Cao, Xiaochun
Sun Yat-sen University
9 papers on CoChatORCID 0000-0001-7141-708X
Most cited papers
- Verified
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Cao, X., Khosravi, A., Acharya, U. R., et al. (2021) · Information Fusion
Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference
Cited by 3,111
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AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake
Yang, W., Zhou, X., Chen, Z., Guo, B., Ba, Z., Xia, Z., Cao, X., & Ren, K. (2023) · IEEE Transactions on Information Forensics and Security
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 198
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Multimodal Gesture Recognition Based on the ResC3D Network
Miao, Q., Li, Y., Ouyang, W., Ma, Z., Xu, X., Shi, W., & Cao, X. (2017) · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
Hand Gesture Recognition SystemsHuman Pose and Action Recognition
Cited by 168
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Fighting Fake News: Two Stream Network for Deepfake Detection via Learnable SRM
Han, B., Han, X., Zhang, H., Li, J., & Cao, X. (2021) · IEEE Transactions on Biometrics, Behavior, and Identity Science
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 77
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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
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Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs
Yin, Q., Lu, W., Cao, X., Luo, X., Zhou, Y., & Huang, J. (2024) · International Journal of Computer Vision
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 23
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Uncertainty-aware Medical Diagnostic Phrase Identification and Grounding
Zou, K., Bai, Y., Liu, B., Chen, Y., Chen, Z., Zhou, Y., Yuan, X., Wang, M., Shen, X., Cao, X., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 20
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Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction
Xu, Q., Yang, Z., Jiang, Y., Cao, X., Yao, Y., & Huang, Q. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Mobile Crowdsensing and CrowdsourcingMachine Learning and Data Classification
Cited by 6
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SIGMA-DF: Single-Side Guided Meta-Learning for Deepfake Detection
Han, B., Li, J., Ren, W., Luo, M., Liu, J., & Cao, X. (2023) · Proceedings of the 2023 ACM International Conference on Multimedia Retrieval
Digital Media Forensic DetectionFace recognition and analysis
Cited by 4
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