Laplacian regularized active learning for image segmentation. - Lianbo Zhang; Dapeng Tao; Weifeng Liu 001 (SPAC, 2014)

Online Laplacian-Regularized Support Vector Regression. - Lianbo Zhang; Weifeng Liu (CYBCONF, 2017)

Support vector machine active learning by Hessian regularization. - Weifeng Liu 001; Lianbo Zhang; Dapeng Tao; Jun Cheng 002 (J. Vis. Commun. Image Represent., 2017)

Reinforcement online learning for emotion prediction by using physiological signals. - Weifeng Liu 001; Lianbo Zhang; Dapeng Tao; Jun Cheng 002 (Pattern Recognit. Lett., 2018)

Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization. - Lianbo Zhang; Shaoli Huang; Wei Liu 007; Dacheng Tao (ICCV, 2019)

Multi-Order Feature Statistical Model for Fine-Grained Visual Categorization. - Qingtao Wang; Ke Zhang 029; Jin Fan; Shaoli Huang; Lianbo Zhang (ICPR, 2020)

Intra-class Part Swapping for Fine-Grained Image Classification. - Lianbo Zhang; Shaoli Huang; Wei Liu 007 (WACV, 2021)

Structure-Aware Feature Generation for Zero-Shot Learning. - Lianbo Zhang; Shaoli Huang; Xinchao Wang; Wei Liu 007; Dacheng Tao (CoRR, 2021)

Improved Fine-Grained Representation Learning with Data Transformation - Lianbo Zhang (2021)

Learning sequentially diversified representations for fine-grained categorization. - Lianbo Zhang; Shaoli Huang; Wei Liu 007 (Pattern Recognit., 2022)

Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition. - Lianbo Zhang; Shaoli Huang; Wei Liu 007 (IEEE Trans. Multim., 2022)

Research on the Development and Application of an Intelligent Aquaculture System. - Yi Nie; Huaining Yang; Kun Qu; Lianbo Zhang; Jinyu Du (Inf. Resour. Manag. J., 2025)

A Generalized Non-Convex Surrogated Framework for Anomaly Detection on Blurred Hyperspectral Images. - Yinjian Wang; Wei Li 032; Yuanyuan Gui; Haijun Xie; Lianbo Zhang (IEEE Trans. Image Process., 2025)