Chenyang Bu

According to our database, Chenyang Bu authored at least 62 papers between 2014 and 2024.

Collaborative distances:

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

2024

Layer-Wise Learning Rate Optimization for Task-Dependent Fine-Tuning of Pre-Trained Models: An Evolutionary Approach.

Chenyang Bu, Yuxin Liu, Manzong Huang, Jianxuan Shao, Shengwei Ji, Wenjian Luo, Xindong Wu

ACM Trans. Evol. Learn. Optim., December, 2024

FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning.

Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu

ACM Trans. Inf. Syst., September, 2024

High-degree penalty based global statistical network embedding for name disambiguation in anonymized graph.

Shengxing Bai, Chenyang Bu, Xindong Wu

Concurr. Comput. Pract. Exp., September, 2024

Fuzzy Ranking-Based Preference Completion via Graph Pattern Matching and Rematching.

Lei Li, Pan Liu, Chenyang Bu, Zan Zhang, Xindong Wu

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

LocalTGEP: A Lightweight Edge Partitioner for Time-Varying Graph.

Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu

IEEE Trans. Emerg. Top. Comput., 2024

Dynamic Parameter Estimation for Mixtures of Plackett-Luce Models.

Aling Liao, Zan Zhang, Chenyang Bu, Lei Li

Proceedings of the Intelligent Information Processing XII, 2024

Automatic Fusion for Multimodal Entity Alignment: A New Perspective from Automatic Architecture Search.

Chenyang Bu, Yunpeng Hong, Shiji Zang, Guojie Chang, Xindong Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

MMIEA: Multi-modal Interaction Entity Alignment model for knowledge graphs.

Bin Zhu, Meng Wu, Yunpeng Hong, Yi Chen, Bo Xie, Fei Liu, Chenyang Bu, Weiping Ding

Inf. Fusion, December, 2023

Cognitive Diagnostic Model Made More Practical by Genetic Algorithm.

Chenyang Bu, Fei Liu, Zhiyong Cao, Lei Li, Yuhong Zhang, Xuegang Hu, Wenjian Luo

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Knowledge Graph for China's Genealogy¹1.A shorter version of this paper won the Best Paper Award at IEEE ICKG 2020 (the 11th IEEE International Conference on Knowledge Graph, ickg 2020.bigke.org).

Xindong Wu, Tingting Jiang, Yi Zhu, Chenyang Bu

IEEE Trans. Knowl. Data Eng., 2023

HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets.

Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng

Data Intell., 2023

Dynamic Tracking with Fuzzy Rules for Evolutionary Dynamic Constrained Optimization.

Chenyang Bu, Yuxin Liu, Lizhong Zhang, Tao Zhu, Wenjian Luo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Discovering Reliable Information Extraction Patterns with Pre-Trained Model for Text with Writing Style.

Chenyang Bu, Jiacheng Liu, Jiaxuan Liu, Shengwei Ji, Hongbin Yang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Non-revisiting Stochastic Search for Automatic Graph Learning.

Chenyang Bu, Hezhen Lu

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Meta Multi-agent Exercise Recommendation: A Game Application Perspective.

Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multivariate Time Series Classification via Hierarchical Graph Embedding.

Wenhao Niu, Xingrui Zhuo, Gongqing Wu, Junwei Lv, Zan Zhang, Chenyang Bu

Proceedings of the International Joint Conference on Neural Networks, 2023

Semantic-Reconstructed Graph Transformer Network for Event Detection.

Zhuochun Miao, Xingrui Zhuo, Gongqing Wu, Chenyang Bu

Proceedings of the International Joint Conference on Neural Networks, 2023

IKGN: Intention-aware Knowledge Graph Network for POI Recommendation.

Xiaoyu Zhu, Chenyang Bu, Bingbing Dong, Shengwei Ji, Yi He, Xindong Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

Probabilistic model with evolutionary optimization for cognitive diagnosis.

Chenyang Bu, Zhiyong Cao, Chenlong He, Yuhong Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Cross-Knowledge Graph Relation Completion for Non-isomorphic Cross-lingual Entity Alignment.

Yuhong Zhang, Dan Lu, Chenyang Bu, Kui Yu, Xindong Wu

Proceedings of the 29th International DMS Conference on Visualization and Visual Languages, 2023

User Interaction-Aware Knowledge Graphs for Recommender Systems.

Ru Wang, Bingbing Dong, Tianyang Li, Meng Wu, Chenyang Bu, Xindong Wu

Proceedings of the Database and Expert Systems Applications, 2023

2022

Fuzzy Bayesian Knowledge Tracing.

Fei Liu, Xuegang Hu, Chenyang Bu, Kui Yu

IEEE Trans. Fuzzy Syst., 2022

Interval-Valued Intuitionistic Fuzzy Decision With Graph Pattern in Big Graph.

Lei Li, Lan Jiang, Chenyang Bu, Yi Zhu, Xindong Wu

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Combining embedding-based and symbol-based methods for entity alignment.

Tingting Jiang, Chenyang Bu, Yi Zhu, Xindong Wu

Pattern Recognit., 2022

Coarse-to-Fine Entity Alignment for Chinese Heterogeneous Encyclopedia Knowledge Base.

Meng Wu, Tingting Jiang, Chenyang Bu, Bin Zhu

Future Internet, 2022

Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application.

Shuai Sun, Xuegang Hu, Chenyang Bu, Fei Liu, Yuhong Zhang, Wenjian Luo

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

Evolutionary Algorithms with Heuristic Gradient-based Repair for Constrained Optimization.

Jiacheng Du, Chenyang Bu, Yuxin Liu, Fei Liu, Wenjian Luo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing.

Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

A Zero-shot Learning Method with a Multi-Modal Knowledge Graph.

Yuhong Zhang, Haitao Shu, Chenyang Bu, Xuegang Hu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing.

Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Hypernode: Entity Fusion for Data Traceability and Link Prediction.

Bingbing Dong, Zan Zhang, Jiao Li, Yi Zhu, Chenyang Bu, Xindong Wu

Proceedings of the IEEE International Conference on Data Mining, 2022

Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion.

Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu

Proceedings of the IEEE International Conference on Data Mining, 2022

Deep Semantic-Enhanced Event Detection via Symmetric Graph Convolutional Network.

Chenchen Sun, Xingrui Zhuo, Zhenya Lu, Chenyang Bu, Gongqing Wu

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

2021

Local Graph Edge Partitioning.

Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu

ACM Trans. Intell. Syst. Technol., 2021

A coarse-to-fine collective entity linking method for heterogeneous information networks.

Jiao Li, Chenyang Bu, Pei-Pei Li, Xindong Wu

Knowl. Based Syst., 2021

Low-Quality Error Detection for Noisy Knowledge Graphs.

Chenyang Bu, Xingchen Yu, Yan Hong, Tingting Jiang

J. Database Manag., 2021

A Weak Supervision Approach with Adversarial Training for Named Entity Recognition.

Jianxuan Shao, Chenyang Bu, Shengwei Ji, Xindong Wu

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

High-Quality Noise Detection for Knowledge Graph Embedding with Rule-Based Triple Confidence.

Yan Hong, Chenyang Bu, Xindong Wu

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study.

Chenyang Bu, Yi Lu, Fei Liu

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020

Multi-fuzzy-objective graph pattern matching in big graph environments with reliability, trust and social relationship.

Lei Li, Fang Zhang, Zan Zhang, Peipei Li, Chenyang Bu

World Wide Web, 2020

Species and Memory Enhanced Differential Evolution for Optimal Power Flow Under Double-Sided Uncertainties.

Chenyang Bu, Wenjian Luo, Tao Zhu, Ruikang Yi, Bin Yang

IEEE Trans. Sustain. Comput., 2020

Adapting the TopLeaders algorithm for dynamic social networks.

Wenhao Gao, Wenjian Luo, Chenyang Bu

J. Supercomput., 2020

Community Detection by Fuzzy Relations.

Wenjian Luo, Zhenglong Yan, Chenyang Bu, Daofu Zhang

IEEE Trans. Emerg. Top. Comput., 2020

Making use of observable parameters in evolutionary dynamic optimization.

Tao Zhu, Wenjian Luo, Chenyang Bu, Huansheng Ning

Inf. Sci., 2020

Knowledge Graph for China's Genealogy.

Xindong Wu, Tingting Jiang, Yi Zhu, Chenyang Bu

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Rule-enhanced Noisy Knowledge Graph Embedding via Low-quality Error Detection.

Yan Hong, Chenyang Bu, Tingting Jiang

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment.

Tingting Jiang, Chenyang Bu, Yi Zhu, Xindong Wu

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Local Graph Edge Partitioning with a Two-Stage Heuristic Method.

Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

Identifying Species for Particle Swarm Optimization under Dynamic Environments.

Wenjian Luo, Juan Sun, Chenyang Bu, Ruikang Yi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Imbalanced Networked Multi-label Classification with Active Learning.

Ruilong Zhang, Lei Li, Yuhong Zhang, Chenyang Bu

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Confidence-Aware Negative Sampling Method for Noisy Knowledge Graph Embedding.

Yingchun Shan, Chenyang Bu, Xiaojian Liu, Shengwei Ji, Lei Li

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Chinese Entity Relation Extraction Based on Syntactic Features.

Yishun Jiang, Gongqing Wu, Chenyang Bu, Xuegang Hu

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

Continuous Dynamic Constrained Optimization With Ensemble of Locating and Tracking Feasible Regions Strategies.

Chenyang Bu, Wenjian Luo, Lihua Yue

IEEE Trans. Evol. Comput., 2017

Solving online dynamic time-linkage problems under unreliable prediction.

Chenyang Bu, Wenjian Luo, Tao Zhu, Lihua Yue

Appl. Soft Comput., 2017

A hybrid genetic algorithm for vehicle routing problems with dynamic requests.

Ruikang Yi, Wenjian Luo, Chenyang Bu, Xin Lin

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A Hybrid Particle Swarm Optimization for High-Dimensional Dynamic Optimization.

Wenjian Luo, Bin Yang, Chenyang Bu, Xin Lin

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure.

Li Ni, Wenjian Luo, Chenyang Bu, Yamin Hu

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

2016

Species-based Particle Swarm Optimizer enhanced by memory for dynamic optimization.

Wenjian Luo, Juan Sun, Chenyang Bu, Houjun Liang

Appl. Soft Comput., 2016

Clustering Evolutionary Data with an r-Dominance Based Multi-objective Evolutionary Algorithm.

Wenhao Gao, Wenjian Luo, Chenyang Bu, Li Ni, Daofu Zhang

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Evolutionary community discovery in dynamic networks based on leader nodes.

Wenhao Gao, Wenjian Luo, Chenyang Bu

Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

Clustering spatial data by the neighbors intersection and the density difference.

Zhenglong Yan, Wenjian Luo, Chenyang Bu, Li Ni

Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

2014

Differential evolution with a species-based repair strategy for constrained optimization.

Chenyang Bu, Wenjian Luo, Tao Zhu

Proceedings of the IEEE Congress on Evolutionary Computation, 2014