Yanggeng Fu

According to our database, Yanggeng Fu authored at least 45 papers between 2010 and 2025.

Collaborative distances:

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

2025

GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothing.

Yang-Geng Fu, Xinlong Chen, Shuling Xu, Jin Li, Xi Yao, Ziyang Huang, Ying-Ming Wang

Neural Networks, 2025

FE-CFNER: Feature Enhancement-based approach for Chinese Few-shot Named Entity Recognition.

Sanhe Yang, Peichao Lai, Ruixiong Fang, Yanggeng Fu, Feiyang Ye, Yilei Wang

Comput. Speech Lang., 2025

2024

LightCapsGNN: light capsule graph neural network for graph classification.

Yucheng Yan, Jin Li, Shuling Xu, Xinlong Chen, Genggeng Liu, Yang-Geng Fu

Knowl. Inf. Syst., October, 2024

M-Sim: Multi-level Semantic Inference Model for Chinese short answer scoring in low-resource scenarios.

Peichao Lai, Feiyang Ye, Yanggeng Fu, Zhiwei Chen, Yingjie Wu, Yilei Wang

Comput. Speech Lang., March, 2024

CogNLG: Cognitive graph for KG-to-text generation.

Peichao Lai, Feiyang Ye, Yanggeng Fu, Zhiwei Chen, Yingjie Wu, Yilei Wang, Victor Chang

Expert Syst. J. Knowl. Eng., January, 2024

Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning.

Jianping Cai, Qingqing Ye, Haibo Hu, Ximeng Liu, Yanggeng Fu

IEEE Trans. Inf. Forensics Secur., 2024

DWSSA: Alleviating over-smoothness for deep Graph Neural Networks.

Qirong Zhang, Jin Li, Qingqing Ye, Yuxi Lin, Xinlong Chen, Yang-Geng Fu

Neural Networks, 2024

Curriculum-guided dynamic division strategy for graph contrastive learning.

Yuxi Lin, Qirong Zhang, Jin Li, Xiao-Ting Gong, Yang-Geng Fu

Knowl. Based Syst., 2024

A novel extended rule-based system based on K-Nearest Neighbor graph.

Yang-Geng Fu, Xin-Yi Lin, Geng-Chao Fang, Jin Li, Hong-Yi Cai, Xiao-Ting Gong, Ying-Ming Wang

Inf. Sci., 2024

Exploiting negative correlation for unsupervised anomaly detection in contaminated time series.

Xiaohui Lin, Zuoyong Li, Haoyi Fan, Yanggeng Fu, Xinwei Chen

Expert Syst. Appl., 2024

GMP-Net: Graph based Missing Part Patching Network for Point Cloud Completion.

Min-Ming Huang, Yang-Geng Fu, Genggeng Liu, Longkun Guo, Wanling Liu

Eng. Appl. Artif. Intell., 2024

Training Graph Transformers via Curriculum-Enhanced Attention Distillation.

Yisong Huang, Jin Li, Xinlong Chen, Yang-Geng Fu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

HopMAE: Self-supervised Graph Masked Auto-Encoders from a Hop Perspective.

Chenjunhao Shi, Jin Li, Jianzhi Zhuang, Xi Yao, Yisong Huang, Yang-Geng Fu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs.

Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu

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

2023

Disjunctive belief rule-based reasoning for decision making with incomplete information.

Yang-Geng Fu, Geng-Chao Fang, Yong-Yu Liu, Longkun Guo, Ying-Ming Wang

Inf. Sci., May, 2023

Relation-aware Graph Contrastive Learning.

Bingshi Li, Jin Li, Yang-Geng Fu

Parallel Process. Lett., 2023

Semi-Supervised Node Classification via Semi-Global Graph Transformer Based on Homogeneity Augmentation.

Jin Li, Yisong Huang, Xinlong Chen, Yang-Geng Fu

Parallel Process. Lett., 2023

Acceleration for Timing-Aware Gate-Level Logic Simulation with One-Pass GPU Parallelism.

Weijie Fang, Yanggeng Fu, Jiaquan Gao, Longkun Guo, Gregory Z. Gutin, Xiaoyan Zhang

CoRR, 2023

Graph Contrastive Representation Learning with Input-Aware and Cluster-Aware Regularization.

Jin Li, Bingshi Li, Qirong Zhang, Xinlong Chen, Xinyang Huang, Longkun Guo, Yang-Geng Fu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Intelligent Experimental Teaching Auxiliary Platform Based on BERT.

Wanling Liu, Yilei Wang, Yanggeng Fu, Fuling Ye, Peichao Lai

Proceedings of the Computer Science and Education - 17th International Conference, 2022

PCBERT: Parent and Child BERT for Chinese Few-shot NER.

Peichao Lai, Feiyang Ye, Lin Zhang, Zhiwei Chen, Yanggeng Fu, Yingjie Wu, Yilei Wang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Random clustering forest for extended belief rule-based system.

Nannan Chen, Xiao-Ting Gong, Ying-Ming Wang, Chun-Yang Zhang, Yang-Geng Fu

Soft Comput., 2021

Construction of EBRB classifier for imbalanced data based on Fuzzy C-Means clustering.

Yang-Geng Fu, Jifeng Ye, Zefeng Yin, Longjiang Chen, Ying-Ming Wang, Genggeng Liu

Knowl. Based Syst., 2021

EBRB cascade classifier for imbalanced data via rule weight updating.

Yang-Geng Fu, Hong-Yun Huang, Yu Guan, Ying-Ming Wang, Wenxi Liu, Weijie Fang

Knowl. Based Syst., 2021

Extended Belief Rule-Base Optimization Base on Clustering Tree and Parameter Optimization.

Jinhui Zhuang, Jifeng Ye, Nannan Chen, Weijie Fang, Xuecheng Fan, Yanggeng Fu

IEEE Access, 2021

Belief-Rule-Base Inference Method Based on Gradient Descent With Momentum.

Yu Guan, Yanggeng Fu, Longjiang Chen, Genggeng Liu, Lan Sun

IEEE Access, 2021

Construction and Reasoning for Interval-Valued EBRB Systems.

Jifeng Ye, Yang-Geng Fu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Developing GCN: Graph Convolutional Network with Evolving Parameters for Dynamic Graphs.

Lin Lan, Jin Li, Yang-Geng Fu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Rule Reduction for EBRB Classification Based on Clustering.

Longjiang Chen, Yanggeng Fu, Nannan Chen, Jifeng Ye, Genggeng Liu

Proceedings of the Web Information Systems and Applications, 2021

2020

A framework for optimizing extended belief rule base systems with improved Ball trees.

Yang-Geng Fu, Jin-Hui Zhuang, Yu-Peng Chen, Longkun Guo, Ying-Ming Wang

Knowl. Based Syst., 2020

Construction and Reasoning Approach of Belief Rule-Base for Classification Base on Decision Tree.

Yanggeng Fu, Zefeng Yin, Manna Su, Yingjie Wu, Genggeng Liu

IEEE Access, 2020

A Balance Adjusting Approach of Extended Belief-Rule-Based System for Imbalanced Classification Problem.

Weijie Fang, Xiaoting Gong, Genggeng Liu, Yingjie Wu, Yanggeng Fu

IEEE Access, 2020

2019

An Ensemble Approach for Extended Belief Rule-Based Systems with Parameter Optimization.

Hong-Yun Huang, Yan-Qing Lin, Qun Su, Xiao-Ting Gong, Ying-Ming Wang, Yang-Geng Fu

Int. J. Comput. Intell. Syst., 2019

Selective ensemble learning method for belief-rule-base classification system based on PAES.

Wanling Liu, Weikun Wu, Yingming Wang, Yanggeng Fu, Yanqing Lin

Big Data Min. Anal., 2019

2018

A consistency analysis-based rule activation method for extended belief-rule-based systems.

Long-Hao Yang, Ying-Ming Wang, Yang-Geng Fu

Inf. Sci., 2018

An Optimized Artificial Bee Colony Based Parameter Training Method for Belief Rule-Base.

Manna Su, Zhi-Jian Fang, Shao-Zhen Ye, Ying-Jie Wu, Yang-Geng Fu

Proceedings of the Big Data - 6th CCF Conference, 2018

2017

A data envelopment analysis (DEA)-based method for rule reduction in extended belief-rule-based systems.

Long-Hao Yang, Ying-Ming Wang, Yi-Xin Lan, Lei Chen, Yang-Geng Fu

Knowl. Based Syst., 2017

A rule activation method for extended belief rule base with VP-tree and MVP-tree.

Yan-Qing Lin, Yang-Geng Fu, Qun Su, Ying-Ming Wang, Xiao-Ting Gong

J. Intell. Fuzzy Syst., 2017

A disjunctive belief rule-based expert system for bridge risk assessment with dynamic parameter optimization model.

Long-Hao Yang, Ying-Ming Wang, Lei-Lei Chang, Yang-Geng Fu

Comput. Ind. Eng., 2017

2016

Dynamic rule adjustment approach for optimizing belief rule-base expert system.

Ying-Ming Wang, Long-Hao Yang, Yang-Geng Fu, Lei-Lei Chang, Kwai-Sang Chin

Knowl. Based Syst., 2016

Multi-attribute search framework for optimizing extended belief rule-based systems.

Long-Hao Yang, Ying-Ming Wang, Qun Su, Yang-Geng Fu, Kwai-Sang Chin

Inf. Sci., 2016

A Belief Rule Base Approach for Smart Traffic Lights.

Yan-Qing Lin, Min Li, Xiao-Cong Chen, Yang-Geng Fu, Zi-Wen Chi

Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

2015

专家干预下置信规则库参数训练的差分进化算法 (Differential Evolutionary Algorithm for Parameter Training of Belief Rule Base under Expert Intervention).

Hanjie Wang, Longhao Yang, Yanggeng Fu, Yingjie Wu, Xiaoting Gong

计算机科学, 2015

2011

Existence of travelling wavefronts of the KdV-Burgers equation.

Yanggeng Fu, Zhengrong Liu

Appl. Math. Lett., 2011

2010

Persistence of travelling fronts of KdV-Burgers-Kuramoto equation.

Yanggeng Fu, Zhengrong Liu

Appl. Math. Comput., 2010