Zhu, En

55 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

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

IJCAI 2025 Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models Siyang Zhang, Bin Li, Jingtao Qi, Xueying Wang, Fu Li, Jianan Wang, En Zhu, Jinjing Sun

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

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

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

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 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

AAAI 2024 A Non-Parametric Graph Clustering Framework for Multi-View Data Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu

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 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

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

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 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

ACML 2023 Attributed Graph Subspace Clustering with Graph-Boosting Wang Li, En Zhu, Siwei Wang, Xifeng Guo

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

AAAI 2023 Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong

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 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

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

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

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

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

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

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 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 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

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

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

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

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