Zhiqiang Wang, Sicheng Yuan, Ying Zhang, Xudong Chen, Zilong Xiao, Vol. 19, No. 4, April 30, 2025
10.3837/tiis.2025.04.012

• Linux kernel
• Fuzz Testing
• Deep Learning
• generative adversarial networks
• test case generation

Liping Zhang, Minming Xu, Song Li, Vol. 19, No. 3, March 31, 2025
10.3837/tiis.2025.03.005

• knowledge graph completion
• generative adversarial networks
• Markov Process
• Graph Convolutional Neural Network
• Dual-Delay Deep Deterministic Policy Gradient based on Correlation and Attention Mechanisms

Li Ting, Zhang Jinbiao, Vol. 18, No. 5, May 31, 2024
10.3837/tiis.2024.05.012

• channel estimation
• Instantaneous Channel
• Quantum Generative Adversarial Networks
• MSE Optimization

Xiangyu Ma, Yuntao Zhao, Yongxin Feng, Yutao Hu, Vol. 18, No. 2, February 29, 2024
10.3837/tiis.2024.02.010

• Malware
• generative adversarial networks
• Deep Learning
• Pixel Attention Mechanism
• Adversarial Samples

Yongjun Choi, Beomjoo Seo, Shinjin Kang, Jongin Choi, Vol. 17, No. 7, July 31, 2023
10.3837/tiis.2023.07.003

• Generative Adversarial Networks (GANs)
• 2D Sprite Animation
• Deep Learning
• Game Development
• Impersonator Model

Saima Majeed, Ammar Ul Hassan, Jaeyoung Choi, Vol. 16, No. 4, April 30, 2022
10.3837/tiis.2022.04.005

• generative adversarial networks
• Hangul Fonts
• Image-to-Image Translation
• Style Transfer

Liquan Zhao, Yupeng Zhang, Vol. 15, No. 12, December 31, 2021
10.3837/tiis.2021.12.004

• Artificial intelligence
• generative adversarial networks
• Attention Mechanism
• Random samples

Jieren Cheng, Yue Yang, Xiangyan Tang, Naixue Xiong, Yuan Zhang, Feifei Lei, Vol. 14, No. 12, December 31, 2020
10.3837/tiis.2020.12.001

• generative adversarial networks
• Artificial intelligence
• Generative Model
• Deep Learning
• Security

Bin Wu, Le Liu, Zhengge Dai, Xiujuan Wang, Kangfeng Zheng, Vol. 13, No. 11, November 30, 2019
10.3837/tiis.2019.11.018

• malicious robots
• social robots detection
• generative adversarial networks
• supervised classification
• unbalanced data

Cong Hu, Xiao-Jun Wu, Zhen-Qiu Shu, Vol. 13, No. 11, November 30, 2019
10.3837/tiis.2019.11.009

• representation learning
• Unsupervised Learning
• generative adversarial networks
• deep convolutional autoencoders
• Bagging