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2020 – today
- 2024
[j16]Zhongyi Zhang
, Qing-Hao Meng, Licheng Jin, Hanguang Wang, Hui-Rang Hou:
A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism. Expert Syst. Appl. 239: 122356 (2024)- [j15]Ya-Xin Wang, Qing-Hao Meng, Yun-Kai Li, Hui-Rang Hou:
Touch-text answer for human-robot interaction via supervised adversarial learning. Expert Syst. Appl. 242: 122738 (2024) - [j14]Meh Jabeen, Qing-Hao Meng, Hui-Rang Hou, Hong-Yue Li:
Odor source localization in outdoor building environments through distributed cooperative control of a fleetof UAVs. Expert Syst. Appl. 247: 123332 (2024) - [j13]Tao Jing, Qing-Hao Meng, Hui-Rang Hou:
SmokeSeger: A Transformer-CNN Coupled Model for Urban Scene Smoke Segmentation. IEEE Trans. Ind. Informatics 20(2): 1385-1396 (2024) - 2023
- [j12]Yun-Kai Li, Qing-Hao Meng, Ya-Xin Wang, Hui-Rang Hou:
MMFN: Emotion recognition by fusing touch gesture and facial expression information. Expert Syst. Appl. 228: 120469 (2023) - [j11]Yun-Kai Li, Qing-Hao Meng, Ya-Xin Wang, Tian-Hao Yang, Hui-Rang Hou:
MASS: A Multisource Domain Adaptation Network for Cross-Subject Touch Gesture Recognition. IEEE Trans. Ind. Informatics 19(3): 3099-3108 (2023) - [j10]Zheng Yan, Qing-Hao Meng, Tao Jing, Si-Wen Chen, Hui-Rang Hou:
A Deep Learning-Based Indoor Odor Compass. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [d3]Qing-Hao Meng, Hui-Rang Hou:
Olfactory EEG datasets: EegDot and EegDoc. IEEE DataPort, 2023
- [d2]Qing-Hao Meng, Hui-Rang Hou:
EEG data evoked by Different Odor Concentrations established by Tianjin University (EegDoc). IEEE DataPort, 2023 - 2022
- [j9]Hui-Rang Hou, Qing-Hao Meng, Biao Sun:
A triangular hashing learning approach for olfactory EEG signal recognition. Appl. Soft Comput. 118: 108471 (2022) - [j8]Hui-Rang Hou, Rui-Xue Han, Xiao-Nei Zhang, Qing-Hao Meng:
Pleasantness Recognition Induced by Different Odor Concentrations Using Olfactory Electroencephalogram Signals. Sensors 22(22): 8808 (2022) - [j7]Xuan Deng, Qing-Hao Meng, Tao Jing, Hui-Rang Hou:
A Portable E-Nose Endowed With Subjective Evaluation Function of Air Quality in Vehicles. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j6]Yun-Kai Li, Qing-Hao Meng, Tian-Hao Yang, Ya-Xin Wang, Hui-Rang Hou:
Touch Gesture and Emotion Recognition Using Decomposed Spatiotemporal Convolutions. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [d1]Qing-Hao Meng, Hui-Rang Hou:
Electronic nose dataset for recognition of eight liquor types. IEEE DataPort, 2022 - 2021
- [j5]Hui-Rang Hou, Qing-Hao Meng:
A Double-Square-Based Electrode Sequence Learning Method for Odor Concentration Identification Using EEG Signals. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j4]Hui-Rang Hou, Qing-Hao Meng, Pei-Feng Qi, Tao Jing:
A Hand-Held Electronic Nose System for Rapid Identification of Chinese Liquors. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - 2020
- [j3]Hui-Rang Hou, Achim J. Lilienthal, Qing-Hao Meng:
Gas Source Declaration With Tetrahedral Sensing Geometries and Median Value Filtering Extreme Learning Machine. IEEE Access 8: 7227-7235 (2020) - [j2]Hui-Rang Hou, Xiao-Nei Zhang, Qing-Hao Meng:
Olfactory EEG Signal Classification Using a Trapezoid Difference-Based Electrode Sequence Hashing Approach. Int. J. Neural Syst. 30(3): 2050011:1-2050011:17 (2020)
2010 – 2019
- 2018
- [j1]Hui-Rang Hou, Qing-Hao Meng, Ming Zeng, Biao Sun:
Improving Classification of Slow Cortical Potential Signals for BCI Systems With Polynomial Fitting and Voting Support Vector Machine. IEEE Signal Process. Lett. 25(2): 283-287 (2018) - [c1]Hui-Rang Hou, Qing-Hao Meng, Xiao-Nei Zhang:
A Voting-Near-Extreme-Learning-Machine Classification Algorithm. ICPR 2018: 237-241
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