En Zhu

According to our database, En Zhu authored at least 219 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fast Approximated Multiple Kernel K-Means.

Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, Xinzhong Zhu

IEEE Trans. Knowl. Data Eng., November, 2024

Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning.

Shengju Yu, Pei Zhang, Siwei Wang, Zhibin Dong, Hengfu Yang, En Zhu, Xinwang Liu

IEEE Trans. Cybern., November, 2024

On the Consistency and Large-Scale Extension of Multiple Kernel Clustering.

Weixuan Liang, Chang Tang, Xinwang Liu, Yong Liu, Jiyuan Liu, En Zhu, Kunlun He

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Task-Related Saliency for Few-Shot Image Classification.

Zhenyu Zhou, Lei Luo, Sihang Zhou, Wang Li, Xihong Yang, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs.

Jiaxin Zhang, Yiqi Wang, Xihong Yang, En Zhu

ACM Trans. Knowl. Discov. Data, August, 2024

Mixed Graph Contrastive Network for Semi-supervised Node Classification.

Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu

ACM Trans. Knowl. Discov. Data, August, 2024

Fast Incomplete Multi-View Clustering With View-Independent Anchors.

Suyuan Liu, Xinwang Liu, Siwei Wang, Xin Niu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., June, 2024

How to Construct Corresponding Anchors for Incomplete Multiview Clustering.

Shengju Yu, Siwei Wang, Yi Wen, Ziming Wang, Zhigang Luo, En Zhu, Xinwang Liu

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning.

Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Multiview Deep Anomaly Detection: A Systematic Exploration.

Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Local Sample-Weighted Multiple Kernel Clustering With Consensus Discriminative Graph.

Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Global and cross-modal feature aggregation for multi-omics data classification and application on drug response prediction.

Xiao Zheng, Minhui Wang, Kai Huang, En Zhu

Inf. Fusion, February, 2024

A 2-20 Gbps Clock and Data Recovery Based on Phase Interpolation and Delay Locked Loop.

Yinghao Chen, Yingmei Chen, Wentian Fan, Qingyi Zhao, En Zhu, Zhengfei Hu

Circuits Syst. Signal Process., January, 2024

Scalable and Structural Multi-View Graph Clustering With Adaptive Anchor Fusion.

Siwei Wang, Xinwang Liu, Suyuan Liu, Wenxuan Tu, En Zhu

IEEE Trans. Image Process., 2024

Fast Continual Multi-View Clustering With Incomplete Views.

Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu

IEEE Trans. Image Process., 2024

GANN: Graph Alignment Neural Network for semi-supervised learning.

Linxuan Song, Wenxuan Tu, Sihang Zhou, En Zhu

Pattern Recognit., 2024

Anchor-based multi-view subspace clustering with hierarchical feature descent.

Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu

Inf. Fusion, 2024

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.

Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min

CoRR, 2024

Dual Test-time Training for Out-of-distribution Recommender System.

Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian

CoRR, 2024

MDDR: Multi-modal Dual-Attention aggregation for Depression Recognition.

Wei Zhang, En Zhu, Juan Chen, YunPeng Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Test-Time Training on Graphs with Large Language Models (LLMs).

Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation.

Xihong Yang, Erxue Min, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Huijun Wu, Xinwang Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering.

Fangdi Wang, Jiaqi Jin, Zhibin Dong, Xihong Yang, Yu Feng, Xinwang Liu, Xinzhong Zhu, Siwei Wang, Tianrui Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering.

Qian Qu, Xinhang Wan, Weixuan Liang, Jiyuan Liu, Yu Feng, Huiying Xu, Xinwang Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering.

Huimin Ma, Siwei Wang, Shengju Yu, Suyuan Liu, Junjie Huang, Huijun Wu, Xinwang Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information.

Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation.

Weixuan Liang, En Zhu, Shengju Yu, Huiying Xu, Xinzhong Zhu, Xinwang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

One-Step Late Fusion Multi-View Clustering with Compressed Subspace.

Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu

Proceedings of the IEEE International Conference on Acoustics, 2024

Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering.

Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Non-parametric Graph Clustering Framework for Multi-View Data.

Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering.

Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering.

Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph Clustering with High-Order Contrastive Learning.

Wang Li, En Zhu, Siwei Wang, Xifeng Guo

Entropy, October, 2023

Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement.

Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning.

Tuanfei Zhu, Xinwang Liu, En Zhu

IEEE Trans. Knowl. Data Eng., June, 2023

Unified One-Step Multi-View Spectral Clustering.

Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu

IEEE Trans. Knowl. Data Eng., June, 2023

Dense Crosstalk Feature Aggregation for Classification and Localization in Object Detection.

Yuanwei Li, En Zhu, Hang Chen, Jiyong Tan, Li Shen

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Unsupervised feature selection via multiple graph fusion and feature weight learning.

Chang Tang, Xiao Zheng, Wei Zhang, Xinwang Liu, Xinzhong Zhu, En Zhu

Sci. China Inf. Sci., May, 2023

E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection.

Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Multiple Kernel Clustering With Compressed Subspace Alignment.

Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu

IEEE Trans. Neural Networks Learn. Syst., 2023

Improving Embedding Generalization in Few-Shot Learning With Instance Neighbor Constraints.

Zhenyu Zhou, Lei Luo, Qing Liao, Xinwang Liu, En Zhu

IEEE Trans. Image Process., 2023

Video Anomaly Detection via Visual Cloze Tests.

Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin

IEEE Trans. Inf. Forensics Secur., 2023

Deep graph clustering with multi-level subspace fusion.

Wang Li, Siwei Wang, Xifeng Guo, En Zhu

Pattern Recognit., 2023

Multi-view clustering via matrix factorization assisted <i>k</i>-means.

Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu

Neurocomputing, 2023

4-channel, 224Gb/s PAM-4 optical transmitter with group delay compensation in 130-nm BiCMOS technology.

Wentian Fan, Yingmei Chen, Jiquan Li, Chao Guo, En Zhu

IEICE Electron. Express, 2023

Contrastive Continual Multi-view Clustering with Filtered Structural Fusion.

Xinhang Wan, Jiyuan Liu, Ao Li, Xinwang Liu, En Zhu

CoRR, 2023

One-step Multi-view Clustering with Diverse Representation.

Xinhang Wan, Jiyuan Liu, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, Li Shen, En Zhu

CoRR, 2023

GANN: Graph Alignment Neural Network for Semi-Supervised Learning.

Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2023

CONVERT: Contrastive Graph Clustering with Reliable Augmentation.

Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering.

Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Scalable Incomplete Multi-View Clustering with Structure Alignment.

Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Consistency of Multiple Kernel Clustering.

Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu

Proceedings of the International Conference on Machine Learning, 2023

Consensus One-step Multi-view Subspace Clustering (Extended abstract).

Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering.

Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment.

Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Iterative Encode-and-Decode Graph Neural Network.

Linxuan Song, Siwei Wang, Sihang Zhou, En Zhu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Attributed Graph Subspace Clustering with Graph-Boosting.

Wang Li, En Zhu, Siwei Wang, Xifeng Guo

Proceedings of the Asian Conference on Machine Learning, 2023

Cluster-Guided Contrastive Graph Clustering Network.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Auto-Weighted Multi-View Clustering for Large-Scale Data.

Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View.

Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering.

Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Projective Multiple Kernel Subspace Clustering.

Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu

IEEE Trans. Multim., 2022

Consensus Graph Learning for Multi-View Clustering.

Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu

IEEE Trans. Multim., 2022

Consensus One-Step Multi-View Subspace Clustering.

Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai

IEEE Trans. Knowl. Data Eng., 2022

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix.

Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu

IEEE Trans. Knowl. Data Eng., 2022

Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance.

Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu

IEEE Trans. Image Process., 2022

High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering.

Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu

IEEE Trans. Image Process., 2022

Graph regularized spatial-spectral subspace clustering for hyperspectral band selection.

Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu

Neural Networks, 2022

Design of a 24×28 gbaud tunable channel attenuator IC for PCB backplane transmission.

Hui Wang, Yingmei Chen, Baiping Wang, Lufeng Chen, Chao Guo, Wenxuan Hu, En Zhu, Jian Xu

Microelectron. J., 2022

Semantic instance segmentation with discriminative deep supervision for medical images.

Sihang Zhou, Dong Nie, Ehsan Adeli, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen

Medical Image Anal., 2022

Hyperspectral band selection via region-aware latent features fusion based clustering.

Jun Wang, Chang Tang, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang

Inf. Fusion, 2022

Adaptive partial graph learning and fusion for incomplete multi-view clustering.

Xiao Zheng, Xinwang Liu, Jiajia Chen, En Zhu

Int. J. Intell. Syst., 2022

Auxiliary Graph for Attribute Graph Clustering.

Wang Li, Siwei Wang, Xifeng Guo, Zhenyu Zhou, En Zhu

Entropy, 2022

Contrastive Deep Graph Clustering with Learnable Augmentation.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu

CoRR, 2022

Late Fusion Multi-view Clustering via Global and Local Alignment Maximization.

Siwei Wang, Xinwang Liu, En Zhu

CoRR, 2022

Mixed Graph Contrastive Network for Semi-Supervised Node Classification.

Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2022

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences.

Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel.

Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-object Tracking with a Hierarchical Single-Branch Network.

Fan Wang, Lei Luo, En Zhu, Siwei Wang

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Efficient Anchor Learning-based Multi-view Clustering - A Late Fusion Method.

Tiejian Zhang, Xinwang Liu, En Zhu, Sihang Zhou, Zhibin Dong

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multiple Kernel Clustering with Dual Noise Minimization.

Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Sample Weighted Multiple Kernel K-means via Min-Max optimization.

Yi Zhang, Weixuan Liang, Xinwang Liu, Sisi Dai, Siwei Wang, Liyang Xu, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Continual Multi-view Clustering.

Xinhang Wan, Jiyuan Liu, Weixuan Liang, Xinwang Liu, Yi Wen, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Initializing Then Refining: A Simple Graph Attribute Imputation Network.

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Detecting Anomalous Events from Unlabeled Videos via Temporal Masked Auto-Encoding.

Jingtao Hu, Guang Yu, Siqi Wang, En Zhu, Zhiping Cai, Xinzhong Zhu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph.

Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Fusion Multiple Kernel K-means.

Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Deep Graph Clustering via Dual Correlation Reduction.

Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Robust Graph-Based Multi-View Clustering.

Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Gaussian Mixture Model Clustering with Incomplete Data.

Yi Zhang, Miaomiao Li, Siwei Wang, Sisi Dai, Lei Luo, En Zhu, Huiying Xu, Xinzhong Zhu, Chaoyun Yao, Haoran Zhou

ACM Trans. Multim. Comput. Commun. Appl., 2021

Simultaneous Clustering and Optimization for Evolving Datasets.

Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin

IEEE Trans. Knowl. Data Eng., 2021

A Theoretical Revisit to Linear Convergence for Saddle Point Problems.

Wendi Wu, Yawei Zhao, En Zhu, Xinwang Liu, Xingxing Zhang, Lailong Luo, Shixiong Wang, Jianping Yin

ACM Trans. Intell. Syst. Technol., 2021

Efficient and Effective Regularized Incomplete Multi-View Clustering.

Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Multiple kernel clustering with late fusion consensus local graph preserving.

Yujing Zhang, Siwei Wang, Xinwang Liu, En Zhu

Int. J. Intell. Syst., 2021

Improved autoencoder for unsupervised anomaly detection.

Zhen Cheng, Siwei Wang, Pei Zhang, Siqi Wang, Xinwang Liu, En Zhu

Int. J. Intell. Syst., 2021

Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests.

Siqi Wang, Guang Yu, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin, Qing Liao

CoRR, 2021

Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos.

Siqi Wang, Guang Yu, Zhiping Cai, En Zhu, Xinwang Liu, Jianping Yin, Chengzhang Zhu

CoRR, 2021

Multi-view Deep One-class Classification: A Systematic Exploration.

Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin

CoRR, 2021

Deep Distribution-preserving Incomplete Clustering with Optimal Transport.

Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu

CoRR, 2021

Multi-object Tracking with a Hierarchical Single-branch Network.

Fan Wang, Lei Luo, En Zhu, Siwei Wang, Jun Long

CoRR, 2021

Multiple Kernel k-Means With Low-Rank Neighborhood Kernel.

Qiyuan Ou, Long Gao, En Zhu

IEEE Access, 2021

Unsupervised Outlier Detection via Transformation Invariant Autoencoder.

Zhen Cheng, En Zhu, Siqi Wang, Pei Zhang, Wang Li

IEEE Access, 2021

Two-Stage Real-Time Multi-object Tracking with Candidate Selection.

Fan Wang, Lei Luo, En Zhu

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment.

Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

One-Stage Incomplete Multi-view Clustering via Late Fusion.

Yi Zhang, Xinwang Liu, Siwei Wang, Jiyuan Liu, Sisi Dai, En Zhu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Scalable Multi-view Subspace Clustering with Unified Anchors.

Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering.

Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

One Pass Late Fusion Multi-view Clustering.

Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu

Proceedings of the 38th International Conference on Machine Learning, 2021

Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data.

Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Efficient Distributed Stochastic Gradient Descent Through Gaussian Averaging.

Kaifan Hu, Chengkun Wu, En Zhu

Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

Unified and View-Specific Multiple Kernel K-Means Clustering.

Yujing Zhang, Siwei Wang, En Zhu

Proceedings of the Database and Expert Systems Applications, 2021

Deep Fusion Clustering Network.

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation.

Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin

IEEE Trans. Neural Networks Learn. Syst., 2020

Adaptive Self-Paced Deep Clustering with Data Augmentation.

Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin

IEEE Trans. Knowl. Data Eng., 2020

Understand Dynamic Regret with Switching Cost for Online Decision Making.

Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin

ACM Trans. Intell. Syst. Technol., 2020

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering.

Pei Zhang, Siwei Wang, Jingtao Hu, Zhen Cheng, Xifeng Guo, En Zhu, Zhiping Cai

Sensors, 2020

Multiple Kernel $k$k-Means with Incomplete Kernels.

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Absent Multiple Kernel Learning Algorithms.

Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Subspace segmentation-based robust multiple kernel clustering.

Sihang Zhou, En Zhu, Xinwang Liu, Tianming Zheng, Qiang Liu, Jingyuan Xia, Jianping Yin

Inf. Fusion, 2020

Anchor-Based Multiview Subspace Clustering With Diversity Regularization.

Qiyuan Ou, Siwei Wang, Sihang Zhou, Miaomiao Li, Xifeng Guo, En Zhu

IEEE Multim., 2020

SimpleMKKM: Simple Multiple Kernel K-means.

Xinwang Liu, En Zhu, Jiyuan Liu, Timothy M. Hospedales, Yang Wang, Meng Wang

CoRR, 2020

Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events.

Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, Marius Kloft

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Multi-object Tracking Combines Motion and Visual Information.

Fan Wang, En Zhu, Lei Luo, Jun Long

Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

Image Representation Learning by Transformation Regression.

Xifeng Guo, Jiyuan Liu, Sihang Zhou, En Zhu, Shihao Dong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix.

Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin, Wen Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features.

Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

CGD: Multi-View Clustering via Cross-View Graph Diffusion.

Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets.

Yawei Zhao, Kai Xu, En Zhu, Xinwang Liu, Xinzhong Zhu, Jianping Yin

IEEE Trans. Knowl. Data Eng., 2019

An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos.

Jingtao Hu, En Zhu, Siqi Wang, Xinwang Liu, Xifeng Guo, Jianping Yin

Sensors, 2019

Relational recurrent neural networks for polyphonic sound event detection.

Junbo Ma, Ruili Wang, Wanting Ji, Hao Zheng, En Zhu, Jianping Yin

Multim. Tools Appl., 2019

Fast and unsupervised outlier removal by recurrent adaptive reconstruction extreme learning machine.

Siqi Wang, Qiang Liu, Xifeng Guo, En Zhu, Jianping Yin

Int. J. Mach. Learn. Cybern., 2019

Scalable k-means for large-scale clustering.

Yuewei Ming, En Zhu, Mao Wang, Qiang Liu, Xinwang Liu, Jianping Yin

Intell. Data Anal., 2019

Learning Bias-Free Representation for Large-Scale Person Re-Identification.

Jiaming Xu, En Zhu

IEEE Access, 2019

Efficient Multiple Kernel k-Means Clustering With Late Fusion.

Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu

IEEE Access, 2019

K-Means Clustering With Incomplete Data.

Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin

IEEE Access, 2019

Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization.

Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai

IEEE Access, 2019

Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network.

Siqi Wang, Yijie Zeng, Xinwang Liu, En Zhu, Jianping Yin, Chuanfu Xu, Marius Kloft

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression.

Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jianping Yin

Proceedings of the International Joint Conference on Neural Networks, 2019

Multi-view Clustering via Late Fusion Alignment Maximization.

Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Affine Equivariant Autoencoder.

Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios.

Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Efficient and Effective Incomplete Multi-View Clustering.

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Hyperparameter selection of one-class support vector machine by self-adaptive data shifting.

Siqi Wang, Qiang Liu, En Zhu, Fatih Porikli, Jianping Yin

Pattern Recognit., 2018

A fast and accurate method for detecting fingerprint reference point.

Xifeng Guo, En Zhu, Jianping Yin

Neural Comput. Appl., 2018

Large-scale k-means clustering via variance reduction.

Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin

Neurocomputing, 2018

Video anomaly detection and localization by local motion based joint video representation and OCELM.

Siqi Wang, En Zhu, Jianping Yin, Fatih Porikli

Neurocomputing, 2018

DMP-ELMs: Data and model parallel extreme learning machines for large-scale learning tasks.

Yuewei Ming, En Zhu, Mao Wang, Yongkai Ye, Xinwang Liu, Jianping Yin

Neurocomputing, 2018

Mechanical amelioration to improve hexapod robot speed.

Long Gao, Jianping Yin, En Zhu, Tianhang Liu, Wei Chen, Minghui Qiu

Int. J. Embed. Syst., 2018

Boosting landmark retrieval baseline with burstiness detection.

Mao Wang, Lili Zhao, Yuewei Ming, En Zhu, Jianping Yin

IET Comput. Vis., 2018

Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit.

Yawei Zhao, En Zhu, Xinwang Liu, Jianping Yin

CoRR, 2018

Group Recommendation Based on Financial Social Network for Robo-Advisor.

Jingming Xue, En Zhu, Qiang Liu, Jianping Yin

IEEE Access, 2018

Intensity Filtering and Group Fusion for Accurate Mobile Place Recognition.

Mao Wang, En Zhu, Qiang Liu, Yongkai Ye, Yuewei Ming, Jianping Yin

IEEE Access, 2018

Multiple Kernel Clustering With Global and Local Structure Alignment.

Chuanli Wang, En Zhu, Xinwang Liu, Long Gao, Jianping Yin, Ning Hu

IEEE Access, 2018

Exploration of Human Activities Using Sensing Data via Deep Embedded Determination.

Yiqi Wang, En Zhu, Qiang Liu, Yingwen Chen, Jianping Yin

Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Chronic Wounds Image Generator Based on Deep Convolutional Generative Adversarial Networks.

Junnan Zhang, En Zhu, Xifeng Guo, Haohao Chen, Jianping Yin

Proceedings of the Theoretical Computer Science - 36th National Conference, 2018

A Kernel Method with Manifold Regularization for Interactive Segmentation.

Haohao Chen, En Zhu, Xinwang Liu, Junnan Zhang, Jianping Yin

Proceedings of the Theoretical Computer Science - 36th National Conference, 2018

Detecting Abnormality without Knowing Normality: A Two-stage Approach for Unsupervised Video Abnormal Event Detection.

Siqi Wang, Yijie Zeng, Qiang Liu, Chengzhang Zhu, En Zhu, Jianping Yin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Localized Incomplete Multiple Kernel k-means.

Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Joint Approach to Data Clustering and Robo-Advisor.

Jingming Xue, En Zhu, Qiang Liu, Chuanli Wang, Jianping Yin

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

Deep Embedded Clustering with Data Augmentation.

Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Variance Reduced K-Means Clustering.

Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deep Embedding for Determining the Number of Clusters.

Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

MST-GEN: An Efficient Parameter Selection Method for One-Class Extreme Learning Machine.

Siqi Wang, Qiang Liu, En Zhu, Jianping Yin, Wentao Zhao

IEEE Trans. Cybern., 2017

Fast Optical Flow Estimation Without Parallel Architectures.

En Zhu, Yuanwei Li, Yanling Shi

IEEE Trans. Circuits Syst. Video Technol., 2017

Coupled Multiple Kernel Learning for Supervised Classification.

En Zhu, Qiang Liu, Jianping Yin

Comput. Informatics, 2017

Landmark-Based Spectral Clustering with Local Similarity Representation.

Wanpeng Yin, En Zhu, Xinzhong Zhu, Jianping Yin

Proceedings of the Theoretical Computer Science - 35th National Conference, 2017

Deep Clustering with Convolutional Autoencoders.

Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A framework of wound segmentation based on deep convolutional networks.

Xiaohui Liu, Changjian Wang, Fangzhao Li, Xiang Zhao, En Zhu, Yuxing Peng

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Optimal Neighborhood Kernel Clustering with Multiple Kernels.

Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multiple Kernel k-Means with Incomplete Kernels.

Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Walking to singular points of fingerprints.

En Zhu, Xifeng Guo, Jianping Yin

Pattern Recognit., 2016

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).

Xifeng Guo, En Zhu, Sihang Zhou, Xiaolong Shen, Jianping Yin

计算机科学, 2016

Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF.

Lili Zhao, Kuan Li, Mao Wang, Jianping Yin, En Zhu, Chengkun Wu, Siqi Wang, Chengzhang Zhu

Comput. Biol. Medicine, 2016

Video anomaly detection based on ULGP-OF descriptor and one-class ELM.

Siqi Wang, En Zhu, Jianping Yin

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multiple Kernel Clustering with Local Kernel Alignment Maximization.

Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Co-regularized kernel k-means for multi-view clustering.

Yongkai Ye, Xinwang Liu, Jianping Yin, En Zhu

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Anomaly detection in crowded scenes by SL-HOF descriptor and foreground classification.

Siqi Wang, En Zhu, Jianping Yin, Fatih Porikli

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Appearance changes detection during tracking.

Wei Chen, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Ensemble One-Class Extreme Learning Machine Based on Overlapping Data Partition.

Siqi Wang, Lili Zhao, En Zhu, Jianping Yin, Heling Yang

Proceedings of the Cognitive Systems and Signal Processing, 2016

Multiple Kernel <i>k</i>-Means Clustering with Matrix-Induced Regularization.

Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Background pretruncated method for JPEG2000 region of interest coding.

Jianxin Wang, En Zhu

J. Electronic Imaging, 2015

An optimized structure on FPGA of key point description in SIFT algorithm.

Chenyu Xu, Jinlong Peng, En Zhu, Yuxin Zou

Proceedings of the Eighth International Conference on Machine Vision, 2015

2014

A Fast Simple Optical Flow Computation Approach Based on the 3-D Gradient.

Yuanwei Li, En Zhu, Jianmin Zhao, Jianping Yin, Xiangfu Zhao

IEEE Trans. Circuits Syst. Video Technol., 2014

Counting Pedestrian with Mixed Features and Extreme Learning Machine.

Yuanwei Li, En Zhu, Xinzhong Zhu, Jianping Yin, Jianmin Zhao

Cogn. Comput., 2014

2013

An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning.

Xinwang Liu, Lei Wang, Jianping Yin, En Zhu, Jian Zhang

IEEE Trans. Cybern., 2013

2012

Scan power reduction based on clock-gating.

Ning Huang, En Zhu

IEICE Electron. Express, 2012

A new mechanism for SOC scan test scheduling.

Ning Huang, En Zhu

IEICE Electron. Express, 2012

2011

Fusion of Multiple Candidate Orientations in Fingerprints.

En Zhu, Edwin R. Hancock, Jianping Yin, Jianming Zhang, Huiyao An

Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011

2010

A composite fingerprint segmentation based on Log-Gabor filter and orientation reliability.

Chunfeng Hu, Jianping Yin, En Zhu, Hui Chen, Yong Li

Proceedings of the International Conference on Image Processing, 2010

Associating Minutiae between Distorted Fingerprints Using Minimal Spanning Tree.

En Zhu, Edwin R. Hancock, Peng Ren, Jianping Yin, Jianming Zhang

Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

2009

A Large Margin Classifier with Additional Features.

Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A Novel Method for Multibiometric Fusion Based on FAR and FRR.

Yong Li, Jianping Yin, Jun Long, En Zhu

Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

An Efficient Pre-filtering Mechanism for Parallel Intrusion Detection Based on Many-Core GPU.

Chengkun Wu, Jianping Yin, Zhiping Cai, En Zhu, Jieren Cheng

Proceedings of the Security Technology, 2009

A Bit-Parallel Exact String Matching Algorithm for Small Alphabet.

Guomin Zhang, En Zhu, Ling Mao, Ming Yin

Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009

A Max-Margin Learning Algorithm with Additional Features.

Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang

Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009

A Hybrid Parallel Signature Matching Model for Network Security Applications Using SIMD GPU.

Chengkun Wu, Jianping Yin, Zhiping Cai, En Zhu, Jieren Cheng

Proceedings of the Advanced Parallel Processing Technologies, 8th International Symposium, 2009

2008

Active Learning with Misclassification Sampling Based on Committee.

Jun Long, Jianping Yin, En Zhu, Wentao Zhao

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Active Learning with Misclassification Sampling Using Diverse Ensembles Enhanced by Unlabeled Instances.

Jun Long, Jianping Yin, En Zhu, Wentao Zhao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Graph-Based Active Learning Based on Label Propagation.

Jun Long, Jianping Yin, Wentao Zhao, En Zhu

Proceedings of the Modeling Decisions for Artificial Intelligence, 2008

Incremental Manifold Learning Algorithm Using PCA on Overlapping Local Neighborhoods for Dimensionality Reduction.

Yubin Zhan, Jianping Yin, Guomin Zhang, En Zhu

Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

On the Selection of Multi Optimal Imaging Frames in Single Time Slot for Earth Observation Satellite.

Guomin Zhang, Jianping Yin, En Zhu, Ling Mao

Proceedings of the 9th International Conference for Young Computer Scientists, 2008

Score based biometric template selection.

Yong Li, Jianping Yin, En Zhu, Chunfeng Hu, Hui Chen

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Fingerprint alignment using special ridges.

Chunfeng Hu, Jianping Yin, En Zhu, Hui Chen, Yong Li

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

On the Partition Cells Formed by Hyperspheres.

Guomin Zhang, Jianping Yin, En Zhu, Ling Mao

Proceedings of the Fourth International Conference on Natural Computation, 2008

Score Based Biometric Template Selection and Update.

Yong Li, Jianping Yin, En Zhu, Chunfeng Hu, Hui Chen

Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008

A Scalable Algorithm for Graph-Based Active Learning.

Wentao Zhao, Jun Long, En Zhu, Yun Liu

Proceedings of the Frontiers in Algorithmics, Second Annual International Workshop, 2008

A Distributed Algorithm to Approximate Node-Weighted Minimum alpha-Connected (Theta, k)-Coverage in Dense Sensor Networks.

Yongan Wu, Min Li, Zhiping Cai, En Zhu

Proceedings of the Frontiers in Algorithmics, Second Annual International Workshop, 2008

An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine.

Xinwang Liu, Guomin Zhang, Yubin Zhan, En Zhu

Proceedings of the Frontiers in Algorithmics, Second Annual International Workshop, 2008

2007

Two steps for fingerprint segmentation.

Jianping Yin, En Zhu, Xuejun Yang, Guomin Zhang, Chunfeng Hu

Image Vis. Comput., 2007

An Active Learning Method Based on Most Possible Misclassification Sampling Using Committee.

Jun Long, Jianping Yin, En Zhu

Proceedings of the Modeling Decisions for Artificial Intelligence, 2007

2006

A systematic method for fingerprint ridge orientation estimation and image segmentation.

En Zhu, Jianping Yin, Chunfeng Hu, Guomin Zhang

Pattern Recognit., 2006

A Gabor Filter Based Fingerprint Enhancement Scheme Using Average Frequency.

En Zhu, Jianping Yin, Guomin Zhang, Chunfeng Hu

Int. J. Pattern Recognit. Artif. Intell., 2006

Excluding the Remaining Ridges of Fingerprint Image.

En Zhu, Jianping Yin, Chunfeng Hu, Guomin Zhang, Jianming Zhang

Proceedings of the VISAPP 2006: Proceedings of the First International Conference on Computer Vision Theory and Applications, 2006

2005

Fingerprint matching based on global alignment of multiple reference minutiae.

En Zhu, Jianping Yin, Guomin Zhang

Pattern Recognit., 2005

Fingerprint Minutiae Relationship Representation and Matching Based on Curve Coordinate System.

En Zhu, Jianping Yin, Guomin Zhang, Chunfeng Hu

Int. J. Image Graph., 2005

Quality Estimation of Fingerprint Image Based on Neural Network.

En Zhu, Jianping Yin, Chunfeng Hu, Guomin Zhang

Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004

Fingerprint Enhancement Using Circular Gabor Filter.

En Zhu, Jianping Yin, Guomin Zhang

Proceedings of the Image Analysis and Recognition: International Conference, 2004

2003

A 3.125-Gb/s CMOS word alignment demultiplexer for serial data communications.

Wen-Hu Zhao, Zhi-Gong Wang, En Zhu

Proceedings of the ESSCIRC 2003, 2003

24 Gb/s laser/modulator driver IC using 0.2μm gate length PHEMTs.

Ting Huang, Zhigong Wang, En Zhu, Xiaoming Wang, Mingzhen Xiong

Proceedings of the ESSCIRC 2003, 2003