Ningning Bai

Orcid: 0009-0009-0002-3230

According to our database1, Ningning Bai authored at least 14 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
UZSDD: Universal Zero-Shot Deepfake Detection via Domain-Invariant Meta-Learning.
IEEE Trans. Circuits Syst. Video Technol., May, 2026

Unsupervised Domain Adaptation-Based Cross-Type Deepfake Image Detection.
IEEE Trans. Image Process., 2026

Image splicing localization method driven by device difference feature guidance.
Pattern Recognit., 2026

Structure searchable network model for deepfake image detection.
Pattern Recognit., 2026

2025
PAFormer: Anomaly Detection of Time Series With Parallel-Attention Transformer.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

ARPNet: Adaptive Reliable Points Selection Network for Camouflaged Object Detection.
IEEE Signal Process. Lett., 2025

PIM-Net: Progressive Inconsistency Mining Network for image manipulation localization.
Pattern Recognit., 2025

HSFF-Net: Hierarchical spectral-feature fusion network for deepfake detection and localization.
Neural Networks, 2025

Towards generalizable face forgery detection via mitigating spurious correlation.
Neural Networks, 2025

2024
HDF-Net: Capturing Homogeny Difference Features to Localize the Tampered Image.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Class-imbalanced time series anomaly detection method based on cost-sensitive hybrid network.
Expert Syst. Appl., March, 2024

CTE-Net: Contextual Texture Enhancement Network for Image Super-Resolution.
IEEE Trans. Multim., 2024

2023
FCD-Net: Learning to Detect Multiple Types of Homologous Deepfake Face Images.
IEEE Trans. Inf. Forensics Secur., 2023

2022
SE-ResNet56: Robust Network Model for Deepfake Detection.
Proceedings of the Digital Forensics and Watermarking - 21st International Workshop, 2022


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