Write-Optimized and Consistent RDMA-based NVM Systems. - Xinxin Liu; Yu Hua 001; Xuan Li; Qifan Liu (CoRR, 2019)

Review of Pavement Defect Detection Methods. - Wenming Cao 001; Qifan Liu; Zhiquan He (IEEE Access, 2020)

Deep Regression Neural Network for Industrial Surface Defect Detection. - Zhiquan He; Qifan Liu (IEEE Access, 2020)

Write-Optimized and Consistent RDMA-based Non-Volatile Main Memory Systems. - Xinxin Liu; Yu Hua 001; Xuan Li; Qifan Liu (ICCD, 2021)

Residual Proportion Multilayer Perceptron For Few-Shot Classification. - Qifan Liu; Zhineng Zhao; Wenming Cao 001; Zhiquan He (ICME Workshops, 2021)

Geometric algebra graph neural network for cross-domain few-shot classification. - Qifan Liu; Wenming Cao 001 (Appl. Intell., 2022)

Learning with few samples in deep learning for image classification, a mini-review. - Rujun Zhang; Qifan Liu (Frontiers Comput. Neurosci., 2022)

Self-guided information for few-shot classification. - Zhineng Zhao; Qifan Liu; Wenming Cao 001; Deliang Lian; Zhihai He (Pattern Recognit., 2022)

Dual-domain reciprocal learning design for few-shot image classification. - Qifan Liu; Yaozong Chen; Wenming Cao 001 (Neural Comput. Appl., 2023)

Cycle optimization metric learning for few-shot classification. - Qifan Liu; Wenming Cao 001; Zhihai He (Pattern Recognit., 2023)

PANet: Pluralistic Attention Network for Few-Shot Image Classification. - Wenming Cao 001; Tianyuan Li; Qifan Liu; Zhiquan He (Neural Process. Lett., 2024)

How to Prevent Social Media Platforms From Knowing the Images You Share With Friends. - Dawei Li 009; Yuxiao Guo; Di Liu; Qifan Liu; Song Bian 001; Zhenyu Guan (IEEE Trans. Mob. Comput., 2025)