Xiaoshuang Shi
Orcid: 0000-0003-4934-0850
According to our database1,
Xiaoshuang Shi
authored at least 77 papers
between 2011 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer's disease analysis.
Pattern Recognit., 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees.
CoRR, 2024
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond.
CoRR, 2024
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
Inf. Fusion, December, 2023
Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis.
Medical Image Anal., October, 2023
World Wide Web (WWW), May, 2023
IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis.
Inf. Process. Manag., May, 2023
FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023
Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering.
IEEE Trans. Image Process., 2023
Pattern Recognit., 2023
Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios.
CoRR, 2023
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Pattern Recognit., 2022
Inf. Process. Manag., 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Complementary Graph Representation Learning for Functional Neuroimaging Identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Image Process., 2021
Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks.
IEEE Trans. Image Process., 2021
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion.
Neurocomputing, 2021
Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021
2020
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis.
Medical Image Anal., 2020
Int. J. Comput. Vis., 2020
Comput. Methods Programs Biomed., 2020
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images.
IEEE J. Biomed. Health Informatics, 2019
Similarity mapping for robust face recognition via a single training sample per person.
Pattern Recognit. Lett., 2019
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.
Nat. Mach. Intell., 2019
Nat. Mach. Intell., 2019
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss.
Comput. Medical Imaging Graph., 2019
BMC Bioinform., 2019
BMC Bioinform., 2019
Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Pairwise based deep ranking hashing for histopathology image classification and retrieval.
Pattern Recognit., 2018
Medical Image Anal., 2018
Robust principal component analysis via optimal mean by joint ℓ<sub>2, 1</sub> and Schatten <i>p</i>-norms minimization.
Neurocomputing, 2018
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Medical Image Anal., 2017
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection.
CoRR, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
A Framework of Joint Graph Embedding and Sparse Regression for Dimensionality Reduction.
IEEE Trans. Image Process., 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
Face recognition by sparse discriminant analysis via joint L<sub>2, 1</sub>-norm minimization.
Pattern Recognit., 2014
2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2011
Proceedings of the Information Computing and Applications, 2011