Zhou, Sihang

24 publications

NeurIPS 2025 Incomplete Multi-View Deep Clustering with Data Imputation and Alignment Jiyuan Liu, Xinwang Liu, Xinhang Wan, Ke Liang, Weixuan Liang, Sihang Zhou, Huijun Wu, Kehua Guo

AAAI 2025 Knowledge Graph Completion with Relation-Aware Anchor Enhancement Duanyang Yuan, Sihang Zhou, Xiaoshu Chen, Dong Wang, Ke Liang, Xinwang Liu, Jian Huang

IJCAI 2025 Soft Reasoning Paths for Knowledge Graph Completion Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang

AAAI 2024 Attribute-Missing Graph Clustering Network Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu

NeurIPS 2024 Clustering Then Propagation: Select Better Anchors for Knowledge Graph Embedding Ke Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, Xinwang Liu

ICLR 2024 Deep Temporal Graph Clustering Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

AAAI 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu

CVPR 2024 Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu

AAAI 2024 MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu

AAAI 2023 Cluster-Guided Contrastive Graph Clustering Network Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu

ICML 2023 Dink-Net: Neural Clustering on Large Graphs Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li

AAAI 2023 Hard Sample Aware Network for Contrastive Deep Graph Clustering Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen

IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu

AAAI 2022 Deep Graph Clustering via Dual Correlation Reduction Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

CVPR 2022 Highly-Efficient Incomplete Large-Scale Multi-View Clustering with Consensus Bipartite Graph Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu

IJCAI 2022 Initializing Then Refining: A Simple Graph Attribute Imputation Network Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng

AAAI 2022 Robust Graph-Based Multi-View Clustering Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu

NeurIPS 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

AAAI 2021 Deep Fusion Clustering Network Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng

AAAI 2021 Hierarchical Multiple Kernel Clustering Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang

ICCV 2021 Localized Simple Multiple Kernel K-Means Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

AAAI 2020 Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin, Wen Gao

AAAI 2019 Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen

AAAI 2017 Optimal Neighborhood Kernel Clustering with Multiple Kernels Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin