Universalization of narrow methods: Case study on autoencoders. - Alexey Potapov; Vita Batishcheva; Shuchao Pang (CCIS, 2014)

Incremental Graph Regulated Nonnegative Matrix Factorization for Face Recognition. - Zhezhou Yu; Yuhao Liu; Bin Li 004; Shu-Chao Pang; Cheng-Cheng Jia (J. Appl. Math., 2014)

Combining Deep Learning and Preference Learning for Object Tracking. - Shu-Chao Pang; Juan José del Coz; Zhezhou Yu; Oscar Luaces; Jorge Díez 001 (ICONIP (3), 2016)

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

A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images. - Shu-Chao Pang; Zhezhou Yu; Mehmet A. Orgun (Comput. Methods Programs Biomed., 2017)

Deep learning to frame objects for visual target tracking. - Shu-Chao Pang; Juan José del Coz; Zhezhou Yu; Oscar Luaces; Jorge Díez 001 (Eng. Appl. Artif. Intell., 2017)

A novel biomedical image indexing and retrieval system via deep preference learning. - Shu-Chao Pang; Mehmet A. Orgun; Zhezhou Yu (Comput. Methods Programs Biomed., 2018)

Deep Learning and Preference Learning for Object Tracking: A Combined Approach. - Shu-Chao Pang; Juan José del Coz; Zhezhou Yu; Oscar Luaces; Jorge Díez 001 (Neural Process. Lett., 2018)

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)

ConTenNet: Quantum Tensor-augmented Convolutional Representations for Breast Cancer Histopathological Image Classification. - Jie Liu; Hong Lai; Jinshu Ma; Shuchao Pang (BIBM, 2022)

Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets. - Hao Wu; Shuchao Pang; Arcot Sowmya (ISBI, 2022)

Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings. - Shuchao Pang; Matthew Field; Jason Dowling; Shalini K. Vinod; Lois Holloway; Arcot Sowmya (Artif. Intell. Medicine, 2022)

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

UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets. - Can Li; Sheng Shao; Junyi Qu; Shuchao Pang; Mehmet A. Orgun (BIBM, 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)

Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides. - Bo Yu 013; Hechang Chen; Yunke Zhang; Lele Cong; Shuchao Pang; Hongren Zhou; Ziye Wang; Xianling Cong (Knowl. Based Syst., 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)

UniADS: Universal Architecture-Distiller Search for Distillation Gap. - Liming Lu; Zhenghan Chen; Xiaoyu Lu; Yihang Rao; Lujun Li 001; Shuchao Pang (AAAI, 2024)

A Unified Deep Learning-Based EEG Biometric Authentication System for Cross-Session Scenarios. - Yijing Gong; Min Wang 009; Yu Zhang 217; Wenjie Zhang 001; Shuchao Pang (ADMA (4), 2024)

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)

Enhancing Content-based Recommendation via Large Language Model. - Wentao Xu; Qianqian Xie; Shuo Yang; Jiangxia Cao; Shuchao Pang (CIKM, 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)

Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs. - Shuchao Pang; Ruhao Ma; Bing Li 002; Yongbin Zhou; Yazhou Yao (ECCV (83), 2024)

Foster Adaptivity and Balance in Learning with Noisy Labels. - Mengmeng Sheng; Zeren Sun; Tao Chen 012; Shuchao Pang; Yucheng Wang; Yazhou Yao (ECCV (27), 2024)

Anti-AsynDGAN: Black-box Membership Inference Attacks Against Medical Distributed Generation Models. - Yue Chen; Shuchao Pang; Rui Zhang (IJCNN, 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)

dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis. - Haichen Wang; Shuchao Pang; Zhigang Lu 001; Yihang Rao; Yongbin Zhou; Minhui Xue 001 (USENIX Security Symposium, 2024)

COMOGen: A Controllable Text-to-3D Multi-object Generation Framework. - Shaorong Sun; Shuchao Pang; Yazhou Yao; Xiaoshui Huang (CoRR, 2024)

Reconstruction of Differentially Private Text Sanitization via Large Language Models. - Shuchao Pang; Zhigang Lu 001; Haichen Wang; Peng Fu; Yongbin Zhou; Minhui Xue 001; Bo Li 026 (CoRR, 2024)

Cross-Domain Sequential Recommendation via Neural Process. - Haipeng Li; Jiangxia Cao; Yiwen Gao 001; Yunhuai Liu; Shuchao Pang (CoRR, 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)

An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides. - Hongren Zhou; Hechang Chen; Bo Yu 013; Shuchao Pang; Xianling Cong; Lele Cong (Expert Syst. Appl., 2024)

GAP-Diff: Protecting JPEG-Compressed Images from Diffusion-based Facial Customization. - Haotian Zhu; Shuchao Pang; Zhigang Lu 001; Yongbin Zhou; Minhui Xue 001 (NDSS, 2025)

CDSRNP: Cross-Domain Sequential Recommendation via Neural Process. - Haipeng Li; Jiangxia Cao; Yiwen Gao 001; Yunhuai Liu; Shuchao Pang (SDM, 2025)

PriDM: Effective and Universal Private Data Recovery via Diffusion Models. - Shuchao Pang; Yihang Rao; Zhigang Lu 001; Haichen Wang; Yongbin Zhou; Minhui Xue 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks. - Liming Lu; Shuchao Pang; Siyuan Liang; Haotian Zhu; Xiyu Zeng; Aishan Liu; Yunhuai Liu; Yongbin Zhou (CoRR, 2025)

Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation. - Yu Liu; Hanbin Jiang; Lei Zhu; Yu Zhang 217; Yuqi Mao; Jiangxia Cao; Shuchao Pang (CoRR, 2025)

RecCoT: Enhancing Recommendation via Chain-of-Thought. - Shuo Yang; Jiangxia Cao; Haipeng Li; Yuqi Mao; Shuchao Pang (CoRR, 2025)