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Jiyang Xie (谢吉洋)
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Fine-grained visual classification via progressive multi-granularity training of jigsaw patches
R Du, D Chang, AK Bhunia, J Xie, Z Ma, YZ Song, J Guo
European Conference on Computer Vision, 153-168, 2020
3372020
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
3202020
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
2352018
AP-CNN: Weakly supervised attention pyramid convolutional neural network for fine-grained visual classification
Y Ding, Z Ma, S Wen, J Xie, D Chang, Z Si, M Wu, H Ling
IEEE Transactions on Image Processing 30, 2826-2836, 2021
1382021
The role of data analysis in the development of intelligent energy networks
Z Ma, J Xie, H Li, Q Sun, Z Si, J Zhang, J Guo
IEEE Network 31 (5), 88-95, 2017
1352017
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
1332019
Vitas: Vision transformer architecture search
X Su, S You, J Xie, M Zheng, F Wang, C Qian, C Zhang, X Wang, C Xu
European Conference on Computer Vision, 139-157, 2022
662022
Progressive learning of category-consistent multi-granularity features for fine-grained visual classification
R Du, J Xie, Z Ma, D Chang, YZ Song, J Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9521 …, 2021
612021
A Survey on Machine Learning‐Based Mobile Big Data Analysis: Challenges and Applications
J Xie, Z Song, Y Li, Y Zhang, H Yu, J Zhan, Z Ma, Y Qiao, J Zhang, J Guo
Wireless Communications and Mobile Computing 2018 (1), 8738613, 2018
552018
Insights into multiple/single lower bound approximation for extended variational inference in non-Gaussian structured data modeling
Z Ma, J Xie, Y Lai, J Taghia, JH Xue, J Guo
IEEE Transactions on Neural Networks and Learning Systems 31 (7), 2240-2254, 2019
432019
Advanced dropout: A model-free methodology for bayesian dropout optimization
J Xie, Z Ma, J Lei, G Zhang, JH Xue, ZH Tan, J Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 4605-4625, 2021
422021
Learning calibrated class centers for few-shot classification by pair-wise similarity
Y Guo, R Du, X Li, J Xie, Z Ma, Y Dong
IEEE Transactions on Image Processing 31, 4543-4555, 2022
362022
Analysis of key factors in heat demand prediction with neural networks
J Xie, H Li, Z Ma, Q Sun, F Wallin, Z Si, J Guo
Energy Procedia 105, 2965-2970, 2017
332017
Grad-CAM guided channel-spatial attention module for fine-grained visual classification
S Xu, D Chang, J Xie, Z Ma
2021 IEEE 31st international workshop on machine learning for signal …, 2021
312021
Gpca: A probabilistic framework for gaussian process embedded channel attention
J Xie, Z Ma, D Chang, G Zhang, J Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8230 …, 2021
312021
Deep neural network-based impacts analysis of multimodal factors on heat demand prediction
Z Ma, J Xie, H Li, Q Sun, F Wallin, Z Si, J Guo
IEEE Transactions on Big Data 6 (3), 594-605, 2019
272019
Deep learning-based computer vision for surveillance in its: Evaluation of state-of-the-art methods
J Xie, Y Zheng, R Du, W Xiong, Y Cao, Z Ma, D Cao, J Guo
IEEE Transactions on Vehicular Technology 70 (4), 3027-3042, 2021
262021
Shoe-print image retrieval with multi-part weighted cnn
Z Ma, Y Ding, S Wen, J Xie, Y Jin, Z Si, H Wang
IEEE Access 7, 59728-59736, 2019
252019
Unsupervised person re-identification via simultaneous clustering and mask prediction
J Yin, S Zhang, J Xie, Z Ma, J Guo
Pattern Recognition 126, 108568, 2022
182022
MPCCL: Multiview predictive coding with contrastive learning for person re-identification
J Yin, J Xie, Z Ma, J Guo
Pattern Recognition 129, 108710, 2022
112022
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Articles 1–20