A Voting-Near-Extreme-Learning-Machine Classification Algorithm. - Hui-Rang Hou; Qing-Hao Meng; Xiao-Nei Zhang (ICPR, 2018)

Improving Classification of Slow Cortical Potential Signals for BCI Systems With Polynomial Fitting and Voting Support Vector Machine. - Hui-Rang Hou; Qing-Hao Meng; Ming Zeng 001; Biao Sun (IEEE Signal Process. Lett., 2018)

Gas Source Declaration With Tetrahedral Sensing Geometries and Median Value Filtering Extreme Learning Machine. - Hui-Rang Hou; Achim J. Lilienthal; Qing-Hao Meng (IEEE Access, 2020)

Olfactory EEG Signal Classification Using a Trapezoid Difference-Based Electrode Sequence Hashing Approach. - Hui-Rang Hou; Xiao-Nei Zhang; Qing-Hao Meng (Int. J. Neural Syst., 2020)

A Double-Square-Based Electrode Sequence Learning Method for Odor Concentration Identification Using EEG Signals. - Hui-Rang Hou; Qing-Hao Meng (IEEE Trans. Instrum. Meas., 2021)

A Hand-Held Electronic Nose System for Rapid Identification of Chinese Liquors. - Hui-Rang Hou; Qing-Hao Meng; Pei-Feng Qi; Tao Jing (IEEE Trans. Instrum. Meas., 2021)

A triangular hashing learning approach for olfactory EEG signal recognition. - Hui-Rang Hou; Qing-Hao Meng; Biao Sun (Appl. Soft Comput., 2022)

Pleasantness Recognition Induced by Different Odor Concentrations Using Olfactory Electroencephalogram Signals. - Hui-Rang Hou; Rui-Xue Han; Xiao-Nei Zhang; Qing-Hao Meng (Sensors, 2022)

A Portable E-Nose Endowed With Subjective Evaluation Function of Air Quality in Vehicles. - Xuan Deng; Qing-Hao Meng; Tao Jing; Hui-Rang Hou (IEEE Trans. Instrum. Meas., 2022)

Touch Gesture and Emotion Recognition Using Decomposed Spatiotemporal Convolutions. - Yun-Kai Li; Qing-Hao Meng; Tian-Hao Yang; Ya-Xin Wang; Hui-Rang Hou (IEEE Trans. Instrum. Meas., 2022)

Electronic nose dataset for recognition of eight liquor types. - Qing-Hao Meng; Hui-Rang Hou (IEEE DataPort, 2022)

A Deep Learning-Based Indoor Odor Compass. - Zheng Yan; Qing-Hao Meng; Tao Jing; Si-Wen Chen; Hui-Rang Hou (IEEE Trans. Instrum. Meas., 2023)

Olfactory EEG datasets: EegDot and EegDoc. - Qing-Hao Meng; Hui-Rang Hou (IEEE DataPort, 2023)

EEG data evoked by Different Odor Concentrations established by Tianjin University (EegDoc). - Qing-Hao Meng; Hui-Rang Hou (IEEE DataPort, 2023)

MASS: A Multisource Domain Adaptation Network for Cross-Subject Touch Gesture Recognition. - Yun-Kai Li; Qing-Hao Meng; Ya-Xin Wang; Tian-Hao Yang; Hui-Rang Hou (IEEE Trans. Ind. Informatics, 2023)

MMFN: Emotion recognition by fusing touch gesture and facial expression information. - Yun-Kai Li; Qing-Hao Meng; Ya-Xin Wang; Hui-Rang Hou (Expert Syst. Appl., 2023)

SAD-TIME: a Spatiotemporal-fused network for depression detection with Automated multi-scale Depth-wise and TIME-interval-related common feature extractor. - Hanguang Wang; Hui-Rang Hou; Li-Cheng Jin; Chen-Yang Xu; Zhong-Yi Zhang; Qing-Hao Meng (CoRR, 2024)

Odor source localization in outdoor building environments through distributed cooperative control of a fleetof UAVs. - Meh Jabeen; Qing-Hao Meng; Hui-Rang Hou; Hong-Yue Li (Expert Syst. Appl., 2024)

Touch-text answer for human-robot interaction via supervised adversarial learning. - Ya-Xin Wang; Qing-Hao Meng; Yun-Kai Li; Hui-Rang Hou (Expert Syst. Appl., 2024)

A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism. - Zhongyi Zhang; Qing-Hao Meng; Licheng Jin; Hanguang Wang; Hui-Rang Hou (Expert Syst. Appl., 2024)

SmokeSeger: A Transformer-CNN Coupled Model for Urban Scene Smoke Segmentation. - Tao Jing; Qing-Hao Meng; Hui-Rang Hou (IEEE Trans. Ind. Informatics, 2024)

An e-Nose Fingerprint-Based OC-OCC Classification Approach for Authenticity Identification of Liquors. - Hui-Rang Hou; Yu-Tong Chen; Pei-Feng Qi; Qing-Hao Meng (IEEE Trans. Instrum. Meas., 2025)

Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method. - Zhongyi Zhang; Chen-Yang Xu; LiXuan Zhao; Hui-Rang Hou; Qing-Hao Meng (CoRR, 2025)