Xiaoshuang Shi

112 papers A* 20B 2Journal 71Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. AAAI Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu
2026	J	`jnl`	Interpretable multi-view fusion network via multi-view dual alignment and private bias filtering for Alzheimer's disease analysis. Inf. Fusion Jinghao Xu, Chenxi Yuan, Yi Jing, Huifang Shang, Xiaoshuang Shi, Xiaofeng Zhu
2025	J	`jnl`	Background Prompt for Few-Shot Out-of-Distribution Detection. CoRR Songyue Cai, Zongqian Wu, Yujie Mo, Liang Peng, Ping Hu, Xiaoshuang Shi, Xiaofeng Zhu
2025	J	`jnl`	COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. CoRR Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu
2025	J	`jnl`	Conformal Lesion Segmentation for 3D Medical Images. CoRR Binyu Tan, Zhiyuan Wang, Jinhao Duan, Kaidi Xu, Heng Tao Shen, Xiaoshuang Shi, Fumin Shen
2025	J	`jnl`	Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification. Inf. Fusion Rui Wang, Xiaoshuang Shi, Shuting Pang, Yidi Chen, Xiaofeng Zhu, Wentao Wang, Jiabin Cai, Danjun Song, Kang Li
2025	J	`jnl`	Dynamic graph based weakly supervised deep hashing for whole slide image classification and retrieval. Medical Image Anal. Haochen Jin, Junyi Shen, Lei Cui, Xiaoshuang Shi, Kang Li, Xiaofeng Zhu
2025	A*	`conf`	Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks. ICML Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu
2025	J	`jnl`	Exploring Unbiased Activation Maps for Weakly Supervised Tissue Segmentation of Histopathological Images. IEEE Trans. Medical Imaging Yuxin Kang, Hansheng Li, Xiaoshuang Shi, Xiao Zhang, Yaqiong Xing, Yuting Wen, Yi Wang, Lei Cui, Jun Feng, Lin Yang
2025	J	`jnl`	Feature Noise Boosts DNN Generalization Under Label Noise. IEEE Trans. Neural Networks Learn. Syst. Lu Zeng, Xuan Chen, Xiaoshuang Shi, Heng Tao Shen
2025	J	`jnl`	Interpretable 2.5D network by hierarchical attention and consistency learning for 3D MRI classification. Pattern Recognit. Shuting Pang, Yidi Chen, Xiaoshuang Shi, Rui Wang, Mingzhe Dai, Xiaofeng Zhu, Bin Song, Kang Li
2025	—	`conf`	Interpretable Multi-View Fusion Network for Alzheimer's Disease Diagnosis with Large-Scale Pre-Trained Vision-Language Model. BIBM Qiang Ma, Jinghao Xu, Tengfei Li, Xin Yuan, Xiaofeng Zhu, Xiaoshuang Shi
2025	J	`jnl`	LEC: Linear Expectation Constraints for False-Discovery Control in Selective Prediction and Routing Systems. CoRR Zhiyuan Wang, Aniri, Tianlong Chen, Yue Zhang, Heng Tao Shen, Xiaoshuang Shi, Kaidi Xu
2025	J	`jnl`	LRR-Bench: Left, Right or Rotate? Vision-Language models Still Struggle With Spatial Understanding Tasks. CoRR Fei Kong, Jinhao Duan, Kaidi Xu, Zhenhua Guo, Xiaofeng Zhu, Xiaoshuang Shi
2025	A*	`conf`	Meta Label Correction with Generalization Regularizer. IJCAI Tao Tong, Yujie Mo, Yucheng Xie, Songyue Cai, Xiaoshuang Shi, Xiaofeng Zhu
2025	—	`conf`	SConU: Selective Conformal Uncertainty in Large Language Models. ACL (1) Zhiyuan Wang, Qingni Wang, Yue Zhang, Tianlong Chen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2025	J	`jnl`	SConU: Selective Conformal Uncertainty in Large Language Models. CoRR Zhiyuan Wang, Qingni Wang, Yue Zhang, Tianlong Chen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2025	J	`jnl`	The Final Layer Holds the Key: A Unified and Efficient GNN Calibration Framework. CoRR Jincheng Huang, Jie Xu, Xiaoshuang Shi, Ping Hu, Lei Feng, Xiaofeng Zhu
2025	J	`jnl`	TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention. CoRR Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2025	J	`jnl`	Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond. Eng. Appl. Artif. Intell. Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Yue Zhang, Ren Wang, Xiaoshuang Shi, Kaidi Xu
2024	A*	`conf`	ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. CVPR Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2024	A*	`conf`	An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. ICLR Fei Kong, Jinhao Duan, Ruipeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu
2024	A*	`conf`	Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation. ACM Multimedia Jin Sun, Xiaoshuang Shi, Zhiyuan Wang, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu
2024	—	`conf`	ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. EMNLP (Findings) Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu
2024	J	`jnl`	ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. CoRR Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2024	J	`jnl`	ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network. CoRR Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu
2024	A*	`conf`	Exploring the Role of Node Diversity in Directed Graph Representation Learning. IJCAI Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu
2024	J	`jnl`	GRLC: Graph Representation Learning With Constraints. IEEE Trans. Neural Networks Learn. Syst. Liang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu
2024	J	`jnl`	Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer's disease analysis. Pattern Recognit. Jinghao Xu, Chenxi Yuan, Xiaochuan Ma, Huifang Shang, Xiaoshuang Shi, Xiaofeng Zhu
2024	—	`conf`	Knowledge Distillation Based Dual-Branch Network for Whole Slide Image Analysis. MLMI@MICCAI (1) Weiheng Fu, Meilan Xu, Jie Wu, Xiaoshuang Shi, Kang Li, Xiaofeng Zhu
2024	A*	`conf`	On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective. ICML Jincheng Huang, Jialie Shen, Xiaoshuang Shi, Xiaofeng Zhu
2024	—	`conf`	Patch Target Guided Dual-Branch Deep Multiple Instance Learning for 3D MRI Analysis. BIBM Mingzhe Dai, Xiaoshuang Shi, Xiaofeng Zhu, Tingrui Pan, Kang Li
2024	J	`jnl`	Reverse Graph Learning for Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. Liang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
2024	J	`jnl`	Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. CoRR Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi
2023	J	`jnl`	ACT: Adversarial Consistency Models. CoRR Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. IEEE Trans. Image Process. Jie Xu, Chao Li, Liang Peng, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
2023	J	`jnl`	An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. CoRR Fei Kong, Jinhao Duan, Ruipeng Ma, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2023	A*	`conf`	Are Diffusion Models Vulnerable to Membership Inference Attacks? ICML Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	Are Diffusion Models Vulnerable to Membership Inference Attacks? CoRR Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu
2023	B	`conf`	Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans. Image Processing Amr S. Elsawy, Tiarnan D. Kenan, Qingyu Chen, Xiaoshuang Shi, Emily Y. Chew, Zhiyong Lu
2023	—	`conf`	Co-assistant Networks for Label Correction. MICCAI (3) Xuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu
2023	A*	`conf`	Disentangled Multiplex Graph Representation Learning. ICML Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
2023	J	`jnl`	Exposing the Fake: Effective Diffusion-Generated Images Detection. CoRR Ruipeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis. IEEE Trans. Emerg. Top. Comput. Intell. Hengxin Li, Xiaoshuang Shi, Xiaofeng Zhu, Shuihua Wang, Zheng Zhang
2023	J	`jnl`	Feature Noise Boosts DNN Generalization under Label Noise. CoRR Lu Zeng, Xuan Chen, Xiaoshuang Shi, Heng Tao Shen
2023	J	`jnl`	IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis. Inf. Process. Manag. Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, Rongyao Hu
2023	A*	`conf`	Improve Video Representation with Temporal Adversarial Augmentation. IJCAI Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	Improve Video Representation with Temporal Adversarial Augmentation. CoRR Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios. CoRR Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
2023	J	`jnl`	Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis. Medical Image Anal. Hangchen Xiang, Junyi Shen, Qingguo Yan, Meilian Xu, Xiaoshuang Shi, Xiaofeng Zhu
2023	J	`jnl`	Multiplex Graph Representation Learning Via Dual Correlation Reduction. IEEE Trans. Knowl. Data Eng. Yujie Mo, Yuhuan Chen, Yajie Lei, Liang Peng, Xiaoshuang Shi, Changan Yuan, Xiaofeng Zhu
2023	A*	`conf`	Multiplex Graph Representation Learning via Common and Private Information Mining. AAAI Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
2023	—	`conf`	Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. MICCAI (6) 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
2023	A*	`conf`	Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration. NeurIPS Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu
2023	J	`jnl`	Self-paced resistance learning against overfitting on noisy labels. Pattern Recognit. Xiaoshuang Shi, Zhenhua Guo, Kang Li, Yun Liang, Xiaofeng Zhu
2023	J	`jnl`	UNTIE: Clustering analysis with disentanglement in multi-view information fusion. Inf. Fusion Jie Xu, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
2023	J	`jnl`	Using Caterpillar to Nibble Small-Scale Images. CoRR Jin Sun, Xiaoshuang Shi, Zhiyuan Weng, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu
2023	J	`jnl`	Why does batch normalization induce the model vulnerability on adversarial images? World Wide Web (WWW) Fei Kong, Fangqi Liu, Kaidi Xu, Xiaoshuang Shi
2022	A*	`conf`	Complementary Graph Representation Learning for Functional Neuroimaging Identification. ACM Multimedia Rongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu
2022	A*	`conf`	Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. AAAI Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
2022	—	`conf`	Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. MICCAI (8) Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu
2022	—	`conf`	Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation. BIBM Yuxin Kang, Hansheng Li, Xuan Zhao, Xiaoshuang Shi, Feihong Liu, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang
2022	J	`jnl`	Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data. Inf. Process. Manag. Rongyao Hu, Jiangzhang Gan, Xiaofeng Zhu, Tong Liu, Xiaoshuang Shi
2022	J	`jnl`	Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu
2022	A*	`conf`	Simple Self-supervised Multiplex Graph Representation Learning. ACM Multimedia Yujie Mo, Yuhuan Chen, Liang Peng, Xiaoshuang Shi, Xiaofeng Zhu
2022	A*	`conf`	Simple Unsupervised Graph Representation Learning. AAAI Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu
2021	J	`jnl`	A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing. IEEE Trans. Image Process. Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang
2021	J	`jnl`	Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion. Neurocomputing Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, Paul D. Gader
2021	J	`jnl`	Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks. IEEE Trans. Image Process. Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Pingjun Chen, Yun Liang, Zhiyong Lu, Zhenhua Guo
2021	J	`jnl`	Self-paced Resistance Learning against Overfitting on Noisy Labels. CoRR Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu
2021	J	`jnl`	Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. IEEE Trans. Pattern Anal. Mach. Intell. Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang
2021	—	`conf`	Vehicle Routing and Scheduling Optimization of Centralized Commuting Service. AIAM (ACM) Jiyang Dong, Xiaoshuang Shi
2020	—	`conf`	A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets. MICCAI (5) Hansheng Li, Xin Han, Yuxin Kang, Xiaoshuang Shi, Mengdi Yan, Zixu Tong, Qirong Bu, Lei Cui, Jun Feng, Lin Yang
2020	J	`jnl`	Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing. Int. J. Comput. Vis. Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Lin Yang
2020	J	`jnl`	Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. Medical Image Anal. Xiaoshuang Shi, Hai Su, Fuyong Xing, Yun Liang, Gang Qu, Lin Yang
2020	J	`jnl`	Interactive thyroid whole slide image diagnostic system using deep representation. Comput. Methods Programs Biomed. Pingjun Chen, Xiaoshuang Shi, Yun Liang, Yuan Li, Lin Yang, Paul D. Gader
2020	A*	`conf`	Loss-Based Attention for Deep Multiple Instance Learning. AAAI Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang
2019	J	`jnl`	Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang
2019	J	`jnl`	Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images. IEEE J. Biomed. Health Informatics Manish Sapkota, Xiaoshuang Shi, Fuyong Xing, Lin Yang
2019	—	`ch.`	Deep Hashing and Its Application for Histopathology Image Analysis. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Xiaoshuang Shi, Lin Yang
2019	J	`jnl`	Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss. Comput. Medical Imaging Graph. Pingjun Chen, Linlin Gao, Xiaoshuang Shi, Kyle Allen, Lin Yang
2019	—	`conf`	Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification. MICCAI (1) Hai Su, Xiaoshuang Shi, Jinzheng Cai, Lin Yang
2019	J	`jnl`	Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 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
2019	J	`jnl`	Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 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
2019	J	`jnl`	Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 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
2019	J	`jnl`	Similarity mapping for robust face recognition via a single training sample per person. Pattern Recognit. Lett. Qin Li, Xiaoshuang Shi, Zhenhua Guo
2019	J	`jnl`	Structured orthogonal matching pursuit for feature selection. Neurocomputing Xiaoshuang Shi, Fuyong Xing, Zhenhua Guo, Hai Su, Fujun Liu, Lin Yang
2019	J	`jnl`	Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang
2018	J	`jnl`	A Scalable Optimization Mechanism for Pairwise based Discrete Hashing. CoRR Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang
2018	J	`jnl`	Efficient and robust cell detection: A structured regression approach. Medical Image Anal. Yuanpu Xie, Fuyong Xing, Xiaoshuang Shi, Xiangfei Kong, Hai Su, Lin Yang
2018	—	`conf`	Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. MICCAI (2) Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang
2018	J	`jnl`	Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. CoRR Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang
2018	J	`jnl`	Pairwise based deep ranking hashing for histopathology image classification and retrieval. Pattern Recognit. Xiaoshuang Shi, Manish Sapkota, Fuyong Xing, Fujun Liu, Lei Cui, Lin Yang
2018	J	`jnl`	Revisiting graph construction for fast image segmentation. Pattern Recognit. Zizhao Zhang, Fuyong Xing, Hanzi Wang, Yan Yan, Ying Huang, Xiaoshuang Shi, Lin Yang
2018	J	`jnl`	Robust principal component analysis via optimal mean by joint ℓ Neurocomputing Xiaoshuang Shi, Feiping Nie, Zhihui Lai, Zhenhua Guo
2018	J	`jnl`	Self-learning for face clustering. Pattern Recognit. Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Jinzheng Cai, Lin Yang
2017	J	`jnl`	Active learning via local structure reconstruction. Pattern Recognit. Lett. Qin Li, Xiaoshuang Shi, Linfei Zhou, Zhifeng Bao, Zhenhua Guo
2017	A*	`conf`	Asymmetric Discrete Graph Hashing. AAAI Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang
2017	—	`conf`	Cell Encoding for Histopathology Image Classification. MICCAI (2) Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Hai Su, Lin Yang
2017	J	`jnl`	Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection. CoRR Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang
2017	J	`jnl`	Revisiting Graph Construction for Fast Image Segmentation. CoRR Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
2017	J	`jnl`	Supervised graph hashing for histopathology image retrieval and classification. Medical Image Anal. Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Yuanpu Xie, Hai Su, Lin Yang
2016	—	`conf`	Kernel-Based Supervised Discrete Hashing for Image Retrieval. ECCV (7) Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang
2016	A*	`conf`	SemiContour: A Semi-Supervised Learning Approach for Contour Detection. CVPR Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
2016	J	`jnl`	SemiContour: A Semi-supervised Learning Approach for Contour Detection. CoRR Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
2016	—	`conf`	Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. MICCAI (3) Fuyong Xing, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, Lin Yang
2016	J	`jnl`	Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Xiaoshuang Shi, Zhenhua Guo, Feiping Nie, Lin Yang, Jane You, Dacheng Tao
2015	J	`jnl`	A Framework of Joint Graph Embedding and Sparse Regression for Dimensionality Reduction. IEEE Trans. Image Process. Xiaoshuang Shi, Zhenhua Guo, Zhihui Lai, Yujiu Yang, Zhifeng Bao, David Zhang
2015	B	`conf`	Within-class penalty based multi-class support vector machine. ICIP Xiaoshuang Shi, Zhenhua Guo, Yujiu Yang, Lin Yang
2014	J	`jnl`	Face recognition by sparse discriminant analysis via joint L Pattern Recognit. Xiaoshuang Shi, Yujiu Yang, Zhenhua Guo, Zhihui Lai
2013	—	`conf`	Sparse Principal Component Analysis via Joint L 2, 1-Norm Penalty. Australasian Conference on Artificial Intelligence Xiaoshuang Shi, Zhihui Lai, Zhenhua Guo, Minghua Wan, Cairong Zhao, Heng Kong
2011	—	`conf`	Based on AHP Quantitative Assessment of Tourism Impact. ICICA (1) Peipei Jia, Tai Zhang, Wei Cui, Jie Zhang, Xiaoshuang Shi