Adversarial Representation Learning for Dynamic Scene Deblurring: A Simple, Fast and Robust Approach. - Yuan-Yuan Liu; Lu-Yue Ye; Wen-Ze Shao; Qi Ge; Li-Qian Wang; Bing-Kun Bao; Haibo Li 001 (ICIP, 2019)

On potentials of regularized Wasserstein generative adversarial networks for realistic hallucination of tiny faces. - Wen-Ze Shao; Jing-Jing Xu; Long Chen; Qi Ge; Li-Qian Wang; Bing-Kun Bao; Haibo Li 001 (Neurocomputing, 2019)

Gradient-based discriminative modeling for blind image deblurring. - Wen-Ze Shao; Yunzhi Lin; Yuan-Yuan Liu; Li-Qian Wang; Qi Ge; Bing-Kun Bao; Haibo Li 001 (Neurocomputing, 2020)

DeblurGAN+: Revisiting blind motion deblurring using conditional adversarial networks. - Wen-Ze Shao; Yuan-Yuan Liu; Lu-Yue Ye; Li-Qian Wang; Qi Ge; Bing-Kun Bao; Haibo Li 001 (Signal Process., 2020)

RTR-DPD: reweighted tikohonov regularization for blind deblurring via dual principles of discriminativeness. - Wen-Ze Shao; Hai-Song Deng; Qi Ge; Li-Qian Wang (Multidimens. Syst. Signal Process., 2023)

Boosting Adversarial Transferability via Relative Feature Importance-Aware Attacks. - Jian-Wei Li; Wen-Ze Shao; Yubao Sun; Li-Qian Wang; Qi Ge; Liang Xiao 001 (IEEE Trans. Inf. Forensics Secur., 2025)