| 2026 | AAAI | Sample-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 |
| 2026 | AAAI | DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering. | Baili Xiao, Ke Liang, Jiaqi Jin, Jun Wang, Yinbo Xu, Siwei Wang, En Zhu |
| 2026 | AAAI | Hierarchical 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 |
| 2025 | AAAI | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICDE | Robust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract). | Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu |
| 2025 | ICDE | DaRec: 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering. | Weixuan Liang, Xinwang Liu, Ke Liang, Jiyuan Liu, En Zhu |
| 2025 | ICML | Efficient Federated Incomplete Multi-View Clustering. | Suyuan Liu, Hao Yu, Hao Tan, Ke Liang, Siwei Wang, Shengju Yu, En Zhu, Xinwang Liu |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | IJCAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | CVPR | 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 |
| 2024 | ICASSP | One-Step Late Fusion Multi-View Clustering with Compressed Subspace. | Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu |
| 2024 | ICML | Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation. | Weixuan Liang, En Zhu, Shengju Yu, Huiying Xu, Xinzhong Zhu, Xinwang Liu |
| 2024 | ICML | 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 |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Cluster-Guided Contrastive Graph Clustering Network. | Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu |
| 2023 | ACML | Attributed Graph Subspace Clustering with Graph-Boosting. | Wang Li, En Zhu, Siwei Wang, Xifeng Guo |
| 2023 | ADMA | Iterative Encode-and-Decode Graph Neural Network. | Linxuan Song, Siwei Wang, Sihang Zhou, En Zhu |
| 2023 | CVPR | Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment. | Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu |
| 2023 | ICCV | Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering. | Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu |
| 2023 | ICDE | Consensus One-step Multi-view Subspace Clustering (Extended abstract). | Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai |
| 2023 | ICML | Consistency of Multiple Kernel Clustering. | Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu |
| 2022 | AAAI | Robust Graph-Based Multi-View Clustering. | Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu |
| 2022 | AAAI | Deep Graph Clustering via Dual Correlation Reduction. | Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu |
| 2022 | AAAI | Fusion Multiple Kernel K-means. | Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu |
| 2022 | CVPR | 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 |
| 2022 | IJCAI | 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 |
| 2022 | MMM | Multi-object Tracking with a Hierarchical Single-Branch Network. | Fan Wang, Lei Luo, En Zhu, Siwei Wang |
| 2021 | AAAI | Deep Fusion Clustering Network. | Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng |
| 2021 | DEXA | Unified and View-Specific Multiple Kernel K-Means Clustering. | Yujing Zhang, Siwei Wang, En Zhu |
| 2021 | ICML | 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 |
| 2021 | IJCAI | 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 |
| 2021 | MMM | Two-Stage Real-Time Multi-object Tracking with Candidate Selection. | Fan Wang, Lei Luo, En Zhu |
| 2020 | AAAI | CGD: Multi-View Clustering via Cross-View Graph Diffusion. | Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao |
| 2020 | AAAI | 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 |
| 2020 | AAAI | 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 |
| 2020 | ICPR | Image Representation Learning by Transformation Regression. | Xifeng Guo, Jiyuan Liu, Sihang Zhou, En Zhu, Shihao Dong |
| 2020 | MDAI | Multi-object Tracking Combines Motion and Visual Information. | Fan Wang, En Zhu, Lei Luo, Jun Long |
| 2019 | AAAI | Efficient and Effective Incomplete Multi-View Clustering. | Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao |
| 2019 | AAAI | 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 |
| 2019 | IJCAI | Affine Equivariant Autoencoder. | Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin |
| 2019 | IJCAI | Multi-view Clustering via Late Fusion Alignment Maximization. | Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin |
| 2019 | IJCNN | 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 |
| 2018 | AAAI | Deep Embedding for Determining the Number of Clusters. | Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin |
| 2018 | AAAI | Variance Reduced K-Means Clustering. | Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin |
| 2018 | ACML | Deep Embedded Clustering with Data Augmentation. | Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin |
| 2018 | IJCAI | Localized Incomplete Multiple Kernel k-means. | Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao |
| 2017 | AAAI | Multiple Kernel k-Means with Incomplete Kernels. | Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu |
| 2017 | AAAI | Optimal Neighborhood Kernel Clustering with Multiple Kernels. | Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin |
| 2017 | ICONIP | Deep Clustering with Convolutional Autoencoders. | Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin |
| 2016 | AAAI | Multiple Kernel | Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu |
| 2016 | ICPR | Appearance changes detection during tracking. | Wei Chen, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin |
| 2016 | IJCAI | Multiple Kernel Clustering with Local Kernel Alignment Maximization. | Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu |
| 2016 | ICPR | Anomaly detection in crowded scenes by SL-HOF descriptor and foreground classification. | Siqi Wang, En Zhu, Jianping Yin, Fatih Porikli |
| 2016 | ICPR | Co-regularized kernel k-means for multi-view clustering. | Yongkai Ye, Xinwang Liu, Jianping Yin, En Zhu |
| 2016 | IJCNN | Video anomaly detection based on ULGP-OF descriptor and one-class ELM. | Siqi Wang, En Zhu, Jianping Yin |
| 2015 | ICMV | An optimized structure on FPGA of key point description in SIFT algorithm. | Chenyu Xu, Jinlong Peng, En Zhu, Yuxin Zou |
| 2010 | ICIP | A composite fingerprint segmentation based on Log-Gabor filter and orientation reliability. | Chunfeng Hu, Jianping Yin, En Zhu, Hui Chen, Yong Li |
| 2009 | FAW | A Max-Margin Learning Algorithm with Additional Features. | Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang |
| 2009 | FAW | A Bit-Parallel Exact String Matching Algorithm for Small Alphabet. | Guomin Zhang, En Zhu, Ling Mao, Ming Yin |
| 2009 | MDAI | A Novel Method for Multibiometric Fusion Based on FAR and FRR. | Yong Li, Jianping Yin, Jun Long, En Zhu |
| 2008 | FAW | An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine. | Xinwang Liu, Guomin Zhang, Yubin Zhan, En Zhu |
| 2008 | FAW | A Distributed Algorithm to Approximate Node-Weighted Minimum alpha-Connected (Theta, k)-Coverage in Dense Sensor Networks. | Yongan Wu, Min Li, Zhiping Cai, En Zhu |
| 2008 | FAW | A Scalable Algorithm for Graph-Based Active Learning. | Wentao Zhao, Jun Long, En Zhu, Yun Liu |
| 2008 | ICNC | On the Partition Cells Formed by Hyperspheres. | Guomin Zhang, Jianping Yin, En Zhu, Ling Mao |
| 2008 | ICPR | Fingerprint alignment using special ridges. | Chunfeng Hu, Jianping Yin, En Zhu, Hui Chen, Yong Li |
| 2008 | ICPR | Score based biometric template selection. | Yong Li, Jianping Yin, En Zhu, Chunfeng Hu, Hui Chen |
| 2008 | MDAI | Graph-Based Active Learning Based on Label Propagation. | Jun Long, Jianping Yin, Wentao Zhao, En Zhu |
| 2008 | PAKDD | Active Learning with Misclassification Sampling Using Diverse Ensembles Enhanced by Unlabeled Instances. | Jun Long, Jianping Yin, En Zhu, Wentao Zhao |
| 2007 | MDAI | An Active Learning Method Based on Most Possible Misclassification Sampling Using Committee. | Jun Long, Jianping Yin, En Zhu |
| 2005 | ICNC | Quality Estimation of Fingerprint Image Based on Neural Network. | En Zhu, Jianping Yin, Chunfeng Hu, Guomin Zhang |