Xiaoshuang Shi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 78

Top Topics

Graph Representation

Multiple Instance

Convolutional Neural Networks

Top Venues

Pattern Recognit.

Medical Image Anal.

Publications

Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. CoRR (2024)
Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. CoRR (2024)
Fei Kong, Jinhao Duan, Ruipeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. ICLR (2024)
Liang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
Reverse Graph Learning for Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Liang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu
GRLC: Graph Representation Learning With Constraints. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Jinghao Xu, Chenxi Yuan, Xiaochuan Ma, Huifang Shang, Xiaoshuang Shi, Xiaofeng Zhu
Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer's disease analysis. Pattern Recognit. 152 (2024)
Jie Xu, Chao Li, Liang Peng, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. IEEE Trans. Image Process. 32 (2023)
Yujie Mo, Yuhuan Chen, Yajie Lei, Liang Peng, Xiaoshuang Shi, Changan Yuan, Xiaofeng Zhu
Multiplex Graph Representation Learning Via Dual Correlation Reduction. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu
Are Diffusion Models Vulnerable to Membership Inference Attacks? CoRR (2023)
Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu
Improve Video Representation with Temporal Adversarial Augmentation. IJCAI (2023)
Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
Multiplex Graph Representation Learning via Common and Private Information Mining. AAAI (2023)
Fei Kong, Jinhao Duan, Ruipeng Ma, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. CoRR (2023)
Jie Xu, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
UNTIE: Clustering analysis with disentanglement in multi-view information fusion. Inf. Fusion 100 (2023)
Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
Disentangled Multiplex Graph Representation Learning. ICML (2023)
Ruipeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, Kaidi Xu
Exposing the Fake: Effective Diffusion-Generated Images Detection. CoRR (2023)
Amr S. Elsawy, Tiarnan D. Kenan, Qingyu Chen, Xiaoshuang Shi, Emily Y. Chew, Zhiyong Lu
Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans. Medical Imaging: Image Processing (2023)
Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
ACT: Adversarial Consistency Models. CoRR (2023)
Xiaoshuang Shi, Zhenhua Guo, Kang Li, Yun Liang, Xiaofeng Zhu
Self-paced resistance learning against overfitting on noisy labels. Pattern Recognit. 134 (2023)
Fei Kong, Fangqi Liu, Kaidi Xu, Xiaoshuang Shi
Why does batch normalization induce the model vulnerability on adversarial images? World Wide Web (WWW) 26 (3) (2023)
Xuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu
Co-assistant Networks for Label Correction. MICCAI (3) (2023)
Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu
Improve Video Representation with Temporal Adversarial Augmentation. CoRR (2023)
Lu Zeng, Xuan Chen, Xiaoshuang Shi, Heng Tao Shen
Feature Noise Boosts DNN Generalization under Label Noise. CoRR (2023)
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
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. MICCAI (6) (2023)
Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios. CoRR (2023)
Hengxin Li, Xiaoshuang Shi, Xiaofeng Zhu, Shuihua Wang, Zheng Zhang
FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 7 (1) (2023)
Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration. NeurIPS (2023)
Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu
Are Diffusion Models Vulnerable to Membership Inference Attacks? ICML (2023)
Jin Sun, Xiaoshuang Shi, Zhiyuan Weng, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu
Using Caterpillar to Nibble Small-Scale Images. CoRR (2023)
Hangchen Xiang, Junyi Shen, Qingguo Yan, Meilian Xu, Xiaoshuang Shi, Xiaofeng Zhu
Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis. Medical Image Anal. 89 (2023)
Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, Rongyao Hu
IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis. Inf. Process. Manag. 60 (3) (2023)
Rongyao Hu, Jiangzhang Gan, Xiaofeng Zhu, Tong Liu, Xiaoshuang Shi
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data. Inf. Process. Manag. 59 (1) (2022)
Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu
Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. 132 (2022)
Rongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu
Complementary Graph Representation Learning for Functional Neuroimaging Identification. ACM Multimedia (2022)
Yuxin Kang, Hansheng Li, Xuan Zhao, Xiaoshuang Shi, Feihong Liu, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang
Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation. BIBM (2022)
Yujie Mo, Yuhuan Chen, Liang Peng, Xiaoshuang Shi, Xiaofeng Zhu
Simple Self-supervised Multiplex Graph Representation Learning. ACM Multimedia (2022)
Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu
Simple Unsupervised Graph Representation Learning. AAAI (2022)
Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. AAAI (2022)
Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. MICCAI (8) (2022)
Jiyang Dong, Xiaoshuang Shi
Vehicle Routing and Scheduling Optimization of Centralized Commuting Service. AIAM (ACM) (2021)
Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, Paul D. Gader
Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion. Neurocomputing 453 (2021)
Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Pingjun Chen, Yun Liang, Zhiyong Lu, Zhenhua Guo
Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks. IEEE Trans. Image Process. 30 (2021)
Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu
Self-paced Resistance Learning against Overfitting on Noisy Labels. CoRR (2021)
Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. IEEE Trans. Pattern Anal. Mach. Intell. 43 (5) (2021)
Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang
A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing. IEEE Trans. Image Process. 30 (2021)
Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang
Loss-Based Attention for Deep Multiple Instance Learning. AAAI (2020)
Xiaoshuang Shi, Hai Su, Fuyong Xing, Yun Liang, Gang Qu, Lin Yang
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. Medical Image Anal. 60 (2020)
Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Lin Yang
Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing. Int. J. Comput. Vis. 128 (8) (2020)
Pingjun Chen, Xiaoshuang Shi, Yun Liang, Yuan Li, Lin Yang, Paul D. Gader
Interactive thyroid whole slide image diagnostic system using deep representation. Comput. Methods Programs Biomed. 195 (2020)
Hansheng Li, Xin Han, Yuxin Kang, Xiaoshuang Shi, Mengdi Yan, Zixu Tong, Qirong Bu, Lei Cui, Jun Feng, Lin Yang
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets. MICCAI (5) (2020)
Xiaoshuang Shi, Fuyong Xing, Zhenhua Guo, Hai Su, Fujun Liu, Lin Yang
Structured orthogonal matching pursuit for feature selection. Neurocomputing 349 (2019)
Manish Sapkota, Xiaoshuang Shi, Fuyong Xing, Lin Yang
Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images. IEEE J. Biomed. Health Informatics 23 (2) (2019)
Qin Li, Xiaoshuang Shi, Zhenhua Guo
Similarity mapping for robust face recognition via a single training sample per person. Pattern Recognit. Lett. 128 (2019)
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
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1 (6) (2019)
Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20 (1) (2019)
Hai Su, Xiaoshuang Shi, Jinzheng Cai, Lin Yang
Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification. MICCAI (1) (2019)
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
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1 (8) (2019)
Pingjun Chen, Linlin Gao, Xiaoshuang Shi, Kyle Allen, Lin Yang
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss. Comput. Medical Imaging Graph. 75 (2019)
Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang
Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20 (1) (2019)
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
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1 (5) (2019)
Xiaoshuang Shi, Manish Sapkota, Fuyong Xing, Fujun Liu, Lei Cui, Lin Yang
Pairwise based deep ranking hashing for histopathology image classification and retrieval. Pattern Recognit. 81 (2018)
Xiaoshuang Shi, Feiping Nie, Zhihui Lai, Zhenhua Guo
-norms minimization. Neurocomputing 283 (2018)
Yuanpu Xie, Fuyong Xing, Xiaoshuang Shi, Xiangfei Kong, Hai Su, Lin Yang
Efficient and robust cell detection: A structured regression approach. Medical Image Anal. 44 (2018)
Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. MICCAI (2) (2018)
Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. CoRR (2018)
Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Jinzheng Cai, Lin Yang
Self-learning for face clustering. Pattern Recognit. 79 (2018)
Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang
A Scalable Optimization Mechanism for Pairwise based Discrete Hashing. CoRR (2018)
Zizhao Zhang, Fuyong Xing, Hanzi Wang, Yan Yan, Ying Huang, Xiaoshuang Shi, Lin Yang
Revisiting graph construction for fast image segmentation. Pattern Recognit. 78 (2018)
Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection. CoRR (2017)
Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Yuanpu Xie, Hai Su, Lin Yang
Supervised graph hashing for histopathology image retrieval and classification. Medical Image Anal. 42 (2017)
Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang
Asymmetric Discrete Graph Hashing. AAAI (2017)
Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
Revisiting Graph Construction for Fast Image Segmentation. CoRR (2017)
Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Hai Su, Lin Yang
Cell Encoding for Histopathology Image Classification. MICCAI (2) (2017)
Qin Li, Xiaoshuang Shi, Linfei Zhou, Zhifeng Bao, Zhenhua Guo
Active learning via local structure reconstruction. Pattern Recognit. Lett. 92 (2017)
Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang
Kernel-Based Supervised Discrete Hashing for Image Retrieval. ECCV (7) (2016)
Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
SemiContour: A Semi-supervised Learning Approach for Contour Detection. CoRR (2016)
Fuyong Xing, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, Lin Yang
Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. MICCAI (3) (2016)
Xiaoshuang Shi, Zhenhua Guo, Feiping Nie, Lin Yang, Jane You, Dacheng Tao
Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38 (10) (2016)
Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
SemiContour: A Semi-Supervised Learning Approach for Contour Detection. CVPR (2016)
Xiaoshuang Shi, Zhenhua Guo, Zhihui Lai, Yujiu Yang, Zhifeng Bao, David Zhang
A Framework of Joint Graph Embedding and Sparse Regression for Dimensionality Reduction. IEEE Trans. Image Process. 24 (4) (2015)
Xiaoshuang Shi, Zhenhua Guo, Yujiu Yang, Lin Yang
Within-class penalty based multi-class support vector machine. ICIP (2015)
Xiaoshuang Shi, Yujiu Yang, Zhenhua Guo, Zhihui Lai
-norm minimization. Pattern Recognit. 47 (7) (2014)
Xiaoshuang Shi, Zhihui Lai, Zhenhua Guo, Minghua Wan, Cairong Zhao, Heng Kong
Sparse Principal Component Analysis via Joint L 2, 1-Norm Penalty. Australasian Conference on Artificial Intelligence (2013)
Peipei Jia, Tai Zhang, Wei Cui, Jie Zhang, Xiaoshuang Shi
Based on AHP Quantitative Assessment of Tourism Impact. ICICA (1) (2011)