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Yanggeng Fu
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2020 – today
- 2024
- [j29]Peichao Lai
, Feiyang Ye, Yanggeng Fu
M-Sim: Multi-level Semantic Inference Model for Chinese short answer scoring in low-resource scenarios. Comput. Speech Lang. 84: 101575 (2024) - [j28]Min-Ming Huang, Yang-Geng Fu
GMP-Net: Graph based Missing Part Patching Network for Point Cloud Completion. Eng. Appl. Artif. Intell. 130: 107656 (2024) - [j27]Peichao Lai, Feiyang Ye, Yanggeng Fu
CogNLG: Cognitive graph for KG-to-text generation. Expert Syst. J. Knowl. Eng. 41(1) (2024) - [j26]Xiaohui Lin
Exploiting negative correlation for unsupervised anomaly detection in contaminated time series. Expert Syst. Appl. 249: 123535 (2024) - [j25]Yang-Geng Fu
A novel extended rule-based system based on K-Nearest Neighbor graph. Inf. Sci. 662: 120158 (2024) - [j24]Yuxi Lin, Qirong Zhang, Jin Li, Xiao-Ting Gong, Yang-Geng Fu
Curriculum-guided dynamic division strategy for graph contrastive learning. Knowl. Based Syst. 300: 112163 (2024) - [j23]Qirong Zhang, Jin Li, Qingqing Ye
DWSSA: Alleviating over-smoothness for deep Graph Neural Networks. Neural Networks 174: 106228 (2024) - [c11]Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu:
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs. AAAI 2024: 13528-13536 - [c10]Chenjunhao Shi, Jin Li, Jianzhi Zhuang, Xi Yao, Yisong Huang, Yang-Geng Fu:
HopMAE: Self-supervised Graph Masked Auto-Encoders from a Hop Perspective. ICIC (LNAI 2) 2024: 343-355 - [c9]Yisong Huang, Jin Li, Xinlong Chen, Yang-Geng Fu:
Training Graph Transformers via Curriculum-Enhanced Attention Distillation. ICLR 2024 - 2023
- [j22]Yang-Geng Fu
Disjunctive belief rule-based reasoning for decision making with incomplete information. Inf. Sci. 625: 49-64 (2023) - [j21]Bingshi Li, Jin Li, Yang-Geng Fu
Relation-aware Graph Contrastive Learning. Parallel Process. Lett. 33(1&2): 2340007:1-2340007:15 (2023) - [j20]Jin Li
Semi-Supervised Node Classification via Semi-Global Graph Transformer Based on Homogeneity Augmentation. Parallel Process. Lett. 33(1&2): 2340008:1-2340008:25 (2023) - [c8]Jin Li
Graph Contrastive Representation Learning with Input-Aware and Cluster-Aware Regularization. ECML/PKDD (2) 2023: 666-682 - [i2]Weijie Fang, Yanggeng Fu, Jiaquan Gao, Longkun Guo, Gregory Z. Gutin, Xiaoyan Zhang:
Acceleration for Timing-Aware Gate-Level Logic Simulation with One-Pass GPU Parallelism. CoRR abs/2304.13398 (2023) - [i1]Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu:
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs. CoRR abs/2312.08221 (2023) - 2022
- [c7]Peichao Lai
PCBERT: Parent and Child BERT for Chinese Few-shot NER. COLING 2022: 2199-2209 - [c6]Wanling Liu, Yilei Wang, Yanggeng Fu, Fuling Ye, Peichao Lai:
Intelligent Experimental Teaching Auxiliary Platform Based on BERT. ICCSE (2) 2022: 245-258 - 2021
- [j19]Jinhui Zhuang
Extended Belief Rule-Base Optimization Base on Clustering Tree and Parameter Optimization. IEEE Access 9: 12533-12544 (2021) - [j18]Yu Guan
Belief-Rule-Base Inference Method Based on Gradient Descent With Momentum. IEEE Access 9: 34487-34499 (2021) - [j17]Yang-Geng Fu
EBRB cascade classifier for imbalanced data via rule weight updating. Knowl. Based Syst. 223: 107010 (2021) - [j16]Yang-Geng Fu
Construction of EBRB classifier for imbalanced data based on Fuzzy C-Means clustering. Knowl. Based Syst. 234: 107590 (2021) - [j15]Nannan Chen, Xiao-Ting Gong, Ying-Ming Wang, Chun-Yang Zhang, Yang-Geng Fu
Random clustering forest for extended belief rule-based system. Soft Comput. 25(6): 4609-4619 (2021) - [c5]Longjiang Chen
Rule Reduction for EBRB Classification Based on Clustering. WISA 2021: 442-454 - [c4]Jifeng Ye
Construction and Reasoning for Interval-Valued EBRB Systems. ICONIP (3) 2021: 257-268 - [c3]Lin Lan
Developing GCN: Graph Convolutional Network with Evolving Parameters for Dynamic Graphs. ICONIP (6) 2021: 369-376 - 2020
- [j14]Weijie Fang
A Balance Adjusting Approach of Extended Belief-Rule-Based System for Imbalanced Classification Problem. IEEE Access 8: 41201-41212 (2020) - [j13]Yanggeng Fu
Construction and Reasoning Approach of Belief Rule-Base for Classification Base on Decision Tree. IEEE Access 8: 138046-138057 (2020) - [j12]Yang-Geng Fu
A framework for optimizing extended belief rule base systems with improved Ball trees. Knowl. Based Syst. 210: 106484 (2020)
2010 – 2019
- 2019
- [j11]Wanling Liu, Weikun Wu, Yingming Wang, Yanggeng Fu
Selective ensemble learning method for belief-rule-base classification system based on PAES. Big Data Min. Anal. 2(4): 306-318 (2019) - [j10]Hong-Yun Huang, Yan-Qing Lin, Qun Su, Xiao-Ting Gong, Ying-Ming Wang, Yang-Geng Fu
An Ensemble Approach for Extended Belief Rule-Based Systems with Parameter Optimization. Int. J. Comput. Intell. Syst. 12(2): 1371-1381 (2019) - 2018
- [j9]Long-Hao Yang
A consistency analysis-based rule activation method for extended belief-rule-based systems. Inf. Sci. 445-446: 50-65 (2018) - [c2]Manna Su, Zhi-Jian Fang, Shao-Zhen Ye, Ying-Jie Wu, Yang-Geng Fu
An Optimized Artificial Bee Colony Based Parameter Training Method for Belief Rule-Base. Big Data (CCF) 2018: 77-93 - 2017
- [j8]Long-Hao Yang
A disjunctive belief rule-based expert system for bridge risk assessment with dynamic parameter optimization model. Comput. Ind. Eng. 113: 459-474 (2017) - [j7]Yan-Qing Lin, Yang-Geng Fu
A rule activation method for extended belief rule base with VP-tree and MVP-tree. J. Intell. Fuzzy Syst. 33(6): 3695-3705 (2017) - [j6]Long-Hao Yang
A data envelopment analysis (DEA)-based method for rule reduction in extended belief-rule-based systems. Knowl. Based Syst. 123: 174-187 (2017) - 2016
- [j5]Long-Hao Yang
Multi-attribute search framework for optimizing extended belief rule-based systems. Inf. Sci. 370-371: 159-183 (2016) - [j4]Ying-Ming Wang, Long-Hao Yang
Dynamic rule adjustment approach for optimizing belief rule-base expert system. Knowl. Based Syst. 96: 40-60 (2016) - [c1]Yan-Qing Lin, Min Li, Xiao-Cong Chen, Yang-Geng Fu
A Belief Rule Base Approach for Smart Traffic Lights. ISCID (1) 2016: 460-463 - 2015
- [j3]Hanjie Wang, Longhao Yang, Yanggeng Fu, Yingjie Wu, Xiaoting Gong:
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). 计算机科学 42(5): 88-93 (2015) - 2011
- [j2]Yanggeng Fu, Zhengrong Liu:
Existence of travelling wavefronts of the KdV-Burgers equation. Appl. Math. Lett. 24(6): 897-900 (2011) - 2010
- [j1]Yanggeng Fu, Zhengrong Liu:
Persistence of travelling fronts of KdV-Burgers-Kuramoto equation. Appl. Math. Comput. 216(7): 2199-2206 (2010)
Coauthor Index
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