Lianbo Zhang

According to our database, Lianbo Zhang authored at least 11 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition.

Lianbo Zhang, Shaoli Huang, Wei Liu

IEEE Trans. Multim., 2022

Learning sequentially diversified representations for fine-grained categorization.

Lianbo Zhang, Shaoli Huang, Wei Liu

Pattern Recognit., 2022

2021

Improved Fine-Grained Representation Learning with Data Transformation

Lianbo Zhang

PhD thesis, 2021

Structure-Aware Feature Generation for Zero-Shot Learning.

Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao

CoRR, 2021

Intra-class Part Swapping for Fine-Grained Image Classification.

Lianbo Zhang, Shaoli Huang, Wei Liu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Multi-Order Feature Statistical Model for Fine-Grained Visual Categorization.

Qingtao Wang, Ke Zhang, Jin Fan, Shaoli Huang, Lianbo Zhang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization.

Lianbo Zhang, Shaoli Huang, Wei Liu, Dacheng Tao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Reinforcement online learning for emotion prediction by using physiological signals.

Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng

Pattern Recognit. Lett., 2018

2017

Support vector machine active learning by Hessian regularization.

Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng

J. Vis. Commun. Image Represent., 2017

Online Laplacian-Regularized Support Vector Regression.

Lianbo Zhang, Weifeng Liu

Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2014

Laplacian regularized active learning for image segmentation.

Lianbo Zhang, Dapeng Tao, Weifeng Liu

Proceedings of the Proceedings IEEE International Conference on Security, 2014