Adversarially Constrained Interpolation for Unsupervised Domain Adaptation. - Mohamed Azzam; Aurele Tohokantche Gnanha; Hau-San Wong; Si Wu 002 (ICPR, 2020)

Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy. - Mohamed Azzam; Si Wu 002; Aurele Tohokantche Gnanha; Qianfen Jiao; Hau-San Wong (ICME, 2021)

Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. - Mohamed Azzam; Si Wu 002; Yang Zhang 073; Aurele Tohokantche Gnanha; Hau-San Wong (IJCNN, 2021)

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability. - Xudong Mao; Liujuan Cao; Aurele Tohokantche Gnanha; Zhenguo Yang; Qing Li 001; Rongrong Ji (ACM Multimedia, 2022)

αβ-GAN: Robust generative adversarial networks. - Aurele Tohokantche Gnanha; Wenming Cao 002; Xudong Mao; Si Wu 002; Hau-San Wong; Qing Li 001 (Inf. Sci., 2022)

The residual generator: An improved divergence minimization framework for GAN. - Aurele Tohokantche Gnanha; Wenming Cao 002; Xudong Mao; Si Wu 002; Hau-San Wong; Qing Li 001 (Pattern Recognit., 2022)

EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost. - Aurele Tohokantche Gnanha; Wenming Cao 002; Xudong Mao; Si Wu 002; Hau-San Wong; Qing Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing. - Haoguang Lu; Jiacheng Chen; Zhenguo Yang; Aurele Tohokantche Gnanha; Fu Lee Wang; Qing Li 001; Xudong Mao (CoRR, 2025)