Publications

2026

1. 

   Bridging Global Context and Directional Anisotropy: A Synergistic Mamba-AFF Framework for 3D Brain Tumor Segmentation

   Qi Wang, Hongxia Xu, Shangde Gao, and 3 more authors

   Expert Systems with Applications, 2026

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2. 

   R2-Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection

   Shuaike Shen, Ke Liu, Jiaqing Xie, and 5 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

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3. 

   Towards generalizable retina vessel segmentation with deformable graph priors

   Ke Liu, Shangde Gao, Yichao Fu, and 1 more author

   Advances in Neural Information Processing Systems, 2026

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4. 

   Few-Shot Medical Image Segmentation With Hierarchical Hypercorrelation Vision State-Space Model

   Zheng Cao, Bang Du, Danqing Hu, and 4 more authors

   IEEE Transactions on Computational Social Systems, 2026

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5. 

   LLM-SDaT: A knowledge-informed LLM framework for syndrome differentiation in TCM

   Bingtao Guan, Shangde Gao, Dawei Zheng, and 4 more authors

   Neural Networks, 2026

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2025

1. 

   Uncertainty-aware multi-expert knowledge distillation for imbalanced disease grading

   Shuo Tong, Shangde Gao, Ke Liu, and 4 more authors

   In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025

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2. 

   Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks

   Shangqi Gao, Shangde Gao, Ines Machado, and 1 more author

   In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025

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3. A Universal Periodicity Injection Module for Crystal Property Prediction

   Yichao Fu, Ke Liu, Shangde Gao, and 3 more authors

   In International Conference on Intelligent Computing, 2025
4. Matrix Factorization with Dynamic Multi-view Clustering for Recommender System

   Shangde Gao, Ke Liu, Yichao Fu, and 2 more authors

   In 2025 International Joint Conference on Neural Networks (IJCNN), 2025
5. Mat-Instructions: A large-scale inorganic material instruction dataset for large language models

   Ke Liu, Shangde Gao, Yichao Fu, and 4 more authors

   In 34rd International Joint Conference on Artificial Intelligence, 2025

2024

1. 

   KA^2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation

   Shangde Gao, Yichao Fu, Ke Liu, and 2 more authors

   In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024

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2. 

   Collaborative Knowledge Amalgamation: Preserving Discriminability and Transferability in Unsupervised Learning

   Shangde Gao, Yichao Fu, Ke Liu, and 4 more authors

   Information Sciences, 2024

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2023

1. 

   Contrastive Knowledge Amalgamation for Unsupervised Image Classification

   Shangde Gao, Yichao Fu, Ke Liu, and 1 more author

   In International Conference on Artificial Neural Networks (ICANN), 2023

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2. 

   PCVAE: A Physics-Informed Neural Network for Determining the Symmetry and Geometry of Crystals

   Ke Liu, Shangde Gao, Kaifan Yang, and 1 more author

   In International Joint Conference on Neural Networks (IJCNN), 2023

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3. Unified Matrix Factorization with Dynamic Multi-view Clustering

   Shangde Gao, Ke Liu, and Yichao Fu

   arXiv preprint arXiv:2308.04661, 2023

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2022

1. Exploring Feature Coupling for Multiple Operations Type and Order Detection

   Shangde Gao, Jiaxin Chen, and Xin Liao

   In IEEE Workshop on Multimedia Signal Processing, 2022

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2019

1. Real-time Detecting One Specific Tampering Operation in Multiple Operator Chains

   Shangde Gao, Xin Liao, and Xuchong Liu

   Journal of Real-Time Image Processing, 2019

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