Xue, Hui

Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain

Liu, H., Li, X., Zhou, W., Chen, Y., He, Y., Xue, H., Zhang, W., & Yu, N. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 600

Towards Robust Vision Transformer

Mao, X., Qi, G., Chen, Y., Li, X., Duan, R., Ye, S., He, Y., & Xue, H. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 224

Towards Robust Vision Transformer

Mao, X., Qi, G., Chen, Y., Li, X., Duan, R., Ye, S., He, Y., & Xue, H. (2021) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 224

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models

Pan, X., Qin, P., Li, Y., Xue, H., & Chen, W. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 47

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

Tang, R., Kong, D., Huang, L., & Xue, H. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 31