DeepMutation++: A mutation testing framework for deep learning systems

by HU, Qiang, MA, Lei, XIE, Xiaofei, YU, Bing, LIU, Yang, ZHAO, Jianjun
Published 2019

LaF: Labeling-free model selection for automated deep neural network reusing

by HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, PAPADAKIS, Mike, TRAON, Yves Le
Published 2023

KAPE: kNN-based performance testing for deep code search

by GUO, Yuejun, HU, Qiang, XIE, Xiaofei, MAXIME, Cordy, PAPADAKIS, Mike, LE TRAON, Yves
Published 2023

An empirical study on data distribution-aware test selection for deep learning enhancement

by HU, Qiang, GUO, Yuejun, CORDY, Maxime, XIE, Xiaofei, MA, Lei, PAPADAKIS, Mike, LE TRAON, Yves
Published 2022

Aries: Efficient testing of deep neural networks via labeling-free accuracy estimation

by HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, MA, Lei, PAPADAKIS, Mike, LE TRAON, Yves
Published 2023

CodeS: Towards code model generalization under distribution shift

by HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, MA, Lei, PAPADAKIS, Mike, TRAON, Yves Le
Published 2023

A black-box attack on code models via representation nearest Neighbor search

by ZHANG, Jie, MA, Wei, HU, Qiang, Liu, Shangqing, XIE, Xiaofei, LE Traon, Yves, LIU, Yang
Published 2023

Active code learning: Benchmarking sample-efficient training of code models

by HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, MA, Lei, PAPADAKIS, Mike, TRAON, Yves Le
Published 2024

Test optimization in DNN testing: A survey

by HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, MA, Lei, PAPADAKIS, Mike, LE TRAON, Yves
Published 2024

Towards characterizing adversarial defects of deep learning software from the lens of uncertainty

by ZHANG, Xiyue, XIE, Xiaofei, MA, Lei, DU, Xiaoning, HU, Qiang, LIU, Yang, ZHAO, Jianjun, SUN, Meng
Published 2020

Unveiling code pre-trained models: Investigating syntax and semantics capacities

by MA, Wei, LIU, Shangqing, ZHAO, Mengjie, XIE, Xiaofei, WANG, Wenhang, HU, Qiang, ZHANG, Jie, YANG, Liu
Published 2024

An empirical study towards characterizing deep learning development and deployment across different frameworks and platforms

by GUO, Qianyu, CHEN, Sen, XIE, Xiaofei, MA, Lei, HU, Qiang, LIU, Hongtao, LIU, Yang, ZHAO, Jianjun, LI, Xiaohong
Published 2019

GraphCode2Vec: Generic code embedding via lexical and program dependence analyses

by MA, Wei, ZHAO, Mengjie, SOREMEKUN, Ezekiel, HU, Qiang, ZHANG, Jie M., PAPADAKIS, Mike, CORDY, Maxime, Xiaofei XIE, LE TRAON, Yves
Published 2022

Thermo-chemical conversion of carbonaceous wastes for CNT and hydrogen production: A review

by Zhang, Ye Shui, Zhu, Hua Lun, Yao, Dingding, Williams, Paul T., Wu, Chunfei, Xu, Dan, Hu, Qiang, Manos, George, Yu, Lu, Zhao, Ming, Shearing, Paul R., Brett, Dan J. L.
Published 2022