, Yifan Qiao, Jonathan Eyolfson +8
A graph neural network (GNN) enables deep learning on structured graph data. There are two major GNN training obstacles: 1) it relies on high-end servers with many GPUs which are e…
Efficient Fuzz Testing for Apache Spark Using Framework Abstraction
Qian Zhang, Jiyuan Wang, Muhammad Ali Gulzar +2
The emerging data-intensive applications are increasingly dependent on data-intensive scalable computing (DISC) systems, such as Apache Spark, to process large data. Despite their…
A Declarative Metamorphic Testing Framework for Autonomous Driving
Yao Deng, Xi Zheng, Tianyi Zhang +4
Autonomous driving has gained much attention from both industry and academia. Currently, Deep Neural Networks (DNNs) are widely used for perception and control in autonomous drivin…
An ensemble learning approach for software semantic clone detection
Min Fu, Gang Luo, Xi Zheng +3
Code clone is a serious problem in software and has the potential to software defects, maintenance overhead, and licensing violations. Therefore, clone detection is important for r…
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models
Yao Deng, Xi Zheng, Tianyi Zhang +3
Nowadays, autonomous driving has attracted much attention from both industry and academia. Convolutional neural network (CNN) is a key component in autonomous driving, which is als…
Analyzing and Supporting Adaptation of Online Code Examples
Tianyi Zhang, Di Yang, Cristina Videira Lopes +1
Developers often resort to online Q&A forums such as Stack Overflow (SO) for filling their programming needs. Although code examples on those forums are good starting points, they…
Active Inductive Logic Programming for Code Search
Aishwarya Sivaraman, Tianyi Zhang, Guy Van den Broeck +1
Modern search techniques either cannot efficiently incorporate human feedback to refine search results or to express structural or semantic properties of desired code. The key insi…