Peishun Liu - researchr alias

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Viewing Publication 1 - 30 from 30

2025

TP-LSM: visual temporal pyramidal time modeling network to multi-label action detection in image-based AIHaojie Gao, Peishun Liu, Xiaolong Ma, Zikang Yan, Ningning Ma, Wenqiang Liu, Xuefang Wang, Ruichun Tang. vc, 41(5):3263-3281, March 2025. [doi]

DiskAdapt: Hard Disk Failure Prediction based on Pre-Training and Fine-TuningRongjia Han, Kunzheng Lv, Peishun Liu, Yashi Huang, Quanjie Dou, Tian Yin, Hengtao Wang, Yibao Song. sigmetrics 2025: 37-39 [doi]

DiskAdapt: Hard Disk Failure Prediction Based on Pre-Training and Fine-TuningRongjia Han, Kunzheng Lv, Peishun Liu, Yashi Huang, Quanjie Dou, Tian Yin, Hengtao Wang, Yibao Song. pomacs, 9(2):1-25, 2025. [doi]

LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusionXintong Hu, Peishun Liu, Xuefang Wang, Peiyao Wu, Ruichun Tang. vciba, 8(1):10, December 2025. [doi]

FreqWave-TranDuD: A Multivariate Time Series Anomaly Detection Method Based on Wavelet and Fourier TransformsYashi Huang, Peishun Liu, Rongjia Han, Tian Yin, Quanjie Dou, Yibao Song, Mengqi Luo. access, 13:68384-68397, 2025. [doi]

Frozen Weights as Prior for Parameter-Efficient Fine-TuningXiaolong Ma, Peishun Liu, Haojie Gao, Zikang Yan, Ningning Ma, Wenqiang Liu, Xuefang Wang, Ruichun Tang. access, 13:24411-24425, 2025. [doi]

2024

FedNor: A robust training framework for federated learning based on normal aggregationShuo Xu, Hui Xia 0001, Rui Zhang 0050, Peishun Liu, Yu Fu. isci, 684:121274, 2024. [doi]

FLPM: A property modification scheme for data protection in federated learningShuo Xu, Hui Xia 0001, Peishun Liu, Rui Zhang 0050, Hao Chi, Wei Gao. fgcs, 154:151-159, 2024. [doi]

2023

Synthesizing PET Scans Using Attention GAN Based on MRI Scans and Alzheimer's Disease InformationQing Guo, Jianjun Zhang, Peishun Liu, Xianchang Liu, Qinshuo Wang, Ruichun Tang. icdip 2023: [doi]

Ensemble deep random vector functional link for self-supervised direction-of-arrival estimationJiawen He, Xiaolei Li, Peishun Liu, Liang Wang, Hao Zhou, Jinyu Wang, Ruichun Tang. eaai, 120:105831, April 2023. [doi]

Lazy Machine Unlearning Strategy for Random ForestsNan Sun, Ning Wang, Zhigang Wang 0001, Jie Nie, Zhiqiang Wei 0002, Peishun Liu, Xiaodong Wang, Haipeng Qu. IEEEwisa 2023: 383-390 [doi]

Deep CNN- RNN with Self- Attention Model for Electric IoT Traffic ClassificationGaozhou Wang, Linlin Tang, Ziyuan Yang, Li Yan, Peishun Liu, Haipeng Qu. icbase 2023: 363-368 [doi]

Remaining useful life prediction of lithium-ion battery based on new health factor in long short-term memory networkZhen Zhang, Peishun Liu, Wenqiang Ge, Yiwan Lai. icdlt 2023: 103-108 [doi]

Sin Oc_sort: Multi-Object tracking by Re-Correct the equations of motionZhipeng Zhao, Jiawen He, Ruichun Tang, Peishun Liu, Youwei Zhao. mlmi2 2023: 100-105 [doi]

Semi-supervised 3D Medical Image Segmentation Using Transformer and CNNZhipeng Zhao, Jianjun Zhang, Peishun Liu, Hanqing Liu, Yixin Chen, Charles Li, Xianchang Liu, Ruichun Tang. icdip 2023: [doi]

UATR-MSG-Transformer: A Deep Learning Network for Underwater Acoustic Target Recognition Based on Spectrogram Feature Fusion and Transformer with Messenger TokensHao Zhou, Xuening Wang, Peishun Liu, Liang Wang, Ruichun Tang. icdip 2023: [doi]

2022

Research on A Three-Dimensional Attention ModuleYance Fang, Yucheng Xie, Peishun Liu. accc 2022: 59-64 [doi]

Improved SEIR Model Based on Recovery Rate Optimization to Predict COVID-19Shanzhi Yu, Fucheng Yang, Rongjia Han, Haiping Duan, Feifei Li, Peishun Liu. accc 2022: 29-34 [doi]

2021

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. jsjkx, 45(11):124-129, 2018. [doi]

2009

Identification of Malicious Web Pages by Inductive LearningPeishun Liu, Xuefang Wang. wism 2009: 448-457 [doi]

2006

An Identification System Combined with Fingerprint and CryptographyHao Li, Peishun Liu. imsccs 2006: 105-108 [doi]

Hill Climbing-Based Decentralized Job Scheduling on Computational GridsQingjiang Wang, Yun Gao, Peishun Liu. imsccs 2006: 705-708 [doi]

2003

Model theory and closure operators of lattice-valued propositional logic LP(X)Xuefang Wang, Peishun Liu. SMC 2003: 5010-5015 [doi]

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