Liming Zhai

According to our database, Liming Zhai authored at least 22 papers between 2014 and 2024.

Collaborative distances:

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

2024

A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective.

Chenyu Liu, Xinliang Zhou, Yihao Wu, Yi Ding, Liming Zhai, Kun Wang, Ziyu Jia, Yang Liu

CoRR, 2024

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

Chenyu Liu, Xinliang Zhou, Yihao Wu, Ruizhi Yang, Liming Zhai, Ziyu Jia, Yang Liu

CoRR, 2024

VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition.

Chenyu Liu, Xinliang Zhou, Jiaping Xiao, Zhengri Zhu, Liming Zhai, Ziyu Jia, Yang Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition.

Chenyu Liu, Xinliang Zhou, Zhengri Zhu, Liming Zhai, Ziyu Jia, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FCC-MF: Detecting Violence in Audio-Visual Context with Frame-Wise Cluster Contrast and Modality-Stage Flooding.

Jiaqing He, Yanzhen Ren, Liming Zhai, Wuyang Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Interpretable and Robust AI in EEG Systems: A Survey.

Xinliang Zhou, Chenyu Liu, Liming Zhai, Ziyu Jia, Cuntai Guan, Yang Liu

CoRR, 2023

Who is Speaking Actually? Robust and Versatile Speaker Traceability for Voice Conversion.

Yanzhen Ren, Hongcheng Zhu, Liming Zhai, Zongkun Sun, Rubing Shen, Lina Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance.

Xinliang Zhou, Dan Lin, Ziyu Jia, Jiaping Xiao, Chenyu Liu, Liming Zhai, Yang Liu

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.

Ju Jia, Liming Zhai, Weixiang Ren, Lina Wang, Yanzhen Ren

IEEE Trans. Knowl. Data Eng., 2022

Progressive selection-channel networks for image steganalysis.

Tian Wu, Lina Wang, Liming Zhai, Canming Fang, Mingcheng Zhang

Int. J. Intell. Syst., 2022

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

Yanzhen Ren, Ting Liu, Liming Zhai, Lina Wang

CoRR, 2022

A³GAN: Attribute-Aware Anonymization Networks for Face De-identification.

Liming Zhai, Qing Guo, Xiaofei Xie, Lei Ma, Yi Estelle Wang, Yang Liu

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.

Liming Zhai, Lina Wang, Yanzhen Ren, Yang Liu

CoRR, 2021

2020

Universal Detection of Video Steganography in Multiple Domains Based on the Consistency of Motion Vectors.

Liming Zhai, Lina Wang, Yanzhen Ren

IEEE Trans. Inf. Forensics Secur., 2020

Transferable heterogeneous feature subspace learning for JPEG mismatched steganalysis.

Ju Jia, Liming Zhai, Weixiang Ren, Lina Wang, Yanzhen Ren, Lefei Zhang

Pattern Recognit., 2020

Learning selection channels for image steganalysis in spatial domain.

Weixiang Ren, Liming Zhai, Ju Jia, Lina Wang, Lefei Zhang

Neurocomputing, 2020

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

Liming Zhai, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Wei Feng, Shengchao Qin, Yang Liu

CoRR, 2020

2019

A posterior evaluation algorithm of steganalysis accuracy inspired by residual co-occurrence probability.

Lina Wang, Yibo Xu, Liming Zhai, Yanzhen Ren, Bo Du

Pattern Recognit., 2019

Designing Non-additive Distortions for JPEG Steganography Based on Blocking Artifacts Reduction.

Yubo Lu, Liming Zhai, Lina Wang

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.

Liming Zhai, Lina Wang, Yanzhen Ren

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.

Liming Zhai, Lina Wang, Yanzhen Ren

Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security, 2017

2014

Video steganalysis based on subtractive probability of optimal matching feature.

Yanzhen Ren, Liming Zhai, Lina Wang, Tingting Zhu

Proceedings of the ACM Information Hiding and Multimedia Security Workshop, 2014