Universal blind image quality assessment using contourlet transform and singular-value decomposition. - Qingbing Sang; Xiaojun Wu 001; Chaofeng Li; Yin Lu (J. Electronic Imaging, 2014)

No-reference image blur index based on singular value curve. - Qingbing Sang; Huixin Qi; Xiaojun Wu 001; Chaofeng Li; Alan C. Bovik (J. Vis. Commun. Image Represent., 2014)

Blind image quality assessment using a reciprocal singular value curve. - Qingbing Sang; Xiaojun Wu 001; Chaofeng Li; Alan C. Bovik (Signal Process. Image Commun., 2014)

Stereoscopic Video Quality Assessment Using Oriented Local Gravitational Force Statistics. - Yujian Hou; Lixiong Liu; Yongmei Zhang; Qingbing Sang (IEEE Access, 2020)

Image Quality Assessment Based on Quaternion Singular Value Decomposition. - Qingbing Sang; Yunshuo Yang; Lixiong Liu; Xiaoning Song; Xiaojun Wu 001 (IEEE Access, 2020)

Blind image blur metric based on orientation-aware local patterns. - Lixiong Liu; Jiachao Gong; Hua Huang 001; Qingbing Sang (Signal Process. Image Commun., 2020)

MoNET: no-reference image quality assessment based on a multi-depth output network. - Qingbing Sang; Chenfei Su; Lingying Zhu; Lixiong Liu; Xiaojun Wu 001; Alan C. Bovik (J. Electronic Imaging, 2021)

MP2020: Visual quality assessment database for macro photography images. - Qingbing Sang; Yujie Cao; Lixiong Liu; Cong Hu; Xiaojun Wu 001 (IET Image Process., 2022)

Enhancing Bitcoin Log-return Prediction through TimesNet and Sentiment Analysis Integration. - Zhaoji Zhang; Qingbing Sang (ICMLCA, 2023)

Image quality assessment based on self-supervised learning and knowledge distillation. - Qingbing Sang; Ziru Shu; Lixiong Liu; Cong Hu; Qin Wu (J. Vis. Commun. Image Represent., 2023)

Self-Supervised Representation Learning for Video Quality Assessment. - Shaojie Jiang; Qingbing Sang; Zongyao Hu; Lixiong Liu (IEEE Trans. Broadcast., 2023)

Deep video quality assessment using constrained multi-task regression and Spatio-temporal feature fusion. - Mingyang Wen; Lixiong Liu; Qingbing Sang; Yongmei Zhang (Multim. Tools Appl., 2023)

Active learning based fire detection method for YOLOv7. - Yangzhengyu Lu; Qingbing Sang (CSAIDE, 2024)

GMC-YOLO: A Face Detection Algorithm Based on Enhanced YOLOv8. - Chongle Peng; Qingbing Sang (CSAIDE, 2024)

Self-Supervised Image Quality Assessment through Active Learning. - Yunchao Yu; Qingbing Sang (CSAIDE, 2024)

BSDiff: Low-Light Image Enhancement Via Blueprint Separable Convolution and Wavelet-Diffusion Model. - Jiajun Shi; Qingbing Sang (PRCV (8), 2024)

SAM and Diffusion Based Adversarial Sample Generation for Image Quality Assessment. - Shan Wu; Qingbing Sang (PRCV (8), 2024)

Adversarial attacks on video quality assessment models. - Zongyao Hu; Lixiong Liu; Qingbing Sang; Chongwen Wang (Knowl. Based Syst., 2024)

A Robust Multilabel Method Integrating Rule-Based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance. - Qiongdan Lou; Zhaohong Deng; Qingbing Sang; Zhiyong Xiao; Kup-Sze Choi; Shitong Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Omnidirectional Video Quality Assessment With Causal Intervention. - Zongyao Hu; Lixiong Liu; Qingbing Sang (IEEE Trans. Broadcast., 2024)

Self-supervised learning-leveraged boosting ultrasound image segmentation via mask reconstruction. - Qingbing Sang; Yajie Hou; Pengjiang Qian; Qin Wu (Int. J. Mach. Learn. Cybern., 2024)

On the generation of adversarial examples for image quality assessment. - Qingbing Sang; Hongguo Zhang; Lixiong Liu; Xiaojun Wu 001; Alan C. Bovik (Vis. Comput., 2024)

Self-Supervised Learning and Image-Prompt Fusion for AIGC Image Quality Assessment. - Yan Zhao; Qingbing Sang; Zhaohong Deng; Xiaojun Wu 001 (ICASSP, 2025)