Yang-Geng Fu

35 papers A* 2B 1Journal 27Unranked 5
YearRankTypeTitle / 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