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2020 – today
- 2024
[j94]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)- [j93]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) - [j92]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) - [j91]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) - [j90]Linxuan Song, Wenxuan Tu, Sihang Zhou, En Zhu:
GANN: Graph Alignment Neural Network for semi-supervised learning. Pattern Recognit. 154: 110484 (2024) - [j89]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) - [j88]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) - [j87]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) - [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]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) - [j79]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) - [c109]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 - [c108]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 - [c107]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 - [c106]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 - [c105]Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu:
One-Step Late Fusion Multi-View Clustering with Compressed Subspace. ICASSP 2024: 7765-7769 - [c104]Weixuan Liang, En Zhu, Shengju Yu, Huiying Xu, Xinzhong Zhu, Xinwang Liu:
Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation. ICML 2024 - [c103]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 - [c102]Wei Zhang, En Zhu, Juan Chen, YunPeng Li:
MDDR: Multi-modal Dual-Attention aggregation for Depression Recognition. ACM Multimedia 2024: 321-329 - [c101]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 - [c100]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 - [c99]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 - [c98]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 - [c97]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 - [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
[j91] [j89] [j88] [j87] [j86] [j84] [j83] [j82] [j81] [j80] [j79] [c109] [c107] [c106] [c104] [c103] [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]
[j92] [j89] [j87] [j82] [j80] [c109] [c108] [c107] [c106] [c103] [c101] [c100] [c99] [c98] [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]
[j83] [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]
[j92] [j90] [j86] [j83] [j81] [j79] [c106] [c105] [c99] [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]
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