Wang, Jue

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Chen, L., Zhang, Y., Song, Y., Liu, L., & Wang, J. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 307

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Liang, Y., Ge, C., Tong, Z., Song, Y., Wang, J., & Xie, P. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 131

Classification of parkinsonian and essential tremor using empirical mode decomposition and support vector machine

Ai, L., Wang, J., & Yao, R. (2011) · Digital Signal Processing

Machine Fault Diagnosis TechniquesDeep Brain Stimulation and Movement Disorders

Cited by 71

Boosting Fast Adversarial Training With Learnable Adversarial Initialization

Jia, X., Zhang, Y., Wu, B., Wang, J., & Cao, X. (2022) · IEEE Transactions on Image Processing

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 69

Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts

Wang, J., Huang, S., Wang, X., & Tao, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Human Pose and Action Recognition3D Shape Modeling and Analysis

Cited by 60

In Vitro and In Vivo Anti‐AChE and Antioxidative Effects of Schisandra chinensis Extract: A Potential Candidate for Alzheimer’s Disease

Song, X., Wang, T., Guo, L., Jin, Y., Wang, J., Yin, G., Jiang, K., Wang, L., Huang, H., & Zeng, L. (2020) · Evidence-based Complementary and Alternative Medicine

Cholinesterase and Neurodegenerative DiseasesMedicinal Plants and Neuroprotection

Cited by 8