activity
20112023
most citedAdversarial Robustness of Deep Code Comment Generation

49 citations · 103 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SE2023★ 1 cited

Assessing and Improving Syntactic Adversarial Robustness of Pre-trained Models for Code Translation

Guang Yang, Yu Zhou, Xiangyu Zhang +3

Context: Pre-trained models (PTMs) have demonstrated significant potential in automatic code translation. However, the vulnerability of these models in translation tasks, particula…

cs.SE2023

A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation

Guang Yang, Yu Zhou, Xiang Chen +4

Due to the development of pre-trained language models, automated code generation techniques have shown great promise in recent years. However, the generated code is difficult to me…

cs.SE2023

Test Reuse Based on Adaptive Semantic Matching across Android Mobile Applications

Shuqi Liu, Yu Zhou, Tingting Han +1

Automatic test generation can help verify and develop the behavior of mobile applications. Test reuse based on semantic similarities between applications of the same category has b…

cs.SE2022★ 1 cited

DRIVE: Dockerfile Rule Mining and Violation Detection

Yu Zhou, Weilin Zhan, Zi Li +3

A Dockerfile defines a set of instructions to build Docker images, which can then be instantiated to support containerized applications. Recent studies have revealed a considerable…

cs.SE2021★ 49 cited

Adversarial Robustness of Deep Code Comment Generation

Yu Zhou, Xiaoqing Zhang, Juanjuan Shen +3

Deep neural networks (DNNs) have shown remarkable performance in a variety of domains such as computer vision, speech recognition, or natural language processing. Recently they als…

cs.CV2020★ 17 cited

Finger Texture Biometric Characteristic: a Survey

Raid R. O. Al-Nima, Tingting Han, Taolue Chen +2

\begin{abstract} In recent years, the Finger Texture (FT) has attracted considerable attention as a biometric characteristic. It can provide efficient human recognition performance…

cs.LO2017

Polynomial-time Algorithms for Computing Distances of Fuzzy Transition Systems

Taolue Chen, Tingting Han, Yongzhi Cao

Behaviour distances to measure the resemblance of two states in a (nondeterministic) fuzzy transition system have been proposed recently in the literature. Such a distance, defined…

cs.LO2013★ 3 cited

Modal Specifications for Probabilistic Timed Systems

Tingting Han, Christian Krause, Marta Kwiatkowska +1

Modal automata are a classic formal model for component-based systems that comes equipped with a rich specification theory supporting abstraction, refinement and compositional reas…

cs.LO2011★ 32 cited

Model Checking of Continuous-Time Markov Chains Against Timed Automata Specifications

Taolue Chen, Tingting Han, Joost-Pieter Katoen +1

We study the verification of a finite continuous-time Markov chain (CTMC) C against a linear real-time specification given as a deterministic timed automaton (DTA) A with finite or…