Jianmin Guo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Multiobjective Genetic Algorithm

Learning Systems

Video Classification

Top Venues

IEEE Trans. Reliab.

Publications

Yu Zhan, Ying Fu, Liang Huang, Jianmin Guo, Heyuan Shi, Houbing Song, Chao Hu
Cube-Evo: A Query-Efficient Black-Box Attack on Video Classification System. IEEE Trans. Reliab. 73 (2) (2024)
Haiyan Tian, Jianmin Guo, Shugui Kang
SIRSM Model with Media Information Influence. ICIS (2023)
Binyou Wang, Jianmin Guo, Xiaofeng Liu, Yang Yu, Jianming Wu, Yiwei Wang
Prediction of the effects of small molecules on the gut microbiome using machine learning method integrating with optimal molecular features. BMC Bioinform. 24 (1) (2023)
Jianmin Guo, Caixia Guo, Shugui Kang
Stability Analysis and $\mathcal{H}_{\infty}$ Control for Singular LPV Systems with Time-Delay. ICIS (2023)
Jianmin Guo, Jialong Su
Study of Multiobjective Genetic Algorithm on Taylor External Fixation. IEEE Access 10 (2022)
Jianmin Guo, Quan Zhang, Yue Zhao, Heyuan Shi, Yu Jiang, Jia-Guang Sun
RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems. IEEE Trans. Software Eng. 48 (10) (2022)
Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. DAC (2021)
Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang
AdvDoor: adversarial backdoor attack of deep learning system. ISSTA (2021)
Jianmin Guo, Yue Zhao, Houbing Song, Yu Jiang
Coverage Guided Differential Adversarial Testing of Deep Learning Systems. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. CoRR (2021)
Jianmin Guo, Yue Zhao, Xueying Han, Yu Jiang, Jiaguang Sun
RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems. CoRR (2019)
Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, Yu Jiang
LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics. CoRR (2019)
Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, Yu Jiang
Leopard: identifying vulnerable code for vulnerability assessment through program metrics. ICSE (2019)
Jianmin Guo, Yu Jiang, Yue Zhao, Quan Chen, Jiaguang Sun
DLFuzz: Differential Fuzzing Testing of Deep Learning Systems. CoRR (2018)
Jianmin Guo, Yu Jiang, Yue Zhao, Quan Chen, Jiaguang Sun
DLFuzz: differential fuzzing testing of deep learning systems. ESEC/SIGSOFT FSE (2018)
Jianmin Guo, Shiwang Ma, Guang Zhang
Solutions of the autonomous Kirchhoff type equations in RN. Appl. Math. Lett. 82 (2018)
Cheng Chang, Hao Huan, Jianmin Guo, Ran Tao
Complementary peak reducing signals for TDCS PAPR reduction. IET Commun. 11 (6) (2017)