Zhi Zhang

According to our database, Zhi Zhang authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

Multi-Agent Taskforce Collaboration: Self-Correction of Compounding Errors in Long-Form Literature Review Generation.

Zhi Zhang, Yan Liu, Zhejing Hu, Gong Chen, Sheng-hua Zhong, Jiannong Cao

CoRR, August, 2025

Data-Efficient Model for Psychological Resilience Prediction based on Neurological Data.

Zhi Zhang, Yan Liu, Mengxia Gao, Yu Yang, Jiannong Cao, Wai Kai Hou, Shirley Li, Sonata Yau, Yun Kwok Wing, Tatia M. C. Lee

CoRR, February, 2025

Intellectual Property Protection for Deep Models: Pioneering Cross-Domain Fingerprinting Solutions.

Tianhua Xu, Sheng-hua Zhong, Zhi Zhang, Yan Liu

IEEE Trans. Inf. Forensics Secur., 2025

Attention-guided universal adversarial perturbations for EEG-based brain-computer interfaces.

Sheng-hua Zhong, Sijia Zhao, Zhijiao Xiao, Zhi Zhang, Yan Liu

Expert Syst. Appl., 2025

Mixture of Knowledge Minigraph Agents for Literature Review Generation.

Zhi Zhang, Yan Liu, Sheng-hua Zhong, Gong Chen, Yu Yang, Jiannong Cao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

TorchEEGEMO: A deep learning toolbox towards EEG-based emotion recognition.

Zhi Zhang, Sheng-hua Zhong, Yan Liu

Expert Syst. Appl., 2024

From References to Insights: Collaborative Knowledge Minigraph Agents for Automating Scholarly Literature Review.

Zhi Zhang, Yan Liu, Sheng-hua Zhong, Gong Chen, Yu Yang, Jiannong Cao

CoRR, 2024

Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition.

Zhi Zhang, Shenghua Zhong, Yan Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition.

Zhi Zhang, Yan Liu, Sheng-hua Zhong

IEEE Trans. Affect. Comput., 2023

GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video.

Bruce X. B. Yu, Zhi Zhang, Yongxu Liu, Sheng-Hua Zhong, Yan Liu, Chang Wen Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Knowledge-guided Network Pruning for EEG-based Emotion Recognition.

Wenjie Rao, Sheng-Hua Zhong, Zhi Zhang, Yan Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Detecting abnormality with separated foreground and background: Mutual Generative Adversarial Networks for video abnormal event detection.

Zhi Zhang, Sheng-hua Zhong, Ahmed Fares, Yan Liu

Comput. Vis. Image Underst., 2022

2021

Steganographer detection via a similarity accumulation graph convolutional network.

Zhi Zhang, Mingjie Zheng, Sheng-hua Zhong, Yan Liu

Neural Networks, 2021

Video Abnormal Event Detection Via Context Cueing Generative Adversarial Network.

Zhi Zhang, Sheng-hua Zhong, Yan Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Steganographer Detection Via Enhancement-Aware Graph Convolutional Network.

Zhi Zhang, Mingjie Zheng, Sheng-hua Zhong, Yan Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020