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2020 – today
- 2022
[j4]Lianbo Zhang, Shaoli Huang, Wei Liu:
Learning sequentially diversified representations for fine-grained categorization. Pattern Recognit. 121: 108219 (2022)- [j3]Lianbo Zhang
, Shaoli Huang, Wei Liu:
Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition. IEEE Trans. Multim. 24: 4409-4421 (2022) - 2021
- [b1]Lianbo Zhang:
Improved Fine-Grained Representation Learning with Data Transformation. University of Technology Sydney , Australia, 2021 - [c5]Lianbo Zhang, Shaoli Huang, Wei Liu:
Intra-class Part Swapping for Fine-Grained Image Classification. WACV 2021: 3208-3217 - [i1]Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao:
Structure-Aware Feature Generation for Zero-Shot Learning. CoRR abs/2108.07032 (2021) - 2020
- [c4]Qingtao Wang, Ke Zhang, Jin Fan, Shaoli Huang, Lianbo Zhang:
Multi-Order Feature Statistical Model for Fine-Grained Visual Categorization. ICPR 2020: 7379-7386
2010 – 2019
- 2019
- [c3]Lianbo Zhang, Shaoli Huang, Wei Liu, Dacheng Tao:
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization. ICCV 2019: 8330-8339 - 2018
- [j2]Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng:
Reinforcement online learning for emotion prediction by using physiological signals. Pattern Recognit. Lett. 107: 123-130 (2018) - 2017
- [j1]Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng:
Support vector machine active learning by Hessian regularization. J. Vis. Commun. Image Represent. 49: 47-56 (2017) - [c2]Lianbo Zhang, Weifeng Liu:
Online Laplacian-Regularized Support Vector Regression. CYBCONF 2017: 1-6 - 2014
- [c1]Lianbo Zhang, Dapeng Tao, Weifeng Liu:
Laplacian regularized active learning for image segmentation. SPAC 2014: 241-246
Coauthor Index
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