Based on AHP Quantitative Assessment of Tourism Impact. - Peipei Jia; Tai Zhang; Wei Cui; Jie Zhang; Xiaoshuang Shi (ICICA (1), 2011)

Sparse Principal Component Analysis via Joint L 2, 1-Norm Penalty. - Xiaoshuang Shi; Zhihui Lai 001; Zhenhua Guo 001; Minghua Wan; Cairong Zhao; Heng Kong (Australasian Conference on Artificial Intelligence, 2013)

Face recognition by sparse discriminant analysis via joint L2, 1-norm minimization. - Xiaoshuang Shi; Yujiu Yang; Zhenhua Guo 001; Zhihui Lai 001 (Pattern Recognit., 2014)

Within-class penalty based multi-class support vector machine. - Xiaoshuang Shi; Zhenhua Guo 001; Yujiu Yang; Lin Yang 002 (ICIP, 2015)

A Framework of Joint Graph Embedding and Sparse Regression for Dimensionality Reduction. - Xiaoshuang Shi; Zhenhua Guo 001; Zhihui Lai 001; Yujiu Yang; Zhifeng Bao; David Zhang 001 (IEEE Trans. Image Process., 2015)

SemiContour: A Semi-Supervised Learning Approach for Contour Detection. - Zizhao Zhang; Fuyong Xing; Xiaoshuang Shi; Lin Yang 002 (CVPR, 2016)

Kernel-Based Supervised Discrete Hashing for Image Retrieval. - Xiaoshuang Shi; Fuyong Xing; Jinzheng Cai; Zizhao Zhang; Yuanpu Xie; Lin Yang 002 (ECCV (7), 2016)

Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. - Fuyong Xing; Xiaoshuang Shi; Zizhao Zhang; Jinzheng Cai; Yuanpu Xie; Lin Yang 002 (MICCAI (3), 2016)

Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis. - Xiaoshuang Shi; Zhenhua Guo 001; Feiping Nie 001; Lin Yang 002; Jane You; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Asymmetric Discrete Graph Hashing. - Xiaoshuang Shi; Fuyong Xing; Kaidi Xu; Manish Sapkota; Lin Yang 002 (AAAI, 2017)

Cell Encoding for Histopathology Image Classification. - Xiaoshuang Shi; Fuyong Xing; Yuanpu Xie; Hai Su; Lin Yang 002 (MICCAI (2), 2017)

Revisiting Graph Construction for Fast Image Segmentation. - Zizhao Zhang; Fuyong Xing; Xiaoshuang Shi; Lin Yang 002 (CoRR, 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 002 (CoRR, 2017)

Supervised graph hashing for histopathology image retrieval and classification. - Xiaoshuang Shi; Fuyong Xing; Kaidi Xu; Yuanpu Xie; Hai Su; Lin Yang 002 (Medical Image Anal., 2017)

Active learning via local structure reconstruction. - Qin Li 001; Xiaoshuang Shi; Linfei Zhou; Zhifeng Bao; Zhenhua Guo 001 (Pattern Recognit. Lett., 2017)

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. - Jinzheng Cai; Le Lu 001; Adam P. Harrison; Xiaoshuang Shi; Pingjun Chen; Lin Yang 002 (MICCAI (2), 2018)

Robust principal component analysis via optimal mean by joint ℓ2, 1 and Schatten p-norms minimization. - Xiaoshuang Shi; Feiping Nie 001; Zhihui Lai 001; Zhenhua Guo 001 (Neurocomputing, 2018)

Efficient and robust cell detection: A structured regression approach. - Yuanpu Xie; Fuyong Xing; Xiaoshuang Shi; Xiangfei Kong; Hai Su; Lin Yang 002 (Medical Image Anal., 2018)

Self-learning for face clustering. - Xiaoshuang Shi; Zhenhua Guo 001; Fuyong Xing; Jinzheng Cai; Lin Yang 002 (Pattern Recognit., 2018)

Pairwise based deep ranking hashing for histopathology image classification and retrieval. - Xiaoshuang Shi; Manish Sapkota; Fuyong Xing; Fujun Liu; Lei Cui 004; Lin Yang 002 (Pattern Recognit., 2018)

Revisiting graph construction for fast image segmentation. - Zizhao Zhang; Fuyong Xing; Hanzi Wang; Yan Yan 001; Ying Huang; Xiaoshuang Shi; Lin Yang 002 (Pattern Recognit., 2018)

Deep Hashing and Its Application for Histopathology Image Analysis. - Xiaoshuang Shi; Lin Yang 002 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification. - Hai Su; Xiaoshuang Shi; Jinzheng Cai; Lin Yang 002 (MICCAI (1), 2019)

Towards pixel-to-pixel deep nucleus detection in microscopy images. - Fuyong Xing; Yuanpu Xie; Xiaoshuang Shi; Pingjun Chen; Zizhao Zhang; Lin Yang 002 (BMC Bioinform., 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 002 (BMC Bioinform., 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 002 (Comput. Medical Imaging Graph., 2019)

Structured orthogonal matching pursuit for feature selection. - Xiaoshuang Shi; Fuyong Xing; Zhenhua Guo 001; Hai Su; Fujun Liu; Lin Yang 002 (Neurocomputing, 2019)

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. - Zizhao Zhang; Pingjun Chen; Mason McGough; Fuyong Xing; Chunbao Wang 002; Marilyn Bui; Yuanpu Xie; Manish Sapkota; Lei Cui 004; Jaspreet Singh Dhillon; Nazeel Ahmad; Farah K. Khalil; et al. (Nat. Mach. Intell., 2019)

Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. - Zizhao Zhang; Pingjun Chen; Mason McGough; Fuyong Xing; Chunbao Wang 002; Marilyn Bui; Yuanpu Xie; Manish Sapkota; Lei Cui 004; Jasreman Dhillon; Nazeel Ahmad; Farah K. Khalil; et al. (Nat. Mach. Intell., 2019)

Similarity mapping for robust face recognition via a single training sample per person. - Qin Li 001; Xiaoshuang Shi; Zhenhua Guo 001 (Pattern Recognit. Lett., 2019)

Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images. - Manish Sapkota; Xiaoshuang Shi; Fuyong Xing; Lin Yang 002 (IEEE J. Biomed. Health Informatics, 2019)

Loss-Based Attention for Deep Multiple Instance Learning. - Xiaoshuang Shi; Fuyong Xing; Yuanpu Xie; Zizhao Zhang; Lei Cui 004; Lin Yang 002 (AAAI, 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 004; Jun Feng 003; Lin Yang 002 (MICCAI (5), 2020)

Interactive thyroid whole slide image diagnostic system using deep representation. - Pingjun Chen; Xiaoshuang Shi; Yun Liang 012; Yuan Li; Lin Yang 002; Paul D. Gader (Comput. Methods Programs Biomed., 2020)

Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing. - Xiaoshuang Shi; Zhenhua Guo 001; Fuyong Xing; Yun Liang 012; Lin Yang 002 (Int. J. Comput. Vis., 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 012; Gang Qu 002; Lin Yang 002 (Medical Image Anal., 2020)

Vehicle Routing and Scheduling Optimization of Centralized Commuting Service. - Jiyang Dong; Xiaoshuang Shi (AIAM (ACM), 2021)

Self-paced Resistance Learning against Overfitting on Noisy Labels. - Xiaoshuang Shi; Zhenhua Guo 001; Fuyong Xing; Yun Liang 012; Xiaofeng Zhu 001 (CoRR, 2021)

Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion. - Pingjun Chen; Yun Liang 012; Xiaoshuang Shi; Lin Yang 002; Paul D. Gader (Neurocomputing, 2021)

Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. - Zizhao Zhang; Pingjun Chen; Xiaoshuang Shi; Lin Yang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks. - Xiaoshuang Shi; Fuyong Xing; Kaidi Xu; Pingjun Chen; Yun Liang 012; Zhiyong Lu; Zhenhua Guo 001 (IEEE Trans. Image Process., 2021)

A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing. - Xiaoshuang Shi; Fuyong Xing; Zizhao Zhang; Manish Sapkota; Zhenhua Guo 001; Lin Yang 002 (IEEE Trans. Image Process., 2021)

Simple Unsupervised Graph Representation Learning. - Yujie Mo; Liang Peng; Jie Xu 007; Xiaoshuang Shi; Xiaofeng Zhu 001 (AAAI, 2022)

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. - Jie Xu 044; Chao Li 034; Yazhou Ren 001; Liang Peng; Yujie Mo; Xiaoshuang Shi; Xiaofeng Zhu 001 (AAAI, 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 004; Jun Feng 003; Lin Yang 002 (BIBM, 2022)

Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. - Tingsong Xiao; Lu Zeng; Xiaoshuang Shi; Xiaofeng Zhu 001; Guorong Wu 001 (MICCAI (8), 2022)

Complementary Graph Representation Learning for Functional Neuroimaging Identification. - Rongyao Hu; Liang Peng; Jiangzhang Gan; Xiaoshuang Shi; Xiaofeng Zhu 001 (ACM Multimedia, 2022)

Simple Self-supervised Multiplex Graph Representation Learning. - Yujie Mo; Yuhuan Chen; Liang Peng; Xiaoshuang Shi; Xiaofeng Zhu 001 (ACM Multimedia, 2022)

Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data. - Rongyao Hu; Jiangzhang Gan; Xiaofeng Zhu 001; Tong Liu 016; Xiaoshuang Shi (Inf. Process. Manag., 2022)

Robust convolutional neural networks against adversarial attacks on medical images. - Xiaoshuang Shi; Yifan Peng 002; Qingyu Chen 001; Tiarnan D. Keenan; Alisa T. Thavikulwat; Sungwon Lee 003; Yuxing Tang; Emily Y. Chew; Ronald M. Summers; Zhiyong Lu (Pattern Recognit., 2022)

Multiplex Graph Representation Learning via Common and Private Information Mining. - Yujie Mo; Zongqian Wu; Yuhuan Chen; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (AAAI, 2023)

Are Diffusion Models Vulnerable to Membership Inference Attacks? - Jinhao Duan; Fei Kong; Shiqi Wang 002; Xiaoshuang Shi; Kaidi Xu (ICML, 2023)

Disentangled Multiplex Graph Representation Learning. - Yujie Mo; Yajie Lei; Jialie Shen 001; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (ICML, 2023)

Improve Video Representation with Temporal Adversarial Augmentation. - Jinhao Duan; Quanfu Fan; Hao Cheng 015; Xiaoshuang Shi; Kaidi Xu (IJCAI, 2023)

Co-assistant Networks for Label Correction. - Xuan Chen; Weiheng Fu; Tian Li; Xiaoshuang Shi; Hengtao Shen; Xiaofeng Zhu 001 (MICCAI (3), 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 004; Jun Feng 003; Wentao Yang; et al. (MICCAI (6), 2023)

Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans. - Amr S. Elsawy; Tiarnan D. Kenan; Qingyu Chen 001; Xiaoshuang Shi; Emily Y. Chew; Zhiyong Lu (Image Processing, 2023)

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration. - Jie Xu 044; Shuo Chen 003; Yazhou Ren 001; Xiaoshuang Shi; Hengtao Shen; Gang Niu 001; Xiaofeng Zhu 001 (NeurIPS, 2023)

Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios. - Jie Xu 044; Gang Niu 001; Xiaolong Wang; Yazhou Ren 001; Lei Feng 006; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (CoRR, 2023)

Using Caterpillar to Nibble Small-Scale Images. - Jin Sun 005; Xiaoshuang Shi; Zhiyuan Weng; Kaidi Xu; Heng Tao Shen; Xiaofeng Zhu 001 (CoRR, 2023)

Exposing the Fake: Effective Diffusion-Generated Images Detection. - Ruipeng Ma; Jinhao Duan; Fei Kong; Xiaoshuang Shi; Kaidi Xu (CoRR, 2023)

ACT: Adversarial Consistency Models. - Fei Kong; Jinhao Duan; Lichao Sun 001; Hao Cheng 015; Renjing Xu; Hengtao Shen; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CoRR, 2023)

Self-paced resistance learning against overfitting on noisy labels. - Xiaoshuang Shi; Zhenhua Guo 001; Kang Li 004; Yun Liang 012; Xiaofeng Zhu 001 (Pattern Recognit., 2023)

Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. - Jie Xu 044; Chao Li 034; Liang Peng; Yazhou Ren 001; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (IEEE Trans. Image Process., 2023)

FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis. - Hengxin Li; Xiaoshuang Shi; Xiaofeng Zhu 001; Shuihua Wang; Zheng Zhang 006 (IEEE Trans. Emerg. Top. Comput. Intell., 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., 2023)

Why does batch normalization induce the model vulnerability on adversarial images? - Fei Kong; Fangqi Liu; Kaidi Xu; Xiaoshuang Shi (World Wide Web (WWW), 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 001 (Medical Image Anal., 2023)

UNTIE: Clustering analysis with disentanglement in multi-view information fusion. - Jie Xu 044; Yazhou Ren 001; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (Inf. Fusion, 2023)

Multiplex Graph Representation Learning Via Dual Correlation Reduction. - Yujie Mo; Yuhuan Chen; Yajie Lei; Liang Peng; Xiaoshuang Shi; Changan Yuan 001; Xiaofeng Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Patch Target Guided Dual-Branch Deep Multiple Instance Learning for 3D MRI Analysis. - Mingzhe Dai; Xiaoshuang Shi; Xiaofeng Zhu 001; Tingrui Pan; Kang Li 004 (BIBM, 2024)

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. - Fei Kong; Jinhao Duan; Lichao Sun 001; Hao Cheng 015; Renjing Xu; Hengtao Shen; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CVPR, 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 001 (EMNLP (Findings), 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 001; Kaidi Xu (ICLR, 2024)

On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective. - Jincheng Huang 005; Jialie Shen 001; Xiaoshuang Shi; Xiaofeng Zhu 001 (ICML, 2024)

Exploring the Role of Node Diversity in Directed Graph Representation Learning. - Jincheng Huang 005; Yujie Mo; Ping Hu 001; Xiaoshuang Shi; Shangbo Yuan; Zeyu Zhang; Xiaofeng Zhu 001 (IJCAI, 2024)

Knowledge Distillation Based Dual-Branch Network for Whole Slide Image Analysis. - Weiheng Fu; Meilan Xu; Jie Wu; Xiaoshuang Shi; Kang Li 004; Xiaofeng Zhu 001 (MLMI@MICCAI (1), 2024)

Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation. - Jin Sun 005; Xiaoshuang Shi; Zhiyuan Wang; Kaidi Xu; Heng Tao Shen; Xiaofeng Zhu 001 (ACM Multimedia, 2024)

Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. - Zhiyuan Wang; Jinhao Duan; Chenxi Yuan; Qingyu Chen 001; Tianlong Chen 001; Huaxiu Yao; Yue Zhang; Ren Wang 008; Kaidi Xu; Xiaoshuang Shi (CoRR, 2024)

ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network. - Jincheng Huang 005; Yujie Mo; Xiaoshuang Shi; Lei Feng 006; Xiaofeng Zhu 001 (CoRR, 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 001 (Pattern Recognit., 2024)

Reverse Graph Learning for Graph Neural Network. - Liang Peng; Rongyao Hu; Fei Kong; Jiangzhang Gan; Yujie Mo; Xiaoshuang Shi; Xiaofeng Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

GRLC: Graph Representation Learning With Constraints. - Liang Peng; Yujie Mo; Jie Xu 044; Jialie Shen 001; Xiaoshuang Shi; Xiaoxiao Li; Heng Tao Shen; Xiaofeng Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

SConU: Selective Conformal Uncertainty in Large Language Models. - Zhiyuan Wang; Qingni Wang; Yue Zhang; Tianlong Chen 001; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (ACL (1), 2025)

Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond. - Zhiyuan Wang; Jinhao Duan; Chenxi Yuan; Qingyu Chen 001; Tianlong Chen 001; Yue Zhang; Ren Wang 008; Xiaoshuang Shi; Kaidi Xu (Eng. Appl. Artif. Intell., 2025)

Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification. - Rui Wang 108; Xiaoshuang Shi; Shuting Pang; Yidi Chen; Xiaofeng Zhu 001; Wentao Wang; Jiabin Cai; Danjun Song; Kang Li 004 (Inf. Fusion, 2025)

Dynamic graph based weakly supervised deep hashing for whole slide image classification and retrieval. - Haochen Jin; Junyi Shen; Lei Cui; Xiaoshuang Shi; Kang Li 004; Xiaofeng Zhu 001 (Medical Image Anal., 2025)

Interpretable 2.5D network by hierarchical attention and consistency learning for 3D MRI classification. - Shuting Pang; Yidi Chen; Xiaoshuang Shi; Rui Wang 108; Mingzhe Dai; Xiaofeng Zhu 001; Bin Song 002; Kang Li 004 (Pattern Recognit., 2025)

TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention. - Jinhao Duan; Fei Kong; Hao Cheng 015; James Diffenderfer; Bhavya Kailkhura; Lichao Sun 001; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CoRR, 2025)

Feature Noise Boosts DNN Generalization Under Label Noise. - Lu Zeng; Xuan Chen; Xiaoshuang Shi; Heng Tao Shen (IEEE Trans. Neural Networks Learn. Syst., 2025)

The Final Layer Holds the Key: A Unified and Efficient GNN Calibration Framework. - Jincheng Huang 005; Jie Xu 044; Xiaoshuang Shi; Ping Hu 001; Lei Feng 006; Xiaofeng Zhu 001 (CoRR, 2025)

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. - Zhiyuan Wang; Jinhao Duan; Qingni Wang; Xiaofeng Zhu 001; Tianlong Chen 001; Xiaoshuang Shi; Kaidi Xu (CoRR, 2025)

Exploring Unbiased Activation Maps for Weakly Supervised Tissue Segmentation of Histopathological Images. - Yuxin Kang; Hansheng Li; Xiaoshuang Shi; Xiao Zhang 028; Yaqiong Xing; Yuting Wen; Yi Wang; Lei Cui 004; Jun Feng 003; Lin Yang 002 (IEEE Trans. Medical Imaging, 2025)

LRR-Bench: Left, Right or Rotate? Vision-Language models Still Struggle With Spatial Understanding Tasks. - Fei Kong; Jinhao Duan; Kaidi Xu; Zhenhua Guo 001; Xiaofeng Zhu 001; Xiaoshuang Shi (CoRR, 2025)

Interpretable multi-view fusion network via multi-view dual alignment and private bias filtering for Alzheimer's disease analysis. - Jinghao Xu; Chenxi Yuan; Yi Jing; Huifang Shang; Xiaoshuang Shi; Xiaofeng Zhu 001 (Inf. Fusion, 2026)