Peishun Liu

According to our database, Peishun Liu authored at least 26 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Ensemble deep random vector functional link for self-supervised direction-of-arrival estimation.

Jiawen He, Xiaolei Li, Peishun Liu, Liang Wang, Hao Zhou, Jinyu Wang, Ruichun Tang

Eng. Appl. Artif. Intell., April, 2023

Sin Oc_sort: Multi-Object tracking by Re-Correct the equations of motion.

Zhipeng Zhao, Jiawen He, Ruichun Tang, Peishun Liu, Youwei Zhao

Proceedings of the 6th International Conference on Machine Learning and Machine Intelligence, 2023

Remaining useful life prediction of lithium-ion battery based on new health factor in long short-term memory network.

Zhen Zhang, Peishun Liu, Wenqiang Ge, Yiwan Lai

Proceedings of the 7th International Conference on Deep Learning Technologies, 2023

UATR-MSG-Transformer: A Deep Learning Network for Underwater Acoustic Target Recognition Based on Spectrogram Feature Fusion and Transformer with Messenger Tokens.

Hao Zhou, Xuening Wang, Peishun Liu, Liang Wang, Ruichun Tang

Proceedings of the 15th International Conference on Digital Image Processing, 2023

Semi-supervised 3D Medical Image Segmentation Using Transformer and CNN.

Zhipeng Zhao, Jianjun Zhang, Peishun Liu, Hanqing Liu, Yixin Chen, Charles Li, Xianchang Liu, Ruichun Tang

Proceedings of the 15th International Conference on Digital Image Processing, 2023

Synthesizing PET Scans Using Attention GAN Based on MRI Scans and Alzheimer's Disease Information.

Qing Guo, Jianjun Zhang, Peishun Liu, Xianchang Liu, Qinshuo Wang, Ruichun Tang

Proceedings of the 15th International Conference on Digital Image Processing, 2023

Deep CNN- RNN with Self- Attention Model for Electric IoT Traffic Classification.

Gaozhou Wang, Linlin Tang, Ziyuan Yang, Li Yan, Peishun Liu, Haipeng Qu

Proceedings of the 4th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2023

Lazy Machine Unlearning Strategy for Random Forests.

Nan Sun, Ning Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peishun Liu, Xiaodong Wang, Haipeng Qu

Proceedings of the Web Information Systems and Applications, 2023

2022

Improved SEIR Model Based on Recovery Rate Optimization to Predict COVID-19.

Shanzhi Yu, Fucheng Yang, Rongjia Han, Haiping Duan, Feifei Li, Peishun Liu

Proceedings of the 3rd Asia Conference on Computers and Communications, 2022

Research on A Three-Dimensional Attention Module.

Yance Fang, Yucheng Xie, Peishun Liu

Proceedings of the 3rd Asia Conference on Computers and Communications, 2022

2021

Security Analysis of the First Certificateless Proxy Signature Scheme Against Malicious-But-Passive KGC Attacks.

Xi Jun Lin, Qihui Wang, Lin Sun, Zhen Yan, Peishun Liu

Comput. J., 2021

StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier.

Qingmei Zhang, Peishun Liu, Xue Wang, Yaqun Zhang, Yu Han, Bin Yu

Appl. Soft Comput., 2021

Super-Resolution Estimation of Signal Direction Based on Unsupervised Learning.

Jiawen He, Peishun Liu, Liang Wang, Ruichun Tang

Proceedings of the 2nd Asia Conference on Computers and Communications, 2021

2020

A Two-Stream Network for Underwater Acoustic Target Classification.

Guanghui Xing, Peishun Liu, Hui Zhang, Ruichun Tang, Yaguang Yin

Proceedings of the ICRAI 2020: 6th International Conference on Robotics and Artificial Intelligence, 2020

Underwater Acoustic Target Recognition Based on ReLU Gated Recurrent Unit.

Xiaodong Sun, Xiaohan Yin, Yaguang Yin, Peishun Liu, Liang Wang, Ruichun Tang

Proceedings of the ICRAI 2020: 6th International Conference on Robotics and Artificial Intelligence, 2020

G-RNN-GAN for Singing Voice Separation.

Hui Zhang, Nianhao Xiao, Peishun Liu, Zhicheng Wang, Ruichun Tang

Proceedings of the ICMSSP 2020: 5th International Conference on Multimedia Systems and Signal Processing, 2020

High Beam Detection Method Based on Deep Learning.

Hang Gong, Peishun Liu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Underwater Acoustic Target Classification Based on LOFAR Spectrum and Convolutional Neural Network.

Xiaohan Yin, Xiaodong Sun, Peishun Liu, Liang Wang, Ruichun Tang

Proceedings of the AIAM2020: 2nd International Conference on Artificial Intelligence and Advanced Manufacture, 2020

2018

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).

Xiaolu Chu, Peishun Liu

计算机科学, 2018

2009

Identification of Malicious Web Pages by Inductive Learning.

Peishun Liu, Xuefang Wang

Proceedings of the Web Information Systems and Mining, International Conference, 2009

2008

A Method for Constructing Lattice Implication Algebras on the Interval [0, 1].

Xue-fang Wang, Peishun Liu

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Models for Lattice-Valued First-Order Logic LF(X).

Peishun Liu, Xue-fang Wang

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2006

Hill Climbing-Based Decentralized Job Scheduling on Computational Grids.

Qingjiang Wang, Yun Gao, Peishun Liu

Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

An Identification System Combined with Fingerprint and Cryptography.

Hao Li, Peishun Liu

Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

2004

Worm detection using CPN.

Peishun Liu, Jianbo Wang, Dake He

Proceedings of the IEEE International Conference on Systems, 2004

2003

Model theory and closure operators of lattice-valued propositional logic LP(X).

Xuefang Wang, Peishun Liu

Proceedings of the IEEE International Conference on Systems, 2003