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Sihang Zhou 0001
Person information
- affiliation (PhD): National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China
- affiliation: University of North Carolina, Chapel Hill, Biomedical Research Imaging Center (BRIC), NC, USA
Other persons with the same name
- Sihang Zhou — disambiguation page
- Sihang Zhou 0002 — Tongji University, Department of Control Science and Engineering, Shanghai, China
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2020 – today
- 2024
- [j32]Qiyuan Ou
, Siwei Wang
Anchor-based multi-view subspace clustering with hierarchical feature descent. Inf. Fusion 106: 102225 (2024) - [j31]Linxuan Song, Wenxuan Tu, Sihang Zhou, En Zhu:
GANN: Graph Alignment Neural Network for semi-supervised learning. Pattern Recognit. 154: 110484 (2024) - [j30]Xihong Yang
Mixed Graph Contrastive Network for Semi-supervised Node Classification. ACM Trans. Knowl. Discov. Data 18(7): 162 (2024) - [j29]Ke Liang
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. IEEE Trans. Knowl. Data Eng. 36(1): 226-238 (2024) - [j28]Wenxuan Tu
RARE: Robust Masked Graph Autoencoder. IEEE Trans. Knowl. Data Eng. 36(10): 5340-5353 (2024) - [j27]Siqi Wang, Jiyuan Liu
Multiview Deep Anomaly Detection: A Systematic Exploration. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1651-1665 (2024) - [j26]Xihong Yang, Xiaochang Hu
Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2054-2065 (2024) - [j25]Lei Gong
Deep Fusion Clustering Network With Reliable Structure Preservation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7792-7803 (2024) - [j24]Zhenyu Zhou, Lei Luo, Sihang Zhou, Wang Li, Xihong Yang, Xinwang Liu, En Zhu:
Task-Related Saliency for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10751-10763 (2024) - [j23]Yue Liu, Xihong Yang
Simple Contrastive Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13789-13800 (2024) - [c40]Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. AAAI 2024: 8733-8741 - [c39]Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu:
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. AAAI 2024: 10645-10653 - [c38]Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng
Attribute-Missing Graph Clustering Network. AAAI 2024: 15392-15401 - [c37]Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu:
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering. CVPR 2024: 26151-26161 - [c36]Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu:
One-Step Late Fusion Multi-View Clustering with Compressed Subspace. ICASSP 2024: 7765-7769 - [c35]Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu:
Deep Temporal Graph Clustering. ICLR 2024 - [c34]Ke Liang
Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. ACM Multimedia 2024: 1554-1563 - [c33]Xihong Yang
GraphLearner: Graph Node Clustering with Fully Learnable Augmentation. ACM Multimedia 2024: 5517-5526 - [i33]Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu:
One-Step Late Fusion Multi-view Clustering with Compressed Subspace. CoRR abs/2401.01558 (2024) - [i32]Xiaoshu Chen, Sihang Zhou, Ke Liang, Xinwang Liu:
Post-Semantic-Thinking: A Robust Strategy to Distill Reasoning Capacity from Large Language Models. CoRR abs/2404.09170 (2024) - 2023
- [j22]Dayu Hu
scDFC: A deep fusion clustering method for single-cell RNA-seq data. Briefings Bioinform. 24(4) (2023) - [j21]Siqi Wang
E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2952-2969 (2023) - [j20]Sihang Zhou
Multiple Kernel Clustering With Compressed Subspace Alignment. IEEE Trans. Neural Networks Learn. Syst. 34(1): 252-263 (2023) - [j19]Siwei Wang
Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4359-4370 (2023) - [c32]Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen:
Hard Sample Aware Network for Contrastive Deep Graph Clustering. AAAI 2023: 8914-8922 - [c31]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang
Cluster-Guided Contrastive Graph Clustering Network. AAAI 2023: 10834-10842 - [c30]Linxuan Song, Siwei Wang, Sihang Zhou, En Zhu:
Iterative Encode-and-Decode Graph Neural Network. ADMA (4) 2023: 403-417 - [c29]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c28]Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai:
Consensus One-step Multi-view Subspace Clustering (Extended abstract). ICDE 2023: 3761-3762 - [c27]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. ICML 2023: 21794-21812 - [c26]Xihong Yang
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia 2023: 319-327 - [c25]Xihong Yang
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. ACM Multimedia 2023: 337-346 - [c24]Meng Liu
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. ACM Multimedia 2023: 3365-3374 - [c23]Yue Liu
Reinforcement Graph Clustering with Unknown Cluster Number. ACM Multimedia 2023: 3528-3537 - [c22]Ke Liang
Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. SIGIR 2023: 1559-1568 - [i31]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng
Cluster-guided Contrastive Graph Clustering Network. CoRR abs/2301.01098 (2023) - [i30]Meng Liu, Ke Liang
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. CoRR abs/2302.07491 (2023) - [i29]Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng:
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. CoRR abs/2302.07524 (2023) - [i28]Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu:
GANN: Graph Alignment Neural Network for Semi-Supervised Learning. CoRR abs/2303.07778 (2023) - [i27]Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng
RARE: Robust Masked Graph Autoencoder. CoRR abs/2304.01507 (2023) - [i26]Lingyuan Meng, Ke Liang
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. CoRR abs/2304.10297 (2023) - [i25]Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu:
Deep Temporal Graph Clustering. CoRR abs/2305.10738 (2023) - [i24]Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu:
Message Intercommunication for Inductive Relation Reasoning. CoRR abs/2305.14074 (2023) - [i23]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. CoRR abs/2305.18405 (2023) - [i22]Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Xinwang Liu:
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering. CoRR abs/2306.04962 (2023) - [i21]Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu:
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. CoRR abs/2307.03591 (2023) - [i20]Yue Liu, Ke Liang
Reinforcement Graph Clustering with Unknown Cluster Number. CoRR abs/2308.06827 (2023) - [i19]Xihong Yang, Cheng Tan, Yue Liu, Ke Liang
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR abs/2308.08963 (2023) - [i18]Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. CoRR abs/2308.09000 (2023) - [i17]Meng Liu, Ke Liang
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. CoRR abs/2309.11845 (2023) - [i16]Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu:
Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent. CoRR abs/2310.07166 (2023) - 2022
- [j18]Sihang Zhou, Dong Nie, Ehsan Adeli
Semantic instance segmentation with discriminative deep supervision for medical images. Medical Image Anal. 82: 102626 (2022) - [j17]Jiyuan Liu
Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels. IEEE Trans. Knowl. Data Eng. 34(6): 2872-2885 (2022) - [j16]Weixuan Liang
Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix. IEEE Trans. Knowl. Data Eng. 34(7): 3418-3430 (2022) - [j15]Pei Zhang
Consensus One-Step Multi-View Subspace Clustering. IEEE Trans. Knowl. Data Eng. 34(10): 4676-4689 (2022) - [j14]David Zimmerer
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [j13]Mengjing Sun, Siwei Wang
Projective Multiple Kernel Subspace Clustering. IEEE Trans. Multim. 24: 2567-2579 (2022) - [c21]Weixuan Liang
Robust Graph-Based Multi-View Clustering. AAAI 2022: 7462-7469 - [c20]Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. AAAI 2022: 7603-7611 - [c19]Siwei Wang
Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. CVPR 2022: 9766-9775 - [c18]Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu:
Attributed Graph Clustering with Dual Redundancy Reduction. IJCAI 2022: 3015-3021 - [c17]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng:
Initializing Then Refining: A Simple Graph Attribute Imputation Network. IJCAI 2022: 3494-3500 - [c16]Tiejian Zhang
Efficient Anchor Learning-based Multi-view Clustering - A Late Fusion Method. ACM Multimedia 2022: 3685-3693 - [c15]Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu:
Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel. NeurIPS 2022 - [i15]Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu:
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning. CoRR abs/2202.11915 (2022) - [i14]Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang:
Improved Dual Correlation Reduction Network. CoRR abs/2202.12533 (2022) - [i13]Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-Supervised Node Classification. CoRR abs/2206.02796 (2022) - [i12]Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu:
Relational Symmetry based Knowledge Graph Contrastive Learning. CoRR abs/2211.10738 (2022) - [i11]Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang
A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. CoRR abs/2211.12875 (2022) - [i10]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu:
Contrastive Deep Graph Clustering with Learnable Augmentation. CoRR abs/2212.03559 (2022) - [i9]Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun:
Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. CoRR abs/2212.05767 (2022) - [i8]Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang
Hard Sample Aware Network for Contrastive Deep Graph Clustering. CoRR abs/2212.08665 (2022) - 2021
- [j12]Xiaochang Hu
Robust semi-supervised classification based on data augmented online ELMs with deep features. Knowl. Based Syst. 229: 107307 (2021) - [c14]Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou
Hierarchical Multiple Kernel Clustering. AAAI 2021: 8671-8679 - [c13]Wenxuan Tu, Sihang Zhou
Deep Fusion Clustering Network. AAAI 2021: 9978-9987 - [c12]Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang
Localized Simple Multiple Kernel K-means. ICCV 2021: 9273-9281 - [c11]Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang:
Self-Representation Subspace Clustering for Incomplete Multi-view Data. ACM Multimedia 2021: 2726-2734 - [c10]Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang:
Scalable Multi-view Subspace Clustering with Unified Anchors. ACM Multimedia 2021: 3528-3536 - [c9]Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang:
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. ACM Multimedia 2021: 4156-4164 - [i7]Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu:
Deep Distribution-preserving Incomplete Clustering with Optimal Transport. CoRR abs/2103.11424 (2021) - [i6]Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin:
Multi-view Deep One-class Classification: A Systematic Exploration. CoRR abs/2104.13000 (2021) - [i5]Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang:
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. CoRR abs/2105.00277 (2021) - [i4]Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu:
Siamese Attribute-missing Graph Auto-encoder. CoRR abs/2112.04842 (2021) - [i3]Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. CoRR abs/2112.14772 (2021) - 2020
- [j11]Qiyuan Ou, Siwei Wang
Anchor-Based Multiview Subspace Clustering With Diversity Regularization. IEEE Multim. 27(4): 91-101 (2020) - [j10]Sihang Zhou
Subspace segmentation-based robust multiple kernel clustering. Inf. Fusion 53: 145-154 (2020) - [j9]Sihang Zhou
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. IEEE Trans. Image Process. 29: 461-475 (2020) - [j8]Neeraj Kumar
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [j7]Sihang Zhou
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1351-1362 (2020) - [c8]Sihang Zhou
Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix. AAAI 2020: 6965-6972 - [c7]Xifeng Guo, Jiyuan Liu, Sihang Zhou, En Zhu, Shihao Dong:
Image Representation Learning by Transformation Regression. ICPR 2020: 526-533 - [i2]Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu:
Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix. CoRR abs/2008.13539 (2020) - [i1]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. CoRR abs/2012.09600 (2020)
2010 – 2019
- 2019
- [j6]Shuai Wang, Kelei He
CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation. Medical Image Anal. 54: 168-178 (2019) - [c6]Dong Nie, Li Wang, Lei Xiang, Sihang Zhou
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. AAAI 2019: 1085-1092 - [c5]Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen:
Hierarchical Representation For Ct Prostate Segmentation. ISBI 2019: 1501-1504 - 2018
- [j5]Jingming Xue
Financial time series prediction using ℓ2, 1RF-ELM. Neurocomputing 277: 176-186 (2018) - [c4]Sihang Zhou
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. MICCAI (4) 2018: 488-496 - 2017
- [j4]Lihuan Yuan, Qiang Liu, Mengchi Lu, Sihang Zhou, Chengzhang Zhu, Jianping Yin:
A highly efficient human activity classification method using mobile data from wearable sensors. Int. J. Sens. Networks 25(2): 86-92 (2017) - [c3]Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin:
Optimal Neighborhood Kernel Clustering with Multiple Kernels. AAAI 2017: 2266-2272 - 2016
- [j3]Qiang Liu
MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine. Neurocomputing 173: 1044-1053 (2016) - [j2]Sihang Zhou
Random Fourier extreme learning machine with ℓ2, 1-norm regularization. Neurocomputing 174: 143-153 (2016) - [j1]Xifeng Guo, En Zhu, Sihang Zhou, Xiaolong Shen, Jianping Yin:
一种基于交点权重图的指纹焦点检测方法 (Fingerprint Focal Point Detection Method Based on Map of Cross Points' Weights). 计算机科学 43(2): 35-37 (2016) - 2014
- [c2]Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin:
Spectral clustering-based local and global structure preservation for feature selection. IJCNN 2014: 550-557 - [c1]Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin:
A binary feature selection framework in kernel spaces. IJCNN 2014: 4190-4197
Coauthor Index
[j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [i32] [j22] [j21] [j20] [j19] [c32] [c31] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [j18] [j17] [j16] [j15] [j13] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [c14] [c13] [c12] [c11] [c10] [c9] [i7] [i6] [i5] [i4] [i3] [j10] [j7] [c8] [i2] [i1] [j5] [c3] [j3] [j2] [c2] [c1]
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