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Yongshan Liu
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2020 – today
- 2023
- [j7]Zhangqi Zheng
, Yongshan Liu, Bing Zhang
, Xinqian Liu, Hongyan He, Xiang Gong:
A multitype software buffer overflow vulnerability prediction method based on a software graph structure and a self-attentive graph neural network. Inf. Softw. Technol. 160: 107246 (2023) - [j6]Zhangqi Zheng
, Yongshan Liu, Bing Zhang, Jiadong Ren, Yongsheng Zong, Qian Wang, Xiaolei Yang, Qian Liu:
Software defect prediction method based on the heterogeneous integration algorithm. J. Intell. Fuzzy Syst. 45(3): 4807-4824 (2023) - 2022
- [j5]Zhangqi Zheng
, Bing Zhang, Yongshan Liu, Jiadong Ren, Xuyang Zhao, Qian Wang:
An approach for predicting multiple-type overflow vulnerabilities based on combination features and a time series neural network algorithm. Comput. Secur. 114: 102572 (2022) - 2021
- [j4]Yongshan Liu, Tianbao Hao
, Xiang Gong
, Dehan Kong
, Jianjun Wang
:
Research on Hybrid Index Based on 3D Multi-Level Adaptive Grid and R+ Tree. IEEE Access 9: 146010-146022 (2021) - [j3]Yongshan Liu, Jianjun Wang
, Haitao He, Guoyan Huang, Weibo Shi:
Identifying important nodes affecting network security in complex networks. Int. J. Distributed Sens. Networks 17(2): 155014772199928 (2021) - 2020
- [j2]Yongshan Liu, Xiang Gong
, Dehan Kong
, Tianbao Hao
, Xiaoqi Yan:
A Voronoi-Based Group Reverse k Farthest Neighbor Query Method in the Obstacle Space. IEEE Access 8: 50659-50673 (2020)
2010 – 2019
- 2019
- [c3]Yifei He, Yongshan Liu, Xingshuai Zhu:
Application of Improved SRCKF for Strapdown Seeker. CACRE 2019: 4:1-4:6 - 2016
- [c2]Chao Wang, Yongshan Liu, Jianmei Song:
A hardware-in-the-loop simulation for LOS rate estimation of strapdown seeker based on EKF. ICARCV 2016: 1-5 - 2014
- [j1]Xiaoying Gu, Yongshan Liu, Xuefang Yan:
Node Selection Algorithm for Peer-to-Peer Network in 3D Virtual Scene. J. Softw. 9(6): 1509-1513 (2014) - [c1]Hongyan Wang, Jing Ma, Yongshan Liu, Wenyuan Liu, Lin Wang:
Bi-directional Probing for Neighbor Discovery. CSE 2014: 1369-1375
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last updated on 2024-08-05 20:23 CEST by the dblp team
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