Weixuan Liang

According to our database, Weixuan Liang authored at least 26 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Incremental Multi-View Clustering: Exploring Stream-View Correlations to Learn Consistency and Diversity.

Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Miaomiao Li, Xinwang Liu

IEEE Trans. Knowl. Data Eng., December, 2025

Mixture of Experts for Node Classification.

Yu Shi, Yiqi Wang, Weixuan Liang, Jiaxin Zhang, Pan Dong, Aiping Li

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Generalization Performance of Ensemble Clustering: From Theory to Algorithm.

Xu Zhang, Haoye Qiu, Weixuan Liang, Hui Liu, Junhui Hou, Yuheng Jia

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.

Weixuan Liang, Xinwang Liu, Ke Liang, Jiyuan Liu, En Zhu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

On the Adversarial Robustness of Multi-Kernel Clustering.

Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels.

Jiyuan Liu, Xinwang Liu, Chuankun Li, Xinhang Wan, Hao Tan, Yi Zhang, Weixuan Liang, Qian Qu, Yu Feng, Renxiang Guan, Ke Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Incremental Nyström-based Multiple Kernel Clustering.

Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Suyuan Liu, Qian Qu, Renxiang Guan, Huiying Xu, Xinwang Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Unpaired Multi-View Graph Clustering With Cross-View Structure Matching.

Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

On the Consistency and Large-Scale Extension of Multiple Kernel Clustering.

Weixuan Liang, Chang Tang, Xinwang Liu, Yong Liu, Jiyuan Liu, En Zhu, Kunlun He

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Late Fusion Multiview Clustering via Min-Max Optimization.

Miaomiao Li, Xinwang Liu, Yi Zhang, Weixuan Liang

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Fast Continual Multi-View Clustering With Incomplete Views.

Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu

IEEE Trans. Image Process., 2024

A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering.

Qian Qu, Xinhang Wan, Weixuan Liang, Jiyuan Liu, Yu Feng, Huiying Xu, Xinwang Liu, En Zhu

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.

Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation.

Weixuan Liang, En Zhu, Shengju Yu, Huiying Xu, Xinzhong Zhu, Xinwang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Scalable Incomplete Multi-View Clustering with Structure Alignment.

Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Consistency of Multiple Kernel Clustering.

Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu

Proceedings of the International Conference on Machine Learning, 2023

Auto-Weighted Multi-View Clustering for Large-Scale Data.

Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix.

Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu

IEEE Trans. Knowl. Data Eng., 2022

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel.

Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu

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.

Yi Zhang, Weixuan Liang, Xinwang Liu, Sisi Dai, Siwei Wang, Liyang Xu, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Continual Multi-view Clustering.

Xinhang Wan, Jiyuan Liu, Weixuan Liang, Xinwang Liu, Yi Wen, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Robust Graph-Based Multi-View Clustering.

Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Multi-View Clustering With Learned Bipartite Graph.

Miaomiao Li, Weixuan Liang, Xinwang Liu

IEEE Access, 2021

Self-Representation Subspace Clustering for Incomplete Multi-view Data.

Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

One-pass Multi-view Clustering for Large-scale Data.

Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Late Fusion Multi-view Clustering with Learned Consensus Similarity Matrix.

Dan Liu, Weixuan Liang, Hongya Zhang, Wentao Zhao, Kaifan Hu

Proceedings of the Theoretical Computer Science - 38th National Conference, 2020