Sihang Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
14
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Knowledge Graph Completion with Relation-Aware Anchor Enhancement. | Duanyang Yuan, Sihang Zhou, Xiaoshu Chen, Dong Wang, Ke Liang, Xinwang Liu, Jian Huang |
| 2025 | EMNLP | Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster. | Xiaoshu Chen, Sihang Zhou, Ke Liang, Xiaoyu Sun, Xinwang Liu |
| 2025 | IJCAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Attribute-Missing Graph Clustering Network. | Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu |
| 2024 | CVPR | 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 |
| 2024 | ICASSP | One-Step Late Fusion Multi-View Clustering with Compressed Subspace. | Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu |
| 2024 | ICLR | Deep Temporal Graph Clustering. | Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Cluster-Guided Contrastive Graph Clustering Network. | Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu |
| 2023 | ADMA | Iterative Encode-and-Decode Graph Neural Network. | Linxuan Song, Siwei Wang, Sihang Zhou, En Zhu |
| 2023 | ICDE | Consensus One-step Multi-view Subspace Clustering (Extended abstract). | Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai |
| 2023 | ICML | Dink-Net: Neural Clustering on Large Graphs. | Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li |
| 2023 | SIGIR | Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. | Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu |
| 2022 | AAAI | Robust Graph-Based Multi-View Clustering. | Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu |
| 2022 | AAAI | Deep Graph Clustering via Dual Correlation Reduction. | Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu |
| 2022 | CVPR | Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. | Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu |
| 2022 | IJCAI | Attributed Graph Clustering with Dual Redundancy Reduction. | Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu |
| 2022 | IJCAI | 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 |
| 2021 | AAAI | Hierarchical Multiple Kernel Clustering. | Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang |
| 2021 | AAAI | Deep Fusion Clustering Network. | Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng |
| 2021 | ICCV | Localized Simple Multiple Kernel K-means. | Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang |
| 2020 | AAAI | 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 |
| 2020 | ICPR | Image Representation Learning by Transformation Regression. | Xifeng Guo, Jiyuan Liu, Sihang Zhou, En Zhu, Shihao Dong |
| 2019 | AAAI | Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. | Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen |
| 2018 | MICCAI | Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. | Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen |
| 2017 | AAAI | Optimal Neighborhood Kernel Clustering with Multiple Kernels. | Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin |
| 2014 | IJCNN | Spectral clustering-based local and global structure preservation for feature selection. | Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin |
| 2014 | IJCNN | A binary feature selection framework in kernel spaces. | Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin |