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Peishun Liu

Observed names: Pei-shun Liu, PeiShun Liu
ORCID: 0000-0002-7746-8061
Observed ORCID: 0000-0002-7746-8061
OpenAlex ID: A5064641785
A BP neural network model optimized by Mind Evolutionary Algorithm for predicting the ocean wave heights
2018 · Wenxu Wang, Ruichun Tang, et al. · Ocean Engineering · 199
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
2020 · Qingmei Zhang, Peishun Liu, et al. · Applied Soft Computing · 67
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Unsupervised Deep Anomaly Detection for Industrial Multivariate Time Series Data
2024 · Wenqiang Liu, Li Yan, et al. · Applied Sciences · 37
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Early Risk Prediction of Diabetes Based on GA-Stacking
2022 · Yaqi Tan, He Chen, et al. · Applied Sciences · 36
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Attribute-Based Searchable Encryption: A Survey
2024 · Li Yan, Gaozhou Wang, et al. · Electronics · 29
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Construction of Power Fault Knowledge Graph Based on Deep Learning
2022 · Peishun Liu, Bing Tian, et al. · Applied Sciences · 24
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Effective underwater acoustic target passive localization of using a multi-task learning model with attention mechanism: Analysis and comparison under real sea trial datasets
2024 · Jiawen He, Bin Zhang, et al. · Applied Ocean Research · 21
Hard Disk Failure Prediction Based on Blending Ensemble Learning
2023 · Mingyu Zhang, Wenqiang Ge, et al. · Applied Sciences · 18
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Ensemble deep random vector functional link for self-supervised direction-of-arrival estimation
2023 · Jiawen He, Xiaolei Li, et al. · Engineering Applications of Artificial Intelligence · 14
Underwater Acoustic Target Classification Based on LOFAR Spectrum and Convolutional Neural Network
2020 · Xiaohan Yin, Xiaodong Sun, et al. · International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) · 14
Log Anomaly Detection method based on BERT model optimization
2022 · Yangyi Shao, Wenbin Zhang, et al. · International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) · 13
Hill Climbing-Based Decentralized Job Scheduling on Computational Grids
2006 · Qingjiang Wang, Yun Gao, et al. · International Multi-Symposiums on Computer and Computational Sciences · 12
A study on water quality prediction by a hybrid dual channel CNN-LSTM model with attention mechanism
2021 · Yibei Liu, Peishun Liu, et al. · International Conference on Smart Transportation and City Engineering (STCE) · 11
Research on System Log Anomaly Detection Combining Two-way Slice GRU and GA-Attention Mechanism
2021 · Shijing Gu, Yuchun Chu, et al. · International Conference on Artificial Intelligence and Big Data (ICAIBD) · 11
FLPM: A property modification scheme for data protection in federated learning
2023 · Shuo Xu, Hui Xia, et al. · Future Generation Computer Systems · 10
An efficient depth-based forwarding protocol for underwater wireless sensor networks
2018 · Xiaoyang Liu, Peishun Liu, et al. · IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) · 10
FreqWave-TranDuD: A Multivariate Time Series Anomaly Detection Method Based on Wavelet and Fourier Transforms
2025 · Yashi Huang, Peishun Liu, et al. · IEEE Access · 9
An automated multi-layer perceptron discriminative neural network based on Bayesian optimization achieves high-precision one-source single-snapshot direction-of-arrival estimation
2024 · Bin Zhang, Jiawen He, et al. · Scientific Reports · 9
DRNN: Deep Residual Neural Network for Heart Disease Prediction
2020 · Nianhao Xiao, Yuanchen Zou, et al. · Journal of Physics Conference Series · 9
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FedNor: A robust training framework for federated learning based on normal aggregation
2024 · Shuo Xu, Hui Xia, et al. · Information Sciences · 8
A Person Re-Identification Method Based on Multi-Branch Feature Fusion
2023 · Xuefang Wang, Xintong Hu, et al. · Applied Sciences · 7
Practice Teaching Design and Implementation Based on Kolb's Learning Theory
2020 · Pei-shun Liu, Xue-fang Wang · International Symposium on Educational Technology · 7
Enhanced edge detection via Dual-branch attention fusion with Canny-assisted supervision
2025 · Hengtao Wang, Peishun Liu, et al. · The Visual Computer · 6
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MDMA: Multimodal Data and Multi-attention Based Deep Learning Model for Alzheimer’s Disease Diagnosis
2023 · Chang Ge, Jianyu Xu, et al. · International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) · 6
Underwater Acoustic Target Recognition Based on ReLU Gated Recurrent Unit
2020 · Xiaodong Sun, Xiaohan Yin, et al. · 6
Works count: 95
Citation count: 671
H-index: 12
I10-index: 16
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