Yongshan Liu

According to our database, Yongshan Liu authored at least 18 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

From local bias to global consensus: Group-wise prototype federated learning under heterogeneous and cross-domain settings.

Afei Li, Junhui Song, Zhangqi Zheng, Zhixin Xia, Jiadong Ren, Yongshan Liu

Inf. Sci., 2026

Differential privacy label random flipping algorithm under federated logistic regression framework.

Siyuan He, Xiaolei Yang, Haisu Song, Yongshan Liu, Junhui Song

Comput. Electr. Eng., 2026

2025

A neural network grey model based on dynamical system characteristics and its application in predicting carbon emissions and energy consumption in China.

Chenglin He, Huiming Duan, Yongshan Liu

Expert Syst. Appl., 2025

A Spatio-Temporal Tensor Graph Neural Network-Based Method for Node-Link Prediction in Port Networks.

Zhixin Xia, Zhangqi Zheng, Feiyang Wei, Yongshan Liu, Lu Yu

IEEE Access, 2025

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization.

Zuyu Zhang, Ning Chen, Yongshan Liu, Qinghua Zhang, Xu Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Overview of Privacy Set Intersection Protocol Based on Heterogeneous Network and Social Network User Alignment.

Xiaolei Yang, Yongshan Liu, Siyuan He

IEEE Trans. Netw. Sci. Eng., 2024

Credit risk prediction for small and micro enterprises based on federated transfer learning frozen network parameters.

Xiaolei Yang, Zhixin Xia, Junhui Song, Yongshan Liu

J. Netw. Comput. Appl., 2024

PSO-GA Hyperparameter Optimized ResNet-BiGRU-Based Intrusion Detection Method.

Zhixin Xia, Siyuan He, Changwei Liu, Yongshan Liu, Xiaolei Yang, Huifeng Bu

IEEE Access, 2024

2023

A multitype software buffer overflow vulnerability prediction method based on a software graph structure and a self-attentive graph neural network.

Zhangqi Zheng, Yongshan Liu, Bing Zhang, Xinqian Liu, Hongyan He, Xiang Gong

Inf. Softw. Technol., August, 2023

Software defect prediction method based on the heterogeneous integration algorithm.

Zhangqi Zheng, Yongshan Liu, Bing Zhang, Jiadong Ren, Yongsheng Zong, Qian Wang, Xiaolei Yang, Qian Liu

J. Intell. Fuzzy Syst., 2023

2022

An approach for predicting multiple-type overflow vulnerabilities based on combination features and a time series neural network algorithm.

Zhangqi Zheng, Bing Zhang, Yongshan Liu, Jiadong Ren, Xuyang Zhao, Qian Wang

Comput. Secur., 2022

2021

Identifying important nodes affecting network security in complex networks.

Yongshan Liu, Jianjun Wang, Haitao He, Guoyan Huang, Weibo Shi

Int. J. Distributed Sens. Networks, 2021

Research on Hybrid Index Based on 3D Multi-Level Adaptive Grid and R+ Tree.

Yongshan Liu, Tianbao Hao, Xiang Gong, Dehan Kong, Jianjun Wang

IEEE Access, 2021

2020

A Voronoi-Based Group Reverse k Farthest Neighbor Query Method in the Obstacle Space.

Yongshan Liu, Xiang Gong, Dehan Kong, Tianbao Hao, Xiaoqi Yan

IEEE Access, 2020

2019

Application of Improved SRCKF for Strapdown Seeker.

Yifei He, Yongshan Liu, Xingshuai Zhu

Proceedings of the 2019 4th International Conference on Automation, 2019

2016

A hardware-in-the-loop simulation for LOS rate estimation of strapdown seeker based on EKF.

Chao Wang, Yongshan Liu, Jianmei Song

Proceedings of the 14th International Conference on Control, 2016

2014

Node Selection Algorithm for Peer-to-Peer Network in 3D Virtual Scene.

Xiaoying Gu, Yongshan Liu, Xuefang Yan

J. Softw., 2014

Bi-directional Probing for Neighbor Discovery.

Hongyan Wang, Jing Ma, Yongshan Liu, Wenyuan Liu, Lin Wang

Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014