default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEn Zhu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j109]Yinghao Chen, Yingmei Chen, Yizhou Zhao, Chenghao Wu, En Zhu:
A Low-mismatch 20GS/s 5-bit Flash ADC for optical receivers in 90 nm SiGe BiCMOS Technology. Microelectron. J. 161: 106698 (2025)- [j108]Tuanfei Zhu
, Xingchen Hu, Xinwang Liu, En Zhu, Xinzhong Zhu, Huiying Xu:
Dynamic Ensemble Framework for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. 37(5): 2456-2471 (2025) - [j107]Siwei Wang, Xinwang Liu, Qing Liao, Yi Wen, En Zhu, Kunlun He:
Scalable Multi-View Graph Clustering With Cross-View Corresponding Anchor Alignment. IEEE Trans. Knowl. Data Eng. 37(5): 2932-2945 (2025) - [j106]Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian:
Dual Test-Time Training for Out-of-Distribution Recommender System. IEEE Trans. Knowl. Data Eng. 37(6): 3312-3326 (2025) - [j105]Shengju Yu, Suyuan Liu, Siwei Wang, Chang Tang, Zhigang Luo, Xinwang Liu, En Zhu:
Sparse Low-Rank Multi-View Subspace Clustering With Consensus Anchors and Unified Bipartite Graph. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1438-1452 (2025) - [j104]Jingtao Hu, Bin Xiao, Hu Jin, Jingcan Duan, Siwei Wang, Zhao Lv, Siqi Wang, Xinwang Liu, En Zhu:
SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1664-1676 (2025) - [j103]Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Bin Xiao, Siwei Wang, Xinwang Liu, En Zhu:
Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3218-3230 (2025) - [j102]Xinhang Wan, Jiyuan Liu, Xinbiao Gan, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, En Zhu:
One-Step Multi-View Clustering With Diverse Representation. IEEE Trans. Neural Networks Learn. Syst. 36(3): 5774-5786 (2025) - [j101]Zhenyu Zhou, Lei Luo, Tianrui Liu, Qing Liao, Xinwang Liu, En Zhu:
Category Alignment Mechanism for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7725-7738 (2025) - [j100]Yi Zhang, Fengyu Tian, Chuan Ma, Miaomiao Li, Hengfu Yang, Zhe Liu, En Zhu, Xinwang Liu:
Regularized Instance Weighting Multiview Clustering via Late Fusion Alignment. IEEE Trans. Neural Networks Learn. Syst. 36(5): 8926-8938 (2025) - [j99]Junpu Zhang, Liang Li, Pei Zhang, Yue Liu, Siwei Wang, Changbao Zhou, Xinwang Liu, En Zhu:
TFMKC: Tuning-Free Multiple Kernel Clustering Coupled With Diverse Partition Fusion. IEEE Trans. Neural Networks Learn. Syst. 36(5): 9592-9605 (2025) - [c113]Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, Ivor W. Tsang:
Max-Mahalanobis Anchors Guidance for Multi-View Clustering. AAAI 2025: 22488-22496 - [c112]Yi Zhang, Siwei Wang, Jiyuan Liu, Shengju Yu, Zhibin Dong, Suyuan Liu, Xinwang Liu, En Zhu:
DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization. ICLR 2025 - [i39]Jiaqi Jin, Siwei Wang, Zhibin Dong, Xihong Yang, Xinwang Liu, En Zhu, Kunlun He:
Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance. CoRR abs/2503.11017 (2025) - 2024
- [j98]Yinghao Chen, Yingmei Chen, Wentian Fan, Qingyi Zhao, En Zhu, Zhengfei Hu:
A 2-20 Gbps Clock and Data Recovery Based on Phase Interpolation and Delay Locked Loop. Circuits Syst. Signal Process. 43(1): 318-330 (2024) - [j97]Xiao Zheng, Minhui Wang, Kai Huang, En Zhu:
Global and cross-modal feature aggregation for multi-omics data classification and application on drug response prediction. Inf. Fusion 102: 102077 (2024) - [j96]Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu:
Anchor-based multi-view subspace clustering with hierarchical feature descent. Inf. Fusion 106: 102225 (2024) - [j95]Weixuan Liang, Chang Tang, Xinwang Liu, Yong Liu, Jiyuan Liu, En Zhu, Kunlun He:
On the Consistency and Large-Scale Extension of Multiple Kernel Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6935-6947 (2024) - [j94]Linxuan Song, Wenxuan Tu, Sihang Zhou, En Zhu:
GANN: Graph Alignment Neural Network for semi-supervised learning. Pattern Recognit. 154: 110484 (2024) - [j93]Shengju Yu, Siwei Wang, Yi Wen, Ziming Wang, Zhigang Luo, En Zhu, Xinwang Liu:
How to Construct Corresponding Anchors for Incomplete Multiview Clustering. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2845-2860 (2024) - [j92]Shengju Yu, Pei Zhang, Siwei Wang, Zhibin Dong, Hengfu Yang, En Zhu, Xinwang Liu:
Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning. IEEE Trans. Cybern. 54(11): 7024-7037 (2024) - [j91]Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu:
Fast Continual Multi-View Clustering With Incomplete Views. IEEE Trans. Image Process. 33: 2995-3008 (2024) - [j90]Siwei Wang, Xinwang Liu, Suyuan Liu, Wenxuan Tu, En Zhu:
Scalable and Structural Multi-View Graph Clustering With Adaptive Anchor Fusion. IEEE Trans. Image Process. 33: 4627-4639 (2024) - [j89]Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-supervised Node Classification. ACM Trans. Knowl. Discov. Data 18(7): 162 (2024) - [j88]Jiaxin Zhang, Yiqi Wang, Xihong Yang, En Zhu:
A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs. ACM Trans. Knowl. Discov. Data 18(7): 172 (2024) - [j87]Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu:
Robust and Consistent Anchor Graph Learning for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(8): 4207-4219 (2024) - [j86]Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, Xinzhong Zhu:
Fast Approximated Multiple Kernel K-Means. IEEE Trans. Knowl. Data Eng. 36(11): 6171-6180 (2024) - [j85]Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang:
Multiview Deep Anomaly Detection: A Systematic Exploration. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1651-1665 (2024) - [j84]Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li:
Local Sample-Weighted Multiple Kernel Clustering With Consensus Discriminative Graph. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1721-1734 (2024) - [j83]Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu:
Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2054-2065 (2024) - [j82]Suyuan Liu, Xinwang Liu, Siwei Wang, Xin Niu, En Zhu:
Fast Incomplete Multi-View Clustering With View-Independent Anchors. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7740-7751 (2024) - [j81]Zhenyu Zhou, Lei Luo, Sihang Zhou, Wang Li, Xihong Yang, Xinwang Liu, En Zhu:
Task-Related Saliency for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10751-10763 (2024) - [j80]Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Siwei Wang, Xinzhong Zhu, Xinwang Liu, En Zhu:
Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18272-18284 (2024) - [j79]Zhenyu Zhou, Qing Liao, Lei Luo, Xinwang Liu, En Zhu:
ProtoRefine: Enhancing Prototypes with Similar Structure in Few-Shot Learning. ACM Trans. Multim. Comput. Commun. Appl. 20(12): 383:1-383:24 (2024) - [c111]Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu:
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. AAAI 2024: 14017-14025 - [c110]Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu:
A Non-parametric Graph Clustering Framework for Multi-View Data. AAAI 2024: 16558-16567 - [c109]Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu:
DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering. AAAI 2024: 16568-16577 - [c108]Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu:
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering. CVPR 2024: 26151-26161 - [c107]Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu:
One-Step Late Fusion Multi-View Clustering with Compressed Subspace. ICASSP 2024: 7765-7769 - [c106]Weixuan Liang, En Zhu, Shengju Yu, Huiying Xu, Xinzhong Zhu, Xinwang Liu:
Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation. ICML 2024 - [c105]Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu:
Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information. ICML 2024 - [c104]Wei Zhang, En Zhu, Juan Chen, Yunpeng Li:
MDDR: Multi-modal Dual-Attention aggregation for Depression Recognition. ACM Multimedia 2024: 321-329 - [c103]Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu:
Test-Time Training on Graphs with Large Language Models (LLMs). ACM Multimedia 2024: 2089-2098 - [c102]Huimin Ma, Siwei Wang, Shengju Yu, Suyuan Liu, Junjie Huang, Huijun Wu, Xinwang Liu, En Zhu:
Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering. ACM Multimedia 2024: 5045-5054 - [c101]Xihong Yang, Erxue Min, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Huijun Wu, Xinwang Liu, En Zhu:
GraphLearner: Graph Node Clustering with Fully Learnable Augmentation. ACM Multimedia 2024: 5517-5526 - [c100]Fangdi Wang, Jiaqi Jin, Zhibin Dong, Xihong Yang, Yu Feng, Xinwang Liu, Xinzhong Zhu, Siwei Wang, Tianrui Liu, En Zhu:
View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering. ACM Multimedia 2024: 8431-8440 - [c99]Qian Qu, Xinhang Wan, Weixuan Liang, Jiyuan Liu, Yu Feng, Huiying Xu, Xinwang Liu, En Zhu:
A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering. ACM Multimedia 2024: 8652-8661 - [c98]Suyuan Liu, Siwei Wang, Ke Liang, Junpu Zhang, Zhibin Dong, Tianrui Liu, En Zhu, Xinwang Liu, Kunlun He:
Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering. NeurIPS 2024 - [c97]Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu:
Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering. NeurIPS 2024 - [i38]Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu:
One-Step Late Fusion Multi-view Clustering with Compressed Subspace. CoRR abs/2401.01558 (2024) - [i37]Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu:
Test-Time Training on Graphs with Large Language Models (LLMs). CoRR abs/2404.13571 (2024) - [i36]Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian:
Dual Test-time Training for Out-of-distribution Recommender System. CoRR abs/2407.15620 (2024) - [i35]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:
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. CoRR abs/2408.08231 (2024) - 2023
- [j78]Chang Tang, Xiao Zheng, Wei Zhang, Xinwang Liu, Xinzhong Zhu, En Zhu:
Unsupervised feature selection via multiple graph fusion and feature weight learning. Sci. China Inf. Sci. 66(5) (2023) - [j77]Wang Li, En Zhu, Siwei Wang, Xifeng Guo:
Graph Clustering with High-Order Contrastive Learning. Entropy 25(10): 1432 (2023) - [j76]Wentian Fan, Yingmei Chen, Jiquan Li, Chao Guo, En Zhu:
4-channel, 224Gb/s PAM-4 optical transmitter with group delay compensation in 130-nm BiCMOS technology. IEICE Electron. Express 20(20): 20230386 (2023) - [j75]Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu:
Multi-view clustering via matrix factorization assisted k-means. Neurocomputing 534: 45-54 (2023) - [j74]Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao:
E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2952-2969 (2023) - [j73]Wang Li, Siwei Wang, Xifeng Guo, En Zhu:
Deep graph clustering with multi-level subspace fusion. Pattern Recognit. 134: 109077 (2023) - [j72]Yuanwei Li, En Zhu, Hang Chen, Jiyong Tan, Li Shen:
Dense Crosstalk Feature Aggregation for Classification and Localization in Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2683-2695 (2023) - [j71]Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin:
Video Anomaly Detection via Visual Cloze Tests. IEEE Trans. Inf. Forensics Secur. 18: 4955-4969 (2023) - [j70]Zhenyu Zhou, Lei Luo, Qing Liao, Xinwang Liu, En Zhu:
Improving Embedding Generalization in Few-Shot Learning With Instance Neighbor Constraints. IEEE Trans. Image Process. 32: 5197-5208 (2023) - [j69]Tuanfei Zhu, Xinwang Liu, En Zhu:
Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning. IEEE Trans. Knowl. Data Eng. 35(6): 6167-6181 (2023) - [j68]Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu:
Unified One-Step Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. 35(6): 6449-6460 (2023) - [j67]Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu:
Multiple Kernel Clustering With Compressed Subspace Alignment. IEEE Trans. Neural Networks Learn. Syst. 34(1): 252-263 (2023) - [j66]Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu:
Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4359-4370 (2023) - [c96]Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. AAAI 2023: 7459-7467 - [c95]Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou:
Auto-Weighted Multi-View Clustering for Large-Scale Data. AAAI 2023: 10078-10086 - [c94]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu:
Cluster-Guided Contrastive Graph Clustering Network. AAAI 2023: 10834-10842 - [c93]Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo:
Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering. AAAI 2023: 11262-11269 - [c92]Wang Li, En Zhu, Siwei Wang, Xifeng Guo:
Attributed Graph Subspace Clustering with Graph-Boosting. ACML 2023: 723-738 - [c91]Linxuan Song, Siwei Wang, Sihang Zhou, En Zhu:
Iterative Encode-and-Decode Graph Neural Network. ADMA (4) 2023: 403-417 - [c90]Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu:
Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment. CVPR 2023: 11600-11609 - [c89]Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu:
Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering. ICCV 2023: 19383-19394 - [c88]Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai:
Consensus One-step Multi-view Subspace Clustering (Extended abstract). ICDE 2023: 3761-3762 - [c87]Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu:
Consistency of Multiple Kernel Clustering. ICML 2023: 20650-20676 - [c86]Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu:
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia 2023: 319-327 - [c85]Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu:
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. ACM Multimedia 2023: 337-346 - [c84]Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu:
Scalable Incomplete Multi-View Clustering with Structure Alignment. ACM Multimedia 2023: 3031-3040 - [i34]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu:
Cluster-guided Contrastive Graph Clustering Network. CoRR abs/2301.01098 (2023) - [i33]Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou:
Auto-weighted Multi-view Clustering for Large-scale Data. CoRR abs/2303.01983 (2023) - [i32]Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu:
GANN: Graph Alignment Neural Network for Semi-Supervised Learning. CoRR abs/2303.07778 (2023) - [i31]Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu:
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment. CoRR abs/2303.15689 (2023) - [i30]Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu:
Fast Continual Multi-View Clustering with Incomplete Views. CoRR abs/2306.02389 (2023) - [i29]Xinhang Wan, Jiyuan Liu, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, Li Shen, En Zhu:
One-step Multi-view Clustering with Diverse Representation. CoRR abs/2306.05437 (2023) - [i28]Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu:
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR abs/2308.08963 (2023) - [i27]Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu:
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. CoRR abs/2308.09000 (2023) - [i26]Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu:
Scalable Incomplete Multi-View Clustering with Structure Alignment. CoRR abs/2308.16541 (2023) - [i25]Xinhang Wan, Jiyuan Liu, Ao Li, Xinwang Liu, En Zhu:
Contrastive Continual Multi-view Clustering with Filtered Structural Fusion. CoRR abs/2309.15135 (2023) - [i24]Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu:
Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent. CoRR abs/2310.07166 (2023) - 2022
- [j65]Wang Li, Siwei Wang, Xifeng Guo, Zhenyu Zhou, En Zhu:
Auxiliary Graph for Attribute Graph Clustering. Entropy 24(10): 1409 (2022) - [j64]Xiao Zheng, Xinwang Liu, Jiajia Chen, En Zhu:
Adaptive partial graph learning and fusion for incomplete multi-view clustering. Int. J. Intell. Syst. 37(1): 991-1009 (2022) - [j63]Jun Wang, Chang Tang, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang:
Hyperspectral band selection via region-aware latent features fusion based clustering. Inf. Fusion 79: 162-173 (2022) - [j62]Sihang Zhou, Dong Nie, Ehsan Adeli, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen:
Semantic instance segmentation with discriminative deep supervision for medical images. Medical Image Anal. 82: 102626 (2022) - [j61]Hui Wang, Yingmei Chen, Baiping Wang, Lufeng Chen, Chao Guo, Wenxuan Hu, En Zhu, Jian Xu:
Design of a 24×28 gbaud tunable channel attenuator IC for PCB backplane transmission. Microelectron. J. 128: 105543 (2022) - [j60]Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu:
Graph regularized spatial-spectral subspace clustering for hyperspectral band selection. Neural Networks 153: 292-302 (2022) - [j59]Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu:
Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance. IEEE Trans. Image Process. 31: 556-568 (2022) - [j58]Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu:
High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering. IEEE Trans. Image Process. 31: 2067-2080 (2022) - [j57]Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu:
Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix. IEEE Trans. Knowl. Data Eng. 34(7): 3418-3430 (2022) - [j56]Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai:
Consensus One-Step Multi-View Subspace Clustering. IEEE Trans. Knowl. Data Eng. 34(10): 4676-4689 (2022) - [j55]Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu:
Consensus Graph Learning for Multi-View Clustering. IEEE Trans. Multim. 24: 2461-2472 (2022) - [j54]Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu:
Projective Multiple Kernel Subspace Clustering. IEEE Trans. Multim. 24: 2567-2579 (2022) - [c83]Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu:
Robust Graph-Based Multi-View Clustering. AAAI 2022: 7462-7469 - [c82]Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. AAAI 2022: 7603-7611 - [c81]Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu:
Fusion Multiple Kernel K-means. AAAI 2022: 9109-9117 - [c80]Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu:
Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. CVPR 2022: 9766-9775 - [c79]Jingtao Hu, Guang Yu, Siqi Wang, En Zhu, Zhiping Cai, Xinzhong Zhu:
Detecting Anomalous Events from Unlabeled Videos via Temporal Masked Auto-Encoding. ICME 2022: 1-6 - [c78]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng:
Initializing Then Refining: A Simple Graph Attribute Imputation Network. IJCAI 2022: 3494-3500 - [c77]Yi Zhang, Weixuan Liang, Xinwang Liu, Sisi Dai, Siwei Wang, Liyang Xu, En Zhu:
Sample Weighted Multiple Kernel K-means via Min-Max optimization. ACM Multimedia 2022: 1679-1687 - [c76]Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu:
Multiple Kernel Clustering with Dual Noise Minimization. ACM Multimedia 2022: 3440-3450 - [c75]Xinhang Wan, Jiyuan Liu, Weixuan Liang, Xinwang Liu, Yi Wen, En Zhu:
Continual Multi-view Clustering. ACM Multimedia 2022: 3676-3684 - [c74]Tiejian Zhang, Xinwang Liu, En Zhu, Sihang Zhou, Zhibin Dong:
Efficient Anchor Learning-based Multi-view Clustering - A Late Fusion Method. ACM Multimedia 2022: 3685-3693 - [c73]Fan Wang, Lei Luo, En Zhu, Siwei Wang:
Multi-object Tracking with a Hierarchical Single-Branch Network. MMM (2) 2022: 73-83 - [c72]Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu:
Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel. NeurIPS 2022 - [c71]Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu:
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences. NeurIPS 2022 - [i23]Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu:
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning. CoRR abs/2202.11915 (2022) - [i22]Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu:
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences. CoRR abs/2205.15075 (2022) - [i21]Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-Supervised Node Classification. CoRR abs/2206.02796 (2022) - [i20]Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li:
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph. CoRR abs/2207.02846 (2022) - [i19]Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu:
Multiple Kernel Clustering with Dual Noise Minimization. CoRR abs/2207.06041 (2022) - [i18]Siwei Wang, Xinwang Liu, En Zhu:
Late Fusion Multi-view Clustering via Global and Local Alignment Maximization. CoRR abs/2208.01198 (2022) - [i17]Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. CoRR abs/2212.00535 (2022) - [i16]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu:
Contrastive Deep Graph Clustering with Learnable Augmentation. CoRR abs/2212.03559 (2022) - 2021
- [j53]Qiyuan Ou, Long Gao, En Zhu:
Multiple Kernel k-Means With Low-Rank Neighborhood Kernel. IEEE Access 9: 3291-3300 (2021) - [j52]Zhen Cheng, En Zhu, Siqi Wang, Pei Zhang, Wang Li:
Unsupervised Outlier Detection via Transformation Invariant Autoencoder. IEEE Access 9: 43991-44002 (2021) - [j51]Zhen Cheng, Siwei Wang, Pei Zhang, Siqi Wang, Xinwang Liu, En Zhu:
Improved autoencoder for unsupervised anomaly detection. Int. J. Intell. Syst. 36(12): 7103-7125 (2021) - [j50]Yujing Zhang, Siwei Wang, Xinwang Liu, En Zhu:
Multiple kernel clustering with late fusion consensus local graph preserving. Int. J. Intell. Syst. 36(12): 7500-7521 (2021) - [j49]Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu:
Efficient and Effective Regularized Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2634-2646 (2021) - [j48]Wendi Wu, Yawei Zhao, En Zhu, Xinwang Liu, Xingxing Zhang, Lailong Luo, Shixiong Wang, Jianping Yin:
A Theoretical Revisit to Linear Convergence for Saddle Point Problems. ACM Trans. Intell. Syst. Technol. 12(1): 10:1-10:17 (2021) - [j47]Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. IEEE Trans. Knowl. Data Eng. 33(1): 259-270 (2021) - [j46]Yi Zhang, Miaomiao Li, Siwei Wang, Sisi Dai, Lei Luo, En Zhu, Huiying Xu, Xinzhong Zhu, Chaoyun Yao, Haoran Zhou:
Gaussian Mixture Model Clustering with Incomplete Data. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 6:1-6:14 (2021) - [c70]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. AAAI 2021: 9978-9987 - [c69]Yujing Zhang, Siwei Wang, En Zhu:
Unified and View-Specific Multiple Kernel K-Means Clustering. DEXA (1) 2021: 51-62 - [c68]Kaifan Hu, Chengkun Wu, En Zhu:
Efficient Distributed Stochastic Gradient Descent Through Gaussian Averaging. ICAIS (1) 2021: 41-52 - [c67]Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu:
Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data. ICME 2021: 1-6 - [c66]Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu:
One Pass Late Fusion Multi-view Clustering. ICML 2021: 6850-6859 - [c65]Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya:
Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. IJCAI 2021: 3038-3044 - [c64]Yi Zhang, Xinwang Liu, Siwei Wang, Jiyuan Liu, Sisi Dai, En Zhu:
One-Stage Incomplete Multi-view Clustering via Late Fusion. ACM Multimedia 2021: 2717-2725 - [c63]Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang:
Scalable Multi-view Subspace Clustering with Unified Anchors. ACM Multimedia 2021: 3528-3536 - [c62]Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang:
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. ACM Multimedia 2021: 4156-4164 - [c61]Fan Wang, Lei Luo, En Zhu:
Two-Stage Real-Time Multi-object Tracking with Candidate Selection. MMM (2) 2021: 49-61 - [i15]Fan Wang, Lei Luo, En Zhu, Siwei Wang, Jun Long:
Multi-object Tracking with a Hierarchical Single-branch Network. CoRR abs/2101.01984 (2021) - [i14]Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu:
Deep Distribution-preserving Incomplete Clustering with Optimal Transport. CoRR abs/2103.11424 (2021) - [i13]Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin:
Multi-view Deep One-class Classification: A Systematic Exploration. CoRR abs/2104.13000 (2021) - [i12]Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang:
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. CoRR abs/2105.00277 (2021) - [i11]Siqi Wang, Guang Yu, Zhiping Cai, En Zhu, Xinwang Liu, Jianping Yin, Chengzhang Zhu:
Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos. CoRR abs/2108.01975 (2021) - [i10]Siqi Wang, Guang Yu, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin, Qing Liao:
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests. CoRR abs/2108.02356 (2021) - [i9]Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. CoRR abs/2112.14772 (2021) - 2020
- [j45]Qiyuan Ou, Siwei Wang, Sihang Zhou, Miaomiao Li, Xifeng Guo, En Zhu:
Anchor-Based Multiview Subspace Clustering With Diversity Regularization. IEEE Multim. 27(4): 91-101 (2020) - [j44]Sihang Zhou, En Zhu, Xinwang Liu, Tianming Zheng, Qiang Liu, Jingyuan Xia, Jianping Yin:
Subspace segmentation-based robust multiple kernel clustering. Inf. Fusion 53: 145-154 (2020) - [j43]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao:
Multiple Kernel $k$k-Means with Incomplete Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1191-1204 (2020) - [j42]Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin:
Absent Multiple Kernel Learning Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1303-1316 (2020) - [j41]Pei Zhang, Siwei Wang, Jingtao Hu, Zhen Cheng, Xifeng Guo, En Zhu, Zhiping Cai:
Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering. Sensors 20(20): 5755 (2020) - [j40]Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin:
Understand Dynamic Regret with Switching Cost for Online Decision Making. ACM Trans. Intell. Syst. Technol. 11(3): 28:1-28:21 (2020) - [j39]Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin:
Adaptive Self-Paced Deep Clustering with Data Augmentation. IEEE Trans. Knowl. Data Eng. 32(9): 1680-1693 (2020) - [j38]Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin:
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1351-1362 (2020) - [c60]Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao:
CGD: Multi-View Clustering via Cross-View Graph Diffusion. AAAI 2020: 5924-5931 - [c59]Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin, Wen Gao:
Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix. AAAI 2020: 6965-6972 - [c58]Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya:
R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. AAAI 2020: 12063-12070 - [c57]Xifeng Guo, Jiyuan Liu, Sihang Zhou, En Zhu, Shihao Dong:
Image Representation Learning by Transformation Regression. ICPR 2020: 526-533 - [c56]Fan Wang, En Zhu, Lei Luo, Jun Long:
Multi-object Tracking Combines Motion and Visual Information. MDAI 2020: 166-178 - [c55]Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, Marius Kloft:
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. ACM Multimedia 2020: 583-591 - [i8]Xinwang Liu, En Zhu, Jiyuan Liu, Timothy M. Hospedales, Yang Wang, Meng Wang:
SimpleMKKM: Simple Multiple Kernel K-means. CoRR abs/2005.04975 (2020) - [i7]Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, Marius Kloft:
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. CoRR abs/2008.11988 (2020) - [i6]Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu:
Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix. CoRR abs/2008.13539 (2020) - [i5]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. CoRR abs/2012.09600 (2020)
2010 – 2019
- 2019
- [j37]Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu:
Efficient Multiple Kernel k-Means Clustering With Late Fusion. IEEE Access 7: 61109-61120 (2019) - [j36]Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin:
K-Means Clustering With Incomplete Data. IEEE Access 7: 69162-69171 (2019) - [j35]Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai:
Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization. IEEE Access 7: 136322-136331 (2019) - [j34]Jiaming Xu, En Zhu:
Learning Bias-Free Representation for Large-Scale Person Re-Identification. IEEE Access 7: 143331-143346 (2019) - [j33]Yuewei Ming, En Zhu, Mao Wang, Qiang Liu, Xinwang Liu, Jianping Yin:
Scalable k-means for large-scale clustering. Intell. Data Anal. 23(4): 825-838 (2019) - [j32]Siqi Wang, Qiang Liu, Xifeng Guo, En Zhu, Jianping Yin:
Fast and unsupervised outlier removal by recurrent adaptive reconstruction extreme learning machine. Int. J. Mach. Learn. Cybern. 10(12): 3539-3556 (2019) - [j31]Junbo Ma, Ruili Wang, Wanting Ji, Hao Zheng, En Zhu, Jianping Yin:
Relational recurrent neural networks for polyphonic sound event detection. Multim. Tools Appl. 78(20): 29509-29527 (2019) - [j30]Jingtao Hu, En Zhu, Siqi Wang, Xinwang Liu, Xifeng Guo, Jianping Yin:
An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos. Sensors 19(19): 4145 (2019) - [j29]Yawei Zhao, Kai Xu, En Zhu, Xinwang Liu, Xinzhong Zhu, Jianping Yin:
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. IEEE Trans. Knowl. Data Eng. 31(8): 1610-1623 (2019) - [c54]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao:
Efficient and Effective Incomplete Multi-View Clustering. AAAI 2019: 4392-4399 - [c53]Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang:
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. AAAI 2019: 5313-5320 - [c52]Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Affine Equivariant Autoencoder. IJCAI 2019: 2413-2419 - [c51]Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin:
Multi-view Clustering via Late Fusion Alignment Maximization. IJCAI 2019: 3778-3784 - [c50]Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jianping Yin:
Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression. IJCNN 2019: 1-8 - [c49]Siqi Wang, Yijie Zeng, Xinwang Liu, En Zhu, Jianping Yin, Chuanfu Xu, Marius Kloft:
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network. NeurIPS 2019: 5960-5973 - [i4]Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. CoRR abs/1908.01384 (2019) - [i3]Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin:
Understand Dynamic Regret with Switching Cost for Online Decision Making. CoRR abs/1911.12595 (2019) - 2018
- [j28]Mao Wang, En Zhu, Qiang Liu, Yongkai Ye, Yuewei Ming, Jianping Yin:
Intensity Filtering and Group Fusion for Accurate Mobile Place Recognition. IEEE Access 6: 31088-31098 (2018) - [j27]Jingming Xue, En Zhu, Qiang Liu, Jianping Yin:
Group Recommendation Based on Financial Social Network for Robo-Advisor. IEEE Access 6: 54527-54535 (2018) - [j26]Chuanli Wang, En Zhu, Xinwang Liu, Long Gao, Jianping Yin, Ning Hu:
Multiple Kernel Clustering With Global and Local Structure Alignment. IEEE Access 6: 77911-77920 (2018) - [j25]Mao Wang, Lili Zhao, Yuewei Ming, En Zhu, Jianping Yin:
Boosting landmark retrieval baseline with burstiness detection. IET Comput. Vis. 12(3): 312-321 (2018) - [j24]Long Gao, Jianping Yin, En Zhu, Tianhang Liu, Wei Chen, Minghui Qiu:
Mechanical amelioration to improve hexapod robot speed. Int. J. Embed. Syst. 10(3): 217-224 (2018) - [j23]Siqi Wang, En Zhu, Jianping Yin, Fatih Porikli:
Video anomaly detection and localization by local motion based joint video representation and OCELM. Neurocomputing 277: 161-175 (2018) - [j22]Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin:
Large-scale k-means clustering via variance reduction. Neurocomputing 307: 184-194 (2018) - [j21]Yuewei Ming, En Zhu, Mao Wang, Yongkai Ye, Xinwang Liu, Jianping Yin:
DMP-ELMs: Data and model parallel extreme learning machines for large-scale learning tasks. Neurocomputing 320: 85-97 (2018) - [j20]Xifeng Guo, En Zhu, Jianping Yin:
A fast and accurate method for detecting fingerprint reference point. Neural Comput. Appl. 29(1): 21-31 (2018) - [j19]Siqi Wang, Qiang Liu, En Zhu, Fatih Porikli, Jianping Yin:
Hyperparameter selection of one-class support vector machine by self-adaptive data shifting. Pattern Recognit. 74: 198-211 (2018) - [c48]Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Deep Embedding for Determining the Number of Clusters. AAAI 2018: 8173-8174 - [c47]Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin:
Variance Reduced K-Means Clustering. AAAI 2018: 8187-8188 - [c46]Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Deep Embedded Clustering with Data Augmentation. ACML 2018: 550-565 - [c45]Jingming Xue, En Zhu, Qiang Liu, Chuanli Wang, Jianping Yin:
A Joint Approach to Data Clustering and Robo-Advisor. ICCCS (1) 2018: 97-109 - [c44]Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao:
Localized Incomplete Multiple Kernel k-means. IJCAI 2018: 3271-3277 - [c43]Siqi Wang, Yijie Zeng, Qiang Liu, Chengzhang Zhu, En Zhu, Jianping Yin:
Detecting Abnormality without Knowing Normality: A Two-stage Approach for Unsupervised Video Abnormal Event Detection. ACM Multimedia 2018: 636-644 - [c42]Haohao Chen, En Zhu, Xinwang Liu, Junnan Zhang, Jianping Yin:
A Kernel Method with Manifold Regularization for Interactive Segmentation. NCTCS 2018: 141-149 - [c41]Junnan Zhang, En Zhu, Xifeng Guo, Haohao Chen, Jianping Yin:
Chronic Wounds Image Generator Based on Deep Convolutional Generative Adversarial Networks. NCTCS 2018: 150-158 - [c40]Yiqi Wang, En Zhu, Qiang Liu, Yingwen Chen, Jianping Yin:
Exploration of Human Activities Using Sensing Data via Deep Embedded Determination. WASA 2018: 473-484 - [i2]Yawei Zhao, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, Jianping Yin:
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. CoRR abs/1808.06556 (2018) - [i1]Yawei Zhao, En Zhu, Xinwang Liu, Jianping Yin:
Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit. CoRR abs/1812.10186 (2018) - 2017
- [j18]En Zhu, Qiang Liu, Jianping Yin:
Coupled Multiple Kernel Learning for Supervised Classification. Comput. Informatics 36(3): 618-636 (2017) - [j17]En Zhu, Yuanwei Li, Yanling Shi:
Fast Optical Flow Estimation Without Parallel Architectures. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2322-2332 (2017) - [j16]Siqi Wang, Qiang Liu, En Zhu, Jianping Yin, Wentao Zhao:
MST-GEN: An Efficient Parameter Selection Method for One-Class Extreme Learning Machine. IEEE Trans. Cybern. 47(10): 3266-3279 (2017) - [c39]Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel k-Means with Incomplete Kernels. AAAI 2017: 2259-2265 - [c38]Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin:
Optimal Neighborhood Kernel Clustering with Multiple Kernels. AAAI 2017: 2266-2272 - [c37]Xiaohui Liu, Changjian Wang, Fangzhao Li, Xiang Zhao, En Zhu, Yuxing Peng:
A framework of wound segmentation based on deep convolutional networks. CISP-BMEI 2017: 1-7 - [c36]Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Deep Clustering with Convolutional Autoencoders. ICONIP (2) 2017: 373-382 - [c35]Wanpeng Yin, En Zhu, Xinzhong Zhu, Jianping Yin:
Landmark-Based Spectral Clustering with Local Similarity Representation. NCTCS 2017: 198-207 - [e1]Ding-Zhu Du, Lian Li, En Zhu, Kun He:
Theoretical Computer Science - 35th National Conference, NCTCS 2017, Wuhan, China, October 14-15, 2017, Proceedings. Communications in Computer and Information Science 768, Springer 2017, ISBN 978-981-10-6892-8 [contents] - 2016
- [j15]Lili Zhao, Kuan Li, Mao Wang, Jianping Yin, En Zhu, Chengkun Wu, Siqi Wang, Chengzhang Zhu:
Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF. Comput. Biol. Medicine 71: 46-56 (2016) - [j14]Xifeng Guo, En Zhu, Sihang Zhou, Xiaolong Shen, Jianping Yin:
一种基于交点权重图的指纹焦点检测方法 (Fingerprint Focal Point Detection Method Based on Map of Cross Points' Weights). 计算机科学 43(2): 35-37 (2016) - [j13]En Zhu, Xifeng Guo, Jianping Yin:
Walking to singular points of fingerprints. Pattern Recognit. 56: 116-128 (2016) - [c34]Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu:
Multiple Kernel k-Means Clustering with Matrix-Induced Regularization. AAAI 2016: 1888-1894 - [c33]Siqi Wang, Lili Zhao, En Zhu, Jianping Yin, Heling Yang:
Ensemble One-Class Extreme Learning Machine Based on Overlapping Data Partition. ICCSIP 2016: 408-416 - [c32]Yongkai Ye, Xinwang Liu, Jianping Yin, En Zhu:
Co-regularized kernel k-means for multi-view clustering. ICPR 2016: 1583-1588 - [c31]Wei Chen, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Appearance changes detection during tracking. ICPR 2016: 1821-1826 - [c30]Siqi Wang, En Zhu, Jianping Yin, Fatih Porikli:
Anomaly detection in crowded scenes by SL-HOF descriptor and foreground classification. ICPR 2016: 3398-3403 - [c29]Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel Clustering with Local Kernel Alignment Maximization. IJCAI 2016: 1704-1710 - [c28]Siqi Wang, En Zhu, Jianping Yin:
Video anomaly detection based on ULGP-OF descriptor and one-class ELM. IJCNN 2016: 2630-2637 - 2015
- [j12]Jianxin Wang, En Zhu:
Background pretruncated method for JPEG2000 region of interest coding. J. Electronic Imaging 24(3): 033019 (2015) - [c27]Chenyu Xu, Jinlong Peng, En Zhu, Yuxin Zou:
An optimized structure on FPGA of key point description in SIFT algorithm. ICMV 2015: 987519 - 2014
- [j11]Yuanwei Li, En Zhu, Xinzhong Zhu, Jianping Yin, Jianmin Zhao:
Counting Pedestrian with Mixed Features and Extreme Learning Machine. Cogn. Comput. 6(3): 462-476 (2014) - [j10]Yuanwei Li, En Zhu, Jianmin Zhao, Jianping Yin, Xiangfu Zhao:
A Fast Simple Optical Flow Computation Approach Based on the 3-D Gradient. IEEE Trans. Circuits Syst. Video Technol. 24(5): 842-853 (2014) - 2013
- [j9]Xinwang Liu, Lei Wang, Jianping Yin, En Zhu, Jian Zhang:
An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning. IEEE Trans. Cybern. 43(2): 557-569 (2013) - 2012
- [j8]Ning Huang, En Zhu:
A new mechanism for SOC scan test scheduling. IEICE Electron. Express 9(11): 932-937 (2012) - [j7]Ning Huang, En Zhu:
Scan power reduction based on clock-gating. IEICE Electron. Express 9(12): 1018-1022 (2012) - 2011
- [c26]En Zhu, Edwin R. Hancock, Jianping Yin, Jianming Zhang, Huiyao An:
Fusion of Multiple Candidate Orientations in Fingerprints. ICIAR (2) 2011: 89-100 - 2010
- [c25]En Zhu, Edwin R. Hancock, Peng Ren, Jianping Yin, Jianming Zhang:
Associating Minutiae between Distorted Fingerprints Using Minimal Spanning Tree. ICIAR (2) 2010: 235-245 - [c24]Chunfeng Hu, Jianping Yin, En Zhu, Hui Chen, Yong Li:
A composite fingerprint segmentation based on Log-Gabor filter and orientation reliability. ICIP 2010: 3097-3100
2000 – 2009
- 2009
- [c23]Chengkun Wu, Jianping Yin, Zhiping Cai, En Zhu, Jieren Cheng:
A Hybrid Parallel Signature Matching Model for Network Security Applications Using SIMD GPU. APPT 2009: 191-204 - [c22]Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang:
A Max-Margin Learning Algorithm with Additional Features. FAW 2009: 196-206 - [c21]Guomin Zhang, En Zhu, Ling Mao, Ming Yin:
A Bit-Parallel Exact String Matching Algorithm for Small Alphabet. FAW 2009: 336-345 - [c20]Chengkun Wu, Jianping Yin, Zhiping Cai, En Zhu, Jieren Cheng:
An Efficient Pre-filtering Mechanism for Parallel Intrusion Detection Based on Many-Core GPU. FGIT-SecTech 2009: 298-305 - [c19]Yong Li, Jianping Yin, Jun Long, En Zhu:
A Novel Method for Multibiometric Fusion Based on FAR and FRR. MDAI 2009: 194-204 - [c18]Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li:
A Large Margin Classifier with Additional Features. MLDM 2009: 82-95 - 2008
- [j6]Jun Long, Jianping Yin, En Zhu, Wentao Zhao:
Active Learning with Misclassification Sampling Based on Committee. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(Supplement-1): 55-70 (2008) - [c17]Yongan Wu, Min Li, Zhiping Cai, En Zhu:
A Distributed Algorithm to Approximate Node-Weighted Minimum alpha-Connected (Theta, k)-Coverage in Dense Sensor Networks. FAW 2008: 221-232 - [c16]Wentao Zhao, Jun Long, En Zhu, Yun Liu:
A Scalable Algorithm for Graph-Based Active Learning. FAW 2008: 311-322 - [c15]Xinwang Liu, Guomin Zhang, Yubin Zhan, En Zhu:
An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine. FAW 2008: 330-338 - [c14]Yong Li, Jianping Yin, En Zhu, Chunfeng Hu, Hui Chen:
Score Based Biometric Template Selection and Update. FGCN (3: BSBT) 2008: 35-40 - [c13]Guomin Zhang, Jianping Yin, En Zhu, Ling Mao:
On the Partition Cells Formed by Hyperspheres. ICNC (3) 2008: 495-499 - [c12]Chunfeng Hu, Jianping Yin, En Zhu, Hui Chen, Yong Li:
Fingerprint alignment using special ridges. ICPR 2008: 1-4 - [c11]Yong Li, Jianping Yin, En Zhu, Chunfeng Hu, Hui Chen:
Score based biometric template selection. ICPR 2008: 1-4 - [c10]Guomin Zhang, Jianping Yin, En Zhu, Ling Mao:
On the Selection of Multi Optimal Imaging Frames in Single Time Slot for Earth Observation Satellite. ICYCS 2008: 791-796 - [c9]Yubin Zhan, Jianping Yin, Guomin Zhang, En Zhu:
Incremental Manifold Learning Algorithm Using PCA on Overlapping Local Neighborhoods for Dimensionality Reduction. ISICA 2008: 406-415 - [c8]Jun Long, Jianping Yin, Wentao Zhao, En Zhu:
Graph-Based Active Learning Based on Label Propagation. MDAI 2008: 179-190 - [c7]Jun Long, Jianping Yin, En Zhu, Wentao Zhao:
Active Learning with Misclassification Sampling Using Diverse Ensembles Enhanced by Unlabeled Instances. PAKDD 2008: 951-957 - 2007
- [j5]Jianping Yin, En Zhu, Xuejun Yang, Guomin Zhang, Chunfeng Hu:
Two steps for fingerprint segmentation. Image Vis. Comput. 25(9): 1391-1403 (2007) - [c6]Jun Long, Jianping Yin, En Zhu:
An Active Learning Method Based on Most Possible Misclassification Sampling Using Committee. MDAI 2007: 104-113 - 2006
- [j4]En Zhu, Jianping Yin, Guomin Zhang, Chunfeng Hu:
A Gabor Filter Based Fingerprint Enhancement Scheme Using Average Frequency. Int. J. Pattern Recognit. Artif. Intell. 20(3): 417-430 (2006) - [j3]En Zhu, Jianping Yin, Chunfeng Hu, Guomin Zhang:
A systematic method for fingerprint ridge orientation estimation and image segmentation. Pattern Recognit. 39(8): 1452-1472 (2006) - [c5]En Zhu, Jianping Yin, Chunfeng Hu, Guomin Zhang, Jianming Zhang:
Excluding the Remaining Ridges of Fingerprint Image. VISAPP (1) 2006: 346-353 - 2005
- [j2]En Zhu, Jianping Yin, Guomin Zhang, Chunfeng Hu:
Fingerprint Minutiae Relationship Representation and Matching Based on Curve Coordinate System. Int. J. Image Graph. 5(4): 729-744 (2005) - [j1]En Zhu, Jianping Yin, Guomin Zhang:
Fingerprint matching based on global alignment of multiple reference minutiae. Pattern Recognit. 38(10): 1685-1694 (2005) - [c4]En Zhu, Jianping Yin, Chunfeng Hu, Guomin Zhang:
Quality Estimation of Fingerprint Image Based on Neural Network. ICNC (2) 2005: 65-70 - 2004
- [c3]En Zhu, Jianping Yin, Guomin Zhang:
Fingerprint Enhancement Using Circular Gabor Filter. ICIAR (2) 2004: 750-758 - 2003
- [c2]Ting Huang, Zhigong Wang, En Zhu, Xiaoming Wang, Mingzhen Xiong:
24 Gb/s laser/modulator driver IC using 0.2μm gate length PHEMTs. ESSCIRC 2003: 277-280 - [c1]Wen-Hu Zhao, Zhi-Gong Wang, En Zhu:
A 3.125-Gb/s CMOS word alignment demultiplexer for serial data communications. ESSCIRC 2003: 389-392
Coauthor Index
[j108] [j107] [j106] [j105] [j104] [j103] [j102] [j101] [j100] [j99] [c113] [c112] [i39] [j95] [j93] [j92] [j91] [j90] [j89] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [c111] [c109] [c108] [c106] [c105] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [i37] [i36] [i35] [j78] [j75] [j74] [j71] [j70] [j69] [j68] [j67] [j66] [c95] [c94] [c93] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [j64] [j63] [j62] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [c83] [c82] [c81] [c80] [c78] [c77] [c76] [c75] [c74] [c72] [c71] [i23] [i22] [i21] [i20] [i19] [i18] [i16] [j51] [j50] [j49] [j48] [j47] [c70] [c67] [c66] [c65] [c64] [c63] [c62] [i14] [i13] [i12] [i11] [i10] [i9] [j44] [j43] [j42] [j40] [j39] [j38] [c60] [c59] [c58] [i8] [i6] [i5] [j37] [j36] [j35] [j33] [j30] [j29] [c54] [c53] [c52] [c51] [c50] [c49] [i4] [i3] [j26] [j22] [j21] [c48] [c47] [c46] [c44] [c42] [i2] [i1] [c39] [c38] [c36] [c34] [c32] [c31] [c29] [j9] [c22] [c18] [c15]
[j107] [j105] [j104] [j103] [j102] [j99] [c113] [c112] [i39] [j96] [j93] [j92] [j90] [j87] [j84] [j82] [j80] [c111] [c110] [c109] [c108] [c105] [c103] [c102] [c101] [c100] [c98] [c97] [i37] [j77] [j73] [j67] [j66] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c86] [c85] [c84] [i34] [i33] [i31] [i29] [i28] [i27] [i26] [i24] [j65] [j59] [j57] [j54] [c83] [c80] [c77] [c76] [c73] [c72] [c71] [i22] [i20] [i19] [i18] [i17] [i16] [j51] [j50] [j46] [c69] [c66] [c64] [c63] [c62] [i15] [i14] [i12] [j45] [j41] [i6] [j37] [j36] [j35] [c51] [c50]
[j85] [j74] [j71] [j67] [j62] [j48] [j47] [i13] [i11] [i10] [j44] [j43] [j42] [j40] [j39] [j38] [c59] [c55] [i7] [j36] [j33] [j32] [j31] [j30] [j29] [c54] [c53] [c52] [c51] [c50] [c49] [i4] [i3] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [i2] [i1] [j18] [j16] [c39] [c38] [c36] [c35] [j15] [j14] [j13] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [j11] [j10] [j9] [c26] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [j6] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [j5] [c6] [j4] [j3] [c5] [j2] [j1] [c4] [c3]
[j96] [j94] [j89] [j85] [j83] [j81] [c108] [c107] [c101] [i38] [j74] [j67] [j66] [c94] [c91] [c88] [c86] [c85] [i34] [i32] [i28] [i27] [i24] [j62] [j57] [j56] [j54] [c83] [c82] [c80] [c78] [c74] [c72] [i23] [i21] [i16] [c70] [c63] [c62] [i14] [i13] [i12] [i9] [j45] [j44] [j38] [c59] [c57] [i6] [i5] [c38] [j14]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-24 01:09 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
