Spectrum management of cognitive radio using multi-agent reinforcement learning. C Wu, KR Chowdhury, M Di Felice, W Meleis AAMAS, 1705-1712, 2010 | 108 | 2010 |
Human fall detection based on body posture spatio-temporal evolution J Zhang, C Wu, Y Wang Sensors 20 (3), 946, 2020 | 66 | 2020 |
T-Center: A Novel Feature Extraction Approach Towards Large-Scale Iris Recognition Y Chen, C Wu, Y Wang IEEE Access 8, 32365-32375, 2020 | 50 | 2020 |
Energy-efficiency opportunistic spectrum allocation in cognitive wireless sensor network C Wu, Y Wang, Z Yin EURASIP Journal on Wireless Communications and Networking 2018, 1-14, 2018 | 44 | 2018 |
Space-air-ground integrated network development and applications in high-speed railways: A survey J Sheng, X Cai, Q Li, C Wu, B Ai, Y Wang, M Kadoch, P Yu IEEE Transactions on Intelligent Transportation Systems 23 (8), 10066-10085, 2021 | 41 | 2021 |
Learning-based spectrum selection in cognitive radio ad hoc networks M Di Felice, KR Chowdhury, C Wu, L Bononi, W Meleis Wired/Wireless Internet Communications: 8th International Conference, WWIC …, 2010 | 37 | 2010 |
Millimeter wave radar target tracking based on adaptive Kalman filter G Zhai, C Wu, Y Wang 2018 IEEE Intelligent Vehicles Symposium (IV), 453-458, 2018 | 33 | 2018 |
Realizing railway cognitive radio: A reinforcement base-station multi-agent model C Wu, Y Wang, Z Yin IEEE Transactions on Intelligent Transportation Systems 20 (4), 1452-1467, 2018 | 24 | 2018 |
A fuzzy logics clustering approach to computing human attention allocation using eyegaze movement cue Y Lin, WJ Zhang, C Wu, G Yang, J Dy International Journal of Human-Computer Studies 67 (5), 455-463, 2009 | 24 | 2009 |
Parameter Adaptation and Situation Awareness of LTE-R Handover for High-Speed Railway Communication C Wu, X Cai, J Sheng, Z Tang, B Ai, Y Wang IEEE Transactions on Intelligent Transportation Systems, 2020 | 23 | 2020 |
Exploration and evaluation of individual difference to driving fatigue for high‐speed railway: a parametric SVM model based on multidimensional visual cue R Yan, C Wu, Y Wang IET Intelligent Transport Systems 12 (6), 504-512, 2018 | 23 | 2018 |
Game theory-based multi-objective optimization interference alignment algorithm for HSR 5G heterogeneous ultra-dense network J Sheng, Z Tang, C Wu, B Ai, Y Wang IEEE Transactions on Vehicular Technology 69 (11), 13371-13382, 2020 | 22 | 2020 |
Detection of abnormal behavior in narrow scene with perspective distortion J Zhang, C Wu, Y Wang, P Wang Machine Vision and Applications 30, 987-998, 2019 | 19 | 2019 |
A parameter optimization method for LTE-R handover based on reinforcement learning X Cai, C Wu, J Sheng, J Zhang, Y Wang 2020 International Wireless Communications and Mobile Computing (IWCMC …, 2020 | 17 | 2020 |
Cooperative Learning for Spectrum Management in Railway Cognitive Radio C Wu, C Wang, J Sheng, Y Wang IEEE Transactions on Vehicular Technology 68 (6), 5809-5819, 2019 | 17 | 2019 |
Whether normalized or not? Towards more robust iris recognition using dynamic programming Y Chen, C Wu, Y Wang Image and Vision Computing 107, 104112, 2021 | 16 | 2021 |
Adaptive kanerva-based function approximation for multi-agent systems C Wu, WM Meleis Proceedings of the 7th international joint conference on Autonomous agents …, 2008 | 16 | 2008 |
Function approximation using tile and kanerva coding for multi-agent systems C Wu, W Meleis Proc. of adaptive learning agents workshop (ala) in aamas, 2009 | 15 | 2009 |
Crowd density detection method based on crowd gathering mode and multi-column convolutional neural network L Bai, C Wu, F Xie, Y Wang Image and Vision Computing 105, 104084, 2021 | 14 | 2021 |
Human attention modeling in a human-machine interface based on the incorporation of contextual features in a bayesian network C Wu, Y Lin, WJ Zhang 2005 IEEE International Conference on Systems, Man and Cybernetics 1, 760-766, 2005 | 14 | 2005 |