Peishun Liu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 21

Top Topics

Unsupervised Learning

Proxy Signature

Underwater Acoustic

Top Venues

Future Gener. Comput. Syst.

Publications

Shuo Xu, Hui Xia, Peishun Liu, Rui Zhang, Hao Chi, Wei Gao
FLPM: A property modification scheme for data protection in federated learning. Future Gener. Comput. Syst. 154 (2024)
Shuo Xu, Hui Xia, Rui Zhang, Peishun Liu, Yu Fu
FedNor: A robust training framework for federated learning based on normal aggregation. Inf. Sci. 684 (2024)
Nan Sun, Ning Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peishun Liu, Xiaodong Wang, Haipeng Qu
Lazy Machine Unlearning Strategy for Random Forests. WISA (2023)
Jiawen He, Xiaolei Li, Peishun Liu, Liang Wang, Hao Zhou, Jinyu Wang, Ruichun Tang
Ensemble deep random vector functional link for self-supervised direction-of-arrival estimation. Eng. Appl. Artif. Intell. 120 (2023)
Zhipeng Zhao, Jianjun Zhang, Peishun Liu, Hanqing Liu, Yixin Chen, Charles Li, Xianchang Liu, Ruichun Tang
Semi-supervised 3D Medical Image Segmentation Using Transformer and CNN. ICDIP (2023)
Qing Guo, Jianjun Zhang, Peishun Liu, Xianchang Liu, Qinshuo Wang, Ruichun Tang
Synthesizing PET Scans Using Attention GAN Based on MRI Scans and Alzheimer's Disease Information. ICDIP (2023)
Zhipeng Zhao, Jiawen He, Ruichun Tang, Peishun Liu, Youwei Zhao
Sin Oc_sort: Multi-Object tracking by Re-Correct the equations of motion. MLMI (2023)
Zhen Zhang, Peishun Liu, Wenqiang Ge, Yiwan Lai
Remaining useful life prediction of lithium-ion battery based on new health factor in long short-term memory network. ICDLT (2023)
Gaozhou Wang, Linlin Tang, Ziyuan Yang, Li Yan, Peishun Liu, Haipeng Qu
Deep CNN- RNN with Self- Attention Model for Electric IoT Traffic Classification. ICBASE (2023)
Hao Zhou, Xuening Wang, Peishun Liu, Liang Wang, Ruichun Tang
UATR-MSG-Transformer: A Deep Learning Network for Underwater Acoustic Target Recognition Based on Spectrogram Feature Fusion and Transformer with Messenger Tokens. ICDIP (2023)
Yance Fang, Yucheng Xie, Peishun Liu
Research on A Three-Dimensional Attention Module. ACCC (2022)
Shanzhi Yu, Fucheng Yang, Rongjia Han, Haiping Duan, Feifei Li, Peishun Liu
Improved SEIR Model Based on Recovery Rate Optimization to Predict COVID-19. ACCC (2022)
Qingmei Zhang, Peishun Liu, Xue Wang, Yaqun Zhang, Yu Han, Bin Yu
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier. Appl. Soft Comput. 99 (2021)
Xi Jun Lin, Qihui Wang, Lin Sun, Zhen Yan, Peishun Liu
Security Analysis of the First Certificateless Proxy Signature Scheme Against Malicious-But-Passive KGC Attacks. Comput. J. 64 (4) (2021)
Jiawen He, Peishun Liu, Liang Wang, Ruichun Tang
Super-Resolution Estimation of Signal Direction Based on Unsupervised Learning. ACCC (2021)
Guanghui Xing, Peishun Liu, Hui Zhang, Ruichun Tang, Yaguang Yin
A Two-Stream Network for Underwater Acoustic Target Classification. ICRAI (2020)
Hui Zhang, Nianhao Xiao, Peishun Liu, Zhicheng Wang, Ruichun Tang
G-RNN-GAN for Singing Voice Separation. ICMSSP (2020)
Xiaohan Yin, Xiaodong Sun, Peishun Liu, Liang Wang, Ruichun Tang
Underwater Acoustic Target Classification Based on LOFAR Spectrum and Convolutional Neural Network. AIAM (2020)
Hang Gong, Peishun Liu
High Beam Detection Method Based on Deep Learning. IEEE BigData (2020)
Xiaodong Sun, Xiaohan Yin, Yaguang Yin, Peishun Liu, Liang Wang, Ruichun Tang
Underwater Acoustic Target Recognition Based on ReLU Gated Recurrent Unit. ICRAI (2020)
Xiaolu Chu, Peishun Liu
基于公私属性的多授权中心加密方案 (Multi-authority Encryption Scheme Based on Public and Private Attributes). 计算机科学 45 (11) (2018)
Peishun Liu, Xuefang Wang
Identification of Malicious Web Pages by Inductive Learning. WISM (2009)
Xue-fang Wang, Peishun Liu
A Method for Constructing Lattice Implication Algebras on the Interval [0, 1]. FSKD (1) (2008)
Peishun Liu, Xue-fang Wang
Models for Lattice-Valued First-Order Logic LF(X). FSKD (1) (2008)
Hao Li, Peishun Liu
An Identification System Combined with Fingerprint and Cryptography. IMSCCS (2) (2006)
Qingjiang Wang, Yun Gao, Peishun Liu
Hill Climbing-Based Decentralized Job Scheduling on Computational Grids. IMSCCS (1) (2006)
Peishun Liu, Jianbo Wang, Dake He
Worm detection using CPN. SMC (5) (2004)
Xuefang Wang, Peishun Liu
Model theory and closure operators of lattice-valued propositional logic LP(X). SMC (2003)