Hangjie Yi

According to our database, Hangjie Yi authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Brain-Machine Enhanced Intelligence for Semi-Supervised Facial Emotion Recognition.

Dongjun Liu, Weichen Dai, Hangjie Yi, Honggang Liu, Jianting Cao, Qibin Zhao, Fabio Babiloni, Wanzeng Kong

IEEE Trans. Affect. Comput., 2026

2025

Brain-Machine Cross-Modal Alignment via Sample Relational Learning for Visual Classification.

Dongjun Liu, Weichen Dai, Honggang Liu, Hangjie Yi, Wanzeng Kong

ACM Trans. Multim. Comput. Commun. Appl., June, 2025

DARN: A Dual Attention Refinement Network for Enhancing Feature Robustness in VEP-Based EEG Biometrics.

Honggang Liu, Han Yang, Dongjun Liu, Hangjie Yi, Bingfeng He, Yong Peng, Wanzeng Kong

IEEE Trans. Inf. Forensics Secur., 2025

Independent Components Time-Frequency Purification With Channel Consensus Against Adversarial Attack in SSVEP-Based BCIs.

Hangjie Yi, Jingsheng Qian, Yuhang Ming, Wanzeng Kong

IEEE Signal Process. Lett., 2025

QELDBA: Query-Efficient and Low Distortion Black-Box Attack for Brainprint Recognition.

Jingsheng Qian, Hangjie Yi, Honggang Liu, Xuanyu Jin, Wanzeng Kong

IEEE Signal Process. Lett., 2025

RPW-EEG: An Unified Framework for Robust and Practical Watermark of EEG.

Tianyang Qin, Hangjie Yi, Jingsheng Qian, Xuanyu Jin, Honggang Liu, Wanzeng Kong

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

A Privacy-Preserving Brainprint Recognition System Based on Feature Homomorphic Encryption.

Yiming Zhang, Hangjie Yi, Wanzeng Kong

Proceedings of the International Joint Conference on Neural Networks, 2024

Time-Frequency Jointed Imperceptible Adversarial Attack to Brainprint Recognition with Deep Learning Models.

Hangjie Yi, Yuhang Ming, Dongjun Liu, Wanzeng Kong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024