Decoding Taste Information in Human Brain: A Temporal and Spatial Reconstruction Data Augmentation Method Coupled with Taste EEG. - Xiuxin Xia; Yuchao Yang; Yan Shi 010; Wenbo Zheng; Hong Men (CoRR, 2023)

Human-Machine Cooperative Multimodal Learning Method for Cross-subject Olfactory Preference Recognition. - Xiuxin Xia; Yuchen Guo; Yanwei Wang; Yuchao Yang; Yan Shi 010; Hong Men (CoRR, 2023)

Recognition of odor and pleasantness based on olfactory EEG combined with functional brain network model. - Xiuxin Xia; Xiaotong Liu; Wenbo Zheng; Xiaofei Jia; Bo Wang; Yan Shi 010; Hong Men (Int. J. Mach. Learn. Cybern., 2023)

Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection. - Xiuxin Xia; Qun Wang; He Wang; Chenrui Liu; Pengwei Li; Yan Shi; Hong Men (CoRR, 2024)

Advancing cross-subject olfactory EEG recognition: A novel framework for collaborative multimodal learning between human-machine. - Xiuxin Xia; Yuchen Guo; Yanwei Wang; Yuchao Yang; Yan Shi 010; Hong Men (Expert Syst. Appl., 2024)

Decoding human taste perception by reconstructing and mining temporal-spatial features of taste-related EEGs. - Xiuxin Xia; Yuchao Yang; Yan Shi 010; Wenbo Zheng; Hong Men (Appl. Intell., 2024)

FBANet: An Effective Data Mining Method for Food Olfactory EEG Recognition. - Xiuxin Xia; Yan Shi 010; Pengwei Li; Xiaosong Liu; Jingjing Liu 002; Hong Men (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cross-individual electrophysiological signal recognition in Clivia biosensors via domain adaptation. - Chenrui Liu; Ji Qi; Xiuxin Xia; Yicheng Wang; Qiuping Wang; Lingfang Sun; Hong Men (Appl. Soft Comput., 2025)

Optimizing Food Taste Sensory Evaluation Through Neural Network-Based Taste Electroencephalogram Channel Selection. - Xiuxin Xia; Qun Wang; He Wang; Chenrui Liu; Pengwei Li; Yan Shi 010; Hong Men (IEEE Trans. Instrum. Meas., 2025)