Dongliang Chang (常东良)
Dongliang Chang (常东良)
Ph.D. candidate of PRIS lab, BUPT
Verified email at bupt.edu.cn - Homepage
Title
Cited by
Cited by
Year
Prediction of short-term PV power output and uncertainty analysis
L Liu, Y Zhao, D Chang, J Xie, Z Ma, Q Sun, H Yin, R Wennersten
Applied Energy 228, 700-711, 2018
392018
Fine-grained vehicle classification with channel max pooling modified CNNs
Z Ma, D Chang, J Xie, Y Ding, S Wen, X Li, Z Si, J Guo
IEEE Transactions on Vehicular Technology 68 (4), 3224-3233, 2019
292019
Dual cross-entropy loss for small-sample fine-grained vehicle classification
X Li, L Yu, D Chang, Z Ma, J Cao
IEEE Transactions on Vehicular Technology 68 (5), 4204-4212, 2019
222019
The devil is in the channels: Mutual-channel loss for fine-grained image classification
D Chang, Y Ding, J Xie, AK Bhunia, X Li, Z Ma, M Wu, J Guo, YZ Song
IEEE Transactions on Image Processing 29, 4683-4695, 2020
72020
Softmax cross entropy loss with unbiased decision boundary for image classification
J Cao, Z Su, L Yu, D Chang, X Li, Z Ma
2018 Chinese Automation Congress (CAC), 2028-2032, 2018
62018
Large-margin regularized softmax cross-entropy loss
X Li, D Chang, T Tian, J Cao
IEEE Access 7, 19572-19578, 2019
42019
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
X Li, D Chang, Z Ma, ZH Tan, JH Xue, J Cao, J Yu, J Guo
IEEE Transactions on Image Processing, 2020
12020
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
D Chang, A Sain, Z Ma, YZ Song, J Guo
arXiv preprint arXiv:2003.03787, 2020
12020
Fine-grained visual classification via progressive multi-granularity training of jigsaw patches
R Du, D Chang, AK Bhunia, J Xie, YZ Song, Z Ma, J Guo
arXiv preprint arXiv:2003.03836, 2020
12020
IU-Module: Intersection and Union Module for Fine-Grained Visual Classification
Y Zheng, D Chang, J Xie, Z Ma
2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020
2020
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology
J Xie, D Chang, Z Ma, G Zhang, J Guo
arXiv preprint arXiv:2003.04575, 2020
2020
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
J Yin, S Zhang, D Chang, Z Ma, J Guo
arXiv preprint arXiv:2003.04719, 2020
2020
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification
Y Ding, S Wen, J Xie, D Chang, Z Ma, Z Si, H Ling
arXiv preprint arXiv:2002.03353, 2020
2020
Competing Ratio Loss for Discriminative Multi-class Image Classification
K Zhang, X Wang, Y Guo, D Chang, Z Zhao, Z Ma, TX Han
arXiv preprint arXiv:1912.11642, 2019
2019
FICAL: Focal Inter-Class Angular Loss for Image Classification
X Wei, D Chang, J Xie, Y Zheng, C Gong, C Zhang, Z Ma
2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019
2019
Mixed Attention Mechanism for Small-Sample Fine-grained Image Classification
X Li, J Wu, D Chang, W Huang, Z Ma, J Cao
2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019
2019
Dynamic Attention Loss for Small-Sample Image Classification
J Cao, Y Qiu, D Chang, X Li, Z Ma
2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019
2019
Small-Sample Image Classification Method of Combining Prototype and Margin Learning
X Li, L Yu, J Cao, D Chang, Z Ma, N Liu
2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019
2019
Channel Max Pooling for Image Classification
L Cheng, D Chang, J Xie, R Ma, C Wu, Z Ma
International Conference on Intelligent Science and Big Data Engineering …, 2019
2019
SSE: A New Selective Initialization Strategy for Snapshot Ensembling
D Chang, X Li, J Xie, Z Ma, J Guo, J Cao
2018 5th IEEE International Conference on Cloud Computing and Intelligence …, 2018
2018
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Articles 1–20