Yimin Yang

 

Codes

(1) Yimin Yang, Q.M.Jonathan Wu and et al. Recomputation of the Dense Layers for Performance Improvement of DCNN. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020. [link][python code for densenet121][python code for resnet50][python code for VGG16]
(2) Yimin Yang, Q.M.Jonathan Wu. Feature combined from hundreds of midlayers: Hierarchical networks with Subnetwork Nodes. IEEE Transactions on Neural Networks and Learning Systems, 2019. [link] [code]
(3) Yimin Yang, Wang Yaonan, Xiaofang Yuan. Bidirectional extreme learning machine for regression problem and its learning effectiveness. IEEE Transactions on Neural Networks and Learning Systems. 2012. [link] [matlab_code][python code]
(4) Yimin Yang, Q.M.Jonathan Wu, Yaonan Wang. Autoencoder with invertible functions for dimension reduction and image reconstruction. IEEE Transactions on System, Man, and Cybernetics: System.  2018. [link] [matlab code][python code]
(5) Yimin Yang, Q.M.Jonathan Wu, and et al. Progressive Learning Machine: A New Approach for General Hybrid System Approximation. IEEE Transactions on Neural Networks and Learning Systems,  2015. [link] [Matlab-code][Python-code]
(6) Yimin Yang, Yaonan Wang and Xiaofang Yuan. Parallel chaos search based incremental extreme learning machine. Neural Processing letters,  2013. [link] [code]
(7) Xuanyu Zhou, Xiao Lu, Yihong Cao, Sheng Liu, Yimin Yang. Real-time Stage-wise Object Tracking in Traffic Scenes: An online tracker selection method via deep reinforcement learning, Neural Computing and Applications.   2021. [code+New_dataset]
(8) Yimin Yang, Q.M.Jonathan Wu and et al. EEG-based emotion recognition using hierarchical network with subnetwork nodes. IEEE Transactions on cognitive and developmental systems, 2018. [link] [code]
(9) Wandong Zhang, Q.M.Jonathan Wu, Yimin Yang, and Akilan Thangarajah. Multimodal feature reinforcement framework using Moore-Penrose Inverse for big data analysis. IEEE Transactions on Neural Networks and Learning Systems, In press, 2020. [link][code]
(10) Wandong Zhang, Yimin Yang, Q.M.Jonathan Wu. Deep networks with fast retraining. arXiv,2020. [link][code]
(11) Haojin Deng, Shiqi Wang, Yimin Yang, and et al. Minimizing EEG Human Interference: A Study of an Adaptive EEG Spatial Feature Extraction with Deep Convolutional Neural Networks. IEEE Transactions on Cognitive and Developmental Systems,  2024 [link] [Python-code]