An Enhanced Statistical Approach to Identifying Photorealistic Images. - Patchara Sutthiwan; Jingyu Ye; Yun Q. Shi 001 (IWDW, 2009)

Distinguishing Computer Graphics from Photographic Images Using Local Binary Patterns. - Zhaohong Li; Jingyu Ye; Yun-Qing Shi 001 (IWDW, 2012)

New Developments in Image Tampering Detection. - Guanshuo Xu; Jingyu Ye; Yun-Qing Shi 001 (IWDW, 2014)

A Local Derivative Pattern Based Image Forensic Framework for Seam Carving Detection. - Jingyu Ye; Yun-Qing Shi 001 (IWDW, 2016)

A Hybrid Feature Model for Seam Carving Detection. - Jingyu Ye; Yun-Qing Shi 001 (IWDW, 2017)

Detecting multiple H.264/AVC compressions with the same quantisation parameters. - Zhenzhen Zhang; Jianjun Hou; Yu Zhang; Jingyu Ye; Yunqing Shi 001 (IET Inf. Secur., 2017)

An effective method to detect seam carving. - Jingyu Ye; Yun-Qing Shi 001 (J. Inf. Secur. Appl., 2017)

Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics. - Jinwei Wang; Ting Li; Yun-Qing Shi 001; Shiguo Lian; Jingyu Ye (Multim. Tools Appl., 2017)

A Convolutional Neural Network Based Seam Carving Detection Scheme for Uncompressed Digital Images. - Jingyu Ye; Yuxi Shi; Guanshuo Xu; Yun-Qing Shi 001 (IWDW, 2018)

Detecting USM image sharpening by using CNN. - Jingyu Ye; Zhangyi Shen; Piyush Behrani; Feng Ding 007; Yun-Qing Shi 001 (Signal Process. Image Commun., 2018)

Generating Watermarked Speech Adversarial Examples. - Yumin Wang; Jingyu Ye; Hanzhou Wu (ACM TUR-C, 2021)

A Plug-and-Play and Invisible Multi-Bit Watermarking Scheme for Deep Neural Networks. - Junhong Li; Jingyu Ye; Zhenjun Tang; Hanzhou Wu (ICIC (18), 2025)

Multi-user watermarking based on paralleled invertible neural networks. - Jinghui Shi; Zhiguang Yang; Li Li 103; Jingyu Ye; Zhicheng Dong; Hanzhou Wu (Signal Image Video Process., 2025)