An Efficient Gabor Feature-Based Multi-task Joint Support Vector Machines Framework for Hyperspectral Image Classification. - Sen Jia 001; Bin Deng 003 (CCPR (2), 2016)

Superpixel-level sparse representation-based classification for hyperspectral imagery. - Sen Jia 001; Bin Deng 003; Xiuping Jia (IGARSS, 2016)

A Gabor feature fusion framework for hyperspectral imagery classification. - Sen Jia 001; Bin Deng 003; Huimin Xie; Lin Deng (ICIP, 2017)

An efficient superpixel-based sparse representation framework for hyperspectral image classification. - Sen Jia 001; Bin Deng 003; Qiang Huang (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Superpixel-Based Multitask Learning Framework for Hyperspectral Image Classification. - Sen Jia 001; Bin Deng 003; Jiasong Zhu; Xiuping Jia; Qingquan Li (IEEE Trans. Geosci. Remote. Sens., 2017)

Local Binary Pattern-Based Hyperspectral Image Classification With Superpixel Guidance. - Sen Jia 001; Bin Deng 003; Jiasong Zhu; Xiuping Jia; Qingquan Li (IEEE Trans. Geosci. Remote. Sens., 2018)

Multi-Task Embedded Convolutional Neural Network for Hyperspectral Image Classification. - Zhijie Lin; Sen Jia 001; Bin Deng 003 (ICME, 2019)

Label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation. - Yabin Zhang 001; Bin Deng 003; Kui Jia; Lei Zhang 006 (ECCV (4), 2020)

Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification. - Bin Deng 003; Sen Jia 001; Daming Shi 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Cascade Superpixel Regularized Gabor Feature Fusion for Hyperspectral Image Classification. - Sen Jia 001; Zhijie Lin; Bin Deng 003; Jiasong Zhu; Qingquan Li (IEEE Trans. Neural Networks Learn. Syst., 2020)

On Universal Black-Box Domain Adaptation. - Bin Deng 003; Yabin Zhang 001; Hui Tang; Changxing Ding; Kui Jia (CoRR, 2021)

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners. - Yabin Zhang 001; Haojian Zhang; Bin Deng 003; Shuai Li 014; Kui Jia; Lei Zhang 006 (CoRR, 2021)

Gradual Domain Adaptation via Self-Training of Auxiliary Models. - Yabin Zhang 001; Bin Deng 003; Kui Jia; Lei Zhang 006 (CoRR, 2021)

Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice. - Yabin Zhang 001; Bin Deng 003; Hui Tang; Lei Zhang 006; Kui Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Adversarial Style Augmentation for Domain Generalization. - Yabin Zhang 001; Bin Deng 003; Ruihuang Li; Kui Jia; Lei Zhang 006 (CoRR, 2023)

Universal Domain Adaptation from Foundation Models. - Bin Deng 003; Kui Jia (CoRR, 2023)

Counterfactual Supervision-Based Information Bottleneck for Out-of-Distribution Generalization. - Bin Deng 003; Kui Jia (Entropy, 2023)