Yongshan Liu

18 papers C 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differential privacy label random flipping algorithm under federated logistic regression framework.
Comput. Electr. Eng.
Siyuan He, Xiaolei Yang, Haisu Song, Yongshan Liu, Junhui Song
2026 J jnl
From local bias to global consensus: Group-wise prototype federated learning under heterogeneous and cross-domain settings.
Inf. Sci.
Afei Li, Junhui Song, Zhangqi Zheng, Zhixin Xia, Jiadong Ren, Yongshan Liu
2025 J jnl
A Spatio-Temporal Tensor Graph Neural Network-Based Method for Node-Link Prediction in Port Networks.
IEEE Access
Zhixin Xia, Zhangqi Zheng, Feiyang Wei, Yongshan Liu, Lu Yu
2025 J jnl
A neural network grey model based on dynamical system characteristics and its application in predicting carbon emissions and energy consumption in China.
Expert Syst. Appl.
Chenglin He, Huiming Duan, Yongshan Liu
2025 J jnl
Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization.
CoRR
Zuyu Zhang, Ning Chen, Yongshan Liu, Qinghua Zhang, Xu Zhang
2024 J jnl
Credit risk prediction for small and micro enterprises based on federated transfer learning frozen network parameters.
J. Netw. Comput. Appl.
Xiaolei Yang, Zhixin Xia, Junhui Song, Yongshan Liu
2024 J jnl
Overview of Privacy Set Intersection Protocol Based on Heterogeneous Network and Social Network User Alignment.
IEEE Trans. Netw. Sci. Eng.
Xiaolei Yang, Yongshan Liu, Siyuan He
2024 J jnl
PSO-GA Hyperparameter Optimized ResNet-BiGRU-Based Intrusion Detection Method.
IEEE Access
Zhixin Xia, Siyuan He, Changwei Liu, Yongshan Liu, Xiaolei Yang, Huifeng Bu
2023 J jnl
A multitype software buffer overflow vulnerability prediction method based on a software graph structure and a self-attentive graph neural network.
Inf. Softw. Technol.
Zhangqi Zheng, Yongshan Liu, Bing Zhang, Xinqian Liu, Hongyan He, Xiang Gong
2023 J jnl
Software defect prediction method based on the heterogeneous integration algorithm.
J. Intell. Fuzzy Syst.
Zhangqi Zheng, Yongshan Liu, Bing Zhang, Jiadong Ren, Yongsheng Zong, Qian Wang, Xiaolei Yang, Qian Liu
2022 J jnl
An approach for predicting multiple-type overflow vulnerabilities based on combination features and a time series neural network algorithm.
Comput. Secur.
Zhangqi Zheng, Bing Zhang, Yongshan Liu, Jiadong Ren, Xuyang Zhao, Qian Wang
2021 J jnl
Identifying important nodes affecting network security in complex networks.
Int. J. Distributed Sens. Networks
Yongshan Liu, Jianjun Wang, Haitao He, Guoyan Huang, Weibo Shi
2021 J jnl
Research on Hybrid Index Based on 3D Multi-Level Adaptive Grid and R+ Tree.
IEEE Access
Yongshan Liu, Tianbao Hao, Xiang Gong, Dehan Kong, Jianjun Wang
2020 J jnl
A Voronoi-Based Group Reverse k Farthest Neighbor Query Method in the Obstacle Space.
IEEE Access
Yongshan Liu, Xiang Gong, Dehan Kong, Tianbao Hao, Xiaoqi Yan
2019 — conf
Application of Improved SRCKF for Strapdown Seeker.
CACRE
Yifei He, Yongshan Liu, Xingshuai Zhu
2016 C conf
A hardware-in-the-loop simulation for LOS rate estimation of strapdown seeker based on EKF.
ICARCV
Chao Wang, Yongshan Liu, Jianmei Song
2014 — conf
Bi-directional Probing for Neighbor Discovery.
CSE
Hongyan Wang, Jing Ma, Yongshan Liu, Wenyuan Liu, Lin Wang
2014 J jnl
Node Selection Algorithm for Peer-to-Peer Network in 3D Virtual Scene.
J. Softw.
Xiaoying Gu, Yongshan Liu, Xuefang Yan