Skip to content
cs-conference-ranking.org

Xinwang Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

130

Venues

23

Active years

2008–2026

Best venue rank

A*

Where they publish

Papers

130 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIEnhancing Kernel Power $K$-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method.Yixi Chen, Weixuan Liang, Tianrui Liu, Jun-Jie Huang, Ao Li, Xueling Zhu, Xinwang Liu
2026AAAISample-specific Modality Diagnosis and Cross-modal Enhancement for Incomplete Multimodal Representations.Junsong Chen, Jiyuan Liu, Suyuan Liu, Wei Zhang, Ao Li, En Zhu, Xinwang Liu
2026AAAIGraph Masked Autoencoder for Multi-view Remote Sensing Data Clustering.Renxiang Guan, Junhong Li, Siwei Wang, Tianrui Li, Dayu Hu, Miaomiao Li, Xinwang Liu
2026AAAIMake Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning.Lingyuan Meng, Ke Liang, Hao Yu, Haotian Wang, Miaomiao Li, Xinwang Liu
2026AAAITVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models.Hao Yu, Ke Liang, Junxian Duan, Jun Wang, Siwei Wang, Chuan Ma, Xinwang Liu
2026AAAIParameter-Free Clustering via Self-Supervised Consensus Maximization.Lijun Zhang, Suyuan Liu, Siwei Wang, Shengju Yu, Xueling Zhu, Miaomiao Li, Xinwang Liu
2026AAAIHierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation.Taichun Zhou, Siwei Wang, Zhibin Dong, Jiaqi Jin, Ke Liang, Baili Xiao, Miaomiao Li, Xinwang Liu, En Zhu
2026ICDEJetBGC: Joint Robust Embedding and Structural Fusion Bipartite Graph Clustering (Extended Abstract).Liang Li, Yuangang Pan, Junpu Zhang, Pei Zhang, Jie Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li
2026WWWScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion.Xiang Li, Jianpeng Qi, Haobing Liu, Yuan Cao, Guoqing Chao, Zhongying Zhao, Junyu Dong, Xinwang Liu, Yanwei Yu
2026WWWKEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection.Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju
2025AAAIMax-Mahalanobis Anchors Guidance for Multi-View Clustering.Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, Ivor W. Tsang
2025AAAIIncremental Nystrm-based Multiple Kernel Clustering.Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Suyuan Liu, Qian Qu, Renxiang Guan, Huiying Xu, Xinwang Liu
2025AAAIStructure-Adaptive Multi-View Graph Clustering for Remote Sensing Data.Renxiang Guan, Wenxuan Tu, Siwei Wang, Jiyuan Liu, Dayu Hu, Chang Tang, Yu Feng, Junhong Li, Baili Xiao, Xinwang Liu
2025AAAIKnowledge Graph Completion with Relation-Aware Anchor Enhancement.Duanyang Yuan, Sihang Zhou, Xiaoshu Chen, Dong Wang, Ke Liang, Xinwang Liu, Jian Huang
2025ACLAGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models.Shilong Pan, Zhiliang Tian, Zhen Huang, Wanlong Yu, Zhihua Wen, Xinwang Liu, Kai Lu, Minlie Huang, Dongsheng Li
2025ACLDPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation.Zhonghao Sun, Zhiliang Tian, Yiping Song, Yuyi Si, Juhua Zhang, Minlie Huang, Kai Lu, Zeyu Xiong, Xinwang Liu, Dongsheng Li
2025ACLDYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference.Juhua Zhang, Zhiliang Tian, Minghang Zhu, Yiping Song, Taishu Sheng, Siyi Yang, Qiunan Du, Xinwang Liu, Minlie Huang, Dongsheng Li
2025CVPRLarge-scale Multi-view Tensor Clustering with Implicit Linear Kernels.Jiyuan Liu, Xinwang Liu, Chuankun Li, Xinhang Wan, Hao Tan, Yi Zhang, Weixuan Liang, Qian Qu, Yu Feng, Renxiang Guan, Ke Liang
2025CVPRImputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning.Yuzhuo Dai, Jiaqi Jin, Zhibin Dong, Siwei Wang, Xinwang Liu, En Zhu, Xihong Yang, Xinbiao Gan, Yu Feng
2025CVPREnhanced then Progressive Fusion with View Graph for Multi-View Clustering.Zhibin Dong, Meng Liu, Siwei Wang, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu
2025CVPREASEMVC: Efficient Dual Selection Mechanism for Deep Multi-View Clustering.Baili Xiao, Zhibin Dong, Ke Liang, Suyuan Liu, Siwei Wang, Tianrui Liu, Xingchen Hu, En Zhu, Xinwang Liu
2025EMNLPSkip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster.Xiaoshu Chen, Sihang Zhou, Ke Liang, Xiaoyu Sun, Xinwang Liu
2025EMNLPCorrelation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes.Qiunan Du, Zhiliang Tian, Zhen Huang, Kailun Bian, Tianlun Liu, Zhaoning Zhang, Xinwang Liu, Feng Liu, Dong Sheng Li
2025EMNLPSwiftPrune: Hessian-Free Weight Pruning for Large Language Models.Yuhan Kang, Yang Shi, Mei Wen, Jun He, Jianchao Yang, Zeyu Xue, Jing Feng, Xinwang Liu
2025ICCVDeep Incomplete Multi-View Clustering with Distribution Dual-Consistency Recovery Guidance.Jiaqi Jin, Siwei Wang, Zhibin Dong, Xihong Yang, Xinwang Liu, En Zhu, Kunlun He
2025ICCVIntra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery.Xinhang Wan, Jiyuan Liu, Qian Qu, Suyuan Liu, Chuyu Zhang, Fangdi Wang, Xinwang Liu, En Zhu, Kunlun He
2025ICCVGeneralized Deep Multi-View Clustering Via Causal Learning With Partially Aligned Cross-View Correspondence.Xihong Yang, Siwei Wang, Jiaqi Jin, Fangdi Wang, Tianrui Liu, Yueming Jin, Xinwang Liu, En Zhu, Kunlun He
2025ICDEBGAE: Auto-encoding Multi-view Bipartite Graph Clustering (Extended Abstract).Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li
2025ICDERobust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract).Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu
2025ICDEDaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min
2025ICLRSimple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction.Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang, Xinwang Liu, Naiyang Guan, Tiejun Li, Yiu-ming Cheung
2025ICLRDLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization.Yi Zhang, Siwei Wang, Jiyuan Liu, Shengju Yu, Zhibin Dong, Suyuan Liu, Xinwang Liu, En Zhu
2025ICMLOn the Adversarial Robustness of Multi-Kernel Clustering.Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu
2025ICMLScalable Attribute-Missing Graph Clustering via Neighborhood Differentiation.Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu
2025ICMLCOKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering.Weixuan Liang, Xinwang Liu, Ke Liang, Jiyuan Liu, En Zhu
2025ICMLEfficient Federated Incomplete Multi-View Clustering.Suyuan Liu, Hao Yu, Hao Tan, Ke Liang, Siwei Wang, Shengju Yu, En Zhu, Xinwang Liu
2025ICMLAutomatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios.Xihong Yang, Siwei Wang, Fangdi Wang, Jiaqi Jin, Suyuan Liu, Yue Liu, En Zhu, Xinwang Liu, Yueming Jin
2025ICMLBifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead.Shengju Yu, Yiu-ming Cheung, Siwei Wang, Xinwang Liu, En Zhu
2025ICMLFrom Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering.Shengju Yu, Zhibin Dong, Siwei Wang, Suyuan Liu, Ke Liang, Xinwang Liu, Yue Liu, Yi Zhang
2025IJCAISoft Reasoning Paths for Knowledge Graph Completion.Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang
2025IJCAIFS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing.Lingyuan Meng, Ke Liang, Zeyu Zhu, Xinwang Liu, Wenpeng Lu
2025IJCAISpatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation.Yuang Xiao, Yanran Zhu, Chang Tang, Xiao Zheng, Yuanyuan Liu, Kun Sun, Xinwang Liu
2025IJCAILRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment.Yanwanyu Xi, Xiao Zheng, Chang Tang, Xingchen Hu, Yuanyuan Liu, Jun-Jie Huang, Xinwang Liu
2025MICCAIPolyMamba: Spatial-Prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement.Renyu Fu, Shurui Hu, Xiao Zheng, Chang Tang, Xinwang Liu
2025NDSSDShield: Defending against Backdoor Attacks on Graph Neural Networks via Discrepancy Learning.Hao Yu, Chuan Ma, Xinhang Wan, Jun Wang, Tao Xiang, Meng Shen, Xinwang Liu
2024AAAIHawkes-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
2024AAAIMINES: 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
2024AAAISample-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
2024AAAIAttribute-Missing Graph Clustering Network.Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu
2024AAAIDVSAI: 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
2024CVPRLearn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering.Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu
2024ICLRDeep Temporal Graph Clustering.Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
2024ICMLScalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation.Weixuan Liang, En Zhu, Shengju Yu, Huiying Xu, Xinzhong Zhu, Xinwang Liu
2024ICMLDecouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information.Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu
2024ICMLTowards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering.Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu
2024IJCNNUnsupervised Graph Anomaly Detection on Directed Attribute Network.Haoyang Li, Siwei Wang, Xinwang Liu, Xinbiao Gan
2023AAAILet 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
2023AAAIHard 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
2023AAAIAuto-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
2023AAAICluster-Guided Contrastive Graph Clustering Network.Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu
2023CVPRDeep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment.Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu
2023ICCVCross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering.Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu
2023ICDEConsensus One-step Multi-view Subspace Clustering (Extended abstract).Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai
2023ICMLDink-Net: Neural Clustering on Large Graphs.Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
2023ICMLConsistency of Multiple Kernel Clustering.Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu
2023SIGIRLearn 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
2022AAAIRobust Graph-Based Multi-View Clustering.Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu
2022AAAIDeep Graph Clustering via Dual Correlation Reduction.Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu
2022AAAIEfficient One-Pass Multi-View Subspace Clustering with Consensus Anchors.Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao
2022AAAIFusion Multiple Kernel K-means.Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu
2022CVPRDisARM: Displacement Aware Relation Module for 3D Detection.Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu
2022CVPRHighly-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
2022CVPRDeep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement.Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chuanfu Xu, Chengkun Wu
2022ICDEPlatform-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
2022IJCAIAttributed Graph Clustering with Dual Redundancy Reduction.Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu
2022IJCAIInitializing Then Refining: A Simple Graph Attribute Imputation Network.Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng
2021AAAIHierarchical Multiple Kernel Clustering.Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang
2021AAAINeighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection.Li Cheng, Yijie Wang, Xinwang Liu
2021AAAIDeep Fusion Clustering Network.Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng
2021DASFAAA Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks.Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu
2021ICCVOne-pass Multi-view Clustering for Large-scale Data.Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi
2021ICCVLocalized Simple Multiple Kernel K-means.Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang
2021ICMLOne Pass Late Fusion Multi-view Clustering.Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu
2021IJCAIHyperspectral 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
2020AAAIOutlier Detection Ensemble with Embedded Feature Selection.Li Cheng, Yijie Wang, Xinwang Liu, Bin Li
2020AAAICGD: Multi-View Clustering via Cross-View Graph Diffusion.Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao
2020AAAIR²MRF: 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
2020AAAIDeep Embedded Complementary and Interactive Information for Multi-View Classification.Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han
2020AAAIMulti-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
2020IJCAIJoint Multi-view 2D Convolutional Neural Networks for 3D Object Classification.Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han
2019AAAIEfficient and Effective Incomplete Multi-View Clustering.Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao
2019AAAICross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection.Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang
2019AAAIRobustness 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
2019CVPRDeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features.Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Y. Zomaya
2019IJCAIAffine Equivariant Autoencoder.Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin
2019IJCAIMulti-view Clustering via Late Fusion Alignment Maximization.Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin
2019IJCAISimultaneous Representation Learning and Clustering for Incomplete Multi-view Data.Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi
2019IJCNNTwo-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
2018AAAIReliable Multi-View Clustering.Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu
2018AAAICooperative Training of Deep Aggregation Networks for RGB-D Action Recognition.Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu
2018AAAIDeep Embedding for Determining the Number of Clusters.Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin
2018AAAILatent Semantic Aware Multi-View Multi-Label Classification.Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang
2018AAAIVariance Reduced K-Means Clustering.Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin
2018ACMLDeep Embedded Clustering with Data Augmentation.Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin
2018ECCVDeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition.Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu
2018IJCAIFISH-MML: Fisher-HSIC Multi-View Metric Learning.Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu
2018IJCAILocalized Incomplete Multiple Kernel k-means.Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao
2017AAAIMultiple Kernel k-Means with Incomplete Kernels.Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu
2017AAAIOptimal Neighborhood Kernel Clustering with Multiple Kernels.Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin
2017ICDMFast Compressive Spectral Clustering.Ting Li, Yiming Zhang, Dongsheng Li, Xinwang Liu, Yuxing Peng
2017ICONIPDeep Clustering with Convolutional Autoencoders.Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin
2017IJCAIImproved Deep Embedded Clustering with Local Structure Preservation.Xifeng Guo, Long Gao, Xinwang Liu, Jianping Yin
2017IJCAIMultiple Kernel Clustering Framework with Improved Kernels.Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li
2017IJCAIApproximate Large-scale Multiple Kernel k-means Using Deep Neural Network.Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li
2016AAAIMultiple KernelXinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu
2016ICIPLocalized region context and object feature fusion for people head detection.Yule Li, Yong Dou, Xinwang Liu, Teng Li
2016ICPRAppearance changes detection during tracking.Wei Chen, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin
2016IJCAIMultiple Kernel Clustering with Local Kernel Alignment Maximization.Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu
2016ICPRCo-regularized kernel k-means for multi-view clustering.Yongkai Ye, Xinwang Liu, Jianping Yin, En Zhu
2016IJCNNELM based multiple kernel k-means with diversity-induced regularization.Yang Zhao, Yong Dou, Xinwang Liu, Teng Li
2015AAAIAbsent Multiple Kernel Learning.Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang
2014AAAISample-Adaptive Multiple Kernel Learning.Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin
2014ICPRMultiple Kernel Learning Based Multi-view Spectral Clustering.Dongyan Guo, Jian Zhang, Xinwang Liu, Ying Cui, Chunxia Zhao
2014ICPRA Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection.Shangrong Huang, Jian Zhang, Xinwang Liu, Lei Wang
2014IJCNNSpectral clustering-based local and global structure preservation for feature selection.Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin
2014IJCNNA binary feature selection framework in kernel spaces.Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin
2014MDAIOn Radius-Incorporated Multiple Kernel Learning.Xinwang Liu, Jianping Yin, Jun Long
2011ICCVIn defense of soft-assignment coding.Lingqiao Liu, Lei Wang, Xinwang Liu
2009FAWA Max-Margin Learning Algorithm with Additional Features.Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang
2008FAWAn Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine.Xinwang Liu, Guomin Zhang, Yubin Zhan, En Zhu