Guoqiu Wen - RankMe

47 papers A* 7B 1C 1Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A pseudo-labeling approach based on knowledge distillation for graph few-shot learning. Inf. Process. Manag. Zongqian Wu, Peng Zhou, Guoqiu Wen, Xiaofeng Zhu
2025	J	`jnl`	Global-Graph Guided and Local-Graph Weighted Contrastive Learning for Unified Clustering on Incomplete and Noise Multi-View Data. CoRR Hongqing He, Jie Xu, Wenyuan Yang, Yonghua Zhu, Guoqiu Wen, Xiaofeng Zhu
2025	A*	`conf`	Graph Embedded Contrastive Learning for Multi-View Clustering. IJCAI Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu
2025	A*	`conf`	Multiplex Graph Representation Learning with Homophily and Consistency. AAAI Yudi Huang, Ci Nie, Hongqing He, Yujie Mo, Yonghua Zhu, Guoqiu Wen, Xiaofeng Zhu
2025	A*	`conf`	Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation. AAAI Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Yonghua Zhu, Xiaofeng Zhu
2025	B	`conf`	Time Scale Gradient Aggregation Strategy for Systems Biology Parameter Identification. IJCNN Songyang Tong, Jiayang Su, Zhirong Huang, Guoqiu Wen
2024	—	`conf`	Graph Fusion Based Autoencoder for Node Clustering. ADMA (3) Ci Nie, Yujing Liu, Jian Wei, Guoqiu Wen
2024	—	`conf`	GraphDHV: Graph Neural Network with Dual Hybrid View on Imbalanced Node Classification. COCOON (2) Longqing Du, Guangquan Lu, Yadan Han, Zhiping Luo, Guoqiu Wen, Liang Zhang, Wanxin Chen, Shichao Zhang
2024	A*	`conf`	Multiplex Graph Representation Learning via Bi-level Optimization. IJCAI Yudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen, Xiaofeng Zhu
2024	J	`jnl`	Noise-resistant graph neural networks with manifold consistency and label consistency. Expert Syst. Appl. Zhengyu Lu, Yujing Liu, Guoqiu Wen, Bo Zhou, Wenzhen Zhang, Jilian Zhang
2024	J	`jnl`	Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation. CoRR Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Ping Hu, Xiaofeng Zhu
2023	J	`jnl`	Dynamic graph convolutional networks by semi-supervised contrastive learning. Pattern Recognit. Guolin Zhang, Zehui Hu, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu
2023	J	`jnl`	Multi-scale graph classification with shared graph neural network. World Wide Web (WWW) Peng Zhou, Zongqian Wu, Guoqiu Wen, Kun Tang, Junbo Ma
2023	A*	`conf`	Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels. ACM Multimedia Yujing Liu, Zongqian Wu, Zhengyu Lu, Guoqiu Wen, Junbo Ma, Guangquan Lu, Xiaofeng Zhu
2023	A*	`conf`	Totally Dynamic Hypergraph Neural Networks. IJCAI Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu
2022	A*	`conf`	Information Augmentation for Few-shot Node Classification. IJCAI Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu
2022	J	`jnl`	One-step spectral rotation clustering with balanced constrains. World Wide Web Guoqiu Wen, Yonghua Zhu, Linjun Chen, Shichao Zhang
2021	C	`conf`	Balanced Spectral Clustering Algorithm Based on Feature Selection. ADMA Qimin Luo, Guangquan Lu, Guoqiu Wen, Zidong Su, Xingyi Liu, Jian Wei
2021	J	`jnl`	Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering. Comput. J. Guoqiu Wen, Yonghua Zhu, Linjun Chen, Mengmeng Zhan, Yangcai Xie
2021	J	`jnl`	One-step spectral rotation clustering for imbalanced high-dimensional data. Inf. Process. Manag. Guoqiu Wen, Xianxian Li, Yonghua Zhu, Linjun Chen, Qimin Luo, Malong Tan
2020	J	`jnl`	An Efficient Algorithm Combining Spectral Clustering with Feature Selection. Neural Process. Lett. Qimin Luo, Guoqiu Wen, Leyuan Zhang, Mengmeng Zhan
2020	J	`jnl`	One-step spectral clustering based on self-paced learning. Pattern Recognit. Lett. Tao Tong, Jiangzhang Gan, Guoqiu Wen, Yangding Li
2020	J	`jnl`	Robust self-tuning spectral clustering. Neurocomputing Guoqiu Wen
2020	J	`jnl`	Self-paced Learning for Pattern Recognit. Lett. Hao Yu, Guoqiu Wen, Jiangzhang Gan, Wei Zheng, Cong Lei
2020	J	`jnl`	Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection. Neural Process. Lett. Guoqiu Wen, Yonghua Zhu, Mengmeng Zhan, Malong Tan
2020	J	`jnl`	Spectral clustering algorithm combining local covariance matrix with normalization. Neural Comput. Appl. Tingting Du, Guoqiu Wen, Zhiguo Cai, Wei Zheng, Malong Tan, Yangding Li
2020	J	`jnl`	Spectral representation learning for one-step spectral rotation clustering. Neurocomputing Guoqiu Wen, Yonghua Zhu, Wei Zheng
2020	J	`jnl`	Supervised feature selection by self-paced learning regression. Pattern Recognit. Lett. Jiangzhang Gan, Guoqiu Wen, Hao Yu, Wei Zheng, Cong Lei
2020	J	`jnl`	Unsupervised feature selection by self-paced learning regularization. Pattern Recognit. Lett. Wei Zheng, Xiaofeng Zhu, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan
2020	J	`jnl`	Using Locality Preserving Projections to Improve the Performance of Kernel Clustering. Neural Process. Lett. Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu
2019	—	`conf`	A Clustering Algorithm via Kernel Function and Locality Preserving Projections. SSCI Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu
2019	—	`conf`	A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning. SSCI Linjun Chen, Guangquan Lu, Guoqiu Wen, Jiaye Li, Malong Tan
2019	J	`jnl`	Double weighted K-nearest voting for label aggregation in crowdsourcing learning. Multim. Tools Appl. Jiaye Li, Hao Yu, Leyuan Zhang, Guoqiu Wen
2019	J	`jnl`	Exclusive feature selection and multi-view learning for Alzheimer's Disease. J. Vis. Commun. Image Represent. Jiaye Li, Lin Wu, Guoqiu Wen, Zhi Li
2019	J	`jnl`	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 Shanwen Zhang, Guoqiu Wen, Leyuan Zhang, Jiaye Li
2018	J	`jnl`	Adaptive structure learning for low-rank supervised feature selection. Pattern Recognit. Lett. Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen
2018	J	`jnl`	Self-tuning clustering for high-dimensional data. World Wide Web Guoqiu Wen, Yonghua Zhu, Zhiguo Cai, Wei Zheng
2017	J	`jnl`	A novel low-rank hypergraph feature selection for multi-view classification. Neurocomputing Xiaohui Cheng, Yonghua Zhu, Jingkuan Song, Guoqiu Wen, Wei He
2017	J	`jnl`	Double sparse-representation feature selection algorithm for classification. Multim. Tools Appl. Yonghua Zhu, Xuejun Zhang, Guoqiu Wen, Wei He, Debo Cheng
2017	J	`jnl`	Feature self-representation based hypergraph unsupervised feature selection via low-rank representation. Neurocomputing Wei He, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, Guoqiu Wen
2017	J	`jnl`	Low-rank feature selection for multi-view regression. Multim. Tools Appl. Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang
2017	—	`conf`	Robust Features Selection via Structure Learning and Multiple Subspace Learning. ICBK Yonghua Zhu, Xuejun Zhang, Rongyao Hu, Guoqiu Wen
2017	J	`jnl`	Self-representation dimensionality reduction for multi-model classification. Neurocomputing Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen
2017	J	`jnl`	Spectral clustering based on hypergraph and self-re-presentation. Multim. Tools Appl. Yonggang Li, Shichao Zhang, Debo Cheng, Wei He, Guoqiu Wen, Qing Xie
2015	J	`jnl`	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 Zhaowen Li, Guoqiu Wen, Ningxin Xie
2015	J	`jnl`	Soft coverings and their parameter reductions. Appl. Soft Comput. Zhaowen Li, Ningxin Xie, Guoqiu Wen
2014	J	`jnl`	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 Ningxin Xie, Guoqiu Wen, Zhaowen Li