Lianbo Zhang

13 papers A* 1A 1B 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Generalized Non-Convex Surrogated Framework for Anomaly Detection on Blurred Hyperspectral Images.
IEEE Trans. Image Process.
Yinjian Wang, Wei Li, Yuanyuan Gui, Haijun Xie, Lianbo Zhang
2025 J jnl
Research on the Development and Application of an Intelligent Aquaculture System.
Inf. Resour. Manag. J.
Yi Nie, Huaining Yang, Kun Qu, Lianbo Zhang, Jinyu Du
2022 J jnl
Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition.
IEEE Trans. Multim.
Lianbo Zhang, Shaoli Huang, Wei Liu
2022 J jnl
Learning sequentially diversified representations for fine-grained categorization.
Pattern Recognit.
Lianbo Zhang, Shaoli Huang, Wei Liu
2021 — —
Improved Fine-Grained Representation Learning with Data Transformation
Lianbo Zhang
2021 A conf
Intra-class Part Swapping for Fine-Grained Image Classification.
WACV
Lianbo Zhang, Shaoli Huang, Wei Liu
2021 J jnl
Structure-Aware Feature Generation for Zero-Shot Learning.
CoRR
Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao
2020 B conf
Multi-Order Feature Statistical Model for Fine-Grained Visual Categorization.
ICPR
Qingtao Wang, Ke Zhang, Jin Fan, Shaoli Huang, Lianbo Zhang
2019 A* conf
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization.
ICCV
Lianbo Zhang, Shaoli Huang, Wei Liu, Dacheng Tao
2018 J jnl
Reinforcement online learning for emotion prediction by using physiological signals.
Pattern Recognit. Lett.
Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng
2017 — conf
Online Laplacian-Regularized Support Vector Regression.
CYBCONF
Lianbo Zhang, Weifeng Liu
2017 J jnl
Support vector machine active learning by Hessian regularization.
J. Vis. Commun. Image Represent.
Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng
2014 — conf
Laplacian regularized active learning for image segmentation.
SPAC
Lianbo Zhang, Dapeng Tao, Weifeng Liu