Detection of packing filter rods based on visual saliency. - Shuaijun Zhou; Ning Dong 001; Jun Du; Sai Yang; Zhi Yang (ICIA, 2016)

Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring. - Ning Dong 001; Yusuke Hatae; Muhammad Fikko Fadjrimiratno; Tetsu Matsukawa; Einoshin Suzuki (ISMIS, 2020)

Comparative Analysis on Classical Meta-Metric Models for Few-Shot Learning. - Sai Yang; Fan Liu 003; Ning Dong 001; Jiaying Wu (IEEE Access, 2020)

GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring. - Ning Dong 001; Einoshin Suzuki (PRICAI (2), 2021)

Feature hallucination via Maximum A Posteriori for few-shot learning. - Jiaying Wu; Ning Dong 001; Fan Liu 003; Sai Yang; Jinglu Hu (Knowl. Based Syst., 2021)

GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning. - Ning Dong 001; Einoshin Suzuki (J. Intell. Inf. Syst., 2022)

Developing a Plug-and-Play Meta-Detector for Few-Shot Fine-Grained Image Categorization. - Ning Dong 001; Ziyun Jiao; Yang Shen; Xinnian Guo (IEEE Access, 2024)