Li, Xiaodan

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

Enhanced compound-protein binding affinity prediction by representing protein multimodal information via a coevolutionary strategy

Guo, B., Zheng, H., Jiang, H., Li, X., Guan, N., Zuo, Y., Zhang, Y., Yang, H., & Wang, X. (2023) · Briefings in Bioinformatics

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 7

Enhanced compound-protein binding affinity prediction by representing protein multimodal information via a coevolutionary strategy

Guo, B., Zheng, H., Jiang, H., Li, X., Guan, N., Zuo, Y., Zhang, Y., Yang, H., & Wang, X. (2022) · Briefings in Bioinformatics

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 7