Hui-Rang Hou

According to our database, Hui-Rang Hou authored at least 26 papers between 2018 and 2026.

Collaborative distances:

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

2026

Phase-aware feature extraction and confidence-guided pseudo-labeling for cross-device gas recognition in multi-sensor systems.

Yong Zhang, Zhuoyue Lu, Tao Jing, Hui-Rang Hou, Qing-Hao Meng

Expert Syst. Appl., 2026

2025

Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method.

Zhongyi Zhang, Chenyang Xu, LiXuan Zhao, Hui-Rang Hou, Qing-Hao Meng

CoRR, March, 2025

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

A Spatiotemporal Fused Network Considering Electrode Spatial Topology and Time-Window Transition for MDD Detection.

Chenyang Xu, Hanguang Wang, Lan Zhang, Yong-Hui Zhang, Hui-Rang Hou, Qing-Hao Meng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

SmokeSeger: A Transformer-CNN Coupled Model for Urban Scene Smoke Segmentation.

Tao Jing, Qing-Hao Meng, Hui-Rang Hou

IEEE Trans. Ind. Informatics, February, 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

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

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

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, Chenyang Xu, Zhong-Yi Zhang, Qing-Hao Meng

CoRR, 2024

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., October, 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, March, 2023

EEG data evoked by Different Odor Concentrations established by Tianjin University (EegDoc).

Qing-Hao Meng, Hui-Rang Hou

Dataset, January, 2023

Olfactory EEG datasets: EegDot and EegDoc.

Qing-Hao Meng, Hui-Rang Hou

Dataset, January, 2023

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

2022

Electronic nose dataset for recognition of eight liquor types.

Qing-Hao Meng, Hui-Rang Hou

Dataset, May, 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

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

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

Safe-Nav: learning to prevent PointGoal navigation failure in unknown environments.

Sheng Jin, Qing-Hao Meng, Xu-Yang Dai, Hui-Rang Hou

Complex Intell. Syst., 2022

A triangular hashing learning approach for olfactory EEG signal recognition.

Hui-Rang Hou, Qing-Hao Meng, Biao Sun

Appl. Soft Comput., 2022

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 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

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

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

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, Biao Sun

IEEE Signal Process. Lett., 2018

A Voting-Near-Extreme-Learning-Machine Classification Algorithm.

Hui-Rang Hou, Qing-Hao Meng, Xiao-Nei Zhang

Proceedings of the 24th International Conference on Pattern Recognition, 2018