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Guoqiu Wen
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2020 – today
- 2024
- [j30]Zhengyu Lu
, Yujing Liu
, Guoqiu Wen, Bo Zhou, Wenzhen Zhang, Jilian Zhang
:
Noise-resistant graph neural networks with manifold consistency and label consistency. Expert Syst. Appl. 245: 123120 (2024) - [i1]Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Ping Hu, Xiaofeng Zhu:
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation. CoRR abs/2404.17875 (2024) - 2023
- [j29]Guolin Zhang, Zehui Hu, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu:
Dynamic graph convolutional networks by semi-supervised contrastive learning. Pattern Recognit. 139: 109486 (2023) - [j28]Peng Zhou, Zongqian Wu, Guoqiu Wen, Kun Tang, Junbo Ma
:
Multi-scale graph classification with shared graph neural network. World Wide Web (WWW) 26(3): 949-966 (2023) - [c7]Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu:
Totally Dynamic Hypergraph Neural Networks. IJCAI 2023: 2476-2483 - [c6]Yujing Liu
, Zongqian Wu
, Zhengyu Lu
, Guoqiu Wen
, Junbo Ma
, Guangquan Lu
, Xiaofeng Zhu
:
Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels. ACM Multimedia 2023: 2946-2954 - 2022
- [j27]Guoqiu Wen, Yonghua Zhu, Linjun Chen, Shichao Zhang:
One-step spectral rotation clustering with balanced constrains. World Wide Web 25(1): 259-280 (2022) - [c5]Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng
, Xiaofeng Zhu:
Information Augmentation for Few-shot Node Classification. IJCAI 2022: 3601-3607 - 2021
- [j26]Guoqiu Wen, Yonghua Zhu, Linjun Chen, Mengmeng Zhan, Yangcai Xie:
Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering. Comput. J. 64(7): 993-1004 (2021) - [j25]Guoqiu Wen, Xianxian Li, Yonghua Zhu, Linjun Chen, Qimin Luo, Malong Tan:
One-step spectral rotation clustering for imbalanced high-dimensional data. Inf. Process. Manag. 58(1): 102388 (2021) - [c4]Qimin Luo, Guangquan Lu
, Guoqiu Wen, Zidong Su, Xingyi Liu, Jian Wei:
Balanced Spectral Clustering Algorithm Based on Feature Selection. ADMA 2021: 356-367 - 2020
- [j24]Guoqiu Wen:
Robust self-tuning spectral clustering. Neurocomputing 391: 243-248 (2020) - [j23]Guoqiu Wen, Yonghua Zhu, Wei Zheng:
Spectral representation learning for one-step spectral rotation clustering. Neurocomputing 406: 361-370 (2020) - [j22]Tingting Du, Guoqiu Wen, Zhiguo Cai, Wei Zheng, Malong Tan, Yangding Li:
Spectral clustering algorithm combining local covariance matrix with normalization. Neural Comput. Appl. 32(11): 6611-6618 (2020) - [j21]Guoqiu Wen, Yonghua Zhu, Mengmeng Zhan, Malong Tan:
Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection. Neural Process. Lett. 52(3): 1793-1809 (2020) - [j20]Mengmeng Zhan, Guangquan Lu
, Guoqiu Wen, Leyuan Zhang, Lin Wu:
Using Locality Preserving Projections to Improve the Performance of Kernel Clustering. Neural Process. Lett. 52(3): 1827-1842 (2020) - [j19]Qimin Luo, Guoqiu Wen, Leyuan Zhang, Mengmeng Zhan:
An Efficient Algorithm Combining Spectral Clustering with Feature Selection. Neural Process. Lett. 52(3): 1913-1925 (2020) - [j18]Wei Zheng
, Xiaofeng Zhu
, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan:
Unsupervised feature selection by self-paced learning regularization. Pattern Recognit. Lett. 132: 4-11 (2020) - [j17]Jiangzhang Gan, Guoqiu Wen, Hao Yu, Wei Zheng, Cong Lei:
Supervised feature selection by self-paced learning regression. Pattern Recognit. Lett. 132: 30-37 (2020) - [j16]Hao Yu, Guoqiu Wen, Jiangzhang Gan, Wei Zheng, Cong Lei:
Self-paced Learning for K-means Clustering Algorithm. Pattern Recognit. Lett. 132: 69-75 (2020) - [j15]Tao Tong, Jiangzhang Gan, Guoqiu Wen, Yangding Li:
One-step spectral clustering based on self-paced learning. Pattern Recognit. Lett. 135: 8-14 (2020)
2010 – 2019
- 2019
- [j14]Shanwen Zhang, Guoqiu Wen, Leyuan Zhang, Jiaye Li:
基于核函数的稀疏属性选择算法 (Sparse Feature Selection Algorithm Based on Kernel Function). 计算机科学 46(2): 62-67 (2019) - [j13]Jiaye Li, Lin Wu, Guoqiu Wen, Zhi Li:
Exclusive feature selection and multi-view learning for Alzheimer's Disease. J. Vis. Commun. Image Represent. 64 (2019) - [j12]Jiaye Li, Hao Yu, Leyuan Zhang, Guoqiu Wen:
Double weighted K-nearest voting for label aggregation in crowdsourcing learning. Multim. Tools Appl. 78(23): 33357-33374 (2019) - [c3]Linjun Chen, Guangquan Lu
, Guoqiu Wen, Jiaye Li, Malong Tan:
A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning. SSCI 2019: 2603-2607 - [c2]Mengmeng Zhan, Guangquan Lu
, Guoqiu Wen, Leyuan Zhang, Lin Wu:
A Clustering Algorithm via Kernel Function and Locality Preserving Projections. SSCI 2019: 2620-2625 - 2018
- [j11]Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen:
Adaptive structure learning for low-rank supervised feature selection. Pattern Recognit. Lett. 109: 89-96 (2018) - [j10]Guoqiu Wen, Yonghua Zhu, Zhiguo Cai, Wei Zheng:
Self-tuning clustering for high-dimensional data. World Wide Web 21(6): 1563-1573 (2018) - 2017
- [j9]Xiaohui Cheng, Yonghua Zhu, Jingkuan Song, Guoqiu Wen, Wei He:
A novel low-rank hypergraph feature selection for multi-view classification. Neurocomputing 253: 115-121 (2017) - [j8]Wei He, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, Guoqiu Wen:
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation. Neurocomputing 253: 127-134 (2017) - [j7]Rongyao Hu, Jie Cao
, Debo Cheng
, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen:
Self-representation dimensionality reduction for multi-model classification. Neurocomputing 253: 154-161 (2017) - [j6]Rongyao Hu, Debo Cheng
, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang:
Low-rank feature selection for multi-view regression. Multim. Tools Appl. 76(16): 17479-17495 (2017) - [j5]Yonghua Zhu, Xuejun Zhang, Guoqiu Wen, Wei He, Debo Cheng
:
Double sparse-representation feature selection algorithm for classification. Multim. Tools Appl. 76(16): 17525-17539 (2017) - [j4]Yonggang Li
, Shichao Zhang, Debo Cheng
, Wei He, Guoqiu Wen, Qing Xie:
Spectral clustering based on hypergraph and self-re-presentation. Multim. Tools Appl. 76(16): 17559-17576 (2017) - [c1]Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen:
Robust Features Selection via Structure Learning and Multiple Subspace Learning. ICBK 2017: 326-331 - 2015
- [j3]Zhaowen Li, Guoqiu Wen, Ningxin Xie:
An approach to fuzzy soft sets in decision making based on grey relational analysis and Dempster-Shafer theory of evidence: An application in medical diagnosis. Artif. Intell. Medicine 64(3): 161-171 (2015) - [j2]Zhaowen Li, Ningxin Xie, Guoqiu Wen:
Soft coverings and their parameter reductions. Appl. Soft Comput. 31: 48-60 (2015) - 2014
- [j1]Ningxin Xie, Guoqiu Wen, Zhaowen Li:
A Method for Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and D-S Theory of Evidence: Application to Medical Diagnosis. Comput. Math. Methods Medicine 2014: 581316:1-581316:12 (2014)
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