Sihang Zhou

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 87

Top Topics

Norm Regularization

Graph Clustering

Image Segmentation

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu
One-Step Late Fusion Multi-view Clustering with Compressed Subspace. CoRR (2024)
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) (2024)
Jing Chen, Ying Song, Daping Li, Xianxuan Lin, Sihang Zhou, Wenqiang Xu
Specular Removal of Industrial Metal Objects Without Changing Lighting Configuration. IEEE Trans. Ind. Informatics 20 (3) (2024)
Dong Wang, Sihang Zhou, Jian Huang, Xiangrong Ni
Triple alignment-enhanced complex question answering over knowledge bases. Neurocomputing 588 (2024)
Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
Dink-Net: Neural Clustering on Large Graphs. ICML (2023)
Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. CoRR (2023)
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)
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) (2023)
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 (2023)
Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Xinwang Liu
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering. CoRR (2023)
Xihong Yang, Jin Jiaqi, 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)
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)
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)
Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu
Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent. CoRR (2023)
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)
Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
Dink-Net: Neural Clustering on Large Graphs. CoRR (2023)
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) (2023)
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)
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 (2023)
Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu
Deep Temporal Graph Clustering. CoRR (2023)
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 (2023)
Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai
RARE: Robust Masked Graph Autoencoder. CoRR (2023)
Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu
Message Intercommunication for Inductive Relation Reasoning. CoRR (2023)
Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu
GANN: Graph Alignment Neural Network for Semi-Supervised Learning. CoRR (2023)
Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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)
Linxuan Song, Siwei Wang, Sihang Zhou, En Zhu
Iterative Encode-and-Decode Graph Neural Network. ADMA (4) (2023)
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 (2023)
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)
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) (2023)
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 (2022)
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 (2022)
Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu
Deep Graph Clustering via Dual Correlation Reduction. AAAI (2022)
Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu
Attributed Graph Clustering with Dual Redundancy Reduction. IJCAI (2022)
Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu
Robust Graph-Based Multi-View Clustering. AAAI (2022)
Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang
Improved Dual Correlation Reduction Network. CoRR (2022)
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)
Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu
Relational Symmetry based Knowledge Graph Contrastive Learning. CoRR (2022)
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) (2022)
Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning. CoRR (2022)
Tiejian Zhang, Xinwang Liu, En Zhu, Sihang Zhou, Zhibin Dong
Efficient Anchor Learning-based Multi-view Clustering - A Late Fusion Method. ACM Multimedia (2022)
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)
Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu
Projective Multiple Kernel Subspace Clustering. IEEE Trans. Multim. 24 (2022)
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 (2022)
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)
Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu
Mixed Graph Contrastive Network for Semi-Supervised Node Classification. CoRR (2022)
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) (2022)
Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu
Contrastive Deep Graph Clustering with Learnable Augmentation. CoRR (2022)
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) (2022)
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 (2022)
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) (2022)
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)
Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu
Siamese Attribute-missing Graph Auto-encoder. CoRR (2021)
Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng
Deep Fusion Clustering Network. AAAI (2021)
Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu
Deep Graph Clustering via Dual Correlation Reduction. CoRR (2021)
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 (2021)
Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang
Hierarchical Multiple Kernel Clustering. AAAI (2021)
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)
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)
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 (2021)
Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang
Localized Simple Multiple Kernel K-means. ICCV (2021)
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 (2021)
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 (2021)
Qiyuan Ou, Siwei Wang, Sihang Zhou, Miaomiao Li, Xifeng Guo, En Zhu
Anchor-Based Multiview Subspace Clustering With Diversity Regularization. IEEE Multim. 27 (4) (2020)
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 (2020)
Sihang Zhou, En Zhu, Xinwang Liu, Tianming Zheng, Qiang Liu, Jingyuan Xia, Jianping Yin
Subspace segmentation-based robust multiple kernel clustering. Inf. Fusion 53 (2020)
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)
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) (2020)
Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng
Deep Fusion Clustering Network. CoRR (2020)
Xifeng Guo, Jiyuan Liu, Sihang Zhou, En Zhu, Shihao Dong
Image Representation Learning by Transformation Regression. ICPR (2020)
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 (2020)
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) (2020)
Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen
Hierarchical Representation For Ct Prostate Segmentation. ISBI (2019)
Liang Zhang, Sihang Zhou, Jing An, Qi Kang
Demand-Side Management Optimization in Electric Vehicles Battery Swapping Service. IEEE Access 7 (2019)
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 (2019)
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)
Jingming Xue, Sihang Zhou, Qiang Liu, Xinwang Liu, Jianping Yin
RF-ELM. Neurocomputing 277 (2018)
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)
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) (2017)
Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin
Optimal Neighborhood Kernel Clustering with Multiple Kernels. AAAI (2017)
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) (2016)
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 (2016)
Sihang Zhou, Xinwang Liu, Qiang Liu, Siqi Wang, Chengzhang Zhu, Jianping Yin
-norm regularization. Neurocomputing 174 (2016)
Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin
Spectral clustering-based local and global structure preservation for feature selection. IJCNN (2014)
Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin
A binary feature selection framework in kernel spaces. IJCNN (2014)