Qifan Liu

According to our database, Qifan Liu authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

BugForge: Constructing and Utilizing DBMS Bug Repository to Enhance DBMS Testing.

Dawei Li, Qifan Liu, Yuxiao Guo, Jie Liang, Zhiyong Wu, Chi Zhang, Jingzhou Fu, Haogang Mao, Zhenyu Guan, Yu Jiang

CoRR, April, 2026

Latent Bias Alignment for High-Fidelity Diffusion Inversion in Real-World Image Reconstruction and Manipulation.

Weiming Chen, Qifan Liu, Siyi Liu, Yushun Tang, Yijia Wang, Zhihan Zhu, Zhihai He

CoRR, March, 2026

Geometric algebra enhanced twin-branch contrastive network design for few-shot hyperspectral image classification.

Rujun Zhang, Wenming Cao, Qifan Liu

Pattern Recognit., 2026

2025

Enhancing visual and semantic alignment of multimodal large models in medical images.

Qifan Liu, Yuxuan Fang, Xiyuan Liu

J. Supercomput., October, 2025

How to Prevent Social Media Platforms From Knowing the Images You Share With Friends.

Dawei Li, Yuxiao Guo, Di Liu, Qifan Liu, Song Bian, Zhenyu Guan

IEEE Trans. Mob. Comput., July, 2025

FLCL: Feature-Level Contrastive Learning for Few-Shot Image Classification.

Wenming Cao, Jiewen Zeng, Qifan Liu

IEEE Trans. Emerg. Top. Comput., 2025

ARG: Testing Query Rewriters via Abstract Rule Guided Fuzzing.

Dawei Li, Yuxiao Guo, Qifan Liu, Jie Liang, Zhiyong Wu, Jingzhou Fu, Chi Zhang, Yu Jiang

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

2024

PANet: Pluralistic Attention Network for Few-Shot Image Classification.

Wenming Cao, Tianyuan Li, Qifan Liu, Zhiquan He

Neural Process. Lett., August, 2024

2023

Cycle optimization metric learning for few-shot classification.

Qifan Liu, Wenming Cao, Zhihai He

Pattern Recognit., July, 2023

Dual-domain reciprocal learning design for few-shot image classification.

Qifan Liu, Yaozong Chen, Wenming Cao

Neural Comput. Appl., May, 2023

2022

Self-guided information for few-shot classification.

Zhineng Zhao, Qifan Liu, Wenming Cao, Deliang Lian, Zhihai He

Pattern Recognit., 2022

Learning with few samples in deep learning for image classification, a mini-review.

Rujun Zhang, Qifan Liu

Frontiers Comput. Neurosci., 2022

Geometric algebra graph neural network for cross-domain few-shot classification.

Qifan Liu, Wenming Cao

Appl. Intell., 2022

2021

Residual Proportion Multilayer Perceptron For Few-Shot Classification.

Qifan Liu, Zhineng Zhao, Wenming Cao, Zhiquan He

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Write-Optimized and Consistent RDMA-based Non-Volatile Main Memory Systems.

Xinxin Liu, Yu Hua, Xuan Li, Qifan Liu

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

2020

Deep Regression Neural Network for Industrial Surface Defect Detection.

Zhiquan He, Qifan Liu

IEEE Access, 2020

Review of Pavement Defect Detection Methods.

Wenming Cao, Qifan Liu, Zhiquan He

IEEE Access, 2020

2019

Write-Optimized and Consistent RDMA-based NVM Systems.

Xinxin Liu, Yu Hua, Xuan Li, Qifan Liu

CoRR, 2019