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ORCIDSihang 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
[j34]Qiyuan Ou
, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu:
Anchor-based multi-view subspace clustering with hierarchical feature descent. Inf. Fusion 106: 102225 (2024)- [j33]Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He:
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9456-9478 (2024) - [j32]Linxuan Song, Wenxuan Tu, Sihang Zhou, En Zhu:
GANN: Graph Alignment Neural Network for semi-supervised learning. Pattern Recognit. 154: 110484 (2024) - [j31]Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-supervised Node Classification. ACM Trans. Knowl. Discov. Data 18(7): 162 (2024) - [j30]Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu:
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. IEEE Trans. Knowl. Data Eng. 36(1): 226-238 (2024) - [j29]Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He:
RARE: Robust Masked Graph Autoencoder. IEEE Trans. Knowl. Data Eng. 36(10): 5340-5353 (2024) - [j28]Lingyuan Meng, Ke Liang, Hao Yu, Yue Liu, Sihang Zhou, Meng Liu, Xinwang Liu:
FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning. IEEE Trans. Knowl. Data Eng. 36(12): 8206-8219 (2024) - [j27]Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang:
Multiview Deep Anomaly Detection: A Systematic Exploration. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1651-1665 (2024) - [j26]Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu:
Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2054-2065 (2024) - [j25]Lei Gong, Wenxuan Tu, Sihang Zhou, Long Zhao, Zhe Liu, Xinwang Liu:
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, Sihang Zhou, Xinwang Liu, Siwei Wang, Ke Liang, Wenxuan Tu, Liang Li:
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, Zhe Liu, Xinwang Liu:
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, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu:
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, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Suyuan Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu:
Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. ACM Multimedia 2024: 1554-1563 - [c33]Xihong Yang, Erxue Min, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Huijun Wu, Xinwang Liu, En Zhu:
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, Ke Liang, Sihang Zhou, Wenxuan Tu, Meng Liu, Xinwang Liu:
scDFC: A deep fusion clustering method for single-cell RNA-seq data. Briefings Bioinform. 24(4) (2023) - [j21]Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao:
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, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu:
Multiple Kernel Clustering With Compressed Subspace Alignment. IEEE Trans. Neural Networks Learn. Syst. 34(1): 252-263 (2023) - [j19]Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu:
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, En Zhu:
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, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
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, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu:
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia 2023: 319-327 - [c25]Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu:
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. ACM Multimedia 2023: 337-346 - [c24]Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu:
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. ACM Multimedia 2023: 3365-3374 - [c23]Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li:
Reinforcement Graph Clustering with Unknown Cluster Number. ACM Multimedia 2023: 3528-3537 - [c22]Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu:
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, Xinwang Liu, Liming Fang, En Zhu:
Cluster-guided Contrastive Graph Clustering Network. CoRR abs/2301.01098 (2023) - [i30]Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu:
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, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai:
RARE: Robust Masked Graph Autoencoder. CoRR abs/2304.01507 (2023) - [i26]Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu:
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, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li:
Reinforcement Graph Clustering with Unknown Cluster Number. CoRR abs/2308.06827 (2023) - [i19]Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu:
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR abs/2308.08963 (2023) - [i18]Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu:
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. CoRR abs/2308.09000 (2023) - [i17]Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu:
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, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen:
Semantic instance segmentation with discriminative deep supervision for medical images. Medical Image Anal. 82: 102626 (2022) - [j17]Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang:
Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels. IEEE Trans. Knowl. Data Eng. 34(6): 2872-2885 (2022) - [j16]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. IEEE Trans. Knowl. Data Eng. 34(7): 3418-3430 (2022) - [j15]Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai:
Consensus One-Step Multi-View Subspace Clustering. IEEE Trans. Knowl. Data Eng. 34(10): 4676-4689 (2022) - [j14]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, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
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, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu:
Projective Multiple Kernel Subspace Clustering. IEEE Trans. Multim. 24: 2567-2579 (2022) - [c21]Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu:
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, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu:
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, Xinwang Liu, En Zhu, Sihang Zhou, Zhibin Dong:
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, Wenxuan Tu, Stan Z. Li, Xinwang Liu:
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, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen:
Hard Sample Aware Network for Contrastive Deep Graph Clustering. CoRR abs/2212.08665 (2022) - 2021
- [j12]Xiaochang Hu, Yujun Zeng, Xin Xu, Sihang Zhou, Li Liu:
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, Yuexiang Yang:
Hierarchical Multiple Kernel Clustering. AAAI 2021: 8671-8679 - [c13]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. AAAI 2021: 9978-9987 - [c12]Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang:
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, Sihang Zhou, Miaomiao Li, Xifeng Guo, En Zhu:
Anchor-Based Multiview Subspace Clustering With Diversity Regularization. IEEE Multim. 27(4): 91-101 (2020) - [j10]Sihang Zhou, En Zhu, Xinwang Liu, Tianming Zheng, Qiang Liu, Jingyuan Xia, Jianping Yin:
Subspace segmentation-based robust multiple kernel clustering. Inf. Fusion 53: 145-154 (2020) - [j9]Sihang Zhou, Dong Nie, Ehsan Adeli, Jianping Yin, Jun Lian, Dinggang Shen:
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. IEEE Trans. Image Process. 29: 461-475 (2020) - [j8]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [j7]Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin:
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1351-1362 (2020) - [c8]Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin, Wen Gao:
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, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen:
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, Ehsan Adeli, Dinggang Shen:
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, Sihang Zhou, Qiang Liu, Xinwang Liu, Jianping Yin:
Financial time series prediction using ℓ2, 1RF-ELM. Neurocomputing 277: 176-186 (2018) - [c4]Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen:
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, Sihang Zhou, Chengzhang Zhu, Xinwang Liu, Jianping Yin:
MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine. Neurocomputing 173: 1044-1053 (2016) - [j2]Sihang Zhou, Xinwang Liu, Qiang Liu, Siqi Wang, Chengzhang Zhu, Jianping Yin:
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
[j33] [j31] [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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