Robust Subspace Clustering via Tighter Rank Approximation. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (CIKM, 2015)

Robust PCA Via Nonconvex Rank Approximation. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (ICDM, 2015)

Subspace Clustering Using Log-determinant Rank Approximation. - Chong Peng 001; Zhao Kang 001; Huiqing Li; Qiang Cheng 001 (KDD, 2015)

LogDet Rank Minimization with Application to Subspace Clustering. - Zhao Kang 001; Chong Peng 001; Jie Cheng 002; Qiang Cheng 001 (Comput. Intell. Neurosci., 2015)

Robust Subspace Clustering via Smoothed Rank Approximation. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (IEEE Signal Process. Lett., 2015)

Top-N Recommender System via Matrix Completion. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (AAAI, 2016)

Top-N Recommendation on Graphs. - Zhao Kang 001; Chong Peng 001; Ming Yang 024; Qiang Cheng 001 (CIKM, 2016)

RAP: Scalable RPCA for Low-rank Matrix Recovery. - Chong Peng 001; Zhao Kang 001; Ming Yang 024; Qiang Cheng 001 (CIKM, 2016)

A Fast Factorization-Based Approach to Robust PCA. - Chong Peng 001; Zhao Kang 001; Qiang Cheng 001 (ICDM, 2016)

Top-N Recommendation with Novel Rank Approximation. - Zhao Kang 001; Qiang Cheng 001 (SDM, 2016)

A Fast Factorization-based Approach to Robust PCA. - Chong Peng 001; Zhao Kang 001; Qiang Chen (CoRR, 2016)

Feature Selection Embedded Subspace Clustering. - Chong Peng 001; Zhao Kang 001; Ming Yang 024; Qiang Cheng 001 (IEEE Signal Process. Lett., 2016)

Twin Learning for Similarity and Clustering: A Unified Kernel Approach. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (AAAI, 2017)

Subspace Clustering via Variance Regularized Ridge Regression. - Chong Peng 001; Zhao Kang 001; Qiang Cheng 001 (CVPR, 2017)

Exploiting Nonlinear Relationships for Top-N Recommender Systems. - Zhao Kang 001; Chong Peng 001; Ming Yang 024; Qiang Cheng 001 (ICBK, 2017)

Clustering with Adaptive Manifold Structure Learning. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (ICDE, 2017)

Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs. - Dan Ma 005; Bin Liu 022; Zhao Kang 001; Jianke Zhu; Zenglin Xu (CoRR, 2017)

Kernel-driven similarity learning. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (Neurocomputing, 2017)

Integrating feature and graph learning with low-rank representation. - Chong Peng 001; Zhao Kang 001; Qiang Cheng 001 (Neurocomputing, 2017)

Image Projection Ridge Regression for Subspace Clustering. - Chong Peng 001; Zhao Kang 001; Fei Xu 005; Yongyong Chen; Qiang Cheng 001 (IEEE Signal Process. Lett., 2017)

Nonnegative Matrix Factorization with Integrated Graph and Feature Learning. - Chong Peng 001; Zhao Kang 001; Yunhong Hu; Jie Cheng 002; Qiang Cheng 001 (ACM Trans. Intell. Syst. Technol., 2017)

Robust Graph Regularized Nonnegative Matrix Factorization for Clustering. - Chong Peng 001; Zhao Kang 001; Yunhong Hu; Jie Cheng 002; Qiang Cheng 001 (ACM Trans. Knowl. Discov. Data, 2017)

Unified Spectral Clustering With Optimal Graph. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001; Zenglin Xu (AAAI, 2018)

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification. - Zhao Kang 001; Xiao Lu 004; Jinfeng Yi; Zenglin Xu (IJCAI, 2018)

Self-weighted multi-view clustering with soft capped norm. - Shudong Huang; Zhao Kang 001; Zenglin Xu (Knowl. Based Syst., 2018)

Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations. - Shuting Cai; Zhao Kang 001; Ming Yang 024; Xiaoming Xiong; Chong Peng 001; Mingqing Xiao 001 (Symmetry, 2018)

Integrate and Conquer: Double-Sided Two-Dimensional k-Means Via Integrating of Projection and Manifold Construction. - Chong Peng 001; Zhao Kang 001; Shuting Cai; Qiang Cheng 001 (ACM Trans. Intell. Syst. Technol., 2018)

Similarity Learning via Kernel Preserving Embedding. - Zhao Kang 001; Yiwei Lu; Yuanzhang Su; Changsheng Li; Zenglin Xu (AAAI, 2019)

Latent Multi-view Semi-Supervised Classification. - Xiaofan Bo; Zhao Kang 001; Zhitong Zhao; Yuanzhang Su; Wenyu Chen 001 (ACML, 2019)

RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices. - Chong Peng 001; Chenglizhao Chen; Zhao Kang 001; Jianbo Li; Qiang Cheng 001 (CVPR, 2019)

Multiple Partitions Aligned Clustering. - Zhao Kang 001; Zipeng Guo; Shudong Huang; Siying Wang 002; Wenyu Chen 001; Yuanzhang Su; Zenglin Xu (IJCAI, 2019)

Nonnegative Matrix Factorization with Local Similarity Learning. - Chong Peng 001; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (CoRR, 2019)

Structure Learning with Similarity Preserving. - Zhao Kang 001; Xiao Lu 004; Yiwei Lu; Chong Peng 001; Zenglin Xu (CoRR, 2019)

Clustering with similarity preserving. - Zhao Kang 001; Honghui Xu; Boyu Wang 004; Hongyuan Zhu; Zenglin Xu (Neurocomputing, 2019)

Low-rank kernel learning for graph-based clustering. - Zhao Kang 001; Liangjian Wen; Wenyu Chen 001; Zenglin Xu (Knowl. Based Syst., 2019)

Auto-weighted multi-view clustering via kernelized graph learning. - Shudong Huang; Zhao Kang 001; Ivor W. Tsang; Zenglin Xu (Pattern Recognit., 2019)

Large-Scale Multi-View Subspace Clustering in Linear Time. - Zhao Kang 001; Wangtao Zhou; Zhitong Zhao; Junming Shao; Meng Han; Zenglin Xu (AAAI, 2020)

On Deep Unsupervised Active Learning. - Changsheng Li; Handong Ma; Zhao Kang 001; Ye Yuan 001; Xiaoyu Zhang 002; Guoren Wang (IJCAI, 2020)

Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering. - Zhengrui Ma; Zhao Kang 001; Guangchun Luo; Ling Tian; Wenyu Chen 001 (ACM Multimedia, 2020)

Deep K-Means: A Simple and Effective Method for Data Clustering. - Shudong Huang; Zhao Kang 001; Zenglin Xu (NCAA, 2020)

Generalized Locally-Linear Embedding: A Neural Network Implementation. - Xiao Lu 004; Zhao Kang 001; Jiachun Tang; Shuang Xie; Yuanzhang Su (NCAA, 2020)

Regularized nonnegative matrix factorization with adaptive local structure learning. - Shudong Huang; Zenglin Xu; Zhao Kang 001; Yazhou Ren 001 (Neurocomputing, 2020)

Two birds with one stone: Transforming and generating facial images with iterative GAN. - Dan Ma 005; Bin Liu 022; Zhao Kang 001; Jiayu Zhou; Jianke Zhu; Zenglin Xu (Neurocomputing, 2020)

Auto-weighted multi-view co-clustering with bipartite graphs. - Shudong Huang; Zenglin Xu; Ivor W. Tsang; Zhao Kang 001 (Inf. Sci., 2020)

Robust principal component analysis: A factorization-based approach with linear complexity. - Chong Peng 001; Yongyong Chen; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (Inf. Sci., 2020)

Multi-graph fusion for multi-view spectral clustering. - Zhao Kang 001; Guoxin Shi; Shudong Huang; Wenyu Chen 001; Xiaorong Pu; Joey Tianyi Zhou; Zenglin Xu (Knowl. Based Syst., 2020)

Relation-Guided Representation Learning. - Zhao Kang 001; Xiao Lu 004; Jian Liang 002; Kun Bai; Zenglin Xu (Neural Networks, 2020)

Structure learning with similarity preserving. - Zhao Kang 001; Xiao Lu 004; Yiwei Lu; Chong Peng 001; Wenyu Chen 001; Zenglin Xu (Neural Networks, 2020)

Partition level multiview subspace clustering. - Zhao Kang 001; Xinjia Zhao; Chong Peng 001; Hongyuan Zhu; Joey Tianyi Zhou; Xi Peng 001; Wenyu Chen 001; Zenglin Xu (Neural Networks, 2020)

Auto-weighted multi-view clustering via deep matrix decomposition. - Shudong Huang; Zhao Kang 001; Zenglin Xu (Pattern Recognit., 2020)

Locality-constrained group lasso coding for microvessel image classification. - Juan Chen; Shijie Zhou 003; Zhao Kang 001; Quan Wen (Pattern Recognit. Lett., 2020)

Robust Graph Learning From Noisy Data. - Zhao Kang 001; Haiqi Pan; Steven C. H. Hoi; Zenglin Xu (IEEE Trans. Cybern., 2020)

Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering. - Zheng Wang 044; Lin Zuo; Jing Ma 004; Si Chen; Jingjing Li 001; Zhao Kang 001; Lei Zhang (World Wide Web, 2020)

Self-Paced Two-dimensional PCA. - Jiangxin Li; Zhao Kang 001; Chong Peng 001; Wenyu Chen 001 (AAAI, 2021)

Graph Filter-based Multi-view Attributed Graph Clustering. - Zhiping Lin 003; Zhao Kang 001 (IJCAI, 2021)

Self-supervised Consensus Representation Learning for Attributed Graph. - Changshu Liu; Liangjian Wen; Zhao Kang 001; Guangchun Luo; Ling Tian (ACM Multimedia, 2021)

Smoothed Multi-view Subspace Clustering. - Peng Chen; Liang Liu; Zhengrui Ma; Zhao Kang 001 (NCAA, 2021)

Multi-view Contrastive Graph Clustering. - Erlin Pan; Zhao Kang 001 (NeurIPS, 2021)

Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view. - Zhao Kang 001; Zhiping Lin 003; Xiaofeng Zhu 001; Wenbo Xu 004 (CoRR, 2021)

Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering. - Zhengrui Ma; Zhao Kang 001; Guangchun Luo; Ling Tian (CoRR, 2021)

Multilayer Graph Contrastive Clustering Network. - Liang Liu; Zhao Kang 001; Ling Tian; Wenbo Xu 004; Xixu He (CoRR, 2021)

Domain adaptation with feature and label adversarial networks. - Peng Zhao; Wenhua Zang; Bin Liu 022; Zhao Kang 001; Kun Bai; Kaizhu Huang; Zenglin Xu (Neurocomputing, 2021)

Multi-view subspace clustering via partition fusion. - Juncheng Lv; Zhao Kang 001; Boyu Wang 004; Luping Ji; Zenglin Xu (Inf. Sci., 2021)

Nonnegative matrix factorization with local similarity learning. - Chong Peng 001; Zhilu Zhang; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (Inf. Sci., 2021)

Learning discriminative representation for image classification. - Chong Peng 001; Yang Liu; Xin Zhang; Zhao Kang 001; Yongyong Chen; Chenglizhao Chen; Qiang Cheng 001 (Knowl. Based Syst., 2021)

Robust deep k-means: An effective and simple method for data clustering. - Shudong Huang; Zhao Kang 001; Zenglin Xu; Quanhui Liu (Pattern Recognit., 2021)

Structured graph learning for clustering and semi-supervised classification. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001; Xinwang Liu 002; Xi Peng 001; Zenglin Xu; Ling Tian (Pattern Recognit., 2021)

Kernel two-dimensional ridge regression for subspace clustering. - Chong Peng 001; Qian Zhang; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (Pattern Recognit., 2021)

Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces. - Boyu Wang 004; Chi Man Wong; Zhao Kang 001; Feng Liu 011; Changjian Shui; Feng Wan; C. L. Philip Chen (IEEE Trans. Cybern., 2021)

Single-Image Dehazing via Compositional Adversarial Network. - Hongyuan Zhu; Yi Cheng; Xi Peng 001; Joey Tianyi Zhou; Zhao Kang 001; Shijian Lu; Zhiwen Fang; Liyuan Li; Joo-Hwee Lim (IEEE Trans. Cybern., 2021)

Pseudo-Supervised Deep Subspace Clustering. - Juncheng Lv; Zhao Kang 001; Xiao Lu 004; Zenglin Xu (IEEE Trans. Image Process., 2021)

Eliminating Gradient Conflict in Reference-based Line-Art Colorization. - Zekun Li 002; Zhengyang Geng; Zhao Kang 001; Wenyu Chen 001; Yibo Yang (ECCV (17), 2022)

Structure-Preserving Graph Representation Learning. - Ruiyi Fang; Liangjian Wen; Zhao Kang 001; Jianzhuang Liu (ICDM, 2022)

Fine-grained Attributed Graph Clustering. - Zhao Kang 001; Zhanyu Liu; Shirui Pan; Ling Tian (SDM, 2022)

Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization. - Chong Peng 001; Yang Liu; Yongyong Chen; Xinxin Wu; Andrew Cheng; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (CoRR, 2022)

Multilayer graph contrastive clustering network. - Liang Liu; Zhao Kang 001; Jiajia Ruan; Xixu He (Inf. Sci., 2022)

Two-dimensional semi-nonnegative matrix factorization for clustering. - Chong Peng 001; Zhilu Zhang; Chenglizhao Chen; Zhao Kang 001; Qiang Cheng 001 (Inf. Sci., 2022)

Graph Fusion Network for Text Classification. - Yong Dai 001; Linjun Shou; Ming Gong 001; Xiaolin Xia; Zhao Kang 001; Zenglin Xu; Daxin Jiang (Knowl. Based Syst., 2022)

Log-based sparse nonnegative matrix factorization for data representation. - Chong Peng 001; Yiqun Zhang; Yongyong Chen; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (Knowl. Based Syst., 2022)

Preserving bilateral view structural information for subspace clustering. - Chong Peng 001; Jing Zhang; Yongyong Chen; Xin Xing; Chenglizhao Chen; Zhao Kang 001; Li Guo 016; Qiang Cheng 001 (Knowl. Based Syst., 2022)

Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization. - Qian Zhang; Zhao Kang 001; Zenglin Xu; Shudong Huang; Hongguang Fu (Knowl. Based Syst., 2022)

Scalable multi-view clustering with graph filtering. - Liang Liu; Peng Chen; Guangchun Luo; Zhao Kang 001; Yonggang Luo; Sanchu Han (Neural Comput. Appl., 2022)

Multi-local feature relation network for few-shot learning. - Li Ren; Guiduo Duan; Tianxi Huang; Zhao Kang 001 (Neural Comput. Appl., 2022)

Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview. - Zhao Kang 001; Zhiping Lin 003; Xiaofeng Zhu 001; Wenbo Xu 004 (IEEE Trans. Cybern., 2022)

Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization. - Chong Peng 001; Yang Liu; Kehan Kang; Yongyong Chen; Xinxing Wu; Andrew Cheng; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering. - Erlin Pan; Zhao Kang 001 (ICML, 2023)

Contrastive Kernel Subspace Clustering. - Qian Zhang; Zhao Kang 001; Zenglin Xu; Hongguang Fu (ICONIP (5), 2023)

TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection. - Quanjiang Guo; Zhao Kang 001; Ling Tian; Zhouguo Chen (IJCNN, 2023)

Self-Attention-Based Reconstruction for Planetary Magnetic Field. - Ziqian Yan; Zhao Kang 001; Ling Tian (NCAA (1), 2023)

Document-Level Relation Extraction with Cross-sentence Reasoning Graph. - Hongfei Liu; Zhao Kang 001; Lizong Zhang; Ling Tian; Fujun Hua (PAKDD (1), 2023)

Spacecraft Anomaly Detection with Attention Temporal Convolution Network. - Liang Liu; Ling Tian; Zhao Kang 001; Tianqi Wan (CoRR, 2023)

Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction. - Wang-Tao Zhou; Zhao Kang 001; Ling Tian (CoRR, 2023)

Label shift conditioned hybrid querying for deep active learning. - Jiaqi Li 005; Haojia Kong; Gezheng Xu; Changjian Shui; Ruizhi Pu; Zhao Kang 001; Charles X. Ling; Boyu Wang 004 (Knowl. Based Syst., 2023)

Multi-View Attributed Graph Clustering. - Zhiping Lin 003; Zhao Kang 001; Lizong Zhang; Ling Tian (IEEE Trans. Knowl. Data Eng., 2023)

Spacecraft anomaly detection with attention temporal convolution networks. - Liang Liu; Ling Tian; Zhao Kang 001; Tianqi Wan (Neural Comput. Appl., 2023)

Contrastive graph clustering with adaptive filter. - Xuanting Xie; Wenyu Chen 001; Zhao Kang 001; Chong Peng 001 (Expert Syst. Appl., 2023)

Intensity-free convolutional temporal point process: Incorporating local and global event contexts. - Wang-Tao Zhou; Zhao Kang 001; Ling Tian; Yi Su (Inf. Sci., 2023)

Self-paced principal component analysis. - Zhao Kang 001; Hongfei Liu; Jiangxin Li; Xiaofeng Zhu 001; Ling Tian (Pattern Recognit., 2023)

Global and local similarity learning in multi-kernel space for nonnegative matrix factorization. - Chong Peng 001; Xingrong Hou; Yongyong Chen; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (Knowl. Based Syst., 2023)

Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling. - Lingling Zhang 006; Zhiwei Zhang; Guoren Wang; Ye Yuan 001; Zhao Kang 001 (IEEE Trans. Knowl. Data Eng., 2023)

High-order multi-view clustering for generic data. - Erlin Pan; Zhao Kang 001 (Inf. Fusion, 2023)

PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering. - Bingheng Li; Erlin Pan; Zhao Kang 001 (AAAI, 2024)

Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering. - Xiaowei Qian; Bingheng Li; Zhao Kang 001 (AAAI, 2024)

FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction. - Xudong Zhu; Zhao Kang 001; Bei Hui (LREC/COLING, 2024)

Fine-Grained Bipartite Concept Factorization for Clustering. - Chong Peng 001; Pengfei Zhang; Yongyong Chen; Zhao Kang 001; Chenglizhao Chen; Qiang Shawn Cheng (CVPR, 2024)

Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering. - Yu Zhang 193; Kehai Chen; Xuefeng Bai 001; Zhao Kang 001; Quanjiang Guo; Min Zhang 005 (EMNLP (Findings), 2024)

EMKG: Efficient Matchings for Knowledge Graph Integration in Stance Detection. - Yuhang Cheng; Kaiwen Li; Zhao Kang 001 (IJCNN, 2024)

TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction. - Yu Zhang 193; Zhao Kang 001 (IJCNN, 2024)

Balanced Multi-Relational Graph Clustering. - Zhixiang Shen; Haolan He; Zhao Kang 001 (ACM Multimedia, 2024)

Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning. - Zhixiang Shen; Shuo Wang; Zhao Kang 001 (NeurIPS, 2024)

Dual-GTF: Enhancing Community Detection with Dual-Scale Game Theoretic Framework. - Haodong Shi; Zhao Kang 001; Ke Yan; Sicong Liu; Yichen Xin (SMC, 2024)

Provable Filter for Real-world Graph Clustering. - Xuanting Xie; Erlin Pan; Zhao Kang 001; Wenyu Chen 001; Bingheng Li (CoRR, 2024)

Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering. - Chong Peng 001; Kehan Kang; Yongyong Chen; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (IEEE Trans. Image Process., 2024)

Multigraph Fusion for Dynamic Graph Convolutional Network. - Jiangzhang Gan; Rongyao Hu; Yujie Mo; Zhao Kang 001; Liang Peng; Yonghua Zhu; Xiaofeng Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-view subspace clustering using drop out technique on points. - Fatemeh Sadjadi; Mina Jamshidi; Zhao Kang 001 (Int. J. Mach. Learn. Cybern., 2024)

A Prototype-Based Neural Network for Image Anomaly Detection and Localization. - Chao Huang; Zhao Kang 001; Hong Wu (Neural Process. Lett., 2024)

One Node One Model: Featuring the Missing-Half for Graph Clustering. - Xuanting Xie; Bingheng Li; Erlin Pan; Zhaochen Guo; Zhao Kang 001; Wenyu Chen 001 (AAAI, 2025)

BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition. - Quanjiang Guo; Yihong Dong; Ling Tian; Zhao Kang 001; Yu Zhang 193; Sijie Wang (COLING, 2025)

ENGCL: Graph Contrastive Learning via Ego-Preservation and Neighborhood Learning. - Wenqiang Du; Quanjiang Guo; Ming Jia; Ke Yan; Zhao Kang 001 (ICIC (10), 2025)

Gradual Social Network Alignment with Relation Augmentation and Multi-view Embedding. - Jingyuan Duan; Wangtao Zhou; Zhao Kang 001; Ke Yan (ICIC (8), 2025)

On the Benefits of Attribute-Driven Graph Domain Adaptation. - Ruiyi Fang; Bingheng Li; Zhao Kang 001; Qiuhao Zeng; Nima Hosseini Dashtbayaz; Ruizhi Pu; Charles Ling 001; Boyu Wang 004 (ICLR, 2025)

Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph. - Wang-Tao Zhou; Zhao Kang 001; Sicong Liu; Lizong Zhang; Ling Tian (SDM, 2025)

Non-autoregressive diffusion-based temporal point processes for continuous-time long-term event prediction. - Wang-Tao Zhou; Zhao Kang 001; Ling Tian; Jinchuan Zhang; Yumeng Liu (Expert Syst. Appl., 2025)

Multi-level social network alignment via adversarial learning and graphlet modeling. - Jingyuan Duan; Zhao Kang 001; Ling Tian; Yichen Xin (Neural Networks, 2025)

Simplified PCNet with robustness. - Bingheng Li; Xuanting Xie; Haoxiang Lei; Ruiyi Fang; Zhao Kang 001 (Neural Networks, 2025)

Robust graph structure learning under heterophily. - Xuanting Xie; Wenyu Chen 001; Zhao Kang 001 (Neural Networks, 2025)

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment. - Shuo Wang; Bokui Wang; Zhixiang Shen; Boyan Deng; Zhao Kang 001 (CoRR, 2025)

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training. - Quanjiang Guo; Jinchuan Zhang; Sijie Wang; Ling Tian; Zhao Kang 001; Bin Yan; Weidong Xiao (CoRR, 2025)

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin. - Shuo Wang; Shunyang Huang; Jinghui Yuan; Zhixiang Shen; Zhao Kang 001 (CoRR, 2025)

When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning. - Zhixiang Shen; Zhao Kang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Disentangling Homophily and Heterophily in Multimodal Graph Clustering. - Zhaochen Guo; Zhixiang Shen; Xuanting Xie; Liangjian Wen; Zhao Kang 001 (CoRR, 2025)

Aggregation-aware MLP: An Unsupervised Approach for Graph Message-passing. - Xuanting Xie; Bingheng Li; Erlin Pan; Zhao Kang 001; Wenyu Chen 001 (CoRR, 2025)

CDC: A Simple Framework for Complex Data Clustering. - Zhao Kang 001; Xuanting Xie; Bingheng Li; Erlin Pan (IEEE Trans. Neural Networks Learn. Syst., 2025)