Liu, Xinwang

109 publications

ICML 2025 Automatically 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

ICML 2025 Bifurcate Then Alienate: Incomplete Multi-View Clustering via Coupled Distribution Learning with Linear Overhead Shengju Yu, Yiu-Ming Cheung, Siwei Wang, Xinwang Liu, En Zhu

NeurIPS 2025 Bit-Swapping Oriented Twin-Memory Multi-View Clustering in Lifelong Incomplete Scenarios Shengju Yu, Pei Zhang, Siwei Wang, Suyuan Liu, Xinhang Wan, Zhibin Dong, Tiejun Li, Xinwang Liu

ICML 2025 COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering Weixuan Liang, Xinwang Liu, Ke Liang, Jiyuan Liu, En Zhu

NeurIPS 2025 DGCBench: A Deep Graph Clustering Benchmark Benyu Wu, Yue Liu, Qiaoyu Tan, Xinwang Liu, Wei Du, Jun Wang, Guoxian Yu

ICLR 2025 DLEFT-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

ICCV 2025 Deep Incomplete Multi-View Clustering with Distribution Dual-Consistency Recovery Guidance Jiaqi Jin, Siwei Wang, Zhibin Dong, Xihong Yang, Xinwang Liu, En Zhu, Kunlun He

NeurIPS 2025 EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation Dongyang Zeng, Yaping Liu, Wei Zhang, Shuo Zhang, Xinwang Liu, Binxing Fang

CVPR 2025 EASEMVC: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

ICML 2025 Efficient Federated Incomplete Multi-View Clustering Suyuan Liu, Hao Yu, Hao Tan, Ke Liang, Siwei Wang, Shengju Yu, En Zhu, Xinwang Liu

CVPR 2025 Enhanced 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

IJCAI 2025 FS-KEN: Few-Shot Knowledge Graph Reasoning by Adversarial Negative Enhancing Lingyuan Meng, Ke Liang, Zeyu Zhu, Xinwang Liu, Wenpeng Lu

ICML 2025 From 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

ICCV 2025 Generalized 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

CVPR 2025 Imputation-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

NeurIPS 2025 Incomplete Multi-View Deep Clustering with Data Imputation and Alignment Jiyuan Liu, Xinwang Liu, Xinhang Wan, Ke Liang, Weixuan Liang, Sihang Zhou, Huijun Wu, Kehua Guo

AAAI 2025 Incremental Nyström-Based Multiple Kernel Clustering Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Suyuan Liu, Qian Qu, Renxiang Guan, Huiying Xu, Xinwang Liu

ICCV 2025 Intra-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

AAAI 2025 Knowledge Graph Completion with Relation-Aware Anchor Enhancement Duanyang Yuan, Sihang Zhou, Xiaoshu Chen, Dong Wang, Ke Liang, Xinwang Liu, Jian Huang

IJCAI 2025 LRGR: 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

CoRL 2025 LaDi-WM: A Latent Diffusion-Based World Model for Predictive Manipulation Yuhang Huang, Jiazhao Zhang, Shilong Zou, Xinwang Liu, Ruizhen Hu, Kai Xu

CVPR 2025 Large-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

AAAI 2025 Max-Mahalanobis Anchors Guidance for Multi-View Clustering Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, Ivor W. Tsang

ICML 2025 On the Adversarial Robustness of Multi-Kernel Clustering Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu

JMLR 2025 Revisiting Gradient Normalization and Clipping for Nonconvex SGD Under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration Tao Sun, Xinwang Liu, Kun Yuan

NeurIPS 2025 SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering Zeyu Zhu, Ke Liang, Lingyuan Meng, Meng Liu, Suyuan Liu, Renxiang Guan, Miaomiao Li, Wanwei Liu, Xinwang Liu

ICML 2025 Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu

NeurIPS 2025 Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Hao Yu, Chuan Tang, Miaomiao Li, Xinwang Liu

ICLR 2025 Simple 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

IJCAI 2025 Soft Reasoning Paths for Knowledge Graph Completion Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang

NeurIPS 2025 SparseMVC: Probing Cross-View Sparsity Variations for Multi-View Clustering Ruimeng Liu, Xin Zou, Chang Tang, Xiao Zheng, Xingchen Hu, Kun Sun, Xinwang Liu

IJCAI 2025 Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-Scale Modulation Yuang Xiao, Yanran Zhu, Chang Tang, Xiao Zheng, Yuanyuan Liu, Kun Sun, Xinwang Liu

AAAI 2025 Structure-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

NeurIPS 2024 Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering Suyuan Liu, Siwei Wang, Ke Liang, Junpu Zhang, Zhibin Dong, Tianrui Liu, En Zhu, Kunlun He, Xinwang Liu

AAAI 2024 Attribute-Missing Graph Clustering Network Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu

NeurIPS 2024 Clustering Then Propagation: Select Better Anchors for Knowledge Graph Embedding Ke Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, Xinwang Liu

AAAI 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

ICML 2024 Decouple 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

ICLR 2024 Deep Temporal Graph Clustering Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

NeurIPS 2024 End-to-End Learnable Clustering for Intent Learning in Recommendation Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Xinwang Liu, Shengju Yu, Kejun Zhang, Wenliang Zhong

NeurIPS 2024 Evaluate Then Cooperate: Shapley-Based View Cooperation Enhancement for Multi-View Clustering Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu

AAAI 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

CVPR 2024 Learn 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

AAAI 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

AAAI 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

ICML 2024 Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation Weixuan Liang, En Zhu, Shengju Yu, Huiying Xu, Xinzhong Zhu, Xinwang Liu

NeurIPS 2024 The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization Haoyuan Qin, Chennan Ma, Mian Deng, Zhengzhu Liu, Songzhu Mei, Xinwang Liu, Cheng Wang, Siqi Shen

ICML 2024 Towards 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

AAAI 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

AAAI 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

ICML 2023 Consistency of Multiple Kernel Clustering Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu

ICCV 2023 Cross-View Topology Based Consistent and Complementary Information for Deep Multi-View Clustering Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu

CVPR 2023 Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu

ICML 2023 Dink-Net: Neural Clustering on Large Graphs Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li

AAAI 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

AAAI 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

NeurIPS 2023 On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions Yufeng Zhang, Jialu Pan, Li Ken Li, Wanwei Liu, Zhenbang Chen, Xinwang Liu, J Wang

NeurIPS 2023 RiskQ: Risk-Sensitive Multi-Agent Reinforcement Learning Value Factorization Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang

NeurIPS 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

IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu

CVPR 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

AAAI 2022 Deep Graph Clustering via Dual Correlation Reduction Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

CVPR 2022 DisARM: Displacement Aware Relation Module for 3D Detection Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu

AAAI 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

AAAI 2022 Fusion Multiple Kernel K-Means Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu

CVPR 2022 Highly-Efficient Incomplete Large-Scale Multi-View Clustering with Consensus Bipartite Graph Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu

IJCAI 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

NeurIPS 2022 ResQ: A Residual Q Function-Based Approach for Multi-Agent Reinforcement Learning Value Factorization Siqi Shen, Mengwei Qiu, Jun Liu, Weiquan Liu, Yongquan Fu, Xinwang Liu, Cheng Wang

AAAI 2022 Robust Graph-Based Multi-View Clustering Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu

NeurIPS 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

AAAI 2021 Deep Fusion Clustering Network Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng

AAAI 2021 Hierarchical Multiple Kernel Clustering Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang

IJCAI 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

ICCV 2021 Localized Simple Multiple Kernel K-Means Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

AAAI 2021 Neighborhood Consensus Networks for Unsupervised Multi-View Outlier Detection Li Cheng, Yijie Wang, Xinwang Liu

ICML 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

ICCV 2021 One-Pass Multi-View Clustering for Large-Scale Data Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi

AAAI 2020 CGD: Multi-View Clustering via Cross-View Graph Diffusion Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao

AAAI 2020 Deep Embedded Complementary and Interactive Information for Multi-View Classification Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han

IJCAI 2020 Joint Multi-View 2D Convolutional Neural Networks for 3D Object Classification Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han

AAAI 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

AAAI 2020 Outlier Detection Ensemble with Embedded Feature Selection Li Cheng, Yijie Wang, Xinwang Liu, Bin Li

AAAI 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

IJCAI 2019 Affine Equivariant Autoencoder Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin

AAAI 2019 Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang

NeurIPS 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

AAAI 2019 Efficient and Effective Incomplete Multi-View Clustering Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao

IJCAI 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

AAAI 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

IJCAI 2019 Simultaneous Representation Learning and Clustering for Incomplete Multi-View Data Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi

AAAI 2018 Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu

ACML 2018 Deep Embedded Clustering with Data Augmentation Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin

AAAI 2018 Deep Embedding for Determining the Number of Clusters Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin

ECCV 2018 DeepKSPD: Learning Kernel-Matrix-Based SPD Representation for Fine-Grained Image Recognition Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu

IJCAI 2018 FISH-MML: Fisher-HSIC Multi-View Metric Learning Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu

AAAI 2018 Latent Semantic Aware Multi-View Multi-Label Classification Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang

IJCAI 2018 Localized Incomplete Multiple Kernel K-Means Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao

AAAI 2018 Reliable Multi-View Clustering Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu

AAAI 2018 Variance Reduced K-Means Clustering Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin

IJCAI 2017 Approximate Large-Scale Multiple Kernel K-Means Using Deep Neural Network Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li

IJCAI 2017 Improved Deep Embedded Clustering with Local Structure Preservation Xifeng Guo, Long Gao, Xinwang Liu, Jianping Yin

IJCAI 2017 Multiple Kernel Clustering Framework with Improved Kernels Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li

AAAI 2017 Multiple Kernel K-Means with Incomplete Kernels Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu

AAAI 2017 Optimal Neighborhood Kernel Clustering with Multiple Kernels Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin

IJCAI 2016 Multiple Kernel Clustering with Local Kernel Alignment Maximization Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu

AAAI 2016 Multiple Kernel K-Means Clustering with Matrix-Induced Regularization Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu

AAAI 2015 Absent Multiple Kernel Learning Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang

AAAI 2014 Sample-Adaptive Multiple Kernel Learning Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin

ICCV 2011 In Defense of Soft-Assignment Coding Lingqiao Liu, Lei Wang, Xinwang Liu