Building Recognition on Subregion's Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction. - Bin Li 004; Wei Pang 001; Yuhao Liu; Xiangchun Yu; AnAn Du; YeCheng Zhang; Zhezhou Yu (J. Appl. Math., 2014)

Leveraging deep preference learning for indexing and retrieval of biomedical images. - Shu-Chao Pang; Mehmet A. Orgun; AnAn Du; Zhezhou Yu (NER, 2017)

Kpsnet: Keypoint Detection and Feature Extraction for Point Cloud Registration. - Anan Du; Xiaoshui Huang; Jian Zhang 002; Lingxiang Yao; Qiang Wu 001 (ICIP, 2019)

Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework. - Shu-Chao Pang; AnAn Du; Xiaoli He; Jorge Díez 001; Mehmet A. Orgun (ICONIP (4), 2019)

A novel fused convolutional neural network for biomedical image classification. - Shu-Chao Pang; AnAn Du; Mehmet A. Orgun; Zhezhou Yu (Medical Biol. Eng. Comput., 2019)

Exploring Long-Short-Term Context For Point Cloud Semantic Segmentation. - Anan Du; Shuchao Pang; Xiaoshui Huang; Jian Zhang 002; Qiang Wu 001 (ICIP, 2020)

Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies. - Zhenmei Yu; Shuchao Pang; Anan Du; Mehmet A. Orgun; Yan Wang 002; Hong Lin (Image Processing, 2020)

Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation. - Shu-Chao Pang; AnAn Du; Zhenmei Yu; Mehmet A. Orgun (PAKDD (1), 2020)

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation. - Shuchao Pang; Anan Du; Mehmet A. Orgun; Yan Wang 002; Quanzheng Sheng; Shoujin Wang; Xiaoshui Huang; Zhenmei Yu (CoRR, 2020)

Weakly supervised learning for image keypoint matching using graph convolutional networks. - Shu-Chao Pang; AnAn Du; Mehmet A. Orgun; Hechang Chen (Knowl. Based Syst., 2020)

Tumor attention networks: Better feature selection, better tumor segmentation. - Shuchao Pang; Anan Du; Mehmet A. Orgun; Yunyun Wang; Zhenmei Yu (Neural Networks, 2021)

Point-Level Label-Free Segmentation Framework for 3D Point Cloud Semantic Mining. - Anan Du; Shuchao Pang; Mehmet A. Orgun (ADMA (1), 2023)

A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images. - Junyao Hu; Yimin He; Weiyu Zhang; Shuchao Pang; Ruhao Ma; Anan Du (DSAA, 2023)

Boosting Crater Detection via ViT-Based Feature Fusion From Near-IR Images and DEMs. - Yuqi Dai; Changbin Xue; Anan Du (IEEE Geosci. Remote. Sens. Lett., 2023)

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. - Shuchao Pang; Anan Du; Mehmet A. Orgun; Yan Wang 002; Quan Z. Sheng; Shoujin Wang; Xiaoshui Huang; Zhenmei Yu (IEEE Trans. Cybern., 2023)

ADDM: Adversarial Defenses with Diffusion Model for Medical Imaging Data Mining. - Yimin He; Shuchao Pang; Anan Du; Hechang Chen; Lele Cong; Mehmet A. Orgun (ADMA (4), 2024)

Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models. - Xiang Gu; Shuchao Pang; Anan Du; Yifei Wang; Jixiang Miao; Jorge Díez 001 (ECAI, 2024)

TriEn-Net: Non-parametric Representation Learning for Large-Scale Point Cloud Semantic Segmentation. - Yifei Wang; Jixiang Miao; Anan Du; Xiang Gu; Shuchao Pang (PRCV (6), 2024)

MAFFN-SAT: 3-D Point Cloud Defense via Multiview Adaptive Feature Fusion and Smooth Adversarial Training. - Shen Zhang; Anan Du; Jue Zhang; Yiwen Gao 001; Shuchao Pang (IEEE Trans. Geosci. Remote. Sens., 2024)

PCL: Point Contrast and Labeling for Weakly Supervised Point Cloud Semantic Segmentation. - Anan Du; Tianfei Zhou; Shuchao Pang; Qiang Wu 001; Jian Zhang 002 (IEEE Trans. Multim., 2024)

Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance. - Shuchao Pang; Zhenghan Chen; Shen Zhang; Liming Lu; Siyuan Liang; Anan Du; Yongbin Zhou (CoRR, 2025)