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2020 – today
- 2024
[j6]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: 151-159 (2024)- [j5]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: 121274 (2024) - 2023
- [j4]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: 105831 (2023) - [c22]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: 383-390 - [c21]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: 363-368 - [c20]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: 18:1-18:9 - [c19]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: 28:1-28:9 - [c18]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: 84:1-84:7 - [c17]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: 103-108 - [c16]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: 100-105 - 2022
- [c15]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: 29-34 - [c14]Yance Fang, Yucheng Xie, Peishun Liu:
Research on A Three-Dimensional Attention Module. ACCC 2022: 59-64 - 2021
- [j3]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: 106921 (2021) - [j2]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): 653-660 (2021) - [c13]Jiawen He, Peishun Liu, Liang Wang, Ruichun Tang:
Super-Resolution Estimation of Signal Direction Based on Unsupervised Learning. ACCC 2021: 74-78 - 2020
- [c12]Xiaohan Yin, Xiaodong Sun, Peishun Liu, Liang Wang, Ruichun Tang:
Underwater Acoustic Target Classification Based on LOFAR Spectrum and Convolutional Neural Network. AIAM 2020: 59-63 - [c11]Hang Gong, Peishun Liu:
High Beam Detection Method Based on Deep Learning. IEEE BigData 2020: 2395-2400 - [c10]Hui Zhang, Nianhao Xiao, Peishun Liu, Zhicheng Wang, Ruichun Tang:
G-RNN-GAN for Singing Voice Separation. ICMSSP 2020: 69-73 - [c9]Xiaodong Sun, Xiaohan Yin, Yaguang Yin, Peishun Liu, Liang Wang, Ruichun Tang:
Underwater Acoustic Target Recognition Based on ReLU Gated Recurrent Unit. ICRAI 2020: 41-46 - [c8]Guanghui Xing, Peishun Liu, Hui Zhang, Ruichun Tang, Yaguang Yin:
A Two-Stream Network for Underwater Acoustic Target Classification. ICRAI 2020: 248-252
2010 – 2019
- 2018
- [j1]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): 124-129 (2018)
2000 – 2009
- 2009
- [c7]Peishun Liu, Xuefang Wang:
Identification of Malicious Web Pages by Inductive Learning. WISM 2009: 448-457 - 2008
- [c6]Xue-fang Wang, Peishun Liu:
A Method for Constructing Lattice Implication Algebras on the Interval [0, 1]. FSKD (1) 2008: 116-121 - [c5]Peishun Liu, Xue-fang Wang:
Models for Lattice-Valued First-Order Logic LF(X). FSKD (1) 2008: 335-339 - 2006
- [c4]Hao Li, Peishun Liu:
An Identification System Combined with Fingerprint and Cryptography. IMSCCS (2) 2006: 105-108 - [c3]Qingjiang Wang, Yun Gao, Peishun Liu:
Hill Climbing-Based Decentralized Job Scheduling on Computational Grids. IMSCCS (1) 2006: 705-708 - 2004
- [c2]Peishun Liu, Jianbo Wang, Dake He:
Worm detection using CPN. SMC (5) 2004: 4941-4946 - 2003
- [c1]Xuefang Wang, Peishun Liu:
Model theory and closure operators of lattice-valued propositional logic LP(X). SMC 2003: 5010-5015
Coauthor Index
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last updated on 2024-08-23 18:36 CEST by the dblp team
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