Xinwang Liu

According to our database, Xinwang Liu authored at least 244 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Partial Clustering Ensemble.

Peng Zhou, Liang Du, Xinwang Liu, Zhaolong Ling, Xia Ji, Xuejun Li, Yi-Dong Shen

IEEE Trans. Knowl. Data Eng., May, 2024

An Efficient Federated Multiview Fuzzy C-Means Clustering Method.

Xingchen Hu, Jindong Qin, Yinghua Shen, Witold Pedrycz, Xinwang Liu, Jiyuan Liu

IEEE Trans. Fuzzy Syst., April, 2024

How to Construct Corresponding Anchors for Incomplete Multiview Clustering.

Shengju Yu, Siwei Wang, Yi Wen, Ziming Wang, Zhigang Luo, En Zhu, Xinwang Liu

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Incomplete Multiple Kernel Alignment Maximization for Clustering.

Xinwang Liu

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning.

Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Multiview Deep Anomaly Detection: A Systematic Exploration.

Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Local Sample-Weighted Multiple Kernel Clustering With Consensus Discriminative Graph.

Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph.

Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure.

Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu

IEEE Trans. Knowl. Data Eng., January, 2024

Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection.

Hao Li, Wei Wang, Cong Wang, Zhigang Luo, Xinwang Liu, Kenli Li, Xiaochun Cao

CoRR, 2024

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering.

Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Attribute-Missing Graph Clustering Network.

Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering.

Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs.

Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations.

Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter.

Liang Li, Junpu Zhang, Siwei Wang, Xinwang Liu, Kenli Li, Keqin Li

IEEE Trans. Knowl. Data Eng., December, 2023

Multi-View Fuzzy Classification With Subspace Clustering and Information Granules.

Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang

IEEE Trans. Knowl. Data Eng., November, 2023

Design and Analysis of a Self-Adaptive Zeroing Neural Network for Solving Time-Varying Quadratic Programming.

Jianhua Dai, Xing Yang, Lin Xiao, Lei Jia, Xinwang Liu, Yaonan Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold.

Yu Hu, Endai Guo, Zhi Xie, Xinwang Liu, Hongmin Cai

IEEE Trans. Knowl. Data Eng., October, 2023

Missingness-Pattern-Adaptive Learning With Incomplete Data.

Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement.

Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Contrastive Multi-View Kernel Learning.

Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Qing Liao, Yuanqing Xia

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Multi-view subspace clustering via adaptive graph learning and late fusion alignment.

Chuan Tang, Kun Sun, Chang Tang, Xiao Zheng, Xinwang Liu, Jun-Jie Huang, Wei Zhang

Neural Networks, August, 2023

Hyperparameter-Free Localized Simple Multiple Kernel K-means With Global Optimum.

Xinwang Liu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

scDFC: A deep fusion clustering method for single-cell RNA-seq data.

Dayu Hu, Ke Liang, Sihang Zhou, Wenxuan Tu, Meng Liu, Xinwang Liu

Briefings Bioinform., July, 2023

Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning.

Tuanfei Zhu, Xinwang Liu, En Zhu

IEEE Trans. Knowl. Data Eng., June, 2023

Unified One-Step Multi-View Spectral Clustering.

Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu

IEEE Trans. Knowl. Data Eng., June, 2023

Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering.

Peng Zhou, Xinwang Liu, Liang Du, Xuejun Li

ACM Trans. Knowl. Discov. Data, June, 2023

Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization.

Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu

IEEE Trans. Cybern., June, 2023

Unsupervised feature selection via multiple graph fusion and feature weight learning.

Chang Tang, Xiao Zheng, Wei Zhang, Xinwang Liu, Xinzhong Zhu, En Zhu

Sci. China Inf. Sci., May, 2023

SimpleMKKM: Simple Multiple Kernel K-Means.

Xinwang Liu

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Platform-Oriented Event Time Allocation.

Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao

IEEE Trans. Knowl. Data Eng., March, 2023

E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection.

Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Multiple Kernel Clustering With Compressed Subspace Alignment.

Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu

IEEE Trans. Neural Networks Learn. Syst., 2023

Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization.

Tiejian Zhang, Xinwang Liu, Lei Gong, Siwei Wang, Xin Niu, Li Shen

IEEE Trans. Multim., 2023

Improving Embedding Generalization in Few-Shot Learning With Instance Neighbor Constraints.

Zhenyu Zhou, Lei Luo, Qing Liao, Xinwang Liu, En Zhu

IEEE Trans. Image Process., 2023

Video Anomaly Detection via Visual Cloze Tests.

Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin

IEEE Trans. Inf. Forensics Secur., 2023

Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection.

Chang Tang, Jun Wang, Xiao Zheng, Xinwang Liu, Weiying Xie, Xianju Li, Xinzhong Zhu

IEEE Trans. Geosci. Remote. Sens., 2023

Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention.

Zhenglai Li, Chang Tang, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, Albert Y. Zomaya

IEEE Trans. Geosci. Remote. Sens., 2023

Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation.

Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu

IEEE Trans. Geosci. Remote. Sens., 2023

Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection.

Jun Wang, Chang Tang, Xinwang Liu, Wei Zhang, Wanqing Li, Xinzhong Zhu, Lizhe Wang, Albert Y. Zomaya

IEEE Trans. Cybern., 2023

Multi-view clustering via matrix factorization assisted <i>k</i>-means.

Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu

Neurocomputing, 2023

Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters.

Dayu Hu, Zhibin Dong, Ke Liang, Jun Wang, Siwei Wang, Xinwang Liu

CoRR, 2023

MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations.

Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang

CoRR, 2023

Contrastive Continual Multi-view Clustering with Filtered Structural Fusion.

Xinhang Wan, Jiyuan Liu, Ao Li, Xinwang Liu, En Zhu

CoRR, 2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering.

Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2023

Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning.

Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu

CoRR, 2023

Unpaired Multi-View Graph Clustering with Cross-View Structure Matching.

Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu

CoRR, 2023

One-step Multi-view Clustering with Diverse Representation.

Xinhang Wan, Jiyuan Liu, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, Li Shen, En Zhu

CoRR, 2023

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering.

Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Xinwang Liu

CoRR, 2023

Fast Continual Multi-View Clustering with Incomplete Views.

Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu

CoRR, 2023

Message Intercommunication for Inductive Relation Reasoning.

Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu

CoRR, 2023

Deep Temporal Graph Clustering.

Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu

CoRR, 2023

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning.

Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu

CoRR, 2023

RARE: Robust Masked Graph Autoencoder.

Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai

CoRR, 2023

GANN: Graph Alignment Neural Network for Semi-Supervised Learning.

Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2023

Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network.

Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng

CoRR, 2023

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment.

Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu

CoRR, 2023

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification.

Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CONVERT: Contrastive Graph Clustering with Reliable Augmentation.

Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering.

Xihong Yang, Jin Jiaqi, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Scalable Incomplete Multi-View Clustering with Structure Alignment.

Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation.

Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Reinforcement Graph Clustering with Unknown Cluster Number.

Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification.

Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning.

Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Consistency of Multiple Kernel Clustering.

Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu

Proceedings of the International Conference on Machine Learning, 2023

Dink-Net: Neural Clustering on Large Graphs.

Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li

Proceedings of the International Conference on Machine Learning, 2023

Consensus One-step Multi-view Subspace Clustering (Extended abstract).

Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering.

Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment.

Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Cluster-Guided Contrastive Graph Clustering Network.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Auto-Weighted Multi-View Clustering for Large-Scale Data.

Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Hard Sample Aware Network for Contrastive Deep Graph Clustering.

Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering.

Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness.

Lin Xiao, Yongjun He, Jianhua Dai, Xinwang Liu, Bolin Liao, Haiyan Tan

IEEE Trans. Neural Networks Learn. Syst., 2022

Multiview Subspace Clustering via Co-Training Robust Data Representation.

Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Xifeng Guo, Marius Kloft, Liangzhong He

IEEE Trans. Neural Networks Learn. Syst., 2022

Projective Multiple Kernel Subspace Clustering.

Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu

IEEE Trans. Multim., 2022

Consensus Graph Learning for Multi-View Clustering.

Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu

IEEE Trans. Multim., 2022

Consensus One-Step Multi-View Subspace Clustering.

Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai

IEEE Trans. Knowl. Data Eng., 2022

Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection.

Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, Lizhe Wang

IEEE Trans. Knowl. Data Eng., 2022

Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels.

Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang

IEEE Trans. Knowl. Data Eng., 2022

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix.

Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu

IEEE Trans. Knowl. Data Eng., 2022

Predicting Future Locations with Semantic Trajectories.

Heli Sun, Xianglan Guo, Zhou Yang, Xuguang Chu, Xinwang Liu, Liang He

ACM Trans. Intell. Syst. Technol., 2022

Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance.

Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu

IEEE Trans. Image Process., 2022

High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering.

Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu

IEEE Trans. Image Process., 2022

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features.

Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Y. Zomaya, Antonella Longo

IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification.

Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Xinwang Liu, Bin Hu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Graph regularized spatial-spectral subspace clustering for hyperspectral band selection.

Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu

Neural Networks, 2022

Semantic instance segmentation with discriminative deep supervision for medical images.

Sihang Zhou, Dong Nie, Ehsan Adeli, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen

Medical Image Anal., 2022

Hyperspectral band selection via region-aware latent features fusion based clustering.

Jun Wang, Chang Tang, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang

Inf. Fusion, 2022

Adaptive partial graph learning and fusion for incomplete multi-view clustering.

Xiao Zheng, Xinwang Liu, Jiajia Chen, En Zhu

Int. J. Intell. Syst., 2022

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun

CoRR, 2022

Contrastive Deep Graph Clustering with Learnable Augmentation.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu

CoRR, 2022

GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning.

Jingcan Duan, Siwei Wang, Xinwang Liu, Haifang Zhou, Jingtao Hu, Hu Jin

CoRR, 2022

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application.

Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu

CoRR, 2022

Relational Symmetry based Knowledge Graph Contrastive Learning.

Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu

CoRR, 2022

Late Fusion Multi-view Clustering via Global and Local Alignment Maximization.

Siwei Wang, Xinwang Liu, En Zhu

CoRR, 2022

Mixed Graph Contrastive Network for Semi-Supervised Node Classification.

Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2022

Improved Dual Correlation Reduction Network.

Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang

CoRR, 2022

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences.

Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel.

Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Anchor Learning-based Multi-view Clustering - A Late Fusion Method.

Tiejian Zhang, Xinwang Liu, En Zhu, Sihang Zhou, Zhibin Dong

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multiple Kernel Clustering with Dual Noise Minimization.

Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Sample Weighted Multiple Kernel K-means via Min-Max optimization.

Yi Zhang, Weixuan Liang, Xinwang Liu, Sisi Dai, Siwei Wang, Liyang Xu, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Effective Video Abnormal Event Detection by Learning A Consistency-Aware High-Level Feature Extractor.

Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chengkun Wu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Continual Multi-view Clustering.

Xinhang Wan, Jiyuan Liu, Weixuan Liang, Xinwang Liu, Yi Wen, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Initializing Then Refining: A Simple Graph Attribute Imputation Network.

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Attributed Graph Clustering with Dual Redundancy Reduction.

Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Platform-Oriented Event Time Allocation(Extended Abstract).

Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement.

Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chuanfu Xu, Chengkun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph.

Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Fusion Multiple Kernel K-means.

Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors.

Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Deep Graph Clustering via Dual Correlation Reduction.

Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Robust Graph-Based Multi-View Clustering.

Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines.

Jiahang Liu, Lei Zuo, Xin Xu, Xinglong Zhang, Junkai Ren, Qiang Fang, Xinwang Liu

IEEE Trans. Syst. Man Cybern. Syst., 2021

Self-Paced Clustering Ensemble.

Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li

IEEE Trans. Neural Networks Learn. Syst., 2021

BR$^2$Net: Defocus Blur Detection Via a Bidirectional Channel Attention Residual Refining Network.

Chang Tang, Xinwang Liu, Shan An, Pichao Wang

IEEE Trans. Multim., 2021

Simultaneous Clustering and Optimization for Evolving Datasets.

Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin

IEEE Trans. Knowl. Data Eng., 2021

Anomaly Detection With Kernel Preserving Embedding.

Huawen Liu, Enhui Li, Xinwang Liu, Kaile Su, Shichao Zhang

ACM Trans. Knowl. Discov. Data, 2021

A Theoretical Revisit to Linear Convergence for Saddle Point Problems.

Wendi Wu, Yawei Zhao, En Zhu, Xinwang Liu, Xingxing Zhang, Lailong Luo, Shixiong Wang, Jianping Yin

ACM Trans. Intell. Syst. Technol., 2021

Fragmentary Multi-Instance Classification.

Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou

IEEE Trans. Cybern., 2021

Structured graph learning for clustering and semi-supervised classification.

Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian

Pattern Recognit., 2021

Learning deep discriminative embeddings via joint rescaled features and log-probability centers.

Huayue Cai, Xiang Zhang, Long Lan, Guohua Dong, Chuanfu Xu, Xinwang Liu, Zhigang Luo

Pattern Recognit., 2021

Efficient and Effective Regularized Incomplete Multi-View Clustering.

Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Multiple kernel clustering with late fusion consensus local graph preserving.

Yujing Zhang, Siwei Wang, Xinwang Liu, En Zhu

Int. J. Intell. Syst., 2021

Partial multiview clustering with locality graph regularization.

Huiqiang Lian, Huiying Xu, Siwei Wang, Miaomiao Li, Xinzhong Zhu, Xinwang Liu

Int. J. Intell. Syst., 2021

Improved autoencoder for unsupervised anomaly detection.

Zhen Cheng, Siwei Wang, Pei Zhang, Siqi Wang, Xinwang Liu, En Zhu

Int. J. Intell. Syst., 2021

Siamese Attribute-missing Graph Auto-encoder.

Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu

CoRR, 2021

Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests.

Siqi Wang, Guang Yu, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin, Qing Liao

CoRR, 2021

Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos.

Siqi Wang, Guang Yu, Zhiping Cai, En Zhu, Xinwang Liu, Jianping Yin, Chengzhang Zhu

CoRR, 2021

Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement.

Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan

CoRR, 2021

Multi-view Deep One-class Classification: A Systematic Exploration.

Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin

CoRR, 2021

Deep Distribution-preserving Incomplete Clustering with Optimal Transport.

Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu

CoRR, 2021

Multi-View Clustering With Learned Bipartite Graph.

Miaomiao Li, Weixuan Liang, Xinwang Liu

IEEE Access, 2021

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment.

Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

One-Stage Incomplete Multi-view Clustering via Late Fusion.

Yi Zhang, Xinwang Liu, Siwei Wang, Jiyuan Liu, Sisi Dai, En Zhu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Scalable Multi-view Subspace Clustering with Unified Anchors.

Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Self-Representation Subspace Clustering for Incomplete Multi-view Data.

Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering.

Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

One Pass Late Fusion Multi-view Clustering.

Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu

Proceedings of the 38th International Conference on Machine Learning, 2021

Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data.

Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Localized Simple Multiple Kernel K-means.

Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

One-pass Multi-view Clustering for Large-scale Data.

Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Fusion Clustering Network.

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Hierarchical Multiple Kernel Clustering.

Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation.

Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin

IEEE Trans. Neural Networks Learn. Syst., 2020

Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization.

Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang

IEEE Trans. Knowl. Data Eng., 2020

Adaptive Self-Paced Deep Clustering with Data Augmentation.

Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin

IEEE Trans. Knowl. Data Eng., 2020

Understand Dynamic Regret with Switching Cost for Online Decision Making.

Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin

ACM Trans. Intell. Syst. Technol., 2020

Multiple Kernel $k$k-Means with Incomplete Kernels.

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Absent Multiple Kernel Learning Algorithms.

Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Subspace segmentation-based robust multiple kernel clustering.

Sihang Zhou, En Zhu, Xinwang Liu, Tianming Zheng, Qiang Liu, Jingyuan Xia, Jianping Yin

Inf. Fusion, 2020

SimpleMKKM: Simple Multiple Kernel K-means.

Xinwang Liu, En Zhu, Jiyuan Liu, Timothy M. Hospedales, Yang Wang, Meng Wang

CoRR, 2020

ℓ_q-Norm Sample-Adaptive Multiple Kernel Learning.

Qiang Wang, Xinwang Liu, Jiaqing Xu

IEEE Access, 2020

Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix.

Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin, Wen Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features.

Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

CGD: Multi-View Clustering via Cross-View Graph Diffusion.

Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning a Joint Affinity Graph for Multiview Subspace Clustering.

Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang

IEEE Trans. Multim., 2019

Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation.

Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang

IEEE Trans. Multim., 2019

Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets.

Yawei Zhao, Kai Xu, En Zhu, Xinwang Liu, Xinzhong Zhu, Jianping Yin

IEEE Trans. Knowl. Data Eng., 2019

An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos.

Jingtao Hu, En Zhu, Siqi Wang, Xinwang Liu, Xifeng Guo, Jianping Yin

Sensors, 2019

Late Fusion Incomplete Multi-View Clustering.

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Unsupervised feature selection via latent representation learning and manifold regularization.

Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin

Neural Networks, 2019

Dual graph regularized compact feature representation for unsupervised feature selection.

Shaoyong Li, Chang Tang, Xinwang Liu, Yaping Liu, Jiajia Chen

Neurocomputing, 2019

Diversity and consistency learning guided spectral embedding for multi-view clustering.

Zhenglai Li, Chang Tang, Jiajia Chen, Cheng Wan, Weiqing Yan, Xinwang Liu

Neurocomputing, 2019

Scalable k-means for large-scale clustering.

Yuewei Ming, En Zhu, Mao Wang, Qiang Liu, Xinwang Liu, Jianping Yin

Intell. Data Anal., 2019

Efficient Multiple Kernel k-Means Clustering With Late Fusion.

Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu

IEEE Access, 2019

K-Means Clustering With Incomplete Data.

Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin

IEEE Access, 2019

Robust Multi-View Clustering With a Unified Weight Learning Paradigm.

Miaomiao Li, Zhenglai Li, Chang Tang, Xinwang Liu, Lulu Wang

IEEE Access, 2019

Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization.

Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai

IEEE Access, 2019

Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network.

Siqi Wang, Yijie Zeng, Xinwang Liu, En Zhu, Jianping Yin, Chuanfu Xu, Marius Kloft

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression.

Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jianping Yin

Proceedings of the International Joint Conference on Neural Networks, 2019

Multi-view Clustering via Late Fusion Alignment Maximization.

Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Affine Equivariant Autoencoder.

Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Salient Object Detection via Recurrently Aggregating Spatial Attention Weighted Cross-Level Deep Features.

Chang Tang, Xinzhong Zhu, Xinwang Liu, Pichao Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features.

Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Y. Zomaya

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios.

Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection.

Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Efficient and Effective Incomplete Multi-View Clustering.

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Game-Theoretic Design of Optimal Two-Sided Rating Protocols for Service Exchange Dilemma in Crowdsourcing.

Jianfeng Lu, Yun Xin, Zhao Zhang, Xinwang Liu, Kenli Li

IEEE Trans. Inf. Forensics Secur., 2018

Model-aware categorical data embedding: a data-driven approach.

Wentao Zhao, Qian Li, Chengzhang Zhu, Jianglong Song, Xinwang Liu, Jianping Yin

Soft Comput., 2018

Incremental multiple kernel extreme learning machine and its application in Robo-advisors.

Jingming Xue, Qiang Liu, Miaomiao Li, Xinwang Liu, Yongkai Ye, Siqi Wang, Jianping Yin

Soft Comput., 2018

Robust unsupervised feature selection via dual self-representation and manifold regularization.

Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Jiajia Chen, Lizhe Wang, Wanqing Li

Knowl. Based Syst., 2018

Consensus learning guided multi-view unsupervised feature selection.

Chang Tang, Jiajia Chen, Xinwang Liu, Miaomiao Li, Pichao Wang, Minhui Wang, Peng Lu

Knowl. Based Syst., 2018

Large-scale k-means clustering via variance reduction.

Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin

Neurocomputing, 2018

Financial time series prediction using ℓ_{2, 1}RF-ELM.

Jingming Xue, Sihang Zhou, Qiang Liu, Xinwang Liu, Jianping Yin

Neurocomputing, 2018

Local kernel alignment based multi-view clustering using extreme learning machine.

Qiang Wang, Yong Dou, Xinwang Liu, Fei Xia, Qi Lv, Ke Yang

Neurocomputing, 2018

DMP-ELMs: Data and model parallel extreme learning machines for large-scale learning tasks.

Yuewei Ming, En Zhu, Mao Wang, Yongkai Ye, Xinwang Liu, Jianping Yin

Neurocomputing, 2018

Robust graph regularized unsupervised feature selection.

Chang Tang, Xinzhong Zhu, Jiajia Chen, Pichao Wang, Xinwang Liu, Jie Tian

Expert Syst. Appl., 2018

Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit.

Yawei Zhao, En Zhu, Xinwang Liu, Jianping Yin

CoRR, 2018

Incomplete Multiview Clustering via Late Fusion.

Yongkai Ye, Xinwang Liu, Qiang Liu, Xifeng Guo, Jianping Yin

Comput. Intell. Neurosci., 2018

Multiple Kernel Clustering With Global and Local Structure Alignment.

Chuanli Wang, En Zhu, Xinwang Liu, Long Gao, Jianping Yin, Ning Hu

IEEE Access, 2018

A Kernel Method with Manifold Regularization for Interactive Segmentation.

Haohao Chen, En Zhu, Xinwang Liu, Junnan Zhang, Jianping Yin

Proceedings of the Theoretical Computer Science - 36th National Conference, 2018

Localized Incomplete Multiple Kernel k-means.

Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

FISH-MML: Fisher-HSIC Multi-View Metric Learning.

Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition.

Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu

Proceedings of the Computer Vision - ECCV 2018, 2018

Multi-view Clustering with Noisy Views.

Yongkai Ye, Xinwang Liu, Jianping Yin

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Deep Embedded Clustering with Data Augmentation.

Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Variance Reduced K-Means Clustering.

Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deep Embedding for Determining the Number of Clusters.

Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multiple kernel learning with hybrid kernel alignment maximization.

Yueqing Wang, Xinwang Liu, Yong Dou, Qi Lv, Yao Lu

Pattern Recognit., 2017

Multiple kernel clustering with corrupted kernels.

Teng Li, Yong Dou, Xinwang Liu, Yang Zhao, Qi Lv

Neurocomputing, 2017

Consensus Kernel K-Means Clustering for Incomplete Multiview Data.

Yongkai Ye, Xinwang Liu, Qiang Liu, Jianping Yin

Comput. Intell. Neurosci., 2017

Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network.

Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multiple Kernel Clustering Framework with Improved Kernels.

Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improved Deep Embedded Clustering with Local Structure Preservation.

Xifeng Guo, Long Gao, Xinwang Liu, Jianping Yin

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Clustering with Convolutional Autoencoders.

Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Optimal Neighborhood Kernel Clustering with Multiple Kernels.

Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multiple Kernel k-Means with Incomplete Kernels.

Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Absent extreme learning machine algorithm with application to packed executable identification.

Peidai Xie, Xinwang Liu, Jianping Yin, Yongjun Wang

Neural Comput. Appl., 2016

Random Fourier extreme learning machine with ℓ_{2, 1}-norm regularization.

Sihang Zhou, Xinwang Liu, Qiang Liu, Siqi Wang, Chengzhang Zhu, Jianping Yin

Neurocomputing, 2016

A novel multi-view clustering method via low-rank and matrix-induced regularization.

Yang Zhao, Yong Dou, Xinwang Liu, Teng Li

Neurocomputing, 2016

Multi-view clustering with extreme learning machine.

Qiang Wang, Yong Dou, Xinwang Liu, Qi Lv, Shijie Li

Neurocomputing, 2016

PR-ELM: Parallel regularized extreme learning machine based on cluster.

Yueqing Wang, Yong Dou, Xinwang Liu, Yuanwu Lei

Neurocomputing, 2016

MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine.

Qiang Liu, Sihang Zhou, Chengzhang Zhu, Xinwang Liu, Jianping Yin

Neurocomputing, 2016

Joint diversity regularization and graph regularization for multiple kernel k-means clustering via latent variables.

Teng Li, Yong Dou, Xinwang Liu

Neurocomputing, 2016

ELM based multiple kernel k-means with diversity-induced regularization.

Yang Zhao, Yong Dou, Xinwang Liu, Teng Li

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multiple Kernel Clustering with Local Kernel Alignment Maximization.

Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Co-regularized kernel k-means for multi-view clustering.

Yongkai Ye, Xinwang Liu, Jianping Yin, En Zhu

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Appearance changes detection during tracking.

Wei Chen, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Localized region context and object feature fusion for people head detection.

Yule Li, Yong Dou, Xinwang Liu, Teng Li

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Multiple Kernel <i>k</i>-Means Clustering with Matrix-Induced Regularization.

Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction.

Xinwang Liu, Luping Zhou, Lei Wang, Jian Zhang, Jianping Yin, Dinggang Shen

Pattern Recognit., 2015

Multiple kernel extreme learning machine.

Xinwang Liu, Lei Wang, Guang-Bin Huang, Jian Zhang, Jianping Yin

Neurocomputing, 2015

Absent Multiple Kernel Learning.

Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Global and Local Structure Preservation for Feature Selection.

Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, Huan Liu

IEEE Trans. Neural Networks Learn. Syst., 2014

On Radius-Incorporated Multiple Kernel Learning.

Xinwang Liu, Jianping Yin, Jun Long

Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

A binary feature selection framework in kernel spaces.

Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Spectral clustering-based local and global structure preservation for feature selection.

Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection.

Shangrong Huang, Jian Zhang, Xinwang Liu, Lei Wang

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Sample-Adaptive Multiple Kernel Learning.

Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

An Adaptive Approach to Learning Optimal Neighborhood Kernels.

Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang

IEEE Trans. Cybern., 2013

An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning.

Xinwang Liu, Lei Wang, Jianping Yin, En Zhu, Jian Zhang

IEEE Trans. Cybern., 2013

Large Margin Subspace Learning for feature selection.

Bo Liu, Bin Fang, Xinwang Liu, Jie Chen, Zhenghong Huang, Xiping He

Pattern Recognit., 2013

Nonlinear discriminant clustering based on spectral regularization.

Yubin Zhan, Jianping Yin, Xinwang Liu

Neural Comput. Appl., 2013

2012

Incorporation of radius-info can be simple with SimpleMKL.

Xinwang Liu, Lei Wang, Jianping Yin, Lingqiao Liu

Neurocomputing, 2012

2011

In defense of soft-assignment coding.

Lingqiao Liu, Lei Wang, Xinwang Liu

Proceedings of the IEEE International Conference on Computer Vision, 2011

2009

A Large Margin Classifier with Additional Features.

Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Adaptive Neighborhood Select Based on Local Linearity for Nonlinear Dimensionality Reduction.

Yubin Zhan, Jianping Yin, Xinwang Liu, Guomin Zhang

Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

A Max-Margin Learning Algorithm with Additional Features.

Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang

Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009

2008

An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine.

Xinwang Liu, Guomin Zhang, Yubin Zhan, En Zhu

Proceedings of the Frontiers in Algorithmics, Second Annual International Workshop, 2008