Sparse Bayesian Learning with joint noise robustness and signal sparsity. - Shengbo Tan; Kaide Huang; Baolin Shang; Xuemei Guo; Guoli Wang 001 (IET Signal Process., 2017)

Enhanced radio tomographic imaging with heterogeneous Bayesian compressive sensing. - Kaide Huang; Shengbo Tan; Yubin Luo; Xuemei Guo; Guoli Wang 001 (Pervasive Mob. Comput., 2017)

FM-LiteLearn: A Lightweight Brain Tumor Classification Framework Integrating Image Fusion and Multi-teacher Distillation Strategies. - Shengbo Tan; Ying Cai; Yang Zhao; Junjie Hu; Yuanyuan Chen; Chenxi He (AIiH (2), 2024)

MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection. - Zeyu Zhang 006; Nengmin Yi; Shengbo Tan; Ying Cai; Yi Yang; Lei Xu 001; Qingtai Li; Zhang Yi; Daji Ergu; Yang Zhao 019 (BIBM, 2024)

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation. - Shengbo Tan; Zeyu Zhang; Ying Cai; Daji Ergu; Lin Wu; Binbin Hu; Pengzhang Yu; Yang Zhao (CoRR, 2024)

MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection. - Zeyu Zhang; Nengmin Yi; Shengbo Tan; Ying Cai; Yi Yang; Lei Xu; Qingtai Li; Zhang Yi; Daji Ergu; Yang Zhao (CoRR, 2024)

SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies. - Shengbo Tan; Rundong Xue; Shipeng Luo; Zeyu Zhang; Xinran Wang; Lei Zhang; Daji Ergu; Zhang Yi; Yang Zhao; Ying Cai (CoRR, 2024)

LeaNet: Lightweight U-shaped architecture for high-performance skin cancer image segmentation. - Binbin Hu; Pan Zhou 001; Hongfang Yu; Yueyue Dai; Ming Wang; Shengbo Tan; Ying Sun (Comput. Biol. Medicine, 2024)