Zhengfei Yu

According to our database, Zhengfei Yu authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Confidence-based and sample-reweighted test-time adaptation.

Hao Yang, Min Wang, Zhengfei Yu, Hang Zhang, Jinshen Jiang, Yun Zhou

Knowl. Based Syst., January, 2024

Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness.

Hao Yang, Min Wang, Qi Wang, Zhengfei Yu, Guangyin Jin, Chunlai Zhou, Yun Zhou

Inf. Fusion, 2024

Maximizing Feature Distribution Variance for Robust Neural Networks.

Hao Yang, Min Wang, Zhengfei Yu, Zhi Zeng, Mingrui Lao, Yun Zhou

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Fungal names: a comprehensive nomenclatural repository and knowledge base for fungal taxonomy.

Fang Wang, Ke Wang, Lei Cai, Mingjun Zhao, Paul M. Kirk, Guomei Fan, Qinglan Sun, Bo Li, Shuai Wang, Zhengfei Yu, Dong Han, Juncai Ma, Linhuan Wu, Yijian Yao

Nucleic Acids Res., January, 2023

A Simple Stochastic Neural Network for Improving Adversarial Robustness.

Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Weight-based Regularization for Improving Robustness in Image Classification.

Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

VarEPS: an evaluation and prewarning system of known and virtual variations of SARS-CoV-2 genomes.

Qinglan Sun, Chang Shu, Wenyu Shi, Yingfeng Luo, Guomei Fan, Jingyi Nie, Yuhai Bi, Qihui Wang, Jianxun Qi, Jian Lu, Yuanchun Zhou, Zhihong Shen, Zhen Meng, Xinjiao Zhang, Zhengfei Yu, Shenghan Gao, Linhuan Wu, Juncai Ma, Songnian Hu

Nucleic Acids Res., 2022

A review of knowledge graph application scenarios in cyber security.

Kai Liu, Fei Wang, Zhaoyun Ding, Sheng Liang, Zhengfei Yu, Yun Zhou

CoRR, 2022

Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness.

Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou

CoRR, 2022

Towards Robust Graph Convolution Network via Stochastic Activation.

Zhengfei Yu, Hao Yang, Lin Wang, Lijian Sun, Yun Zhou

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

2021

MOOC Dropout Prediction Based on Dynamic Embedding Representation Learning.

Lin Wang, Zhengfei Yu, Mengru Wang, Xixi Zhu, Yun Zhou

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

2020

How Can We Deal With Adversarial Examples?

Zhengfei Yu, Yun Zhou, Weiming Zhang

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020