Liming Zhai

Orcid: 0000-0003-3229-056X

According to our database1, Liming Zhai authored at least 18 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Graph Neural Networks in EEG-based Emotion Recognition: A Survey.
CoRR, 2024

2023
Interpretable and Robust AI in EEG Systems: A Survey.
CoRR, 2023

Who is Speaking Actually? Robust and Versatile Speaker Traceability for Voice Conversion.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
An Effective Imbalanced JPEG Steganalysis Scheme Based on Adaptive Cost-Sensitive Feature Learning.
IEEE Trans. Knowl. Data Eng., 2022

Progressive selection-channel networks for image steganalysis.
Int. J. Intell. Syst., 2022

Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks.
CoRR, 2022

A<sup>3</sup>GAN: Attribute-Aware Anonymization Networks for Face De-identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Generalized Local Optimality for Video Steganalysis in Motion Vector Domain.
CoRR, 2021

2020
Universal Detection of Video Steganography in Multiple Domains Based on the Consistency of Motion Vectors.
IEEE Trans. Inf. Forensics Secur., 2020

Transferable heterogeneous feature subspace learning for JPEG mismatched steganalysis.
Pattern Recognit., 2020

Learning selection channels for image steganalysis in spatial domain.
Neurocomputing, 2020

It's Raining Cats or Dogs? Adversarial Rain Attack on DNN Perception.
CoRR, 2020

2019
A posterior evaluation algorithm of steganalysis accuracy inspired by residual co-occurrence probability.
Pattern Recognit., 2019

Designing Non-additive Distortions for JPEG Steganography Based on Blocking Artifacts Reduction.
Proceedings of the Digital Forensics and Watermarking - 18th International Workshop, 2019

Multi-domain Embedding Strategies for Video Steganography by Combining Partition Modes and Motion Vectors.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2017
Combined and Calibrated Features for Steganalysis of Motion Vector-Based Steganography in H.264/AVC.
Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security, 2017

2014
Video steganalysis based on subtractive probability of optimal matching feature.
Proceedings of the ACM Information Hiding and Multimedia Security Workshop, 2014


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