Non-structured Pruning for Deep-learning based Steganalytic Frameworks. - Qiushi Li 001; Zilong Shao; Shunquan Tan; Jishen Zeng; Bin Li 011 (APSIPA, 2019)

CALPA-NET: Channel-Pruning-Assisted Deep Residual Network for Steganalysis of Digital Images. - Shunquan Tan; Weilong Wu; Zilong Shao; Qiushi Li 001; Bin Li 011; Jiwu Huang (IEEE Trans. Inf. Forensics Secur., 2021)

One-Class Double Compression Detection of Advanced Videos Based on Simple Gaussian Distribution Model. - Qiushi Li 001; Shengda Chen; Shunquan Tan; Bin Li 011; Jiwu Huang (IEEE Trans. Circuits Syst. Video Technol., 2022)

STD-NET: Search of Image Steganalytic Deep-Learning Architecture via Hierarchical Tensor Decomposition. - Shunquan Tan; Qiushi Li 001; Laiyuan Li; Bin Li 011; Jiwu Huang (IEEE Trans. Dependable Secur. Comput., 2023)

Fake It till You Make It: Curricular Dynamic Forgery Augmentations Towards General Deepfake Detection. - Yuzhen Lin; Wentang Song; Bin Li 011; Yuezun Li; Jiangqun Ni; Han Chen; Qiushi Li 001 (ECCV (86), 2024)

Improving VGG-Style Convnet for JPEG Steganalysis. - Zhuofan Yang; Qiushi Li 001; Shenghai Luo; Shunquan Tan; Bin Li 011 (ICASSP, 2024)

Visual Quality Improved Watermarking based on Dual-Reference Loss for Deepfake Attribution. - Qiushi Li 001; Stefano Berretti; Roberto Caldelli (DFF@MM, 2025)

Elastic Supernet with Dynamic Training for JPEG steganalysis. - Qiushi Li 001; Shunquan Tan; Bin Li 011; Jiwu Huang (Signal Process., 2025)