Xiaofeng Zhu

289 papers A* 62A 2B 5C 4Journal 173Unranked 40
YearRankTypeTitle / 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 A* conf
Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition.
AAAI
Wenjue He, Xiaofeng Zhu, Zheng Zhang
2026 J jnl
Decoupled prompt learning guided by chain-of-task.
Inf. Fusion
Zongqian Wu, Mengmeng Zhan, Ping Hu, Zhengxia Wang, Xiaofeng Zhu
2026 J jnl
Dual transferable knowledge interaction for source-free domain adaptation.
Inf. Process. Manag.
Mengmeng Zhan, Zongqian Wu, Jiaying Yang, Lin Peng, Jialie Shen, Xiaofeng Zhu
2026 J jnl
EGDCF: Edge-Guided Diffusion Networks with Coarse-to-Fine Learning for Image Denoising.
Neural Process. Lett.
Long Chen, Jianhui Jiang, Changan Yuan, Ye He, Xiaofeng Zhu, Jinhui Wan
2026 J jnl
Enhancing Few-Shot Out-of-Distribution Detection via the Refinement of Foreground and Background.
CoRR
Tianyu Li, Songyue Cai, Zongqian Wu, Ping Hu, Xiaofeng Zhu
2026 J jnl
Generalized prompt-driven zero-shot domain adaptive segmentation with feature rectification and semantic modulation.
Comput. Vis. Image Underst.
Jinyi Li, Longyu Yang, Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Xiaofeng Zhu, Ping Hu
2026 A* conf
Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis.
AAAI
Shangbo Yuan, Jie Xu, Ping Hu, Xiaofeng Zhu, Na Zhao
2026 J jnl
Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis.
CoRR
Shangbo Yuan, Jie Xu, Ping Hu, Xiaofeng Zhu, Na Zhao
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
2026 A* conf
Meta-GAIN for Missing Data Imputation.
AAAI
Tao Tong, Xiaofeng Zhu, Jiangzhang Gan
2026 J jnl
PASB: Pathology-aware Schrödinger bridge for virtual immunohistochemical staining.
Medical Image Anal.
Fanhao Qiu, Yangyang Zhang, Zhen-Li Huang, Xiaofeng Zhu, Zhengxia Wang
2025 J jnl
A pseudo-labeling approach based on knowledge distillation for graph few-shot learning.
Inf. Process. Manag.
Zongqian Wu, Peng Zhou, Guoqiu Wen, Xiaofeng Zhu
2025 J jnl
Adaptive node-level weighted learning for directed graph neural network.
Neural Networks
Jincheng Huang, 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
Cascade-UDA: A Cascade paradigm for unsupervised domain adaptation.
Neurocomputing
Mengmeng Zhan, Zongqian Wu, Huafu Xu, Xiaofeng Zhu, Rongyao Hu
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
Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition.
CoRR
Wenjue He, Xiaofeng Zhu, Zheng Zhang
2025 J jnl
Dual Consistency Constraint-Based Self-Supervised Representation Learning for Heterogeneous Graphs With Missing Attributes.
IEEE Trans. Neural Networks Learn. Syst.
Yajie Lei, Yujie Mo, Luping Ji, Xiaofeng Zhu
2025 J jnl
Dual-Correlation-Guided Anchor Learning for Scalable Incomplete Multi-View Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Wenjue He, Zheng Zhang, Xiaofeng Zhu
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 J jnl
Efficient self-supervised heterogeneous graph representation learning with reconstruction.
Inf. Fusion
Yujie Mo, Heng Tao Shen, 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 the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy.
IEEE Trans. Neural Networks Learn. Syst.
Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Xiaofeng Zhu, Qing Li
2025 J jnl
Global-Graph Guided and Local-Graph Weighted Contrastive Learning for Unified Clustering on Incomplete and Noise Multi-View Data.
CoRR
Hongqing He, Jie Xu, Wenyuan Yang, Yonghua Zhu, Guoqiu Wen, Xiaofeng Zhu
2025 A* conf
Graph Embedded Contrastive Learning for Multi-View Clustering.
IJCAI
Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu
2025 A* conf
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters.
ICLR
Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
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 J jnl
Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs.
CoRR
Zongqian Wu, Tianyu Li, Baoduo Xu, Jiaying Yang, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
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
MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP.
IJCAI
Songyue Cai, Yujie Mo, Liang Peng, Yucheng Xie, Tao Tong, Xiaofeng Zhu
2025 A* conf
Meta Label Correction with Generalization Regularizer.
IJCAI
Tao Tong, Yujie Mo, Yucheng Xie, Songyue Cai, Xiaoshuang Shi, Xiaofeng Zhu
2025 J jnl
Missing Pattern Tree based Decision Grouping and Ensemble for Deep Incomplete Multi-View Clustering.
CoRR
Wenyuan Yang, Jie Xu, Hongqing He, Jiangzhang Gan, Xiaofeng Zhu
2025 J jnl
Mitigating Strategy-Selection Bias in Reasoning for More Effective Test-Time Scaling.
CoRR
Zongqian Wu, Baoduo Xu, Tianyu Li, Zhu Sun, Xiaofeng Zhu, Lei Feng
2025 J jnl
Multi-View Few-Shot Reasoning for Emerging Entities in Knowledge Graphs.
IEEE Trans. Big Data
Cheng Yan, Feng Zhao, Xiaohui Tao, Xiaofeng Zhu
2025 J jnl
Multi-View Riemannian Manifolds Fusion Enhancement for Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng.
Linyu Li, Zhi Jin, Xuan Zhang, Haoran Duan, Jishu Wang, Zhengwei Tao, Haiyan Zhao, Xiaofeng Zhu
2025 A* conf
Multiplex Graph Representation Learning with Homophily and Consistency.
AAAI
Yudi Huang, Ci Nie, Hongqing He, Yujie Mo, Yonghua Zhu, Guoqiu Wen, Xiaofeng Zhu
2025 A* conf
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation.
AAAI
Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Yonghua Zhu, Xiaofeng Zhu
2025 J jnl
On Efficient Variants of Segment Anything Model: A Survey.
Int. J. Comput. Vis.
Xiaorui Sun, Jun Liu, Hengtao Shen, Xiaofeng Zhu, Ping Hu
2025 A* conf
Rethinking Chain-of-Thought from the Perspective of Self-Training.
ICML
Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
2025 J jnl
Rethinking Range-View LiDAR Segmentation in Adverse Weather.
CoRR
Longyu Yang, Ping Hu, Lu Zhang, Jun Liu, Yap-Peng Tan, Heng Tao Shen, Xiaofeng Zhu
2025 J jnl
Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation.
CoRR
Jie Xu, Na Zhao, Gang Niu, Masashi Sugiyama, 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 A* conf
Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning.
IJCAI
Yucheng Xie, Songyue Cai, Tao Tong, Ping Hu, Xiaofeng Zhu
2025 J jnl
Self-Guided Graph Refinement With Progressive Fusion for Multiplex Graph Contrastive Representation Learning.
IEEE Trans. Big Data
Qi Dai, Yu Gu, Xiaofeng Zhu, Xiaohua Li, Fangfang Li, Ge Yu
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 A* conf
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather.
CVPR
Longyu Yang, Ping Hu, Shangbo Yuan, Lu Zhang, Jun Liu, Hengtao Shen, Xiaofeng Zhu
2025 J jnl
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather.
CoRR
Longyu Yang, Ping Hu, Shangbo Yuan, Lu Zhang, Jun Liu, Hengtao Shen, 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
Unsupervised multi-view graph representation learning with dual weight-net.
Inf. Fusion
Yujie Mo, Heng Tao Shen, Xiaofeng Zhu
2025 J jnl
Unsupervised multiplex graph representation learning via maximizing coding rate reduction.
Pattern Recognit.
Xin Wang, Liang Peng, Rongyao Hu, Ping Hu, Xiaofeng Zhu
2024 J jnl
A noise-resistant graph neural network by semi-supervised contrastive learning.
Inf. Sci.
Zhengyu Lu, Junbo Ma, Zongqian Wu, Bo Zhou, Xiaofeng Zhu
2024 J jnl
A novel federated multi-view clustering method for unaligned and incomplete data fusion.
Inf. Fusion
Yazhou Ren, Xinyue Chen, Jie Xu, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
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
Adaptive Multi-Modality Prompt Learning.
ACM Multimedia
Zongqian Wu, Yujing Liu, Mengmeng Zhan, Ping Hu, Xiaofeng Zhu
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
FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li
2024 A conf
GATrack: Group-Aware features for multiple object tracking.
ICME
Xiaolong Wang, Ping Hu, Rongyao Hu, 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
Graph augmentation for node-level few-shot learning.
Knowl. Based Syst.
Zongqian Wu, Peng Zhou, Junbo Ma, Jilian Zhang, Guoqin Yuan, Xiaofeng Zhu
2024 J jnl
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters.
CoRR
Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
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 A* conf
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios.
CVPR
Jie Xu, Yazhou Ren, Xiaolong Wang, Lei Feng, Zheng Zhang, Gang Niu, 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 J jnl
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning.
Medical Image Anal.
Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, Xiaoxiao Li
2024 J jnl
Multigraph Fusion for Dynamic Graph Convolutional Network.
IEEE Trans. Neural Networks Learn. Syst.
Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu
2024 A* conf
Multiplex Graph Representation Learning via Bi-level Optimization.
IJCAI
Yudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen, Xiaofeng Zhu
2024 J jnl
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation.
CoRR
Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Ping Hu, Xiaofeng Zhu
2024 J jnl
On Efficient Variants of Segment Anything Model: A Survey.
CoRR
Xiaorui Sun, Jun Liu, Heng Tao Shen, Xiaofeng Zhu, Ping Hu
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
Rethinking Chain-of-Thought from the Perspective of Self-Training.
CoRR
Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
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 A* conf
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective.
NeurIPS
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2024 J jnl
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective.
CoRR
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2024 J jnl
SV-Learner: Support-Vector Contrastive Learning for Robust Learning With Noisy Labels.
IEEE Trans. Knowl. Data Eng.
Xin Liang, Yanli Ji, Wei-Shi Zheng, Wangmeng Zuo, Xiaofeng Zhu
2024 A* conf
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View.
ICLR
Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu
2024 A* conf
Self-Training Based Few-Shot Node Classification by Knowledge Distillation.
AAAI
Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu
2024 A* conf
Simple Contrastive Multi-View Clustering with Data-Level Fusion.
IJCAI
Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu
2024 A* conf
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation.
IJCAI
Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu
2023 A* conf
A Universal Unbiased Method for Classification from Aggregate Observations.
ICML
Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen
2023 J jnl
A Universal Unbiased Method for Classification from Aggregate Observations.
CoRR
Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen
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
Adaptive Multi-Modality Prompt Learning.
CoRR
Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, 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 — conf
Co-assistant Networks for Label Correction.
MICCAI (3)
Xuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu
2023 J jnl
Contrastive structure and texture fusion for image inpainting.
Neurocomputing
Long Chen, Chang-An Yuan, Xiao Qin, Wei Sun, 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 A* conf
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering.
AAAI
Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He
2023 J jnl
Dynamic graph convolutional networks by semi-supervised contrastive learning.
Pattern Recognit.
Guolin Zhang, Zehui Hu, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu
2023 J jnl
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy.
CoRR
Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Xiaofeng Zhu, Qing Li
2023 J jnl
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning.
CoRR
Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li
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
FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction.
IEEE Trans. Medical Imaging
Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li
2023 A* conf
Federated Deep Multi-View Clustering with Global Self-Supervision.
ACM Multimedia
Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
2023 J jnl
Federated Deep Multi-View Clustering with Global Self-Supervision.
CoRR
Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
2023 J jnl
GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis.
IEEE Trans. Medical Imaging
Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li
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
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning.
CoRR
Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, Xiaoxiao Li
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 A* conf
Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels.
ACM Multimedia
Yujing Liu, Zongqian Wu, Zhengyu Lu, Guoqiu Wen, Junbo Ma, Guangquan Lu, 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 J jnl
On the Imaginary Wings: Text-Assisted Complex-Valued Fusion Network for Fine-Grained Visual Classification.
IEEE Trans. Neural Networks Learn. Syst.
Xiang Guan, Yang Yang, Jingjing Li, Xiaofeng Zhu, Jingkuan Song, Heng Tao Shen
2023 J jnl
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition.
CoRR
Zhenqian Wu, Xiaoyuan Li, Yazhou Ren, Xiaorong Pu, Xiaofeng Zhu, Lifang He
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 principal component analysis.
Pattern Recognit.
Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian
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
TFUN: Trilinear Fusion Network for Ternary Image-Text Retrieval.
Inf. Fusion
Xing Xu, Jialiang Sun, Zuo Cao, Yin Zhang, Xiaofeng Zhu, Heng Tao Shen
2023 A* conf
Totally Dynamic Hypergraph Neural Networks.
IJCAI
Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, 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
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information.
CoRR
Liang Peng, Xin Wang, Xiaofeng Zhu
2023 A* conf
Unsupervised Multiplex Graph learning with Complementary and Consistent Information.
ACM Multimedia
Liang Peng, Xin Wang, 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
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 J jnl
Flow-Edge Guided Unsupervised Video Object Segmentation.
IEEE Trans. Circuits Syst. Video Technol.
Yifeng Zhou, Xing Xu, Fumin Shen, Xiaofeng Zhu, Heng Tao Shen
2022 J jnl
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis.
CoRR
Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li
2022 A* conf
Information Augmentation for Few-shot Node Classification.
IJCAI
Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu
2022 J jnl
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis.
Inf. Fusion
Yonghua Zhu, Junbo Ma, Changan Yuan, Xiaofeng Zhu
2022 A* conf
Multi-level Feature Learning for Contrastive Multi-view Clustering.
CVPR
Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He
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 A* conf
Multi-view Unsupervised Graph Representation Learning.
IJCAI
Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu
2022 J jnl
Robust self-tuning multi-view clustering.
World Wide Web
Chang-An Yuan, Yonghua Zhu, Zhi Zhong, Wei Zheng, Xiaofeng Zhu
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
2022 J jnl
Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview.
IEEE Trans. Cybern.
Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu
2022 J jnl
Universal Weighting Metric Learning for Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiwei Wei, Yang Yang, Xing Xu, Xiaofeng Zhu, Heng Tao Shen
2022 J jnl
Universal adversarial perturbations generative network.
World Wide Web
Zheng Wang, Yang Yang, Jingjing Li, Xiaofeng Zhu
2022 J jnl
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, Yue Gao
2022 J jnl
View-Invariant Human Action Recognition Via View Transformation Network (VTN).
IEEE Trans. Multim.
Lingling Gao, Yanli Ji, Kumie Gedamu, Xiaofeng Zhu, Xing Xu, Heng Tao Shen
2021 J jnl
Adaptive reverse graph learning for robust subspace learning.
Inf. Process. Manag.
Chang-An Yuan, Zhi Zhong, Cong Lei, Xiaofeng Zhu, Rongyao Hu
2021 J jnl
Brain functional connectivity analysis based on multi-graph fusion.
Medical Image Anal.
Jiangzhang Gan, Zi-Wen Peng, Xiaofeng Zhu, Rongyao Hu, Junbo Ma, Guorong Wu
2021 J jnl
Contrastive Multi-Modal Clustering.
CoRR
Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He
2021 J jnl
Efficient Utilization of Missing Data in Cost-Sensitive Learning.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Jianye Yang, Chengyuan Zhang, Shichao Zhang
2021 J jnl
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction.
CoRR
Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li
2021 J jnl
Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks.
Inf. Fusion
Xiaofeng Zhu, Hongming Li, Heng Tao Shen, Zheng Zhang, Yanli Ji, Yong Fan
2021 J jnl
HCMSL: Hybrid Cross-modal Similarity Learning for Cross-modal Retrieval.
ACM Trans. Multim. Comput. Commun. Appl.
Chengyuan Zhang, Jiayu Song, Xiaofeng Zhu, Lei Zhu, Shichao Zhang
2021 J jnl
Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data.
IEEE Trans. Neural Networks Learn. Syst.
Heng Tao Shen, Yonghua Zhu, Wei Zheng, Xiaofeng Zhu
2021 J jnl
Heterogeneous data fusion for predicting mild cognitive impairment conversion.
Inf. Fusion
Heng Tao Shen, Xiaofeng Zhu, Zheng Zhang, Shui-Hua Wang, Yi Chen, Xing Xu, Jie Shao
2021 J jnl
Joint hub identification for brain networks by multivariate graph inference.
Medical Image Anal.
Defu Yang, Xiaofeng Zhu, Chenggang Yan, Zi-Wen Peng, Maria Bagonis, Paul J. Laurienti, Martin Styner, Guorong Wu
2021 J jnl
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan.
Medical Image Anal.
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
2021 J jnl
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data.
Medical Image Anal.
Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Daniel Kaufer, Guorong Wu
2021 J jnl
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification.
IEEE Trans. Medical Imaging
Rongyao Hu, Zi-Wen Peng, Xiaofeng Zhu, Jiangzhang Gan, Yonghua Zhu, Junbo Ma, Guorong Wu
2021 A* conf
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering.
ICCV
Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He
2021 A* conf
Multi-scale Graph Fusion for Co-saliency Detection.
AAAI
Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu
2021 J jnl
Privacy-preserving Multimedia Data Analysis.
Comput. J.
Xiaofeng Zhu, Kim-Han Thung, Minjeong Kim
2021 J jnl
Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image Retrieval.
ACM Trans. Knowl. Discov. Data
Zheng Zhang, Xiaofeng Zhu, Guangming Lu, Yudong Zhang
2021 J jnl
Self-paced Principal Component Analysis.
CoRR
Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian
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
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view.
CoRR
Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu
2021 A* conf
Video Representation Learning with Graph Contrastive Augmentation.
ACM Multimedia
Jingran Zhang, Xing Xu, Fumin Shen, Yazhou Yao, Jie Shao, Xiaofeng Zhu
2021 A* conf
Vision-guided Music Source Separation via a Fine-grained Cycle-Separation Network.
ACM Multimedia
Shuo Ma, Yanli Ji, Xing Xu, Xiaofeng Zhu
2020 J jnl
Adversarial Learning-Based Semantic Correlation Representation for Cross-Modal Retrieval.
IEEE Multim.
Lei Zhu, Jiayu Song, Xiaofeng Zhu, Chengyuan Zhang, Shichao Zhang, Xinpan Yuan, Yang Wang
2020 — conf
Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis.
MICCAI (7)
Junbo Ma, Xiaofeng Zhu, Defu Yang, Jiazhou Chen, Guorong Wu
2020 J jnl
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities.
Neurocomputing
Liangliang Liu, Shaowu Chen, Xiaofeng Zhu, Xing-Ming Zhao, Fang-Xiang Wu, Jianxin Wang
2020 J jnl
Deep understanding of big multimedia data.
Neurocomputing
Ruili Wang, Jian Weng, Xiaofeng Zhu
2020 J jnl
Deep understanding of big multimedia data.
Neural Comput. Appl.
Xiaofeng Zhu, Chong-Yaw Wee, Minjeong Kim
2020 — conf
Graph-based variational auto-encoder for generalized zero-shot learning.
MMAsia
Jiwei Wei, Yang Yang, Xing Xu, Yanli Ji, Xiaofeng Zhu, Heng Tao Shen
2020 J jnl
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan.
CoRR
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
2020 A* conf
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection.
IJCAI
Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu
2020 — conf
Multi-level expression guided attention network for referring expression comprehension.
MMAsia
Liang Peng, Yang Yang, Xing Xu, Jingjing Li, Xiaofeng Zhu
2020 J jnl
Privacy-preserving representation learning for big data.
Neurocomputing
Xiaofeng Zhu, Shuo Shang, Minjeong Kim
2020 J jnl
Robust SVM with adaptive graph learning.
World Wide Web
Rongyao Hu, Xiaofeng Zhu, Yonghua Zhu, Jiangzhang Gan
2020 J jnl
Self-weighted Multi-view Fuzzy Clustering.
ACM Trans. Knowl. Discov. Data
Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang
2020 J jnl
Sparse Graph Connectivity for Image Segmentation.
ACM Trans. Knowl. Discov. Data
Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, Yang Yang
2020 J jnl
Spectral clustering via half-quadratic optimization.
World Wide Web
Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, Shichao Zhang
2020 J jnl
Spectral rotation for deep one-step clustering.
Pattern Recognit.
Xiaofeng Zhu, Yonghua Zhu, Wei Zheng
2020 J jnl
Unsupervised feature selection by self-paced learning regularization.
Pattern Recognit. Lett.
Wei Zheng, Xiaofeng Zhu, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan
2019 J jnl
Connected graph decomposition for spectral clustering.
Multim. Tools Appl.
Tao Tong, Xiaofeng Zhu, Tingting Du
2019 — conf
Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network.
MICCAI (3)
Minjeong Kim, Xiaofeng Zhu, Zi-Wen Peng, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu
2019 J jnl
Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases.
IEEE Trans. Medical Imaging
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Daniel Kaufer, Guorong Wu
2019 J jnl
Group sparse reduced rank regression for neuroimaging genetic study.
World Wide Web
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2019 J jnl
High dynamic range image forensics using cnn.
CoRR
Yongqing Huo, Xiaofeng Zhu
2019 J jnl
Initialization-similarity clustering algorithm.
Multim. Tools Appl.
Tong Liu, Jingting Zhu, Jukai Zhou, Yongxin Zhu, Xiaofeng Zhu
2019 — conf
Joint Identification of Network Hub Nodes by Multivariate Graph Inference.
MICCAI (3)
Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu, Md Asadullah Turja, Leo Charles Peek Zsembik, Martin Styner, Guorong Wu
2019 J jnl
Low-Rank Sparse Subspace for Spectral Clustering.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Yonggang Li, Jilian Zhang, Lifeng Yang, Yue Fang
2019 J jnl
Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification.
World Wide Web
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2019 J jnl
Low-rank hypergraph feature selection for multi-output regression.
World Wide Web
Xiaofeng Zhu, Rongyao Hu, Cong Lei, Kim-Han Thung, Wei Zheng, Can Wang
2019 J jnl
One-Step Multi-View Spectral Clustering.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu
2019 A* conf
Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information.
IJCAI
Xiaofeng Zhu
2019 — conf
Robust and Discriminative Brain Genome Association Study.
MICCAI (4)
Xiaofeng Zhu, Dinggang Shen
2019 J jnl
Strength and similarity guided group-level brain functional network construction for MCI diagnosis.
Pattern Recognit.
Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Seong-Whan Lee, Dinggang Shen
2019 J jnl
Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis.
Pattern Recognit.
Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen
2019 — ed.
Web and Big Data - APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1-3, 2019, Revised Selected Papers
APWeb/WAIM Workshops
Jingkuan Song, Xiaofeng Zhu
2018 J jnl
A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis.
Neuroinformatics
Xiaofeng Zhu, Weihong Zhang, Yong Fan
2018 J jnl
Dynamic graph learning for spectral feature selection.
Multim. Tools Appl.
Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Rongyao Hu, Cong Lei
2018 J jnl
Editorial: Deep Mining Big Social Data.
World Wide Web
Xiaofeng Zhu, Gerard Sanroma, Jilian Zhang, Brent C. Munsell
2018 J jnl
Efficient kNN Classification With Different Numbers of Nearest Neighbors.
IEEE Trans. Neural Networks Learn. Syst.
Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Ruili Wang
2018 J jnl
Global and local clustering with kNN and local PCA.
Multim. Tools Appl.
Lin Wu, Xiaofeng Zhu, Tao Tong
2018 — conf
Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization.
MICCAI (3)
Hongming Li, Xiaofeng Zhu, Yong Fan
2018 J jnl
Identification of multi-scale hierarchical brain functional networks using deep matrix factorization.
CoRR
Hongming Li, Xiaofeng Zhu, Yong Fan
2018 J jnl
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Yonghua Zhu, Jingkuan Song
2018 — ch.
Multimedia Tagging.
Encyclopedia of Database Systems (2nd ed.)
Xiaofeng Zhu
2018 A* conf
Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity.
AAAI
Xiaofeng Zhu, Hongming Li, Yong Fan
2018 J jnl
Pattern discovery from multi-source data.
Pattern Recognit. Lett.
Xiaofeng Zhu, Jie Shao, Jilian Zhang
2018 J jnl
Quantization-based hashing: a general framework for scalable image and video retrieval.
Pattern Recognit.
Jingkuan Song, Lianli Gao, Li Liu, Xiaofeng Zhu, Nicu Sebe
2018 A* conf
Robust Feature Selection on Incomplete Data.
IJCAI
Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang
2018 A* conf
Robust Graph Dimensionality Reduction.
IJCAI
Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang
2018 A* conf
Robust Multi-view Learning via Half-quadratic Minimization.
IJCAI
Yonghua Zhu, Xiaofeng Zhu, Wei Zheng
2018 J jnl
Unsupervised feature selection via local structure learning and sparse learning.
Multim. Tools Appl.
Cong Lei, Xiaofeng Zhu
2017 — conf
A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases.
IPMI
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Daniel Kaufer, Guorong Wu
2017 — conf
A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity.
IPMI
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu
2017 J jnl
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis.
Medical Image Anal.
Xiaofeng Zhu, Heung-Il Suk, Li Wang, Seong-Whan Lee, Dinggang Shen
2017 — conf
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network.
Patch-MI@MICCAI
Qian Wang, Shaoyu Wang, Xiaofeng Zhu, Tianyi Liu, Zachary Humphrey, Vladimir Ghukasyan, Mike Conway, Erik Scott, Giulia Fragola, Kira Bradford, Mark J. Zylka, Ashok K. Krishnamurthy, Jason L. Stein, Guorong Wu
2017 A* conf
Adaptive Hypergraph Learning for Unsupervised Feature Selection.
IJCAI
Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He
2017 J jnl
Editorial learning for multimodal data.
Neurocomputing
Xiaofeng Zhu, Xudong Luo, Chen Xu
2017 — conf
Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis.
MLMI@MICCAI
Tao Zhou, Kim-Han Thung, Xiaofeng Zhu, Dinggang Shen
2017 J jnl
Graph PCA Hashing for Similarity Search.
IEEE Trans. Multim.
Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Zongben Xu, Litao Yu, Can Wang
2017 J jnl
Graph self-representation method for unsupervised feature selection.
Neurocomputing
Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang
2017 — conf
Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis.
MLMI@MICCAI
Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen
2017 J jnl
Learning
ACM Trans. Intell. Syst. Technol.
Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng
2017 J jnl
Learning high-dimensional multimedia data.
Multim. Syst.
Xiaofeng Zhu, Zhi Jin, Rongrong Ji
2017 J jnl
Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers.
IEEE Trans. Big Data
Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen
2017 J jnl
Low-rank unsupervised graph feature selection via feature self-representation.
Multim. Tools Appl.
Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
2017 — conf
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data.
MICCAI (3)
Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, Dinggang Shen
2017 J jnl
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.
Medical Image Anal.
Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu
2017 A* conf
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.
AAAI
Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu
2017 — conf
Personalized Diagnosis for Alzheimer's Disease.
MICCAI (3)
Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer, Guorong Wu
2017 J jnl
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Chunhua Ju, Xindong Wu
2017 J jnl
Unsupervised feature selection for visual classification via feature-representation property.
Neurocomputing
Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
2016 J jnl
Block-Row Sparse Multiview Multilabel Learning for Image Classification.
IEEE Trans. Cybern.
Xiaofeng Zhu, Xuelong Li, Shichao Zhang
2016 — conf
Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine.
MICCAI (1)
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu
2016 — conf
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis.
MLMI@MICCAI
Xiaofeng Zhu, Kim-Han Thung, Jun Zhang, Dinggang Shen
2016 J jnl
Hybrid swarm intelligent parallel algorithm research based on multi-core clusters.
Microprocess. Microsystems
Wenjing Li, Yingzhou Bi, Xiaofeng Zhu, Chang-An Yuan, Xiang-bo Zhang
2016 — conf
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.
MLMI@MICCAI
Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen
2016 J jnl
Learning for medical imaging.
Neurocomputing
Xiaofeng Zhu, Feng Lu, Chen Xu, Rongrong Ji
2016 C conf
Low-Rank Feature Reduction and Sample Selection for Multi-output Regression.
ADMA
Shichao Zhang, Lifeng Yang, Yonggang Li, Yan Luo, Xiaofeng Zhu
2016 — conf
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.
MICCAI (1)
Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu
2016 — conf
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification.
MICCAI (1)
Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu
2016 — conf
Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis.
MICCAI (2)
Jailin Peng, Le An, Xiaofeng Zhu, Yan Jin, Dinggang Shen
2016 — conf
Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations.
MICCAI (1)
Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen
2016 J jnl
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification.
IEEE Trans. Biomed. Eng.
Xiaofeng Zhu, Heung-Il Suk, Seong-Whan Lee, Dinggang Shen
2016 C conf
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.
ADMA
Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang
2016 C conf
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.
ADMA
Wei He, Xiaofeng Zhu, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang
2015 J jnl
Corrections to "Exploiting Web Images for Semantic Video Indexing Via Robust Sample-Specific Loss".
IEEE Trans. Multim.
Yang Yang, Zheng-Jun Zha, Yue Gao, Xiaofeng Zhu, Tat-Seng Chua
2015 — conf
Discriminative Dimensionality Reduction for Patch-Based Label Fusion.
MLMMI@ICML
Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Guorong Wu, Xiaofeng Zhu, Dinggang Shen, Miguel Ángel González Ballester
2015 — conf
Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image.
Patch-MI@MICCAI
Guorong Wu, Xiaofeng Zhu, Qian Wang, Dinggang Shen
2015 — conf
Multi-view Classification for Identification of Alzheimer's Disease.
MLMI
Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen
2015 J jnl
Multi-view multi-sparsity kernel reconstruction for multi-class image classification.
Neurocomputing
Xiaofeng Zhu, Qing Xie, Yonghua Zhu, Xingyi Liu, Shichao Zhang
2015 B conf
Zero-shot Image Categorization by Image Correlation Exploration.
ICMR
Lianli Gao, Jingkuan Song, Junming Shao, Xiaofeng Zhu, Heng Tao Shen
2014 — conf
A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis.
MICCAI (3)
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2014 J jnl
A Sparse Embedding and Least Variance Encoding Approach to Hashing.
IEEE Trans. Image Process.
Xiaofeng Zhu, Lei Zhang, Zi Huang
2014 J jnl
A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis.
NeuroImage
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2014 J jnl
Exploiting Web Images for Semantic Video Indexing Via Robust Sample-Specific Loss.
IEEE Trans. Multim.
Yang Yang, Zheng-Jun Zha, Yue Gao, Xiaofeng Zhu, Tat-Seng Chua
2014 A* conf
Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis.
CVPR
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2014 — conf
Multi-Output Regression with Tag Correlation Analysis for Effective Image Tagging.
DASFAA (2)
Hongyun Cai, Zi Huang, Xiaofeng Zhu, Qing Zhang, Xuefei Li
2014 — conf
Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis.
MICCAI (2)
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2014 — conf
Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification.
MLMI
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2013 A conf
Feature Selection by Joint Graph Sparse Coding.
SDM
Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu
2013 — —
Graph sparse learning in multimedia data
Xiaofeng Zhu
2013 A* conf
Linear cross-modal hashing for efficient multimedia search.
ACM Multimedia
Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
2013 — conf
Mining Item Popularity for Recommender Systems.
ADMA (2)
Jilian Zhang, Xiaofeng Zhu, Xianxian Li, Shichao Zhang
2013 — conf
Mixed-Norm Regression for Visual Classification.
ADMA (1)
Xiaofeng Zhu, Jilian Zhang, Shichao Zhang
2013 — conf
Multi-View Visual Classification via a Mixed-Norm Regularizer.
PAKDD (1)
Xiaofeng Zhu, Zi Huang, Xindong Wu
2013 A* conf
Online human gesture recognition from motion data streams.
ACM Multimedia
Xin Zhao, Xue Li, Chaoyi Pang, Xiaofeng Zhu, Quan Z. Sheng
2013 J jnl
Self-taught dimensionality reduction on the high-dimensional small-sized data.
Pattern Recognit.
Xiaofeng Zhu, Zi Huang, Yang Yang, Heng Tao Shen, Changsheng Xu, Jiebo Luo
2013 J jnl
Sparse hashing for fast multimedia search.
ACM Trans. Inf. Syst.
Xiaofeng Zhu, Zi Huang, Hong Cheng, Jiangtao Cui, Heng Tao Shen
2013 J jnl
Video-to-Shot Tag Propagation by Graph Sparse Group Lasso.
IEEE Trans. Multim.
Xiaofeng Zhu, Zi Huang, Jiangtao Cui, Heng Tao Shen
2012 J jnl
Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis.
Pattern Recognit.
Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Jian Cheng, Changsheng Xu
2011 J jnl
Missing Value Estimation for Mixed-Attribute Data Sets.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Zhi Jin, Zili Zhang, Zhuoming Xu
2011 J jnl
Missing data imputation by utilizing information within incomplete instances.
J. Syst. Softw.
Shichao Zhang, Zhi Jin, Xiaofeng Zhu
2011 — conf
UQMSG Experiments for TRECVID 2011.
TRECVID
Heng Tao Shen, Jie Shao, Zi Huang, Yang Yang, Jingkuan Song, Jiajun Liu, Xiaofeng Zhu
2011 A* conf
Video-to-shot tag allocation by weighted sparse group lasso.
ACM Multimedia
Xiaofeng Zhu, Zi Huang, Heng Tao Shen
2009 J jnl
Estimating confidence intervals for structural differences between contrast groups with missing data.
Expert Syst. Appl.
Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2009 J jnl
Missing Data Analysis: A Kernel-Based Multi-Imputation Approach.
Trans. Comput. Sci.
Shichao Zhang, Zhi Jin, Xiaofeng Zhu, Jilian Zhang
2009 J jnl
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases.
Expert Syst. Appl.
Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2008 J jnl
Mining follow-up correlation patterns from time-related databases.
Knowl. Inf. Syst.
Shichao Zhang, Zifang Huang, Jilian Zhang, Xiaofeng Zhu
2008 J jnl
Missing Value Imputation Based on Data Clustering.
Trans. Comput. Sci.
Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang
2008 B conf
NIIA: Nonparametric Iterative Imputation Algorithm.
PRICAI
Shichao Zhang, Zhi Jin, Xiaofeng Zhu
2007 A* conf
Cost-Sensitive Imputing Missing Values with Ordering.
AAAI
Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang
2007 C conf
Cost-Time Sensitive Decision Tree with Missing Values.
KSEM
Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2007 B conf
GBKII: An Imputation Method for Missing Values.
PAKDD
Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang
2007 A* conf
Measuring the Uncertainty of Differences for Contrasting Groups.
AAAI
Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang
2007 J jnl
Semi-parametric optimization for missing data imputation.
Appl. Intell.
Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2006 B conf
Difference Detection Between Two Contrast Sets.
DaWaK
Huijing Huang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Shichao Zhang
2006 A* conf
Identifying Follow-Correlation Itemset-Pairs.
ICDM
Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Zifang Huang
2006 — conf
Kernel-Based Multi-Imputation for Missing Data.
AMT
Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2006 B conf
Optimized Parameters for Missing Data Imputation.
PRICAI
Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2005 — conf
Any-Cost Discovery: Learning Optimal Classification Rules.
Australian Conference on Artificial Intelligence
Ailing Ni, Xiaofeng Zhu, Chengqi Zhang