A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition. - Yun Luo; Lizhen Zhu; Bao-Liang Lu (ISNN (1), 2019)

Auto-Retoucher(ART) - A Framework for Background Replacement and Foreground Adjustment. - Yunxuan Xiao; Yikai Li; Yuwei Wu 003; Lizhen Zhu (MVA, 2019)

Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing. - Yunxuan Xiao; Yikai Li; Yuwei Wu 003; Lizhen Zhu (CoRR, 2019)

Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models. - Yun Luo; Lizhen Zhu; Zi-Yu Wan; Bao-Liang Lu (CoRR, 2020)

Using Navigational Information to Learn Visual Representations. - Lizhen Zhu; Brad Wyble; James Z. Wang 001 (CoRR, 2022)

Deep learning-assisted identification and quantification of aneurysmal subarachnoid hemorrhage in non-contrast CT scans: Development and external validation of Hybrid 2D/3D UNet. - Ping Hu; Haizhu Zhou; Tengfeng Yan; Hongping Miu; Feng Xiao; Xinyi Zhu; Lei Shu; Shuang Yang; Ruiyun Jin; Wenlei Dou; Baoyu Ren; Lizhen Zhu; et al. (NeuroImage, 2023)

Context-driven self-supervised visual learning: Harnessing the environment as a data source. - Lizhen Zhu; James Z. Wang 001; Wonseuk Lee; Brad Wyble (CoRR, 2024)

SplineGen: a generative model for B-spline approximation of unorganized points. - Qiang Zou; Lizhen Zhu (CoRR, 2024)

Incorporating simulated spatial context information improves the effectiveness of contrastive learning models. - Lizhen Zhu; James Z. Wang 001; Wonseuk Lee; Brad Wyble (Patterns, 2024)

SplineGen: Approximating unorganized points through generative AI. - Qiang Zou; Lizhen Zhu; Jiayu Wu; Zhijie Yang (Comput. Aided Des., 2025)

Boundary representation learning via Transformer. - Qiang Zou; Lizhen Zhu (CoRR, 2025)