Xiaoshuang Shi

According to our database, Xiaoshuang Shi authored at least 85 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification.

Rui Wang, Xiaoshuang Shi, Shuting Pang, Yidi Chen, Xiaofeng Zhu, Wentao Wang, Jiabin Cai, Danjun Song, Kang Li

Inf. Fusion, 2025

Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond.

Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Yue Zhang, Ren Wang, Xiaoshuang Shi, Kaidi Xu

Eng. Appl. Artif. Intell., 2025

2024

GRLC: Graph Representation Learning With Constraints.

Liang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Reverse Graph Learning for Graph Neural Network.

Liang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

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.

Jinghao Xu, Chenxi Yuan, Xiaochuan Ma, Huifang Shang, Xiaoshuang Shi, Xiaofeng Zhu

Pattern Recognit., 2024

ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network.

Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu

CoRR, 2024

Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond.

Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi

CoRR, 2024

Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation.

Jin Sun, Xiaoshuang Shi, Zhiyuan Wang, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Knowledge Distillation Based Dual-Branch Network for Whole Slide Image Analysis.

Weiheng Fu, Meilan Xu, Jie Wu, Xiaoshuang Shi, Kang Li, Xiaofeng Zhu

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Exploring the Role of Node Diversity in Directed Graph Representation Learning.

Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective.

Jincheng Huang, Jialie Shen, Xiaoshuang Shi, Xiaofeng Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization.

Fei Kong, Jinhao Duan, Ruipeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees.

Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models.

Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multiplex Graph Representation Learning Via Dual Correlation Reduction.

Yujie Mo, Yuhuan Chen, Yajie Lei, Liang Peng, Xiaoshuang Shi, Changan Yuan, Xiaofeng Zhu

IEEE Trans. Knowl. Data Eng., December, 2023

UNTIE: Clustering analysis with disentanglement in multi-view information fusion.

Jie Xu, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

Inf. Fusion, December, 2023

Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis.

Hangchen Xiang, Junyi Shen, Qingguo Yan, Meilian Xu, Xiaoshuang Shi, Xiaofeng Zhu

Medical Image Anal., October, 2023

Why does batch normalization induce the model vulnerability on adversarial images?

Fei Kong, Fangqi Liu, Kaidi Xu, Xiaoshuang Shi

World Wide Web (WWW), May, 2023

IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis.

Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, Rongyao Hu

Inf. Process. Manag., May, 2023

FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis.

Hengxin Li, Xiaoshuang Shi, Xiaofeng Zhu, Shuihua Wang, Zheng Zhang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering.

Jie Xu, Chao Li, Liang Peng, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

IEEE Trans. Image Process., 2023

Self-paced resistance learning against overfitting on noisy labels.

Xiaoshuang Shi, Zhenhua Guo, Kang Li, Yun Liang, Xiaofeng Zhu

Pattern Recognit., 2023

ACT: Adversarial Consistency Models.

Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

CoRR, 2023

Feature Noise Boosts DNN Generalization under Label Noise.

Lu Zeng, Xuan Chen, Xiaoshuang Shi, Heng Tao Shen

CoRR, 2023

Exposing the Fake: Effective Diffusion-Generated Images Detection.

Ruipeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, Kaidi Xu

CoRR, 2023

Using Caterpillar to Nibble Small-Scale Images.

Jin Sun, Xiaoshuang Shi, Zhiyuan Weng, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu

CoRR, 2023

Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios.

Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

CoRR, 2023

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration.

Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu

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.

Amr S. Elsawy, Tiarnan D. Kenan, Qingyu Chen, Xiaoshuang Shi, Emily Y. Chew, Zhiyong Lu

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision.

Hansheng Li, Zhengyang Xu, Mo Zhou, Xiaoshuang Shi, Yuxin Kang, Qirong Bu, Hong Lv, Ming Li, Mingzhen Lin, Lei Cui, Jun Feng, Wentao Yang, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Co-assistant Networks for Label Correction.

Xuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Improve Video Representation with Temporal Adversarial Augmentation.

Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Disentangled Multiplex Graph Representation Learning.

Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

Proceedings of the International Conference on Machine Learning, 2023

Are Diffusion Models Vulnerable to Membership Inference Attacks?

Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu

Proceedings of the International Conference on Machine Learning, 2023

Multiplex Graph Representation Learning via Common and Private Information Mining.

Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust convolutional neural networks against adversarial attacks on medical images.

Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu

Pattern Recognit., 2022

Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data.

Rongyao Hu, Jiangzhang Gan, Xiaofeng Zhu, Tong Liu, Xiaoshuang Shi

Inf. Process. Manag., 2022

Simple Self-supervised Multiplex Graph Representation Learning.

Yujie Mo, Yuhuan Chen, Liang Peng, Xiaoshuang Shi, Xiaofeng Zhu

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.

Rongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu

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.

Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation.

Yuxin Kang, Hansheng Li, Xuan Zhao, Xiaoshuang Shi, Feihong Liu, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity.

Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Simple Unsupervised Graph Representation Learning.

Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing.

Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang

IEEE Trans. Image Process., 2021

Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks.

Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Pingjun Chen, Yun Liang, Zhiyong Lu, Zhenhua Guo

IEEE Trans. Image Process., 2021

Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine.

Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion.

Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, Paul D. Gader

Neurocomputing, 2021

Self-paced Resistance Learning against Overfitting on Noisy Labels.

Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu

CoRR, 2021

Vehicle Routing and Scheduling Optimization of Centralized Commuting Service.

Jiyang Dong, Xiaoshuang Shi

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.

Xiaoshuang Shi, Hai Su, Fuyong Xing, Yun Liang, Gang Qu, Lin Yang

Medical Image Anal., 2020

Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing.

Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Lin Yang

Int. J. Comput. Vis., 2020

Interactive thyroid whole slide image diagnostic system using deep representation.

Pingjun Chen, Xiaoshuang Shi, Yun Liang, Yuan Li, Lin Yang, Paul D. Gader

Comput. Methods Programs Biomed., 2020

A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets.

Hansheng Li, Xin Han, Yuxin Kang, Xiaoshuang Shi, Mengdi Yan, Zixu Tong, Qirong Bu, Lei Cui, Jun Feng, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Loss-Based Attention for Deep Multiple Instance Learning.

Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images.

Manish Sapkota, Xiaoshuang Shi, Fuyong Xing, Lin Yang

IEEE J. Biomed. Health Informatics, 2019

Similarity mapping for robust face recognition via a single training sample per person.

Qin Li, Xiaoshuang Shi, Zhenhua Guo

Pattern Recognit. Lett., 2019

Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.

Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang

Nat. Mach. Intell., 2019

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.

Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jaspreet Singh Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang

Nat. Mach. Intell., 2019

Structured orthogonal matching pursuit for feature selection.

Xiaoshuang Shi, Fuyong Xing, Zhenhua Guo, Hai Su, Fujun Liu, Lin Yang

Neurocomputing, 2019

Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss.

Pingjun Chen, Linlin Gao, Xiaoshuang Shi, Kyle Allen, Lin Yang

Comput. Medical Imaging Graph., 2019

Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images.

Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang

BMC Bioinform., 2019

Towards pixel-to-pixel deep nucleus detection in microscopy images.

Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang

BMC Bioinform., 2019

Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification.

Hai Su, Xiaoshuang Shi, Jinzheng Cai, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Hashing and Its Application for Histopathology Image Analysis.

Xiaoshuang Shi, Lin Yang

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

Revisiting graph construction for fast image segmentation.

Zizhao Zhang, Fuyong Xing, Hanzi Wang, Yan Yan, Ying Huang, Xiaoshuang Shi, Lin Yang

Pattern Recognit., 2018

Pairwise based deep ranking hashing for histopathology image classification and retrieval.

Xiaoshuang Shi, Manish Sapkota, Fuyong Xing, Fujun Liu, Lei Cui, Lin Yang

Pattern Recognit., 2018

Self-learning for face clustering.

Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Jinzheng Cai, Lin Yang

Pattern Recognit., 2018

Efficient and robust cell detection: A structured regression approach.

Yuanpu Xie, Fuyong Xing, Xiaoshuang Shi, Xiangfei Kong, Hai Su, Lin Yang

Medical Image Anal., 2018

Robust principal component analysis via optimal mean by joint ℓ_{2, 1} and Schatten <i>p</i>-norms minimization.

Xiaoshuang Shi, Feiping Nie, Zhihui Lai, Zhenhua Guo

Neurocomputing, 2018

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays.

Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Active learning via local structure reconstruction.

Qin Li, Xiaoshuang Shi, Linfei Zhou, Zhifeng Bao, Zhenhua Guo

Pattern Recognit. Lett., 2017

Supervised graph hashing for histopathology image retrieval and classification.

Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Yuanpu Xie, Hai Su, Lin Yang

Medical Image Anal., 2017

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection.

Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang

CoRR, 2017

Revisiting Graph Construction for Fast Image Segmentation.

Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang

CoRR, 2017

Cell Encoding for Histopathology Image Classification.

Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Hai Su, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Asymmetric Discrete Graph Hashing.

Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis.

Xiaoshuang Shi, Zhenhua Guo, Feiping Nie, Lin Yang, Jane You, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation.

Fuyong Xing, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, Lin Yang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Kernel-Based Supervised Discrete Hashing for Image Retrieval.

Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang

Proceedings of the Computer Vision - ECCV 2016, 2016

SemiContour: A Semi-Supervised Learning Approach for Contour Detection.

Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang

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.

Xiaoshuang Shi, Zhenhua Guo, Zhihui Lai, Yujiu Yang, Zhifeng Bao, David Zhang

IEEE Trans. Image Process., 2015

Within-class penalty based multi-class support vector machine.

Xiaoshuang Shi, Zhenhua Guo, Yujiu Yang, Lin Yang

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Face recognition by sparse discriminant analysis via joint L_{2, 1}-norm minimization.

Xiaoshuang Shi, Yujiu Yang, Zhenhua Guo, Zhihui Lai

Pattern Recognit., 2014

2013

Sparse Principal Component Analysis via Joint L 2, 1-Norm Penalty.

Xiaoshuang Shi, Zhihui Lai, Zhenhua Guo, Minghua Wan, Cairong Zhao, Heng Kong

Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2011

Based on AHP Quantitative Assessment of Tourism Impact.

Peipei Jia, Tai Zhang, Wei Cui, Jie Zhang, Xiaoshuang Shi

Proceedings of the Information Computing and Applications, 2011