Sihang Zhou

According to our database, Sihang Zhou authored at least 80 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning.

Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Multiview Deep Anomaly Detection: A Systematic Exploration.

Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure.

Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu

IEEE Trans. Knowl. Data Eng., January, 2024

One-Step Late Fusion Multi-view Clustering with Compressed Subspace.

Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu

CoRR, 2024

Attribute-Missing Graph Clustering Network.

Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement.

Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu

IEEE Trans. Neural Networks Learn. Syst., August, 2023

scDFC: A deep fusion clustering method for single-cell RNA-seq data.

Dayu Hu, Ke Liang, Sihang Zhou, Wenxuan Tu, Meng Liu, Xinwang Liu

Briefings Bioinform., July, 2023

E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection.

Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Multiple Kernel Clustering With Compressed Subspace Alignment.

Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu

IEEE Trans. Neural Networks Learn. Syst., 2023

Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent.

Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu

CoRR, 2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering.

Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2023

Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning.

Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu

CoRR, 2023

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering.

Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Xinwang Liu

CoRR, 2023

Message Intercommunication for Inductive Relation Reasoning.

Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu

CoRR, 2023

Deep Temporal Graph Clustering.

Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu

CoRR, 2023

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning.

Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu

CoRR, 2023

RARE: Robust Masked Graph Autoencoder.

Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai

CoRR, 2023

GANN: Graph Alignment Neural Network for Semi-Supervised Learning.

Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2023

Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network.

Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng

CoRR, 2023

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment.

Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu

CoRR, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

CONVERT: Contrastive Graph Clustering with Reliable Augmentation.

Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering.

Xihong Yang, Jin Jiaqi, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Reinforcement Graph Clustering with Unknown Cluster Number.

Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification.

Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dink-Net: Neural Clustering on Large Graphs.

Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li

Proceedings of the International Conference on Machine Learning, 2023

Consensus One-step Multi-view Subspace Clustering (Extended abstract).

Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.

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

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Iterative Encode-and-Decode Graph Neural Network.

Linxuan Song, Siwei Wang, Sihang Zhou, En Zhu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Projective Multiple Kernel Subspace Clustering.

Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu

IEEE Trans. Multim., 2022

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.

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

IEEE Trans. Medical Imaging, 2022

Consensus One-Step Multi-View Subspace Clustering.

Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai

IEEE Trans. Knowl. Data Eng., 2022

Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels.

Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang

IEEE Trans. Knowl. Data Eng., 2022

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix.

Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu

IEEE Trans. Knowl. Data Eng., 2022

Semantic instance segmentation with discriminative deep supervision for medical images.

Sihang Zhou, Dong Nie, Ehsan Adeli, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen

Medical Image Anal., 2022

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun

CoRR, 2022

Contrastive Deep Graph Clustering with Learnable Augmentation.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu

CoRR, 2022

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application.

Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu

CoRR, 2022

Relational Symmetry based Knowledge Graph Contrastive Learning.

Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu

CoRR, 2022

Mixed Graph Contrastive Network for Semi-Supervised Node Classification.

Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2022

Improved Dual Correlation Reduction Network.

Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Anchor Learning-based Multi-view Clustering - A Late Fusion Method.

Tiejian Zhang, Xinwang Liu, En Zhu, Sihang Zhou, Zhibin Dong

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Attributed Graph Clustering with Dual Redundancy Reduction.

Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Graph Clustering via Dual Correlation Reduction.

Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Robust Graph-Based Multi-View Clustering.

Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Robust semi-supervised classification based on data augmented online ELMs with deep features.

Xiaochang Hu, Yujun Zeng, Xin Xu, Sihang Zhou, Li Liu

Knowl. Based Syst., 2021

Siamese Attribute-missing Graph Auto-encoder.

Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu

CoRR, 2021

Multi-view Deep One-class Classification: A Systematic Exploration.

Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin

CoRR, 2021

Deep Distribution-preserving Incomplete Clustering with Optimal Transport.

Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu

CoRR, 2021

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment.

Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Scalable Multi-view Subspace Clustering with Unified Anchors.

Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Self-Representation Subspace Clustering for Incomplete Multi-view Data.

Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Localized Simple Multiple Kernel K-means.

Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Fusion Clustering Network.

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Hierarchical Multiple Kernel Clustering.

Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation.

Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin

IEEE Trans. Neural Networks Learn. Syst., 2020

A Multi-Organ Nucleus Segmentation Challenge.

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

IEEE Trans. Medical Imaging, 2020

High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation.

Sihang Zhou, Dong Nie, Ehsan Adeli, Jianping Yin, Jun Lian, Dinggang Shen

IEEE Trans. Image Process., 2020

Subspace segmentation-based robust multiple kernel clustering.

Sihang Zhou, En Zhu, Xinwang Liu, Tianming Zheng, Qiang Liu, Jingyuan Xia, Jianping Yin

Inf. Fusion, 2020

Anchor-Based Multiview Subspace Clustering With Diversity Regularization.

Qiyuan Ou, Siwei Wang, Sihang Zhou, Miaomiao Li, Xifeng Guo, En Zhu

IEEE Multim., 2020

Image Representation Learning by Transformation Regression.

Xifeng Guo, Jiyuan Liu, Sihang Zhou, En Zhu, Shihao Dong

Proceedings of the 25th International Conference on Pattern Recognition, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.

Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen

Medical Image Anal., 2019

Hierarchical Representation For Ct Prostate Segmentation.

Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation.

Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Financial time series prediction using ℓ_{2, 1}RF-ELM.

Jingming Xue, Sihang Zhou, Qiang Liu, Xinwang Liu, Jianping Yin

Neurocomputing, 2018

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks.

Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

A highly efficient human activity classification method using mobile data from wearable sensors.

Lihuan Yuan, Qiang Liu, Mengchi Lu, Sihang Zhou, Chengzhang Zhu, Jianping Yin

Int. J. Sens. Networks, 2017

Optimal Neighborhood Kernel Clustering with Multiple Kernels.

Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Random Fourier extreme learning machine with ℓ_{2, 1}-norm regularization.

Sihang Zhou, Xinwang Liu, Qiang Liu, Siqi Wang, Chengzhang Zhu, Jianping Yin

Neurocomputing, 2016

MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine.

Qiang Liu, Sihang Zhou, Chengzhang Zhu, Xinwang Liu, Jianping Yin

Neurocomputing, 2016

2014

A binary feature selection framework in kernel spaces.

Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Spectral clustering-based local and global structure preservation for feature selection.

Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014