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2025

2024

A novel federated multi-view clustering method for unaligned and incomplete data fusionYazhou Ren 0001, Xinyue Chen, Jie Xu 0044, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu 0001, Zhifeng Hao, Lifang He 0001. inffus, 108:102357, 2024. [doi]

Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-ConcatenationJin Sun 0005, Xiaoshuang Shi, Zhiyuan Wang, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu 0001. mm 2024: 7123-7132 [doi]

Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View ScenariosJie Xu 0044, Yazhou Ren 0001, Xiaolong Wang, Lei Feng 0006, Zheng Zhang 0006, Gang Niu 0001, Xiaofeng Zhu 0001. cvpr 2024: 22957-22966 [doi]

Patch Target Guided Dual-Branch Deep Multiple Instance Learning for 3D MRI AnalysisMingzhe Dai, Xiaoshuang Shi, Xiaofeng Zhu 0001, Tingrui Pan, Kang Li 0004. bibm 2024: 903-910 [doi]

Knowledge Distillation Based Dual-Branch Network for Whole Slide Image AnalysisWeiheng Fu, Meilan Xu, Jie Wu, Xiaoshuang Shi, Kang Li, Xiaofeng Zhu 0001. mlmi-ws 2025: 392-401 [doi]

Multigraph Fusion for Dynamic Graph Convolutional NetworkJiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang 0001, Liang Peng, Yonghua Zhu, Xiaofeng Zhu 0001. tnn, 35(1):196-207, January 2024. [doi]

Multiplex Graph Representation Learning via Bi-level OptimizationYudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen, Xiaofeng Zhu 0001. IJCAI 2024: 2081-2089 [doi]

On Which Nodes Does GCN Fail? Enhancing GCN From the Node PerspectiveJincheng Huang, Jialie Shen 0001, Xiaoshuang Shi, Xiaofeng Zhu 0001. icml 2024: [doi]

Exploring the Role of Node Diversity in Directed Graph Representation LearningJincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu 0001. IJCAI 2024: 2072-2080 [doi]

An Efficient Membership Inference Attack for the Diffusion Model by Proximal InitializationFei Kong, Jinhao Duan, Ruipeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu 0001, Kaidi Xu. iclr 2024: [doi]

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion ModelsFei Kong, Jinhao Duan, Lichao Sun 0001, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu 0001, Xiaoshuang Shi, Kaidi Xu. cvpr 2024: 8890-8899 [doi]

SV-Learner: Support-Vector Contrastive Learning for Robust Learning With Noisy LabelsXin Liang, Yanli Ji, Wei-Shi Zheng 0001, Wangmeng Zuo, Xiaofeng Zhu 0001. tkde, 36(10):5409-5422, October 2024. [doi]

A noise-resistant graph neural network by semi-supervised contrastive learningZhengyu Lu, Junbo Ma, Zongqian Wu, Bo Zhou, Xiaofeng Zhu 0001. isci, 658:120001, February 2024. [doi]

Simple Contrastive Multi-View Clustering with Data-Level FusionCaixuan Luo, Jie Xu 0044, Yazhou Ren 0001, Junbo Ma, Xiaofeng Zhu 0001. IJCAI 2024: 4697-4705 [doi]

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering PerspectiveYujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu 0001, Xinchao Wang. nips 2024: [doi]

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity ViewYujie Mo, Feiping Nie 0001, Ping Hu, Heng Tao Shen, Zheng Zhang 0006, Xinchao Wang, Xiaofeng Zhu 0001. iclr 2024: [doi]

Reverse Graph Learning for Graph Neural NetworkLiang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu 0001. tnn, 35(4):4530-4541, April 2024. [doi]

MMGPL: Multimodal Medical Data Analysis with Graph Prompt LearningLiang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu 0001, Xiaoxiao Li. mia, 97:103225, 2024. [doi]

GRLC: Graph Representation Learning With ConstraintsLiang Peng, Yujie Mo, Jie Xu 0044, Jialie Shen 0001, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu 0001. tnn, 35(6):8609-8622, June 2024. [doi]

FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement LearningThanveer Shaik, Xiaohui Tao 0001, Lin Li 0001, Haoran Xie 0001, Taotao Cai, Xiaofeng Zhu 0001, Qing Li 0001. tkde, 36(10):5153-5167, October 2024. [doi]

GATrack: Group-Aware features for multiple object trackingXiaolong Wang, Ping Hu, Rongyao Hu, Xiaofeng Zhu 0001. icmcs 2024: 1-6 [doi]

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage GuaranteesZhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu 0001. emnlp 2024: 6886-6898 [doi]

Adaptive Multi-Modality Prompt LearningZongqian Wu, Yujing Liu, Mengmeng Zhan, Ping Hu 0001, Xiaofeng Zhu 0001. mm 2024: 8672-8680 [doi]

Graph augmentation for node-level few-shot learningZongqian Wu, Peng Zhou, Junbo Ma, Jilian Zhang, Guoqin Yuan, Xiaofeng Zhu 0001. kbs, 297:111872, 2024. [doi]

Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer's disease analysisJinghao Xu, Chenxi Yuan, Xiaochuan Ma, Huifang Shang, Xiaoshuang Shi, Xiaofeng Zhu 0001. PR, 152:110450, 2024. [doi]

Towards Dynamic-Prompting Collaboration for Source-Free Domain AdaptationMengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu 0001. IJCAI 2024: 1643-1651 [doi]

2023

Self-paced principal component analysisZhao Kang 0001, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu 0001, Ling Tian. PR, 142:109692, October 2023. [doi]

TFUN: Trilinear Fusion Network for Ternary Image-Text RetrievalXing Xu 0001, Jialiang Sun, Zuo Cao, Yin Zhang, Xiaofeng Zhu 0001, Heng Tao Shen. inffus, 91:327-337, 2023. [doi]

UNTIE: Clustering analysis with disentanglement in multi-view information fusionJie Xu 0044, Yazhou Ren 0001, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu 0001. inffus, 100:101937, December 2023. [doi]

Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View ClusteringJie Xu 0044, Chao Li, Liang Peng, Yazhou Ren 0001, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu 0001. TIP, 32:1354-1366, 2023. [doi]

Co-assistant Networks for Label CorrectionXuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu 0001. miccai 2023: 159-168 [doi]

Federated Deep Multi-View Clustering with Global Self-SupervisionXinyue Chen, Jie Xu, Yazhou Ren 0001, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu 0001, Zhifeng Hao, Lifang He 0001. mm 2023: 3498-3506 [doi]

On the Imaginary Wings: Text-Assisted Complex-Valued Fusion Network for Fine-Grained Visual ClassificationXiang Guan, Yang Yang 0002, Jingjing Li 0001, Xiaofeng Zhu 0001, Jingkuan Song, Heng Tao Shen. tnn, 34(8):5112-5121, August 2023. [doi]

FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease AnalysisHengxin Li, Xiaoshuang Shi, Xiaofeng Zhu 0001, Shuihua Wang, Zheng Zhang 0006. tetci, 7(1):15-25, February 2023. [doi]

Dual Label-Guided Graph Refinement for Multi-View Graph ClusteringYawen Ling, Jianpeng Chen, Yazhou Ren 0001, Xiaorong Pu, Jie Xu 0044, Xiaofeng Zhu 0001, Lifang He 0001. AAAI 2023: 8791-8798 [doi]

Multi-teacher Self-training for Semi-supervised Node Classification with Noisy LabelsYujing Liu, Zongqian Wu, Zhengyu Lu, Guoqiu Wen, Junbo Ma, Guangquan Lu, Xiaofeng Zhu 0001. mm 2023: 2946-2954 [doi]

Multiplex Graph Representation Learning Via Dual Correlation ReductionYujie Mo, Yuhuan Chen, Yajie Lei, Liang Peng, Xiaoshuang Shi, Changan Yuan, Xiaofeng Zhu 0001. tkde, 35(12):12814-12827, December 2023. [doi]

Multiplex Graph Representation Learning via Common and Private Information MiningYujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu 0001. AAAI 2023: 9217-9225 [doi]

Disentangled Multiplex Graph Representation LearningYujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu 0001. icml 2023: 24983-25005 [doi]

GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI AnalysisLiang Peng, Nan Wang, Jie Xu 0044, Xiaofeng Zhu 0001, Xiaoxiao Li. tmi, 42(2):391-402, February 2023. [doi]

FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease PredictionLiang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu 0001, Xiaoxiao Li. tmi, 42(7):2032-2043, 2023. [doi]

Self-paced resistance learning against overfitting on noisy labelsXiaoshuang Shi, Zhenhua Guo 0001, Kang Li, Yun Liang 0012, Xiaofeng Zhu 0001. PR, 134:109080, 2023. [doi]

A Universal Unbiased Method for Classification from Aggregate ObservationsZixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu 0001, Xiaofeng Zhu 0001, Heng Tao Shen. icml 2023: 36804-36820 [doi]

Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysisHangchen Xiang, Junyi Shen, Qingguo Yan, Meilian Xu, Xiaoshuang Shi, Xiaofeng Zhu 0001. mia, 89:102890, October 2023. [doi]

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation DegenerationJie Xu, Shuo Chen, Yazhou Ren 0001, Xiaoshuang Shi, Hengtao Shen, Gang Niu 0001, Xiaofeng Zhu 0001. nips 2023: [doi]

Dynamic graph convolutional networks by semi-supervised contrastive learningGuolin Zhang, Zehui Hu, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu 0001. PR, 139:109486, July 2023. [doi]

Totally Dynamic Hypergraph Neural NetworksPeng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu 0001. IJCAI 2023: 2476-2483 [doi]

2022

Structured Graph Learning for Scalable Subspace Clustering: From Single View to MultiviewZhao Kang 0001, Zhiping Lin, Xiaofeng Zhu 0001, Wenbo Xu. tcyb, 52(9):8976-8986, 2022. [doi]

Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph LearningXiaofeng Zhu 0001, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, Yue Gao 0002. tkde, 34(6):3016-3028, 2022. [doi]

Robust self-tuning multi-view clusteringChang-an Yuan 0001, Yonghua Zhu, Zhi Zhong, Wei Zheng, Xiaofeng Zhu 0001. www, 25(2):489-512, 2022. [doi]

Multi-view Unsupervised Graph Representation LearningJiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu 0001. IJCAI 2022: 2987-2993 [doi]

View-Invariant Human Action Recognition Via View Transformation Network (VTN)Lingling Gao, Yanli Ji, Kumie Gedamu, Xiaofeng Zhu 0001, Xing Xu 0001, Heng Tao Shen. tmm, 24:4493-4503, 2022. [doi]

Complementary Graph Representation Learning for Functional Neuroimaging IdentificationRongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu 0001. mm 2022: 3385-3393 [doi]

Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT dataRongyao Hu, Jiangzhang Gan, Xiaofeng Zhu 0001, Tong Liu, Xiaoshuang Shi. ipm, 59(1):102782, 2022. [doi]

Simple Self-supervised Multiplex Graph Representation LearningYujie Mo, Yuhuan Chen, Liang Peng, Xiaoshuang Shi, Xiaofeng Zhu 0001. mm 2022: 3301-3309 [doi]

Universal Weighting Metric Learning for Cross-Modal RetrievalJiwei Wei, Yang Yang 0002, Xing Xu 0001, Xiaofeng Zhu 0001, Heng Tao Shen. pami, 44(10):6534-6545, 2022. [doi]

Information Augmentation for Few-shot Node ClassificationZongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu 0001. IJCAI 2022: 3601-3607 [doi]

Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease DiagnosisTingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu 0001, Guorong Wu 0001. miccai 2022: 406-415 [doi]

Flow-Edge Guided Unsupervised Video Object SegmentationYifeng Zhou, Xing Xu 0001, Fumin Shen, Xiaofeng Zhu 0001, Heng Tao Shen. tcsv, 32(12):8116-8127, 2022. [doi]

Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysisYonghua Zhu, Junbo Ma, Changan Yuan 0001, Xiaofeng Zhu 0001. inffus, 77:53-61, 2022. [doi]

2021

HCMSL: Hybrid Cross-modal Similarity Learning for Cross-modal RetrievalChengyuan Zhang 0001, Jiayu Song, Xiaofeng Zhu 0001, Lei Zhu, Shichao Zhang. tomccap, 17(1s), 2021. [doi]

Efficient Utilization of Missing Data in Cost-Sensitive LearningXiaofeng Zhu 0001, Jianye Yang, Chengyuan Zhang, Shichao Zhang. tkde, 33(6):2425-2436, 2021. [doi]

Privacy-preserving Multimedia Data AnalysisXiaofeng Zhu 0001, Kim-Han Thung, Minjeong Kim. cj, 64(7):991-992, 2021. [doi]

Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networksXiaofeng Zhu 0001, Hongming Li, Heng Tao Shen, Zheng Zhang 0006, Yanli Ji, Yong Fan 0001. inffus, 75:131-139, 2021. [doi]

Adaptive reverse graph learning for robust subspace learningChang-an Yuan 0001, Zhi Zhong, Cong Lei, Xiaofeng Zhu 0001, Rongyao Hu. ipm, 58(6):102733, 2021. [doi]

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scanXiaofeng Zhu 0001, Bin Song, Feng Shi 0001, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen. mia, 67:101824, 2021. [doi]

Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image RetrievalZheng Zhang 0006, Xiaofeng Zhu 0001, Guangming Lu, Yudong Zhang. tkdd, 15(3), 2021. [doi]

Brain functional connectivity analysis based on multi-graph fusionJiangzhang Gan, Zi-wen Peng, Xiaofeng Zhu 0001, Rongyao Hu, Junbo Ma, Guorong Wu 0001. mia, 71:102057, 2021. [doi]

Multi-scale Graph Fusion for Co-saliency DetectionRongyao Hu, Zhenyun Deng, Xiaofeng Zhu 0001. AAAI 2021: 7789-7796 [doi]

Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker IdentificationRongyao Hu, Zi-wen Peng, Xiaofeng Zhu 0001, Jiangzhang Gan, Yonghua Zhu, Junbo Ma, Guorong Wu 0001. tmi, 40(12):3843-3855, 2021. [doi]

Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete DataHeng Tao Shen, Yonghua Zhu, Wei Zheng, Xiaofeng Zhu 0001. tnn, 32(7):3122-3135, 2021. [doi]

Heterogeneous data fusion for predicting mild cognitive impairment conversionHeng Tao Shen, Xiaofeng Zhu 0001, Zheng Zhang 0006, Shui-Hua Wang, Yi Chen, Xing Xu 0001, Jie Shao. inffus, 66:54-63, 2021. [doi]

Vision-guided Music Source Separation via a Fine-grained Cycle-Separation NetworkMa Shuo, Yanli Ji, Xing Xu 0001, Xiaofeng Zhu 0001. mm 2021: 4202-4210 [doi]

Joint hub identification for brain networks by multivariate graph inferenceDefu Yang, Xiaofeng Zhu 0001, Chenggang Yan, Zi-wen Peng, Maria Bagonis, Paul J. Laurienti, Martin Styner, Guorong Wu 0001. mia, 73:102162, 2021. [doi]

Video Representation Learning with Graph Contrastive AugmentationJingran Zhang, Xing Xu 0001, Fumin Shen, Yazhou Yao, Jie Shao, Xiaofeng Zhu 0001. mm 2021: 3043-3051 [doi]

Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging dataYingying Zhu, Minjeong Kim, Xiaofeng Zhu 0001, Daniel Kaufer, Guorong Wu 0001. mia, 67:101825, 2021. [doi]

2020

Spectral rotation for deep one-step clusteringXiaofeng Zhu 0001, Yonghua Zhu, Wei Zheng. PR, 105:107175, 2020. [doi]

Spectral clustering via half-quadratic optimizationXiaofeng Zhu 0001, Jiangzhang Gan, Guangquan Lu, Jiaye Li, Shichao Zhang. www, 23(3):1969-1988, 2020. [doi]

Deep understanding of big multimedia dataXiaofeng Zhu 0001, Chong-Yaw Wee, Minjeong Kim. nca, 32(11):6417-6419, 2020. [doi]

Privacy-preserving representation learning for big dataXiaofeng Zhu 0001, Shuo Shang, Minjeong Kim. ijon, 406:293-294, 2020. [doi]

Self-weighted Multi-view Fuzzy ClusteringXiaofeng Zhu 0001, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang 0002. tkdd, 14(4), 2020. [doi]

Sparse Graph Connectivity for Image SegmentationXiaofeng Zhu 0001, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, Yang Yang 0002. tkdd, 14(4), 2020. [doi]

Adversarial Learning-Based Semantic Correlation Representation for Cross-Modal RetrievalLei Zhu 0005, Jiayu Song, Xiaofeng Zhu 0001, Chengyuan Zhang, Shichao Zhang, Xinpan Yuan, Yang Wang 0023. ieeemm, 27(4):79-90, 2020. [doi]

Multi-graph Fusion for Functional Neuroimaging Biomarker DetectionJiangzhang Gan, Xiaofeng Zhu 0001, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-wen Peng, Guorong Wu 0001. IJCAI 2020: 580-586 [doi]

Robust SVM with adaptive graph learningRongyao Hu, Xiaofeng Zhu 0001, Yonghua Zhu, Jiangzhang Gan. www, 23(3):1945-1968, 2020. [doi]

Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease AnalysisJunbo Ma, Xiaofeng Zhu 0001, Defu Yang, Jiazhou Chen, Guorong Wu 0001. miccai 2020: 387-396 [doi]

Deep understanding of big multimedia dataRuili Wang, Jian Weng, Xiaofeng Zhu 0001. ijon, 391:189-190, 2020. [doi]

Graph-based variational auto-encoder for generalized zero-shot learningJiwei Wei, Yang Yang, Xing Xu, Yanli Ji, Xiaofeng Zhu 0001, Heng Tao Shen. mmasia 2021: [doi]

Unsupervised feature selection by self-paced learning regularizationWei Zheng, Xiaofeng Zhu 0001, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan. prl, 132:4-11, 2020. [doi]

2011

UQMSG Experiments for TRECVID 2011Heng Tao Shen, Jie Shao, Zi Huang, Yang Yang 0002, Jingkuan Song, Jiajun Liu, Xiaofeng Zhu 0001. trecvid 2011: [doi]

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