Zhao Kang

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 154

Top Venues

Publications

Fatemeh Sadjadi, Mina Jamshidi, Zhao Kang
Multi-view subspace clustering using drop out technique on points. Int. J. Mach. Learn. Cybern. 15 (5) (2024)
Bingheng Li, Erlin Pan, Zhao Kang
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering. AAAI (2024)
Xuanting Xie, Zhao Kang, Wenyu Chen
Robust Graph Structure Learning under Heterophily. CoRR (2024)
Xudong Zhu, Zhao Kang, Bei Hui
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction. LREC/COLING (2024)
Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu
Multigraph Fusion for Dynamic Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Zhao Kang, Xuanting Xie, Bingheng Li, Erlin Pan
CDC: A Simple Framework for Complex Data Clustering. CoRR (2024)
Xudong Zhu, Zhao Kang, Bei Hui
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction. CoRR (2024)
Bingheng Li, Xuanting Xie, Haoxiang Lei, Ruiyi Fang, Zhao Kang
Simplified PCNet with Robustness. CoRR (2024)
Xiaowei Qian, Bingheng Li, Zhao Kang
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering. AAAI (2024)
Xuanting Xie, Erlin Pan, Zhao Kang, Wenyu Chen, Bingheng Li
Provable Filter for Real-world Graph Clustering. CoRR (2024)
Chao Huang, Zhao Kang, Hong Wu
A Prototype-Based Neural Network for Image Anomaly Detection and Localization. Neural Process. Lett. 56 (3) (2024)
Chong Peng, Kehan Kang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering. IEEE Trans. Image Process. 33 (2024)
Bingheng Li, Erlin Pan, Zhao Kang
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering. CoRR (2023)
Chong Peng, Xingrong Hou, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Global and local similarity learning in multi-kernel space for nonnegative matrix factorization. Knowl. Based Syst. 279 (2023)
Zhiping Lin, Zhao Kang, Lizong Zhang, Ling Tian
Multi-View Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Jiaqi Li, Haojia Kong, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, Boyu Wang
Label shift conditioned hybrid querying for deep active learning. Knowl. Based Syst. 274 (2023)
Quanjiang Guo, Zhao Kang, Ling Tian, Zhouguo Chen
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection. IJCNN (2023)
Xuanting Xie, Wenyu Chen, Zhao Kang, Chong Peng
Contrastive graph clustering with adaptive filter. Expert Syst. Appl. 219 (2023)
Wang-Tao Zhou, Zhao Kang, Ling Tian, Yi Su
Intensity-free convolutional temporal point process: Incorporating local and global event contexts. Inf. Sci. 646 (2023)
Erlin Pan, Zhao Kang
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering. ICML (2023)
Hongfei Liu, Zhao Kang, Lizong Zhang, Ling Tian, Fujun Hua
Document-level Relation Extraction with Cross-sentence Reasoning Graph. CoRR (2023)
Quanjiang Guo, Zhao Kang, Ling Tian, Zhouguo Chen
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection. CoRR (2023)
Liang Liu, Ling Tian, Zhao Kang, Tianqi Wan
Spacecraft Anomaly Detection with Attention Temporal Convolution Network. CoRR (2023)
Qian Zhang, Zhao Kang, Zenglin Xu, Hongguang Fu
Contrastive Kernel Subspace Clustering. ICONIP (5) (2023)
Wang-Tao Zhou, Zhao Kang, Ling Tian, Yi Su
Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event Contexts. CoRR (2023)
Erlin Pan, Zhao Kang
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering. CoRR (2023)
Erlin Pan, Zhao Kang
High-order multi-view clustering for generic data. Inf. Fusion 100 (2023)
Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian
Self-paced principal component analysis. Pattern Recognit. 142 (2023)
Lingling Zhang, Zhiwei Zhang, Guoren Wang, Ye Yuan, Zhao Kang
Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Chao Huang, Zhao Kang, Hong Wu
A Prototype-Based Neural Network for Image Anomaly Detection and Localization. CoRR (2023)
Ziqian Yan, Zhao Kang, Ling Tian
Self-Attention-Based Reconstruction for Planetary Magnetic Field. NCAA (1) (2023)
Wang-Tao Zhou, Zhao Kang, Ling Tian
Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction. CoRR (2023)
Liang Liu, Ling Tian, Zhao Kang, Tianqi Wan
Spacecraft anomaly detection with attention temporal convolution networks. Neural Comput. Appl. 35 (13) (2023)
Hongfei Liu, Zhao Kang, Lizong Zhang, Ling Tian, Fujun Hua
Document-Level Relation Extraction with Cross-sentence Reasoning Graph. PAKDD (1) (2023)
Chong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxing Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization. CoRR (2022)
Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Log-based Sparse Nonnegative Matrix Factorization for Data Representation. CoRR (2022)
Liang Liu, Peng Chen, Guangchun Luo, Zhao Kang, Yonggang Luo, Sanchu Han
Scalable Multi-view Clustering with Graph Filtering. CoRR (2022)
Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Log-based sparse nonnegative matrix factorization for data representation. Knowl. Based Syst. 251 (2022)
Erlin Pan, Zhao Kang
High-order Multi-view Clustering for Generic Data. CoRR (2022)
Chong Peng, Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao Kang, Li Guo, Qiang Cheng
Preserving bilateral view structural information for subspace clustering. Knowl. Based Syst. 258 (2022)
Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu
Structure-Preserving Graph Representation Learning. CoRR (2022)
Chong Peng, Zhilu Zhang, Chenglizhao Chen, Zhao Kang, Qiang Cheng
Two-dimensional semi-nonnegative matrix factorization for clustering. Inf. Sci. 590 (2022)
Liang Liu, Zhao Kang, Jiajia Ruan, Xixu He
Multilayer graph contrastive clustering network. Inf. Sci. 613 (2022)
Zhao Kang, Zhanyu Liu, Shirui Pan, Ling Tian
Fine-grained Attributed Graph Clustering. SDM (2022)
Liang Liu, Peng Chen, Guangchun Luo, Zhao Kang, Yonggang Luo, Sanchu Han
Scalable multi-view clustering with graph filtering. Neural Comput. Appl. 34 (19) (2022)
Li Ren, Guiduo Duan, Tianxi Huang, Zhao Kang
Multi-local feature relation network for few-shot learning. Neural Comput. Appl. 34 (10) (2022)
Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang
Graph Fusion Network for Text Classification. Knowl. Based Syst. 236 (2022)
Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu
Structure-Preserving Graph Representation Learning. ICDM (2022)
Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang
Eliminating Gradient Conflict in Reference-based Line-Art Colorization. ECCV (17) (2022)
Qian Zhang, Zhao Kang, Zenglin Xu, Shudong Huang, Hongguang Fu
Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization. Knowl. Based Syst. 253 (2022)
Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang
Eliminating Gradient Conflict in Reference-based Line-Art Colorization. CoRR (2022)
Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu
Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview. IEEE Trans. Cybern. 52 (9) (2022)
Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu
Pseudo-Supervised Deep Subspace Clustering. IEEE Trans. Image Process. 30 (2021)
Erlin Pan, Zhao Kang
Multi-view Contrastive Graph Clustering. NeurIPS (2021)
Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Nonnegative matrix factorization with local similarity learning. Inf. Sci. 562 (2021)
Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view. CoRR (2021)
Shudong Huang, Zhao Kang, Zenglin Xu, Quanhui Liu
Robust deep k-means: An effective and simple method for data clustering. Pattern Recognit. 117 (2021)
Liang Liu, Zhao Kang, Ling Tian, Wenbo Xu, Xixu He
Multilayer Graph Contrastive Clustering Network. CoRR (2021)
Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Kernel two-dimensional ridge regression for subspace clustering. Pattern Recognit. 113 (2021)
Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian
Self-paced Principal Component Analysis. CoRR (2021)
Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian
Self-supervised Consensus Representation Learning for Attributed Graph. ACM Multimedia (2021)
Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian
Self-supervised Consensus Representation Learning for Attributed Graph. CoRR (2021)
Zhiping Lin, Zhao Kang
Graph Filter-based Multi-view Attributed Graph Clustering. IJCAI (2021)
Peng Chen, Liang Liu, Zhengrui Ma, Zhao Kang
Smoothed Multi-View Subspace Clustering. CoRR (2021)
Chong Peng, Yang Liu, Xin Zhang, Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng
Learning discriminative representation for image classification. Knowl. Based Syst. 233 (2021)
Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen
Self-Paced Two-dimensional PCA. AAAI (2021)
Zhengrui Ma, Zhao Kang, Guangchun Luo, Ling Tian
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering. CoRR (2021)
Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
Structured graph learning for clustering and semi-supervised classification. Pattern Recognit. 110 (2021)
Hongyuan Zhu, Yi Cheng, Xi Peng, Joey Tianyi Zhou, Zhao Kang, Shijian Lu, Zhiwen Fang, Liyuan Li, Joo-Hwee Lim
Single-Image Dehazing via Compositional Adversarial Network. IEEE Trans. Cybern. 51 (2) (2021)
Erlin Pan, Zhao Kang
Multi-view Contrastive Graph Clustering. CoRR (2021)
Peng Chen, Liang Liu, Zhengrui Ma, Zhao Kang
Smoothed Multi-view Subspace Clustering. NCAA (2021)
Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang, Kun Bai, Kaizhu Huang, Zenglin Xu
Domain adaptation with feature and label adversarial networks. Neurocomputing 439 (2021)
Boyu Wang, Chi Man Wong, Zhao Kang, Feng Liu, Changjian Shui, Feng Wan, C. L. Philip Chen
Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces. IEEE Trans. Cybern. 51 (10) (2021)
Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu
Multi-view subspace clustering via partition fusion. Inf. Sci. 560 (2021)
Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu
Pseudo-supervised Deep Subspace Clustering. CoRR (2021)
Shudong Huang, Zhao Kang, Zenglin Xu
Deep K-Means: A Simple and Effective Method for Data Clustering. NCAA (2020)
Shudong Huang, Zhao Kang, Zenglin Xu
Auto-weighted multi-view clustering via deep matrix decomposition. Pattern Recognit. 97 (2020)
Juan Chen, Shijie Zhou, Zhao Kang, Quan Wen
Locality-constrained group lasso coding for microvessel image classification. Pattern Recognit. Lett. 130 (2020)
Zheng Wang, Lin Zuo, Jing Ma, Si Chen, Jingjing Li, Zhao Kang, Lei Zhang
Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering. World Wide Web 23 (3) (2020)
Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu
Relation-Guided Representation Learning. Neural Networks 131 (2020)
Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang
On Deep Unsupervised Active Learning. CoRR (2020)
Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu
Multi-graph fusion for multi-view spectral clustering. Knowl. Based Syst. 189 (2020)
Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu
Partition level multiview subspace clustering. Neural Networks 122 (2020)
Xiao Lu, Zhao Kang, Jiachun Tang, Shuang Xie, Yuanzhang Su
Generalized Locally-Linear Embedding: A Neural Network Implementation. NCAA (2020)
Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering. CoRR (2020)
Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Kernel Two-Dimensional Ridge Regression for Subspace Clustering. CoRR (2020)
Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu
Large-Scale Multi-View Subspace Clustering in Linear Time. AAAI (2020)
Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang
On Deep Unsupervised Active Learning. IJCAI (2020)
Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu
Robust Graph Learning From Noisy Data. IEEE Trans. Cybern. 50 (5) (2020)
Shudong Huang, Zenglin Xu, Zhao Kang, Yazhou Ren
Regularized nonnegative matrix factorization with adaptive local structure learning. Neurocomputing 382 (2020)
Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu
Relation-Guided Representation Learning. CoRR (2020)
Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang
Auto-weighted multi-view co-clustering with bipartite graphs. Inf. Sci. 512 (2020)
Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
Structured Graph Learning for Clustering and Semi-supervised Classification. CoRR (2020)
Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu
Two birds with one stone: Transforming and generating facial images with iterative GAN. Neurocomputing 396 (2020)
Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu
Structure learning with similarity preserving. Neural Networks 129 (2020)
Zhengrui Ma, Zhao Kang, Guangchun Luo, Ling Tian, Wenyu Chen
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering. ACM Multimedia (2020)
Chong Peng, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
Robust principal component analysis: A factorization-based approach with linear complexity. Inf. Sci. 513 (2020)
Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu
Clustering with similarity preserving. Neurocomputing 365 (2019)
Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen
Latent Multi-view Semi-Supervised Classification. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhao Kang