Qifan Liu - researchr alias

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Viewing Publication 1 - 9 from 9

2023

Dual-domain reciprocal learning design for few-shot image classificationQifan Liu, Yaozong Chen, Wenming Cao 0001. nca, 35(14):10649-10662, May 2023. [doi]

Cycle optimization metric learning for few-shot classificationQifan Liu, Wenming Cao 0001, Zhihai He. PR, 139:109468, July 2023. [doi]

2022

Geometric algebra graph neural network for cross-domain few-shot classificationQifan Liu, Wenming Cao 0001. apin, 52(11):12422-12435, 2022. [doi]

Learning with few samples in deep learning for image classification, a mini-reviewRujun Zhang, Qifan Liu. ficn, 16, 2022. [doi]

Self-guided information for few-shot classificationZhineng Zhao, Qifan Liu, Wenming Cao 0001, Deliang Lian, Zhihai He. PR, 131:108880, 2022. [doi]

2021

Write-Optimized and Consistent RDMA-based Non-Volatile Main Memory SystemsXinxin Liu, Yu Hua 0001, Xuan Li, Qifan Liu. iccd 2021: 248-251 [doi]

Residual Proportion Multilayer Perceptron For Few-Shot ClassificationQifan Liu, Zhineng Zhao, Wenming Cao 0001, Zhiquan He. icmcs 2021: 1-6 [doi]

2020

Review of Pavement Defect Detection MethodsWenming Cao 0001, Qifan Liu, Zhiquan He. access, 8:14531-14544, 2020. [doi]

Deep Regression Neural Network for Industrial Surface Defect DetectionZhiquan He, Qifan Liu. access, 8:35583-35591, 2020. [doi]

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