Multi-Channel Physiological Signal Emotion Recognition Based on ReliefF Feature Selection. - Yong Zhang 030; Cheng Cheng 013; Tianzhen Chen (ICPADS, 2019)

Ensemble emotion recognizing with multiple modal physiological signals. - Jing Zhang; Yong Zhang 030; Suhua Zhan; Cheng Cheng 013 (CoRR, 2020)

Multimodal Emotion Recognition Using a Hierarchical Fusion Convolutional Neural Network. - Yong Zhang 030; Cheng Cheng 013; Yidie Zhang (IEEE Access, 2021)

Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling. - Yong Zhang 030; Cheng Cheng 013; Shuai Wang; Tianqi Xia (Biomed. Signal Process. Control., 2022)

Multimodal emotion recognition based on manifold learning and convolution neural network. - Yong Zhang 030; Cheng Cheng 013; YiDie Zhang (Multim. Tools Appl., 2022)

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism. - Lin Feng 001; Cheng Cheng 013; Mingyan Zhao; Huiyuan Deng; Yong Zhang 030 (IEEE J. Biomed. Health Informatics, 2022)

Action Reinforcement and Indication Module for Single-frame Temporal Action Localization. - Zikang Yu; Cheng Cheng 013; Wujun Wen; Wenxuan Guo; Lin Feng 001 (IJCNN, 2023)

SS-INR: Spatial-Spectral Implicit Neural Representation Network for Hyperspectral and Multispectral Image Fusion. - Xinying Wang 005; Cheng Cheng 013; Shenglan Liu 001; Ruoxi Song; Xiang-Hai Wang 001; Lin Feng 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition. - Cheng Cheng 013; Yong Zhang 030; Luyao Liu 001; Wenzhe Liu; Lin Feng 001 (IEEE J. Biomed. Health Informatics, 2023)

A novel transformer autoencoder for multi-modal emotion recognition with incomplete data. - Cheng Cheng 013; Wenzhe Liu; Zhaoxin Fan; Lin Feng 001; Ziyu Jia (Neural Networks, 2024)

Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain. - Cheng Cheng 013; Wenzhe Liu; Lin Feng 001; Ziyu Jia (Neural Networks, 2024)

Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition. - Cheng Cheng 013; Wenzhe Liu; Lin Feng 001; Ziyu Jia (IEEE Trans. Comput. Soc. Syst., 2024)

Hybrid Network Using Dynamic Graph Convolution and Temporal Self-Attention for EEG-Based Emotion Recognition. - Cheng Cheng 013; Zikang Yu; Yong Zhang 030; Lin Feng 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

EEG-based emotion recognition based on 4D feature representations and multiple attention mechanisms. - Yong Zhang 030; Jingzi Qu; Qi Zhang; Cheng Cheng 013 (Biomed. Signal Process. Control., 2025)

A Multi-stage Hemisphere Asymmetry Fusion Network Inspired by the brain for EEG depression detection. - Cheng Cheng 013; Wenzhe Liu; Ziyu Jia; Wenbo Luo (Inf. Fusion, 2025)

SASD-MCL: Semi-supervised alignment self-distillation with mixed contrastive learning for cross-subject EEG emotion recognition. - Yong Zhang 030; Wenyun Chen; Xingxing Cai; Cheng Cheng 013 (Neural Networks, 2025)

DISD-Net: A Dynamic Interactive Network With Self-Distillation for Cross-Subject Multi-Modal Emotion Recognition. - Cheng Cheng 013; Wenzhe Liu; Xinying Wang 005; Lin Feng 001; Ziyu Jia (IEEE Trans. Multim., 2025)

A Cross-Modal Adaptive Masked Autoencoder for Decoding Emotions With Multimodal Data. - Cheng Cheng 013; Wenzhe Liu; Yong Zhang 030; Lin Feng 001; Ziyu Jia (IEEE Trans. Comput. Soc. Syst., 2025)

Multi-view multi-scale adapter squeeze excitation network with domain generalization for cross-subject emotion recognition. - Cheng Cheng 013; Wenzhe Liu; Ziyu Jia; Weiqi He (Expert Syst. Appl., 2026)