2025
Simplified PCNet with robustness.
Neural Networks, 2025
Non-autoregressive diffusion-based temporal point processes for continuous-time long-term event prediction.
Expert Syst. Appl., 2025
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
A Prototype-Based Neural Network for Image Anomaly Detection and Localization.
Neural Process. Lett., June, 2024
Multi-view subspace clustering using drop out technique on points.
Int. J. Mach. Learn. Cybern., May, 2024
Multigraph Fusion for Dynamic Graph Convolutional Network.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering.
IEEE Trans. Image Process., 2024
One Node One Model: Featuring the Missing-Half for Graph Clustering.
CoRR, 2024
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning.
CoRR, 2024
CDC: A Simple Framework for Complex Data Clustering.
CoRR, 2024
Provable Filter for Real-world Graph Clustering.
CoRR, 2024
Robust Graph Structure Learning under Heterophily.
CoRR, 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Balanced Multi-Relational Graph Clustering.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction.
Proceedings of the International Joint Conference on Neural Networks, 2024
EMKG: Efficient Matchings for Knowledge Graph Integration in Stance Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Fine-Grained Bipartite Concept Factorization for Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
High-order multi-view clustering for generic data.
Inf. Fusion, December, 2023
Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling.
IEEE Trans. Knowl. Data Eng., November, 2023
Global and local similarity learning in multi-kernel space for nonnegative matrix factorization.
Knowl. Based Syst., November, 2023
Self-paced principal component analysis.
Pattern Recognit., October, 2023
Intensity-free convolutional temporal point process: Incorporating local and global event contexts.
Inf. Sci., October, 2023
Contrastive graph clustering with adaptive filter.
Expert Syst. Appl., June, 2023
Spacecraft anomaly detection with attention temporal convolution networks.
Neural Comput. Appl., May, 2023
Multi-View Attributed Graph Clustering.
IEEE Trans. Knowl. Data Eng., 2023
Label shift conditioned hybrid querying for deep active learning.
Knowl. Based Syst., 2023
Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction.
CoRR, 2023
Spacecraft Anomaly Detection with Attention Temporal Convolution Network.
CoRR, 2023
Document-Level Relation Extraction with Cross-sentence Reasoning Graph.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Self-Attention-Based Reconstruction for Planetary Magnetic Field.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection.
Proceedings of the International Joint Conference on Neural Networks, 2023
Contrastive Kernel Subspace Clustering.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering.
Proceedings of the International Conference on Machine Learning, 2023
2022
Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization.
IEEE Trans. Geosci. Remote. Sens., 2022
Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview.
IEEE Trans. Cybern., 2022
Multi-local feature relation network for few-shot learning.
Neural Comput. Appl., 2022
Scalable multi-view clustering with graph filtering.
Neural Comput. Appl., 2022
Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization.
Knowl. Based Syst., 2022
Preserving bilateral view structural information for subspace clustering.
Knowl. Based Syst., 2022
Log-based sparse nonnegative matrix factorization for data representation.
Knowl. Based Syst., 2022
Graph Fusion Network for Text Classification.
Knowl. Based Syst., 2022
Two-dimensional semi-nonnegative matrix factorization for clustering.
Inf. Sci., 2022
Multilayer graph contrastive clustering network.
Inf. Sci., 2022
Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization.
CoRR, 2022
Fine-grained Attributed Graph Clustering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Structure-Preserving Graph Representation Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022
Eliminating Gradient Conflict in Reference-based Line-Art Colorization.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Pseudo-Supervised Deep Subspace Clustering.
IEEE Trans. Image Process., 2021
Single-Image Dehazing via Compositional Adversarial Network.
IEEE Trans. Cybern., 2021
Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces.
IEEE Trans. Cybern., 2021
Kernel two-dimensional ridge regression for subspace clustering.
Pattern Recognit., 2021
Structured graph learning for clustering and semi-supervised classification.
Pattern Recognit., 2021
Robust deep k-means: An effective and simple method for data clustering.
Pattern Recognit., 2021
Learning discriminative representation for image classification.
Knowl. Based Syst., 2021
Nonnegative matrix factorization with local similarity learning.
Inf. Sci., 2021
Multi-view subspace clustering via partition fusion.
Inf. Sci., 2021
Domain adaptation with feature and label adversarial networks.
Neurocomputing, 2021
Multilayer Graph Contrastive Clustering Network.
CoRR, 2021
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering.
CoRR, 2021
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view.
CoRR, 2021
Multi-view Contrastive Graph Clustering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Smoothed Multi-view Subspace Clustering.
Proceedings of the Neural Computing for Advanced Applications, 2021
Self-supervised Consensus Representation Learning for Attributed Graph.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Graph Filter-based Multi-view Attributed Graph Clustering.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Self-Paced Two-dimensional PCA.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering.
World Wide Web, 2020
Robust Graph Learning From Noisy Data.
IEEE Trans. Cybern., 2020
Locality-constrained group lasso coding for microvessel image classification.
Pattern Recognit. Lett., 2020
Auto-weighted multi-view clustering via deep matrix decomposition.
Pattern Recognit., 2020
Partition level multiview subspace clustering.
Neural Networks, 2020
Structure learning with similarity preserving.
Neural Networks, 2020
Relation-Guided Representation Learning.
Neural Networks, 2020
Multi-graph fusion for multi-view spectral clustering.
Knowl. Based Syst., 2020
Robust principal component analysis: A factorization-based approach with linear complexity.
Inf. Sci., 2020
Auto-weighted multi-view co-clustering with bipartite graphs.
Inf. Sci., 2020
Two birds with one stone: Transforming and generating facial images with iterative GAN.
Neurocomputing, 2020
Regularized nonnegative matrix factorization with adaptive local structure learning.
Neurocomputing, 2020
Generalized Locally-Linear Embedding: A Neural Network Implementation.
Proceedings of the Neural Computing for Advanced Applications, 2020
Deep K-Means: A Simple and Effective Method for Data Clustering.
Proceedings of the Neural Computing for Advanced Applications, 2020
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
On Deep Unsupervised Active Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Large-Scale Multi-View Subspace Clustering in Linear Time.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Auto-weighted multi-view clustering via kernelized graph learning.
Pattern Recognit., 2019
Low-rank kernel learning for graph-based clustering.
Knowl. Based Syst., 2019
Clustering with similarity preserving.
Neurocomputing, 2019
Structure Learning with Similarity Preserving.
CoRR, 2019
Nonnegative Matrix Factorization with Local Similarity Learning.
CoRR, 2019
Multiple Partitions Aligned Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Latent Multi-view Semi-Supervised Classification.
Proceedings of The 11th Asian Conference on Machine Learning, 2019
Similarity Learning via Kernel Preserving Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Integrate and Conquer: Double-Sided Two-Dimensional <i>k</i>-Means Via Integrating of Projection and Manifold Construction.
ACM Trans. Intell. Syst. Technol., 2018
Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations.
Symmetry, 2018
Self-weighted multi-view clustering with soft capped norm.
Knowl. Based Syst., 2018
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Unified Spectral Clustering With Optimal Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Robust Graph Regularized Nonnegative Matrix Factorization for Clustering.
ACM Trans. Knowl. Discov. Data, 2017
Nonnegative Matrix Factorization with Integrated Graph and Feature Learning.
ACM Trans. Intell. Syst. Technol., 2017
Image Projection Ridge Regression for Subspace Clustering.
IEEE Signal Process. Lett., 2017
Integrating feature and graph learning with low-rank representation.
Neurocomputing, 2017
Kernel-driven similarity learning.
Neurocomputing, 2017
Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs.
CoRR, 2017
Clustering with Adaptive Manifold Structure Learning.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Exploiting Nonlinear Relationships for Top-N Recommender Systems.
Proceedings of the IEEE International Conference on Big Knowledge, 2017
Subspace Clustering via Variance Regularized Ridge Regression.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Twin Learning for Similarity and Clustering: A Unified Kernel Approach.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Feature Selection Embedded Subspace Clustering.
IEEE Signal Process. Lett., 2016
A Fast Factorization-based Approach to Robust PCA.
CoRR, 2016
Top-N Recommendation with Novel Rank Approximation.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
A Fast Factorization-Based Approach to Robust PCA.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
RAP: Scalable RPCA for Low-rank Matrix Recovery.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Top-N Recommendation on Graphs.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Top-N Recommender System via Matrix Completion.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Robust Subspace Clustering via Smoothed Rank Approximation.
IEEE Signal Process. Lett., 2015
LogDet Rank Minimization with Application to Subspace Clustering.
Comput. Intell. Neurosci., 2015
Subspace Clustering Using Log-determinant Rank Approximation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Robust PCA Via Nonconvex Rank Approximation.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Robust Subspace Clustering via Tighter Rank Approximation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015