Xinhang Wan

According to our database, Xinhang Wan authored at least 24 papers between 2022 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

Contrastive Continual Multiview Clustering With Filtered Structural Fusion.

Xinhang Wan, Jiyuan Liu, Hao Yu, Qian Qu, Ao Li, Xinwang Liu, Ke Liang, Zhibin Dong, En Zhu

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Object Affordance Recognition and Grounding via Multi-scale Cross-modal Representation Learning.

Xinhang Wan, Dongqiang Gou, Xinwang Liu, En Zhu, Xuming He

CoRR, August, 2025

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiatio.

Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu

CoRR, July, 2025

Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery.

Xinhang Wan, Jiyuan Liu, Qian Qu, Suyuan Liu, Chuyu Zhang, Fangdi Wang, Xinwang Liu, En Zhu, Kunlun He

CoRR, July, 2025

One-Step Multi-View Clustering With Diverse Representation.

Xinhang Wan, Jiyuan Liu, Xinbiao Gan, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, En Zhu

IEEE Trans. Neural Networks Learn. Syst., March, 2025

DShield: Defending against Backdoor Attacks on Graph Neural Networks via Discrepancy Learning.

Hao Yu, Chuan Ma, Xinhang Wan, Jun Wang, Tao Xiang, Meng Shen, Xinwang Liu

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation.

Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, 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

Incomplete Multi-view Clustering via Diffusion Contrastive Generation.

Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu

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

Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection.

Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Xinhang Wan, Xinwang Liu

IEEE Trans. Knowl. Data Eng., November, 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

Active-Passive Federated Learning for Vertically Partitioned Multi-view Data.

Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen Hu, Qing Liao, Xinhang Wan, Yi Zhang, Xin Lv, Kunlun He

CoRR, 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

Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information.

Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu

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

2023

Contrastive Continual Multi-view Clustering with Filtered Structural Fusion.

Xinhang Wan, Jiyuan Liu, Ao Li, Xinwang Liu, En Zhu

CoRR, 2023

One-step Multi-view Clustering with Diverse Representation.

Xinhang Wan, Jiyuan Liu, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, Li Shen, En Zhu

CoRR, 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

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation.

Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 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

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