Qingqing Fang

According to our database, Qingqing Fang authored at least 10 papers between 2016 and 2026.

Collaborative distances:

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

2026

AnomalySD: One-for-all few-shot anomaly detection via pre-trained diffusion models.

Zhenyu Yan, Qingqing Fang, Wenxi Lv, Qinliang Su

Comput. Vis. Image Underst., 2026

2025

Hybrid Dynamic Trajectory Tracking Control for Mobile Robots via Intermittent Sampled-Data Communication.

Qing Geng, Qingqing Fang, Fucai Liu, Changchun Hua

IEEE Trans. Ind. Informatics, January, 2025

AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation.

Qingqing Fang, Wenxi Lv, Qinliang Su

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning.

Qingqing Fang, Qinliang Su, Wenxi Lv, Wenchao Xu, Jianxing Yu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Effects of Climatic Disturbance on the Trade-Off between the Vegetation Pattern and Water Balance Based on a Novel Model and Accurately Remotely Sensed Data in a Semiarid Basin.

Qingqing Fang, Ziqi Yue, Shanghong Zhang, Guoqiang Wang, Baolin Xue, Zixiang Guo

Remote. Sens., June, 2024

AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model.

Zhenyu Yan, Qingqing Fang, Wenxi Lv, Qinliang Su

CoRR, 2024

Weakly Supervised Anomaly Detection by Utilizing Incomplete Anomaly Information.

Qingqing Fang, Qinliang Su

Proceedings of the 7th International Conference on Algorithms, 2024

2023

3D PETCT Tumor Lesion Segmentation via GCN Refinement.

Hengzhi Xue, Qingqing Fang, Yudong Yao, Yueyang Teng

CoRR, 2023

2018

The Application of Discrete Wavelet Transform with Improved Partial Least-Squares Method for the Estimation of Soil Properties with Visible and Near-Infrared Spectral Data.

Guoqiang Wang, Wei Wang, Qingqing Fang, Hong Jiang, Qinchuan Xin, Baolin Xue

Remote. Sens., 2018

2016

Determination of the factors governing soil erodibility using hyperspectral visible and near-infrared reflectance spectroscopy.

Guoqiang Wang, Qingqing Fang, Yanguo Teng, Jingshan Yu

Int. J. Appl. Earth Obs. Geoinformation, 2016