Xinan He

According to our database, Xinan He authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models.

Yue Zhou, Xinan He, Kaiqing Lin, Bing Fan, Feng Ding, Bin Li

CoRR, February, 2026

MPF-Net: Exposing High-Fidelity AI-Generated Video Forgeries via Hierarchical Manifold Deviation and Micro-Temporal Fluctuations.

Xinan He, Kaiqing Lin, Yue Zhou, Jiaming Zhong, Wei Ye, Wenhui Yi, Bing Fan, Feng Ding, Haodong Li, Bo Cao, Bin Li

CoRR, January, 2026

DiffFace-Edit: A Diffusion-Based Facial Dataset for Forgery-Semantic Driven Deepfake Detection Analysis.

Feng Ding, Wenhui Yi, Xinan He, Mengyao Xiao, Jianfeng Xu, Jianqiang Du

CoRR, January, 2026

2025

Fairness-Aware Deepfake Detection: Leveraging Dual-Mechanism Optimization.

Feng Ding, Wenhui Yi, Yunpeng Zhou, Xinan He, Hong Rao, Shu Hu

CoRR, November, 2025

Brought a Gun to a Knife Fight: Modern VFM Baselines Outgun Specialized Detectors on In-the-Wild AI Image Detection.

Yue Zhou, Xinan He, Kaiqing Lin, Bing Fan, Feng Ding, Jinhua Zeng, Bin Li

CoRR, September, 2025

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection.

Yue Zhou, Xinan He, Kaiqing Lin, Bing Fan, Feng Ding, Bin Li

CoRR, June, 2025

VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models.

Xinan He, Yue Zhou, Bing Fan, Bin Li, Guopu Zhu, Feng Ding

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FairAdapter: Detecting AI-generated Images with Improved Fairness.

Feng Ding, Jun Zhang, Xinan He, Jianfeng Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation.

Xinan He, Yue Zhou, Wei Ye, Feng Ding

CoRR, 2024

TMFD: Two-Stage Meta-learning Feature Disentanglement Framework for DeepFake Detection.

Xiaogang Zhu, Bo Lin, Xinan He, Jianfeng Xu, Feng Ding

Proceedings of the IEEE International Joint Conference on Biometrics, 2024

Preserving Fairness Generalization in Deepfake Detection.

Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Decoupling Forgery Semantics for Generalizable Deepfake Detection.

Wei Ye, Xinan He, Feng Ding

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Deep Feature Aggregation for Lightweight Single Image Super-Resolution.

Yanchun Li, Xinan He, Shujuan Tian, Zhetao Li, Saiqin Long

Proceedings of the IEEE International Conference on Acoustics, 2023