The following publications are possibly variants of this publication:
- Adversarial robustness of deep neural networks: A survey from a formal verification perspectiveMeng, Mark Huasong, Bai, Guangdong, Teo, Sin Gee, Hou, Zhe, Xiao, Yan, Lin, Yun, Dong, Jin Song. IEEE Transactions on Dependable and Secure Computing, , 2022.
- Adaptive and Efficient Qubit Allocation Using Reinforcement Learning in Quantum NetworksYanan Gao, Song Yang 0002, Fan Li, Xiaoming Fu 0001. network, 36(5):48-54, 2022. [doi]
- Urban Traffic Prediction from Mobility Data Using Deep LearningZhidan Liu, Zhenjiang Li, Kaishun Wu, Mo Li. network, 32(4):40-46, 2018. [doi]
- Mobile big data analytics using deep learning and apache sparkMohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee Pink Tan, Zhu Han. network, 30(3):22-29, 2016. [doi]
- Simultaneous Refinement and Coarsening: Adaptive Meshing with Moving BoundariesXiang-Yang Li, Shang-Hua Teng, Alper Üngör. pimrc 1998: 201-210 [doi]
- Deep Learning Based Inference of Private Information Using Embedded Sensors in Smart DevicesYi Liang, Zhipeng Cai, Jiguo Yu, Qilong Han, Yingshu Li. network, 32(4):8-14, 2018. [doi]