Weixuan Liang

Orcid: 0000-0002-1868-5445

According to our database1, Weixuan Liang authored at least 29 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection.
CoRR, March, 2026

Enhancing Kernel Power $K$-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Incremental Multi-View Clustering: Exploring Stream-View Correlations to Learn Consistency and Diversity.
IEEE Trans. Knowl. Data Eng., December, 2025

Prototype-Driven Multi-View Attribute-Missing Graph Clustering.
IEEE Trans. Multim., 2025

Mixture of Experts for Node Classification.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Generalization Performance of Ensemble Clustering: From Theory to Algorithm.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

On the Adversarial Robustness of Multi-Kernel Clustering.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Incremental Nyström-based Multiple Kernel Clustering.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Unpaired Multi-View Graph Clustering With Cross-View Structure Matching.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

On the Consistency and Large-Scale Extension of Multiple Kernel Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Late Fusion Multiview Clustering via Min-Max Optimization.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Fast Continual Multi-View Clustering With Incomplete Views.
IEEE Trans. Image Process., 2024

A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Scalable Incomplete Multi-View Clustering with Structure Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Consistency of Multiple Kernel Clustering.
Proceedings of the International Conference on Machine Learning, 2023

Auto-Weighted Multi-View Clustering for Large-Scale Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix.
IEEE Trans. Knowl. Data Eng., 2022

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sample Weighted Multiple Kernel K-means via Min-Max optimization.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Continual Multi-view Clustering.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Robust Graph-Based Multi-View Clustering.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multi-View Clustering With Learned Bipartite Graph.
IEEE Access, 2021

Self-Representation Subspace Clustering for Incomplete Multi-view Data.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

One-pass Multi-view Clustering for Large-scale Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Late Fusion Multi-view Clustering with Learned Consensus Similarity Matrix.
Proceedings of the Theoretical Computer Science - 38th National Conference, 2020


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