Zhao, Yao

CNN: Single-label to Multi-label

Wei, Y., Xia, W., Huang, J., Ni, B., Dong, J., Zhao, Y., & Yan, S. (2014) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 784

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning

Tan, C., Zhao, Y., Wei, S., Gu, G., Liu, P., & Wei, Y. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 215

Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection

Tan, C., Zhao, Y., Wei, S., Gu, G., & Wei, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 203

Multi-Modal Graph Learning for Disease Prediction

Zheng, S., Zhu, Z., Liu, Z., Guo, Z., Liu, Y., Yang, Y., & Zhao, Y. (2022) · IEEE Transactions on Medical Imaging

Advanced Graph Neural NetworksMachine Learning in Healthcare

Cited by 196

Interactive Object Segmentation With Inside-Outside Guidance

Zhang, S., Liew, J. H., Wei, Y., Wei, S., & Zhao, Y. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 142

C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection

Tan, C., Tao, R., Liu, H., Gu, G., Wu, B., Zhao, Y., & Wei, Y. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 93

PVASS-MDD: Predictive Visual-Audio Alignment Self-Supervision for Multimodal Deepfake Detection

Yu, Y., Liu, X., Ni, R., Yang, S., Zhao, Y., & Kot, A. C. (2024) · IEEE Transactions on Circuits and Systems for Video Technology

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 63

Calibrating Sequence likelihood Improves Conditional Language Generation

Zhao, Y., Khalman, M., Joshi, R., Narayan, S., Saleh, M., & Liu, P. J. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 42

TALM: Tool Augmented Language Models

Parisi, A., Zhao, Y., & Fiedel, N. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 35

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

DeepSeek-AI, Liu, A., Mei, A., Lin, B., Xue, B., Wang, B., Xu, B., Wu, B., Zhang, B., Lin, C., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19

SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Zhao, Y., Joshi, R., Liu, T., Khalman, M., Saleh, M., & Liu, P. J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 11

Mining Generalized Multi-timescale Inconsistency for Detecting Deepfake Videos

Yu, Y., Ni, R., Yang, S., Ni, Y., Zhao, Y., & Kot, A. C. (2025) · International Journal of Computer Vision

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 7

Self-Evaluation Improves Selective Generation in Large Language Models

Ren, J., Zhao, Y., Vu, T., Liu, P. J., & Lakshminarayanan, B. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

Implicit Relation Linking for Question Answering over Knowledge Graph

Zhao, Y., Huang, J., Hu, W., Chen, Q., Qiu, X., Huo, C., & Ren, W. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Topic ModelingAdvanced Graph Neural Networks

Cited by 5

Npvforensics: Jointing non-critical phonemes and visemes for deepfake detection

Chen, Y., Yu, Y., Ni, R., Zhao, Y., & Li, H. (2023) · arXiv

Digital Media Forensic DetectionSpeech and Audio Processing

Cited by 4