| Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction L Chen, M Zhou, W Su, M Wu, J She, K Hirota Information Sciences 428, 49-61, 2018 | 197 | 2018 |
| A facial expression emotion recognition based human-robot interaction system. Z Liu, M Wu, W Cao, L Chen, J Xu, R Zhang, M Zhou, J Mao IEEE CAA J. Autom. Sinica 4 (4), 668-676, 2017 | 153 | 2017 |
| Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction L Chen, W Su, Y Feng, M Wu, J She, K Hirota Information Sciences 509, 150-163, 2020 | 152 | 2020 |
| Weight-adapted convolution neural network for facial expression recognition in human–robot interaction M Wu, W Su, L Chen, Z Liu, W Cao, K Hirota IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (3), 1473-1484, 2019 | 73 | 2019 |
| Three-layer weighted fuzzy support vector regression for emotional intention understanding in human–robot interaction L Chen, M Zhou, M Wu, J She, Z Liu, F Dong, K Hirota IEEE Transactions on Fuzzy Systems 26 (5), 2524-2538, 2018 | 71 | 2018 |
| Dynamic emotion understanding in human–robot interaction based on two-layer fuzzy SVR-TS model L Chen, M Wu, M Zhou, Z Liu, J She, K Hirota IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (2), 490-501, 2017 | 61 | 2017 |
| K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human–Robot Interaction L Chen, K Wang, M Li, M Wu, W Pedrycz, K Hirota IEEE Transactions on Industrial Electronics 70 (1), 1016-1024, 2022 | 54 | 2022 |
| A fuzzy deep neural network with sparse autoencoder for emotional intention understanding in human–robot interaction L Chen, W Su, M Wu, W Pedrycz, K Hirota IEEE Transactions on Fuzzy systems 28 (7), 1252-1264, 2020 | 51 | 2020 |
| Information-driven multirobot behavior adaptation to emotional intention in human–robot interaction L Chen, M Wu, M Zhou, J She, F Dong, K Hirota IEEE Transactions on Cognitive and Developmental Systems 10 (3), 647-658, 2017 | 44 | 2017 |
| A multimodal emotional communication based humans-robots interaction system ZT Liu, FF Pan, M Wu, WH Cao, LF Chen, JP Xu, R Zhang, MT Zhou 2016 35th Chinese Control Conference (CCC), 6363-6368, 2016 | 43 | 2016 |
| A fuzzy control strategy of burn-through point based on the feature extraction of time-series trend for iron ore sintering process S Du, M Wu, L Chen, K Zhou, J Hu, W Cao, W Pedrycz IEEE Transactions on Industrial Informatics 16 (4), 2357-2368, 2019 | 42 | 2019 |
| Adaptive feature selection-based AdaBoost-KNN with direct optimization for dynamic emotion recognition in human–robot interaction L Chen, M Li, W Su, M Wu, K Hirota, W Pedrycz IEEE Transactions on Emerging Topics in Computational Intelligence 5 (2 …, 2019 | 38 | 2019 |
| Two-stage fuzzy fusion based-convolution neural network for dynamic emotion recognition M Wu, W Su, L Chen, W Pedrycz, K Hirota IEEE Transactions on Affective Computing 13 (2), 805-817, 2020 | 37 | 2020 |
| An event-triggered approach to torsional vibration control of drill-string system using measurement-while-drilling data C Lu, M Wu, L Chen, W Cao Control Engineering Practice 106, 104668, 2021 | 35 | 2021 |
| Emotion-age-gender-nationality based intention understanding in human–robot interaction using two-layer fuzzy support vector regression LF Chen, ZT Liu, M Wu, M Ding, FY Dong, K Hirota International Journal of Social Robotics 7, 709-729, 2015 | 34 | 2015 |
| Concept of Fuzzy Atmosfield for Representing Communication Atmosphere and its Application to Humans-Robots Interaction. Z Liu, M Wu, DY Li, LF Chen, F Dong, Y Yamazaki, K Hirota J. Adv. Comput. Intell. Intell. Informatics 17 (1), 3-17, 2013 | 33 | 2013 |
| A fuzzy PID controller with nonlinear compensation term for mold level of continuous casting process Y Feng, M Wu, X Chen, L Chen, S Du Information Sciences 539, 487-503, 2020 | 31 | 2020 |
| A quick control strategy based on hybrid intelligent optimization algorithm for planar n-link underactuated manipulators Y Wang, X Lai, L Chen, H Ding, M Wu Information Sciences 420, 148-158, 2017 | 29 | 2017 |
| Modeling and optimization of coal blending and coking costs using coal petrography Y Yuan, Q Qu, L Chen, M Wu Information Sciences 522, 49-68, 2020 | 28 | 2020 |
| Multi-SVM based Dempster–Shafer theory for gesture intention understanding using sparse coding feature L Chen, Y Feng, MA Maram, Y Wang, M Wu, K Hirota, W Pedrycz Applied Soft Computing 85, 105787, 2019 | 27 | 2019 |
Min WuProfessor, IEEE Fellow, China University of Geosciences確認したメール アドレス: cug.edu.cn
