Yang-Geng Fu - RankMe

35 papers A* 2B 1Journal 27Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Curriculum-guided graph self-augmentation: A progressive deepening framework for GNNs. Neural Networks Li Yu, Qirong Zhang, Jin Li, Xinlong Chen, Yang-Geng Fu
2026	J	`jnl`	Feature space variation-based active learning sample query strategy for graph deep learning. Expert Syst. Appl. Xinlong Chen, Mingyu Lin, Yuzhuo Wang, Jin Li, Feiyang Ye, Yang-Geng Fu
2026	J	`jnl`	UniTrain: A universal iterative semi-supervised training framework for graph representation learning. Neural Networks Xinlong Chen, Jin Li, Yisong Huang, Jianzhi Zhuang, Chenjunhao Shi, Zuhao Xu, Yang-Geng Fu
2025	J	`jnl`	Another Perspective of Over-Smoothing: Alleviating Semantic Over-Smoothing in Deep GNNs. IEEE Trans. Neural Networks Learn. Syst. Jin Li, Qirong Zhang, Wenxi Liu, Antoni B. Chan, Yang-Geng Fu
2025	J	`jnl`	Enhanced Graph Transformer: Multi-scale attention with Heterophilous Curriculum Augmentation. Knowl. Based Syst. Jianzhi Zhuang, Jin Li, Chenjunhao Shi, Xinyi Lin, Yang-Geng Fu
2025	J	`jnl`	GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothing. Neural Networks Yang-Geng Fu, Xinlong Chen, Shuling Xu, Jin Li, Xi Yao, Ziyang Huang, Ying-Ming Wang
2025	J	`jnl`	SE-GSSL: Soft-Mask enhanced graph self-supervised learning with multi-aspect knowledge encoding and adaptive sample selection. Knowl. Based Syst. Yang-Geng Fu, Xinlong Chen, Shuling Xu, Jin Li, Qirong Zhang, Wen Meng, Genggeng Liu
2024	J	`jnl`	A novel extended rule-based system based on K-Nearest Neighbor graph. Inf. Sci. Yang-Geng Fu, Xinyi Lin, Geng-Chao Fang, Jin Li, Hong-Yi Cai, Xiao-Ting Gong, Ying-Ming Wang
2024	A*	`conf`	Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs. AAAI Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu
2024	J	`jnl`	Curriculum-guided dynamic division strategy for graph contrastive learning. Knowl. Based Syst. Yuxi Lin, Qirong Zhang, Jin Li, Xiao-Ting Gong, Yang-Geng Fu
2024	J	`jnl`	DWSSA: Alleviating over-smoothness for deep Graph Neural Networks. Neural Networks Qirong Zhang, Jin Li, Qingqing Ye, Yuxi Lin, Xinlong Chen, Yang-Geng Fu
2024	J	`jnl`	GMP-Net: Graph based Missing Part Patching Network for Point Cloud Completion. Eng. Appl. Artif. Intell. Min-Ming Huang, Yang-Geng Fu, Genggeng Liu, Longkun Guo, Wanling Liu
2024	—	`conf`	HopMAE: Self-supervised Graph Masked Auto-Encoders from a Hop Perspective. ICIC (LNAI 2) Chenjunhao Shi, Jin Li, Jianzhi Zhuang, Xi Yao, Yisong Huang, Yang-Geng Fu
2024	J	`jnl`	LightCapsGNN: light capsule graph neural network for graph classification. Knowl. Inf. Syst. Yucheng Yan, Jin Li, Shuling Xu, Xinlong Chen, Genggeng Liu, Yang-Geng Fu
2024	A*	`conf`	Training Graph Transformers via Curriculum-Enhanced Attention Distillation. ICLR Yisong Huang, Jin Li, Xinlong Chen, Yang-Geng Fu
2023	J	`jnl`	Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs. CoRR Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu
2023	J	`jnl`	Disjunctive belief rule-based reasoning for decision making with incomplete information. Inf. Sci. Yang-Geng Fu, Geng-Chao Fang, Yong-Yu Liu, Longkun Guo, Ying-Ming Wang
2023	—	`conf`	Graph Contrastive Representation Learning with Input-Aware and Cluster-Aware Regularization. ECML/PKDD (2) Jin Li, Bingshi Li, Qirong Zhang, Xinlong Chen, Xinyang Huang, Longkun Guo, Yang-Geng Fu
2023	J	`jnl`	Relation-aware Graph Contrastive Learning. Parallel Process. Lett. Bingshi Li, Jin Li, Yang-Geng Fu
2023	J	`jnl`	Semi-Supervised Node Classification via Semi-Global Graph Transformer Based on Homogeneity Augmentation. Parallel Process. Lett. Jin Li, Yisong Huang, Xinlong Chen, Yang-Geng Fu
2021	—	`conf`	Construction and Reasoning for Interval-Valued EBRB Systems. ICONIP (3) Jifeng Ye, Yang-Geng Fu
2021	J	`jnl`	Construction of EBRB classifier for imbalanced data based on Fuzzy C-Means clustering. Knowl. Based Syst. Yang-Geng Fu, Jifeng Ye, Zefeng Yin, Longjiang Chen, Ying-Ming Wang, Genggeng Liu
2021	—	`conf`	Developing GCN: Graph Convolutional Network with Evolving Parameters for Dynamic Graphs. ICONIP (6) Lin Lan, Jin Li, Yang-Geng Fu
2021	J	`jnl`	EBRB cascade classifier for imbalanced data via rule weight updating. Knowl. Based Syst. Yang-Geng Fu, Hong-Yun Huang, Yu Guan, Ying-Ming Wang, Wenxi Liu, Weijie Fang
2021	J	`jnl`	Random clustering forest for extended belief rule-based system. Soft Comput. Nannan Chen, Xiao-Ting Gong, Ying-Ming Wang, Chun-Yang Zhang, Yang-Geng Fu
2020	J	`jnl`	A framework for optimizing extended belief rule base systems with improved Ball trees. Knowl. Based Syst. Yang-Geng Fu, Jin-Hui Zhuang, Yu-Peng Chen, Longkun Guo, Ying-Ming Wang
2019	J	`jnl`	An Ensemble Approach for Extended Belief Rule-Based Systems with Parameter Optimization. Int. J. Comput. Intell. Syst. Hong-Yun Huang, Yan-Qing Lin, Qun Su, Xiao-Ting Gong, Ying-Ming Wang, Yang-Geng Fu
2018	J	`jnl`	A consistency analysis-based rule activation method for extended belief-rule-based systems. Inf. Sci. Long-Hao Yang, Ying-Ming Wang, Yang-Geng Fu
2018	B	`conf`	An Optimized Artificial Bee Colony Based Parameter Training Method for Belief Rule-Base. Big Data (CCF) Manna Su, Zhi-Jian Fang, Shao-Zhen Ye, Ying-Jie Wu, Yang-Geng Fu
2017	J	`jnl`	A data envelopment analysis (DEA)-based method for rule reduction in extended belief-rule-based systems. Knowl. Based Syst. Long-Hao Yang, Ying-Ming Wang, Yi-Xin Lan, Lei Chen, Yang-Geng Fu
2017	J	`jnl`	A disjunctive belief rule-based expert system for bridge risk assessment with dynamic parameter optimization model. Comput. Ind. Eng. Long-Hao Yang, Ying-Ming Wang, Lei-Lei Chang, Yang-Geng Fu
2017	J	`jnl`	A rule activation method for extended belief rule base with VP-tree and MVP-tree. J. Intell. Fuzzy Syst. Yan-Qing Lin, Yang-Geng Fu, Qun Su, Ying-Ming Wang, Xiao-Ting Gong
2016	—	`conf`	A Belief Rule Base Approach for Smart Traffic Lights. ISCID (1) Yan-Qing Lin, Min Li, Xiao-Cong Chen, Yang-Geng Fu, Zi-Wen Chi
2016	J	`jnl`	Dynamic rule adjustment approach for optimizing belief rule-base expert system. Knowl. Based Syst. Ying-Ming Wang, Long-Hao Yang, Yang-Geng Fu, Lei-Lei Chang, Kwai-Sang Chin
2016	J	`jnl`	Multi-attribute search framework for optimizing extended belief rule-based systems. Inf. Sci. Long-Hao Yang, Ying-Ming Wang, Qun Su, Yang-Geng Fu, Kwai-Sang Chin