Research of factors for the response of LCDs. - Fanghui Zhang; Dan Yang; Xiufeng Wang (ICAIT, 2008)

Luminescence mechanism of polymer light-emitting devices with MEH-PPV: PVK emitting layer. - Fanghui Zhang; Dan Yang; Xiufeng Wang (ICAIT, 2008)

Influence of Alq3: C545T on Luminescence of Blue LED. - Changdong Bi; Fanghui Zhang; Yanfei Li (ICDMA, 2011)

Blue Organic Light-Emitting Device Based on Dopant TBP. - Yi Yao; Silian Xie; Fanghui Zhang (ICDMA, 2011)

Vehicle Detection in Distorted Driving Video Based on Metric Learning and Single Shot MultiBox Detector. - Fanghui Zhang; Yi Jin 001; Shichao Kan; Linna Zhang; Yigang Cen; Jin Wen (BESC, 2019)

Cross-domain Person Re-identification Based on the Sample Relation Guidance. - Yue Zhang 065; Fanghui Zhang; Shichao Kan; Linna Zhang; Jiaping Zong; Yigang Cen (ICIG (2), 2021)

Distorted Vehicle Detection and Distance Estimation by Metric Learning-Based SSD. - Fanghui Zhang; Yi Jin 001; Shichao Kan; Linna Zhang; Yigang Cen; Wen Jin (Int. J. Comput. Intell. Syst., 2021)

A GAN-based input-size flexibility model for single image dehazing. - Shichao Kan; Yue Zhang 065; Fanghui Zhang; Yigang Cen (Signal Process. Image Commun., 2022)

Local Correlation Ensemble with GCN Based on Attention Features for Cross-domain Person Re-ID. - Yue Zhang 065; Fanghui Zhang; Yi Jin 001; Yigang Cen; Viacheslav V. Voronin; Shaohua Wan 001 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Multiscale spatial temporal attention graph convolution network for skeleton-based anomaly behavior detection. - Xiaoyu Chen; Shichao Kan; Fanghui Zhang; Yigang Cen; Linna Zhang; Damin Zhang (J. Vis. Commun. Image Represent., 2023)

A graph model-based multiscale feature fitting method for unsupervised anomaly detection. - Fanghui Zhang; Shichao Kan; Damin Zhang; Yigang Cen; Linna Zhang; Vladimir Mladenovic (Pattern Recognit., 2023)

Low-Shot Unsupervised Visual Anomaly Detection via Sparse Feature Representation. - Fanghui Zhang; Haiyue Zhu; Yigang Cen; Shichao Kan; Linna Zhang; Prahlad Vadakkepat; Tong Heng Lee (IEEE Trans. Neural Networks Learn. Syst., 2025)