Zhao Kang

203 papers A* 34A 6B 5C 1Journal 145Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction.
AAAI
Quanjiang Guo, Sijie Wang, Jinchuan Zhang, Ben Zhang, Zhao Kang, Ling Tian, Ke Yan
2026 J jnl
Fine-grained tensor completion for incomplete multi-view clustering.
Pattern Recognit.
Chong Peng, Chundan Liu, Yang Bai, Yongyong Chen, Zhao Kang, Junyu Dong, Guiyuan Jiang, Chenglizhao Chen
2026 A* conf
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes.
AAAI
Wang-Tao Zhou, Zhao Kang, Ke Yan, Ling Tian
2026 J jnl
Linear-time attributed graph clustering via collaborative learning of adaptive anchors.
Neurocomputing
Ling Wu, Shuai Guo, Qishan Zhang, Yikai Zeng, Zhao Kang, Kun Guo
2026 J jnl
Multi-view social network alignment with comprehensive disparity alleviation.
Neurocomputing
Jingyuan Duan, Zhao Kang, Ke Yan, Jinchuan Zhang
2026 J jnl
Posterior relation augmentation for multi-view and gradual network alignment.
Expert Syst. Appl.
Jingyuan Duan, Zhao Kang, Ke Yan, Sicong Liu, Ling Tian
2025 J jnl
Aggregation-aware MLP: An Unsupervised Approach for Graph Message-passing.
CoRR
Xuanting Xie, Bingheng Li, Erlin Pan, Zhao Kang, Wenyu Chen
2025 J jnl
Attention Beyond Neighborhoods: Reviving Transformer for Graph Clustering.
CoRR
Xuanting Xie, Bingheng Li, Erlin Pan, Rui Hou, Wenyu Chen, Zhao Kang
2025 B conf
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition.
COLING
Quanjiang Guo, Yihong Dong, Ling Tian, Zhao Kang, Yu Zhang, Sijie Wang
2025 A* conf
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training.
IJCAI
Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang, Bin Yan, Weidong Xiao
2025 J jnl
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training.
CoRR
Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang, Bin Yan, Weidong Xiao
2025 J jnl
CDC: A Simple Framework for Complex Data Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Zhao Kang, Xuanting Xie, Bingheng Li, Erlin Pan
2025 A* conf
Cooperation of Experts: Fusing Heterogeneous Information with Large Margin.
ICML
Shuo Wang, Shunyang Huang, Jinghui Yuan, Zhixiang Shen, Zhao Kang
2025 J jnl
Cooperation of Experts: Fusing Heterogeneous Information with Large Margin.
CoRR
Shuo Wang, Shunyang Huang, Jinghui Yuan, Zhixiang Shen, Zhao Kang
2025 A* conf
Disentangling Homophily and Heterophily in Multimodal Graph Clustering.
ACM Multimedia
Zhaochen Guo, Zhixiang Shen, Xuanting Xie, Liangjian Wen, Zhao Kang
2025 J jnl
Disentangling Homophily and Heterophily in Multimodal Graph Clustering.
CoRR
Zhaochen Guo, Zhixiang Shen, Xuanting Xie, Liangjian Wen, Zhao Kang
2025 — conf
ENGCL: Graph Contrastive Learning via Ego-Preservation and Neighborhood Learning.
ICIC (10)
Wenqiang Du, Quanjiang Guo, Ming Jia, Ke Yan, Zhao Kang
2025 J jnl
Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction.
CoRR
Quanjiang Guo, Sijie Wang, Jinchuan Zhang, Ben Zhang, Zhao Kang, Ling Tian, Ke Yan
2025 A conf
Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph.
SDM
Wang-Tao Zhou, Zhao Kang, Sicong Liu, Lizong Zhang, Ling Tian
2025 J jnl
Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph.
CoRR
Wang-Tao Zhou, Zhao Kang, Sicong Liu, Lizong Zhang, Ling Tian
2025 J jnl
GMoPE:A Prompt-Expert Mixture Framework for Graph Foundation Models.
CoRR
Zhibin Wang, Zhixing Zhang, Shuqi Wang, Xuanting Xie, Zhao Kang
2025 — conf
Gradual Social Network Alignment with Relation Augmentation and Multi-view Embedding.
ICIC (8)
Jingyuan Duan, Wangtao Zhou, Zhao Kang, Ke Yan
2025 J jnl
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes.
CoRR
Wang-Tao Zhou, Zhao Kang, Ke Yan, Ling Tian
2025 J jnl
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions.
CoRR
Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan
2025 A* conf
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment.
ICML
Shuo Wang, Bokui Wang, Zhixiang Shen, Boyan Deng, Zhao Kang
2025 J jnl
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment.
CoRR
Shuo Wang, Bokui Wang, Zhixiang Shen, Boyan Deng, Zhao Kang
2025 J jnl
Multi-level social network alignment via adversarial learning and graphlet modeling.
Neural Networks
Jingyuan Duan, Zhao Kang, Ling Tian, Yichen Xin
2025 J jnl
Non-autoregressive diffusion-based temporal point processes for continuous-time long-term event prediction.
Expert Syst. Appl.
Wang-Tao Zhou, Zhao Kang, Ling Tian, Jinchuan Zhang, Yumeng Liu
2025 A* conf
On the Benefits of Attribute-Driven Graph Domain Adaptation.
ICLR
Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Charles Ling, Boyu Wang
2025 J jnl
On the Benefits of Attribute-Driven Graph Domain Adaptation.
CoRR
Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Boyu Wang, Charles Ling
2025 A* conf
One Node One Model: Featuring the Missing-Half for Graph Clustering.
AAAI
Xuanting Xie, Bingheng Li, Erlin Pan, Zhaochen Guo, Zhao Kang, Wenyu Chen
2025 J jnl
Robust graph structure learning under heterophily.
Neural Networks
Xuanting Xie, Wenyu Chen, Zhao Kang
2025 J jnl
Simplified PCNet with robustness.
Neural Networks
Bingheng Li, Xuanting Xie, Haoxiang Lei, Ruiyi Fang, Zhao Kang
2025 J jnl
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhixiang Shen, Zhao Kang
2024 J jnl
A Prototype-Based Neural Network for Image Anomaly Detection and Localization.
Neural Process. Lett.
Chao Huang, Zhao Kang, Hong Wu
2024 J jnl
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition.
CoRR
Quanjiang Guo, Yihong Dong, Ling Tian, Zhao Kang, Yu Zhang, Sijie Wang
2024 A* conf
Balanced Multi-Relational Graph Clustering.
ACM Multimedia
Zhixiang Shen, Haolan He, Zhao Kang
2024 J jnl
Balanced Multi-Relational Graph Clustering.
CoRR
Zhixiang Shen, Haolan He, Zhao Kang
2024 A* conf
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning.
NeurIPS
Zhixiang Shen, Shuo Wang, Zhao Kang
2024 J jnl
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning.
CoRR
Zhixiang Shen, Shuo Wang, Zhao Kang
2024 J jnl
CDC: A Simple Framework for Complex Data Clustering.
CoRR
Zhao Kang, Xuanting Xie, Bingheng Li, Erlin Pan
2024 B conf
Dual-GTF: Enhancing Community Detection with Dual-Scale Game Theoretic Framework.
SMC
Haodong Shi, Zhao Kang, Ke Yan, Sicong Liu, Yichen Xin
2024 B conf
EMKG: Efficient Matchings for Knowledge Graph Integration in Stance Detection.
IJCNN
Yuhang Cheng, Kaiwen Li, Zhao Kang
2024 — conf
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction.
LREC/COLING
Xudong Zhu, Zhao Kang, Bei Hui
2024 J jnl
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction.
CoRR
Xudong Zhu, Zhao Kang, Bei Hui
2024 A* conf
Fine-Grained Bipartite Concept Factorization for Clustering.
CVPR
Chong Peng, Pengfei Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Shawn Cheng
2024 J jnl
Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering.
IEEE Trans. Image Process.
Chong Peng, Kehan Kang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2024 J jnl
Multi-view subspace clustering using drop out technique on points.
Int. J. Mach. Learn. Cybern.
Fatemeh Sadjadi, Mina Jamshidi, Zhao Kang
2024 J jnl
Multigraph Fusion for Dynamic Graph Convolutional Network.
IEEE Trans. Neural Networks Learn. Syst.
Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu
2024 J jnl
One Node One Model: Featuring the Missing-Half for Graph Clustering.
CoRR
Xuanting Xie, Bingheng Li, Erlin Pan, Zhaochen Guo, Zhao Kang, Wenyu Chen
2024 A* conf
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering.
AAAI
Bingheng Li, Erlin Pan, Zhao Kang
2024 J jnl
Provable Filter for Real-world Graph Clustering.
CoRR
Xuanting Xie, Erlin Pan, Zhao Kang, Wenyu Chen, Bingheng Li
2024 — conf
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering.
EMNLP (Findings)
Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang
2024 J jnl
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering.
CoRR
Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang
2024 J jnl
Robust Graph Structure Learning under Heterophily.
CoRR
Xuanting Xie, Zhao Kang, Wenyu Chen
2024 J jnl
Simplified PCNet with Robustness.
CoRR
Bingheng Li, Xuanting Xie, Haoxiang Lei, Ruiyi Fang, Zhao Kang
2024 B conf
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction.
IJCNN
Yu Zhang, Zhao Kang
2024 J jnl
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction.
CoRR
Yu Zhang, Zhao Kang
2024 A* conf
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering.
AAAI
Xiaowei Qian, Bingheng Li, Zhao Kang
2024 J jnl
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning.
CoRR
Zhixiang Shen, Zhao Kang
2023 J jnl
A Prototype-Based Neural Network for Image Anomaly Detection and Localization.
CoRR
Chao Huang, Zhao Kang, Hong Wu
2023 A* conf
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering.
ICML
Erlin Pan, Zhao Kang
2023 J jnl
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering.
CoRR
Erlin Pan, Zhao Kang
2023 — conf
Contrastive Kernel Subspace Clustering.
ICONIP (5)
Qian Zhang, Zhao Kang, Zenglin Xu, Hongguang Fu
2023 J jnl
Contrastive graph clustering with adaptive filter.
Expert Syst. Appl.
Xuanting Xie, Wenyu Chen, Zhao Kang, Chong Peng
2023 — conf
Document-Level Relation Extraction with Cross-sentence Reasoning Graph.
PAKDD (1)
Hongfei Liu, Zhao Kang, Lizong Zhang, Ling Tian, Fujun Hua
2023 J jnl
Document-level Relation Extraction with Cross-sentence Reasoning Graph.
CoRR
Hongfei Liu, Zhao Kang, Lizong Zhang, Ling Tian, Fujun Hua
2023 J jnl
Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling.
IEEE Trans. Knowl. Data Eng.
Lingling Zhang, Zhiwei Zhang, Guoren Wang, Ye Yuan, Zhao Kang
2023 J jnl
Global and local similarity learning in multi-kernel space for nonnegative matrix factorization.
Knowl. Based Syst.
Chong Peng, Xingrong Hou, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2023 J jnl
High-order multi-view clustering for generic data.
Inf. Fusion
Erlin Pan, Zhao Kang
2023 J jnl
Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event Contexts.
CoRR
Wang-Tao Zhou, Zhao Kang, Ling Tian, Yi Su
2023 J jnl
Intensity-free convolutional temporal point process: Incorporating local and global event contexts.
Inf. Sci.
Wang-Tao Zhou, Zhao Kang, Ling Tian, Yi Su
2023 J jnl
Label shift conditioned hybrid querying for deep active learning.
Knowl. Based Syst.
Jiaqi Li, Haojia Kong, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, Boyu Wang
2023 J jnl
Multi-View Attributed Graph Clustering.
IEEE Trans. Knowl. Data Eng.
Zhiping Lin, Zhao Kang, Lizong Zhang, Ling Tian
2023 J jnl
Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction.
CoRR
Wang-Tao Zhou, Zhao Kang, Ling Tian
2023 J jnl
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering.
CoRR
Bingheng Li, Erlin Pan, Zhao Kang
2023 — conf
Self-Attention-Based Reconstruction for Planetary Magnetic Field.
NCAA (1)
Ziqian Yan, Zhao Kang, Ling Tian
2023 J jnl
Self-paced principal component analysis.
Pattern Recognit.
Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian
2023 J jnl
Spacecraft Anomaly Detection with Attention Temporal Convolution Network.
CoRR
Liang Liu, Ling Tian, Zhao Kang, Tianqi Wan
2023 J jnl
Spacecraft anomaly detection with attention temporal convolution networks.
Neural Comput. Appl.
Liang Liu, Ling Tian, Zhao Kang, Tianqi Wan
2023 B conf
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection.
IJCNN
Quanjiang Guo, Zhao Kang, Ling Tian, Zhouguo Chen
2023 J jnl
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection.
CoRR
Quanjiang Guo, Zhao Kang, Ling Tian, Zhouguo Chen
2023 J jnl
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering.
CoRR
Xiaowei Qian, Bingheng Li, Zhao Kang
2022 — conf
Eliminating Gradient Conflict in Reference-based Line-Art Colorization.
ECCV (17)
Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang
2022 J jnl
Eliminating Gradient Conflict in Reference-based Line-Art Colorization.
CoRR
Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang
2022 A conf
Fine-grained Attributed Graph Clustering.
SDM
Zhao Kang, Zhanyu Liu, Shirui Pan, Ling Tian
2022 J jnl
Graph Fusion Network for Text Classification.
Knowl. Based Syst.
Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang
2022 J jnl
High-order Multi-view Clustering for Generic Data.
CoRR
Erlin Pan, Zhao Kang
2022 J jnl
Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization.
CoRR
Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022 J jnl
Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization.
IEEE Trans. Geosci. Remote. Sens.
Chong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxing Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022 J jnl
Log-based Sparse Nonnegative Matrix Factorization for Data Representation.
CoRR
Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022 J jnl
Log-based sparse nonnegative matrix factorization for data representation.
Knowl. Based Syst.
Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022 J jnl
Multi-local feature relation network for few-shot learning.
Neural Comput. Appl.
Li Ren, Guiduo Duan, Tianxi Huang, Zhao Kang
2022 J jnl
Multilayer graph contrastive clustering network.
Inf. Sci.
Liang Liu, Zhao Kang, Jiajia Ruan, Xixu He
2022 J jnl
Preserving bilateral view structural information for subspace clustering.
Knowl. Based Syst.
Chong Peng, Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao Kang, Li Guo, Qiang Cheng
2022 J jnl
Scalable Multi-view Clustering with Graph Filtering.
CoRR
Liang Liu, Peng Chen, Guangchun Luo, Zhao Kang, Yonggang Luo, Sanchu Han
2022 J jnl
Scalable multi-view clustering with graph filtering.
Neural Comput. Appl.
Liang Liu, Peng Chen, Guangchun Luo, Zhao Kang, Yonggang Luo, Sanchu Han
2022 J jnl
Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization.
Knowl. Based Syst.
Qian Zhang, Zhao Kang, Zenglin Xu, Shudong Huang, Hongguang Fu
2022 A* conf
Structure-Preserving Graph Representation Learning.
ICDM
Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu
2022 J jnl
Structure-Preserving Graph Representation Learning.
CoRR
Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu
2022 J jnl
Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview.
IEEE Trans. Cybern.
Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu
2022 J jnl
Two-dimensional semi-nonnegative matrix factorization for clustering.
Inf. Sci.
Chong Peng, Zhilu Zhang, Chenglizhao Chen, Zhao Kang, Qiang Cheng
2021 J jnl
Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces.
IEEE Trans. Cybern.
Boyu Wang, Chi Man Wong, Zhao Kang, Feng Liu, Changjian Shui, Feng Wan, C. L. Philip Chen
2021 J jnl
Domain adaptation with feature and label adversarial networks.
Neurocomputing
Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang, Kun Bai, Kaizhu Huang, Zenglin Xu
2021 A* conf
Graph Filter-based Multi-view Attributed Graph Clustering.
IJCAI
Zhiping Lin, Zhao Kang
2021 J jnl
Kernel two-dimensional ridge regression for subspace clustering.
Pattern Recognit.
Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2021 J jnl
Learning discriminative representation for image classification.
Knowl. Based Syst.
Chong Peng, Yang Liu, Xin Zhang, Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng
2021 A* conf
Multi-view Contrastive Graph Clustering.
NeurIPS
Erlin Pan, Zhao Kang
2021 J jnl
Multi-view Contrastive Graph Clustering.
CoRR
Erlin Pan, Zhao Kang
2021 J jnl
Multi-view subspace clustering via partition fusion.
Inf. Sci.
Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu
2021 J jnl
Multilayer Graph Contrastive Clustering Network.
CoRR
Liang Liu, Zhao Kang, Ling Tian, Wenbo Xu, Xixu He
2021 J jnl
Nonnegative matrix factorization with local similarity learning.
Inf. Sci.
Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2021 J jnl
Pseudo-Supervised Deep Subspace Clustering.
IEEE Trans. Image Process.
Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu
2021 J jnl
Pseudo-supervised Deep Subspace Clustering.
CoRR
Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu
2021 J jnl
Robust deep k-means: An effective and simple method for data clustering.
Pattern Recognit.
Shudong Huang, Zhao Kang, Zenglin Xu, Quanhui Liu
2021 A* conf
Self-Paced Two-dimensional PCA.
AAAI
Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen
2021 J jnl
Self-paced Principal Component Analysis.
CoRR
Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian
2021 A* conf
Self-supervised Consensus Representation Learning for Attributed Graph.
ACM Multimedia
Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian
2021 J jnl
Self-supervised Consensus Representation Learning for Attributed Graph.
CoRR
Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian
2021 J jnl
Single-Image Dehazing via Compositional Adversarial Network.
IEEE Trans. Cybern.
Hongyuan Zhu, Yi Cheng, Xi Peng, Joey Tianyi Zhou, Zhao Kang, Shijian Lu, Zhiwen Fang, Liyuan Li, Joo-Hwee Lim
2021 J jnl
Smoothed Multi-View Subspace Clustering.
CoRR
Peng Chen, Liang Liu, Zhengrui Ma, Zhao Kang
2021 — conf
Smoothed Multi-view Subspace Clustering.
NCAA
Peng Chen, Liang Liu, Zhengrui Ma, Zhao Kang
2021 J jnl
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view.
CoRR
Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu
2021 J jnl
Structured graph learning for clustering and semi-supervised classification.
Pattern Recognit.
Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
2021 J jnl
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering.
CoRR
Zhengrui Ma, Zhao Kang, Guangchun Luo, Ling Tian
2020 J jnl
Auto-weighted multi-view clustering via deep matrix decomposition.
Pattern Recognit.
Shudong Huang, Zhao Kang, Zenglin Xu
2020 J jnl
Auto-weighted multi-view co-clustering with bipartite graphs.
Inf. Sci.
Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang
2020 — conf
Deep K-Means: A Simple and Effective Method for Data Clustering.
NCAA
Shudong Huang, Zhao Kang, Zenglin Xu
2020 J jnl
Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering.
World Wide Web
Zheng Wang, Lin Zuo, Jing Ma, Si Chen, Jingjing Li, Zhao Kang, Lei Zhang
2020 — conf
Generalized Locally-Linear Embedding: A Neural Network Implementation.
NCAA
Xiao Lu, Zhao Kang, Jiachun Tang, Shuang Xie, Yuanzhang Su
2020 J jnl
Kernel Two-Dimensional Ridge Regression for Subspace Clustering.
CoRR
Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2020 A* conf
Large-Scale Multi-View Subspace Clustering in Linear Time.
AAAI
Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu
2020 J jnl
Locality-constrained group lasso coding for microvessel image classification.
Pattern Recognit. Lett.
Juan Chen, Shijie Zhou, Zhao Kang, Quan Wen
2020 J jnl
Multi-graph fusion for multi-view spectral clustering.
Knowl. Based Syst.
Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu
2020 A* conf
On Deep Unsupervised Active Learning.
IJCAI
Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang
2020 J jnl
On Deep Unsupervised Active Learning.
CoRR
Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang
2020 J jnl
Partition level multiview subspace clustering.
Neural Networks
Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu
2020 J jnl
Regularized nonnegative matrix factorization with adaptive local structure learning.
Neurocomputing
Shudong Huang, Zenglin Xu, Zhao Kang, Yazhou Ren
2020 J jnl
Relation-Guided Representation Learning.
CoRR
Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu
2020 J jnl
Relation-Guided Representation Learning.
Neural Networks
Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu
2020 J jnl
Robust Graph Learning From Noisy Data.
IEEE Trans. Cybern.
Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu
2020 J jnl
Robust principal component analysis: A factorization-based approach with linear complexity.
Inf. Sci.
Chong Peng, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2020 J jnl
Structure learning with similarity preserving.
Neural Networks
Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu
2020 J jnl
Structured Graph Learning for Clustering and Semi-supervised Classification.
CoRR
Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
2020 A* conf
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering.
ACM Multimedia
Zhengrui Ma, Zhao Kang, Guangchun Luo, Ling Tian, Wenyu Chen
2020 J jnl
Two birds with one stone: Transforming and generating facial images with iterative GAN.
Neurocomputing
Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu
2020 J jnl
Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering.
CoRR
Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2019 J jnl
Auto-weighted multi-view clustering via kernelized graph learning.
Pattern Recognit.
Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu
2019 J jnl
Clustering with Similarity Preserving.
CoRR
Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu
2019 J jnl
Clustering with similarity preserving.
Neurocomputing
Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu
2019 J jnl
Large-scale Multi-view Subspace Clustering in Linear Time.
CoRR
Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu
2019 C conf
Latent Multi-view Semi-Supervised Classification.
ACML
Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen
2019 J jnl
Latent Multi-view Semi-Supervised Classification.
CoRR
Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen
2019 J jnl
Low-rank Kernel Learning for Graph-based Clustering.
CoRR
Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu
2019 J jnl
Low-rank kernel learning for graph-based clustering.
Knowl. Based Syst.
Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu
2019 J jnl
Multi-graph Fusion for Multi-view Spectral Clustering.
CoRR
Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu
2019 J jnl
Multi-view Subspace Clustering via Partition Fusion.
CoRR
Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu
2019 A* conf
Multiple Partitions Aligned Clustering.
IJCAI
Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
2019 J jnl
Multiple Partitions Aligned Clustering.
CoRR
Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
2019 J jnl
Nonnegative Matrix Factorization with Local Similarity Learning.
CoRR
Chong Peng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2019 A* conf
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices.
CVPR
Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng
2019 J jnl
RES-PCA: A Scalable Approach to Recovering Low-rank Matrices.
CoRR
Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng
2019 A* conf
Similarity Learning via Kernel Preserving Embedding.
AAAI
Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu
2019 J jnl
Similarity Learning via Kernel Preserving Embedding.
CoRR
Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu
2019 J jnl
Structure Learning with Similarity Preserving.
CoRR
Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu
2018 J jnl
Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations.
Symmetry
Shuting Cai, Zhao Kang, Ming Yang, Xiaoming Xiong, Chong Peng, Mingqing Xiao
2018 J jnl
Integrate and Conquer: Double-Sided Two-Dimensional
ACM Trans. Intell. Syst. Technol.
Chong Peng, Zhao Kang, Shuting Cai, Qiang Cheng
2018 J jnl
Robust Graph Learning from Noisy Data.
CoRR
Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu
2018 A* conf
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.
IJCAI
Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
2018 J jnl
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.
CoRR
Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
2018 J jnl
Self-weighted multi-view clustering with soft capped norm.
Knowl. Based Syst.
Shudong Huang, Zhao Kang, Zenglin Xu
2018 A* conf
Unified Spectral Clustering With Optimal Graph.
AAAI
Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu
2017 A* conf
Clustering with Adaptive Manifold Structure Learning.
ICDE
Zhao Kang, Chong Peng, Qiang Cheng
2017 — conf
Exploiting Nonlinear Relationships for Top-N Recommender Systems.
ICBK
Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2017 J jnl
Image Projection Ridge Regression for Subspace Clustering.
IEEE Signal Process. Lett.
Chong Peng, Zhao Kang, Fei Xu, Yongyong Chen, Qiang Cheng
2017 J jnl
Integrating feature and graph learning with low-rank representation.
Neurocomputing
Chong Peng, Zhao Kang, Qiang Cheng
2017 J jnl
Kernel-driven similarity learning.
Neurocomputing
Zhao Kang, Chong Peng, Qiang Cheng
2017 J jnl
Nonnegative Matrix Factorization with Integrated Graph and Feature Learning.
ACM Trans. Intell. Syst. Technol.
Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng
2017 J jnl
Robust Graph Regularized Nonnegative Matrix Factorization for Clustering.
ACM Trans. Knowl. Discov. Data
Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng
2017 A* conf
Subspace Clustering via Variance Regularized Ridge Regression.
CVPR
Chong Peng, Zhao Kang, Qiang Cheng
2017 A* conf
Twin Learning for Similarity and Clustering: A Unified Kernel Approach.
AAAI
Zhao Kang, Chong Peng, Qiang Cheng
2017 J jnl
Twin Learning for Similarity and Clustering: A Unified Kernel Approach.
CoRR
Zhao Kang, Chong Peng, Qiang Cheng
2017 J jnl
Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs.
CoRR
Dan Ma, Bin Liu, Zhao Kang, Jianke Zhu, Zenglin Xu
2017 J jnl
Unified Spectral Clustering with Optimal Graph.
CoRR
Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu
2016 A* conf
A Fast Factorization-Based Approach to Robust PCA.
ICDM
Chong Peng, Zhao Kang, Qiang Cheng
2016 J jnl
A Fast Factorization-based Approach to Robust PCA.
CoRR
Chong Peng, Zhao Kang, Qiang Chen
2016 J jnl
Feature Selection Embedded Subspace Clustering.
IEEE Signal Process. Lett.
Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng
2016 A conf
RAP: Scalable RPCA for Low-rank Matrix Recovery.
CIKM
Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng
2016 A conf
Top-N Recommendation on Graphs.
CIKM
Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2016 J jnl
Top-N Recommendation on Graphs.
CoRR
Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2016 A conf
Top-N Recommendation with Novel Rank Approximation.
SDM
Zhao Kang, Qiang Cheng
2016 J jnl
Top-N Recommendation with Novel Rank Approximation.
CoRR
Zhao Kang, Qiang Cheng
2016 A* conf
Top-N Recommender System via Matrix Completion.
AAAI
Zhao Kang, Chong Peng, Qiang Cheng
2016 J jnl
Top-N Recommender System via Matrix Completion.
CoRR
Zhao Kang, Chong Peng, Qiang Cheng
2015 J jnl
LogDet Rank Minimization with Application to Subspace Clustering.
Comput. Intell. Neurosci.
Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng
2015 J jnl
LogDet Rank Minimization with Application to Subspace Clustering.
CoRR
Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng
2015 A* conf
Robust PCA Via Nonconvex Rank Approximation.
ICDM
Zhao Kang, Chong Peng, Qiang Cheng
2015 J jnl
Robust PCA via Nonconvex Rank Approximation.
CoRR
Zhao Kang, Chong Peng, Qiang Cheng
2015 J jnl
Robust Subspace Clustering via Smoothed Rank Approximation.
CoRR
Zhao Kang, Chong Peng, Qiang Cheng
2015 J jnl
Robust Subspace Clustering via Smoothed Rank Approximation.
IEEE Signal Process. Lett.
Zhao Kang, Chong Peng, Qiang Cheng
2015 A conf
Robust Subspace Clustering via Tighter Rank Approximation.
CIKM
Zhao Kang, Chong Peng, Qiang Cheng
2015 J jnl
Robust Subspace Clustering via Tighter Rank Approximation.
CoRR
Zhao Kang, Chong Peng, Qiang Cheng
2015 A* conf
Subspace Clustering Using Log-determinant Rank Approximation.
KDD
Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng