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]