Persistence of travelling fronts of KdV-Burgers-Kuramoto equation. - Yanggeng Fu; Zhengrong Liu (Appl. Math. Comput., 2010)

Existence of travelling wavefronts of the KdV-Burgers equation. - Yanggeng Fu; Zhengrong Liu (Appl. Math. Lett., 2011)

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)

A Belief Rule Base Approach for Smart Traffic Lights. - Yan-Qing Lin; Min Li; Xiao-Cong Chen; Yang-Geng Fu; Zi-Wen Chi (ISCID (1), 2016)

Multi-attribute search framework for optimizing extended belief rule-based systems. - Long-Hao Yang; Ying-Ming Wang 001; Qun Su; Yang-Geng Fu; Kwai-Sang Chin (Inf. Sci., 2016)

Dynamic rule adjustment approach for optimizing belief rule-base expert system. - Ying-Ming Wang 001; Long-Hao Yang; Yang-Geng Fu; Lei-Lei Chang 001; Kwai-Sang Chin (Knowl. Based Syst., 2016)

A disjunctive belief rule-based expert system for bridge risk assessment with dynamic parameter optimization model. - Long-Hao Yang; Ying-Ming Wang 001; Lei-Lei Chang 001; Yang-Geng Fu (Comput. Ind. Eng., 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 001; Xiao-Ting Gong (J. Intell. Fuzzy Syst., 2017)

A data envelopment analysis (DEA)-based method for rule reduction in extended belief-rule-based systems. - Long-Hao Yang; Ying-Ming Wang 001; Yi-Xin Lan; Lei Chen 059; Yang-Geng Fu (Knowl. Based Syst., 2017)

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 (Big Data (CCF), 2018)

A consistency analysis-based rule activation method for extended belief-rule-based systems. - Long-Hao Yang; Ying-Ming Wang 001; Yang-Geng Fu (Inf. Sci., 2018)

Selective ensemble learning method for belief-rule-base classification system based on PAES. - Wanling Liu; Weikun Wu; Yingming Wang 001; Yanggeng Fu; Yanqing Lin (Big Data Min. Anal., 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 001; Yang-Geng Fu (Int. J. Comput. Intell. Syst., 2019)

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)

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 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 001 (Knowl. Based Syst., 2020)

Rule Reduction for EBRB Classification Based on Clustering. - Longjiang Chen; Yanggeng Fu; Nannan Chen; Jifeng Ye; Genggeng Liu (WISA, 2021)

Developing GCN: Graph Convolutional Network with Evolving Parameters for Dynamic Graphs. - Lin Lan; Jin Li; Yang-Geng Fu (ICONIP (6), 2021)

Construction and Reasoning for Interval-Valued EBRB Systems. - Jifeng Ye; Yang-Geng Fu (ICONIP (3), 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)

Extended Belief Rule-Base Optimization Base on Clustering Tree and Parameter Optimization. - Jin-Hui Zhuang; Jifeng Ye; Nannan Chen; Weijie Fang; Xuecheng Fan; Yanggeng Fu (IEEE Access, 2021)

EBRB cascade classifier for imbalanced data via rule weight updating. - Yang-Geng Fu; Hong-Yun Huang; Yu Guan; Ying-Ming Wang 001; Wenxi Liu; Weijie Fang (Knowl. Based Syst., 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 001; Genggeng Liu (Knowl. Based Syst., 2021)

Random clustering forest for extended belief rule-based system. - Nannan Chen; Xiao-Ting Gong; Ying-Ming Wang 001; Chun-Yang Zhang; Yang-Geng Fu (Soft Comput., 2021)

PCBERT: Parent and Child BERT for Chinese Few-shot NER. - Peichao Lai; Feiyang Ye 002; Lin Zhang; Zhiwei Chen; Yanggeng Fu; Yingjie Wu; Yilei Wang (COLING, 2022)

Intelligent Experimental Teaching Auxiliary Platform Based on BERT. - Wanling Liu; Yilei Wang; Yanggeng Fu; Fuling Ye; Peichao Lai (ICCSE (2), 2022)

Graph Contrastive Representation Learning with Input-Aware and Cluster-Aware Regularization. - Jin Li 032; Bingshi Li; Qirong Zhang; Xinlong Chen; Xinyang Huang; Longkun Guo; Yang-Geng Fu (ECML/PKDD (2), 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 001 (CoRR, 2023)

Semi-Supervised Node Classification via Semi-Global Graph Transformer Based on Homogeneity Augmentation. - Jin Li 032; Yisong Huang 002; Xinlong Chen; Yang-Geng Fu (Parallel Process. Lett., 2023)

Relation-aware Graph Contrastive Learning. - Bingshi Li; Jin Li 002; Yang-Geng Fu (Parallel Process. Lett., 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 001 (Inf. Sci., 2023)

Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs. - Jin Li 032; Qirong Zhang; Shuling Xu; Xinlong Chen; Longkun Guo; Yang-Geng Fu (AAAI, 2024)

HopMAE: Self-supervised Graph Masked Auto-Encoders from a Hop Perspective. - Chenjunhao Shi; Jin Li 032; Jianzhi Zhuang; Xi Yao; Yisong Huang 002; Yang-Geng Fu (ICIC (LNAI 2), 2024)

Training Graph Transformers via Curriculum-Enhanced Attention Distillation. - Yisong Huang 002; Jin Li 032; Xinlong Chen; Yang-Geng Fu (ICLR, 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)

Exploiting negative correlation for unsupervised anomaly detection in contaminated time series. - Xiaohui Lin 014; Zuoyong Li; Haoyi Fan; Yanggeng Fu; Xinwei Chen (Expert Syst. Appl., 2024)

A novel extended rule-based system based on K-Nearest Neighbor graph. - Yang-Geng Fu; Xinyi Lin; Geng-Chao Fang; Jin Li; Hong-Yi Cai; Xiao-Ting Gong; Ying-Ming Wang 001 (Inf. Sci., 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)

DWSSA: Alleviating over-smoothness for deep Graph Neural Networks. - Qirong Zhang; Jin Li 032; Qingqing Ye 001; Yuxi Lin; Xinlong Chen; Yang-Geng Fu (Neural Networks, 2024)

Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning. - Jianping Cai; Qingqing Ye 001; Haibo Hu 001; Ximeng Liu; Yanggeng Fu (IEEE Trans. Inf. Forensics Secur., 2024)

CogNLG: Cognitive graph for KG-to-text generation. - Peichao Lai; Feiyang Ye 002; Yanggeng Fu; Zhiwei Chen; Yingjie Wu; Yilei Wang; Victor Chang 001 (Expert Syst. J. Knowl. Eng., 2024)

M-Sim: Multi-level Semantic Inference Model for Chinese short answer scoring in low-resource scenarios. - Peichao Lai; Feiyang Ye 002; Yanggeng Fu; Zhiwei Chen; Yingjie Wu; Yilei Wang (Comput. Speech Lang., 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., 2024)

FE-CFNER: Feature Enhancement-based approach for Chinese Few-shot Named Entity Recognition. - Sanhe Yang; Peichao Lai; Ruixiong Fang; Yanggeng Fu; Feiyang Ye 002; Yilei Wang (Comput. Speech Lang., 2025)

SE-GSSL: Soft-Mask enhanced graph self-supervised learning with multi-aspect knowledge encoding and adaptive sample selection. - Yang-Geng Fu; Xinlong Chen; Shuling Xu; Jin Li; Qirong Zhang; Wen Meng; Genggeng Liu (Knowl. Based Syst., 2025)

Enhanced Graph Transformer: Multi-scale attention with Heterophilous Curriculum Augmentation. - Jianzhi Zhuang; Jin Li 032; Chenjunhao Shi; Xinyi Lin; Yang-Geng Fu (Knowl. Based Syst., 2025)

GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothing. - Yang-Geng Fu; Xinlong Chen; Shuling Xu; Jin Li 032; Xi Yao; Ziyang Huang; Ying-Ming Wang (Neural Networks, 2025)

Another Perspective of Over-Smoothing: Alleviating Semantic Over-Smoothing in Deep GNNs. - Jin Li 032; Qirong Zhang; Wenxi Liu; Antoni B. Chan; Yang-Geng Fu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Acceleration of Timing-Aware Gate-Level Logic Simulation Through One-Pass GPU Parallelism. - Weijie Fang; Yanggeng Fu; Jiaquan Gao; Longkun Guo; Gregory Z. Gutin; Xiaoyan Zhang 001 (IEEE Trans. Computers, 2025)