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Linchang Zhao
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2020 – today
- 2025
- [j12]Hao Wei
, Linchang Zhao
RFAConv-CBM-ViT: enhanced vision transformer for metal surface defect detection. J. Supercomput. 81(1): 155 (2025) - 2024
- [j11]Linchang Zhao, Guoqing Hu, Yongchi Xu:
Educational Resource Private Cloud Platform Based on OpenStack. Comput. 13(9): 241 (2024) - 2023
- [j10]Jin Tan
Low-light image enhancement with geometrical sparse representation. Appl. Intell. 53(9): 11019-11033 (2023) - 2022
- [j9]Fangwei Hao
Efficient residual attention network for single image super-resolution. Appl. Intell. 52(1): 652-661 (2022) - [j8]Linchang Zhao, Zhaowei Shang, Jin Tan, Mingliang Zhou, Mu Zhang, Dagang Gu, Taiping Zhang, Yuan Yan Tang:
Siamese networks with an online reweighted example for imbalanced data learning. Pattern Recognit. 132: 108947 (2022) - 2021
- [j7]Yan Nie
Siamese pyramid residual module with local binary convolution network for single object tracking. Int. J. Wavelets Multiresolution Inf. Process. 19(6): 2150026:1-2150026:17 (2021) - [j6]Jin Tan, Taiping Zhang, Linchang Zhao, Xiaoliu Luo, Yuan Yan Tang:
A robust image representation method against illumination and occlusion variations. Image Vis. Comput. 112: 104212 (2021) - [j5]Jin Tan
Multi-focus image fusion with Geometrical Sparse Representation. Signal Process. Image Commun. 92: 116130 (2021) - 2020
- [j4]Linchang Zhao, Zhaowei Shang, Jin Tan, Xiaoliu Luo, Taiping Zhang, Yu Wei, Yuan Yan Tang:
Adaptive parameter estimation of GMM and its application in clustering. Future Gener. Comput. Syst. 106: 250-259 (2020)
2010 – 2019
- 2019
- [j3]Linchang Zhao
Siamese Dense Neural Network for Software Defect Prediction With Small Data. IEEE Access 7: 7663-7677 (2019) - [j2]Linchang Zhao
A cost-sensitive meta-learning classifier: SPFCNN-Miner. Future Gener. Comput. Syst. 100: 1031-1043 (2019) - [j1]Linchang Zhao
Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks. Neurocomputing 352: 64-74 (2019) - 2018
- [c1]Linchang Zhao, Zhaowei Shang, Anyong Qin, Yuan Yan Tang:
Parameter Estimation Of Gaussian Mixture Model Based On Variational Bayesian Learning. ICMLC 2018: 99-104
Coauthor Index
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