Differential evolution with a species-based repair strategy for constrained optimization. - Chenyang Bu; Wenjian Luo; Tao Zhu 001 (IEEE Congress on Evolutionary Computation, 2014)

Clustering spatial data by the neighbors intersection and the density difference. - Zhenglong Yan; Wenjian Luo; Chenyang Bu; Li Ni (BDCAT, 2016)

Evolutionary community discovery in dynamic networks based on leader nodes. - Wenhao Gao 003; Wenjian Luo; Chenyang Bu (BigComp, 2016)

Clustering Evolutionary Data with an r-Dominance Based Multi-objective Evolutionary Algorithm. - Wenhao Gao 003; Wenjian Luo; Chenyang Bu; Li Ni; Daofu Zhang (IDEAL, 2016)

Species-based Particle Swarm Optimizer enhanced by memory for dynamic optimization. - Wenjian Luo; Juan Sun; Chenyang Bu; Houjun Liang (Appl. Soft Comput., 2016)

Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure. - Li Ni; Wenjian Luo; Chenyang Bu; Yamin Hu (PAKDD (Workshops), 2017)

A Hybrid Particle Swarm Optimization for High-Dimensional Dynamic Optimization. - Wenjian Luo; Bin Yang; Chenyang Bu; Xin Lin 004 (SEAL, 2017)

A hybrid genetic algorithm for vehicle routing problems with dynamic requests. - Ruikang Yi; Wenjian Luo; Chenyang Bu; Xin Lin 004 (SSCI, 2017)

Solving online dynamic time-linkage problems under unreliable prediction. - Chenyang Bu; Wenjian Luo; Tao Zhu 001; Lihua Yue (Appl. Soft Comput., 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)

Chinese Entity Relation Extraction Based on Syntactic Features. - Yishun Jiang; Gongqing Wu; Chenyang Bu; Xuegang Hu (ICBK, 2018)

Confidence-Aware Negative Sampling Method for Noisy Knowledge Graph Embedding. - Yingchun Shan; Chenyang Bu; Xiaojian Liu; Shengwei Ji; Lei Li 002 (ICBK, 2018)

Imbalanced Networked Multi-label Classification with Active Learning. - Ruilong Zhang 001; Lei Li 002; Yuhong Zhang 002; Chenyang Bu (ICBK, 2018)

Identifying Species for Particle Swarm Optimization under Dynamic Environments. - Wenjian Luo; Juan Sun; Chenyang Bu; Ruikang Yi (SSCI, 2018)

Local Graph Edge Partitioning with a Two-Stage Heuristic Method. - Shengwei Ji; Chenyang Bu; Lei Li 002; Xindong Wu 001 (ICDCS, 2019)

Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment. - Tingting Jiang 004; Chenyang Bu; Yi Zhu 006; Xindong Wu 001 (PRICAI (1), 2019)

Rule-enhanced Noisy Knowledge Graph Embedding via Low-quality Error Detection. - Yan Hong; Chenyang Bu; Tingting Jiang 004 (ICKG, 2020)

Knowledge Graph for China's Genealogy. - Xindong Wu 001; Tingting Jiang 004; Yi Zhu 006; Chenyang Bu (ICKG, 2020)

Making use of observable parameters in evolutionary dynamic optimization. - Tao Zhu 001; Wenjian Luo; Chenyang Bu; Huansheng Ning (Inf. Sci., 2020)

Community Detection by Fuzzy Relations. - Wenjian Luo; Zhenglong Yan; Chenyang Bu; Daofu Zhang (IEEE Trans. Emerg. Top. Comput., 2020)

Adapting the TopLeaders algorithm for dynamic social networks. - Wenhao Gao 003; Wenjian Luo; Chenyang Bu (J. Supercomput., 2020)

Species and Memory Enhanced Differential Evolution for Optimal Power Flow Under Double-Sided Uncertainties. - Chenyang Bu; Wenjian Luo; Tao Zhu 001; Ruikang Yi; Bin Yang (IEEE Trans. Sustain. Comput., 2020)

Multi-fuzzy-objective graph pattern matching in big graph environments with reliability, trust and social relationship. - Lei Li 002; Fang Zhang; Zan Zhang 002; Peipei Li 001; Chenyang Bu (World Wide Web, 2020)

Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study. - Chenyang Bu; Yi Lu; Fei Liu 038 (PRICAI (1), 2021)

High-Quality Noise Detection for Knowledge Graph Embedding with Rule-Based Triple Confidence. - Yan Hong; Chenyang Bu; Xindong Wu 001 (PRICAI (1), 2021)

A Weak Supervision Approach with Adversarial Training for Named Entity Recognition. - Jianxuan Shao; Chenyang Bu; Shengwei Ji; Xindong Wu 001 (PRICAI (2), 2021)

Low-Quality Error Detection for Noisy Knowledge Graphs. - Chenyang Bu; Xingchen Yu; Yan Hong; Tingting Jiang 004 (J. Database Manag., 2021)

A coarse-to-fine collective entity linking method for heterogeneous information networks. - Jiao Li; Chenyang Bu; Pei-Pei Li 001; Xindong Wu 001 (Knowl. Based Syst., 2021)

Local Graph Edge Partitioning. - Shengwei Ji; Chenyang Bu; Lei Li 002; Xindong Wu 001 (ACM Trans. Intell. Syst. Technol., 2021)

Deep Semantic-Enhanced Event Detection via Symmetric Graph Convolutional Network. - Chenchen Sun; Xingrui Zhuo; Zhenya Lu; Chenyang Bu; Gongqing Wu (ICKG, 2022)

Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. - Chenyang Bu; Jiawei Zhang; Xingchen Yu; Le Wu; Xindong Wu 001 (ICDM, 2022)

Hypernode: Entity Fusion for Data Traceability and Link Prediction. - Bingbing Dong; Zan Zhang 002; Jiao Li; Yi Zhu 006; Chenyang Bu; Xindong Wu 001 (ICDM, 2022)

DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing. - Rui Luo; Fei Liu 038; Wenhao Liang; Yuhong Zhang 002; Chenyang Bu; Xuegang Hu (ICONIP (2), 2022)

A Zero-shot Learning Method with a Multi-Modal Knowledge Graph. - Yuhong Zhang 002; Haitao Shu; Chenyang Bu; Xuegang Hu (ICTAI, 2022)

APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. - Haotian Zhang; Chenyang Bu; Fei Liu 038; Shuochen Liu; Yuhong Zhang 002; Xuegang Hu (PRICAI (1), 2022)

Evolutionary Algorithms with Heuristic Gradient-based Repair for Constrained Optimization. - Jiacheng Du; Chenyang Bu; Yuxin Liu; Fei Liu 038; Wenjian Luo (SMC, 2022)

Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application. - Shuai Sun; Xuegang Hu; Chenyang Bu; Fei Liu 038; Yuhong Zhang 002; Wenjian Luo (ICSI (1), 2022)

Coarse-to-Fine Entity Alignment for Chinese Heterogeneous Encyclopedia Knowledge Base. - Meng Wu 004; Tingting Jiang 004; Chenyang Bu; Bin Zhu (Future Internet, 2022)

Combining embedding-based and symbol-based methods for entity alignment. - Tingting Jiang 004; Chenyang Bu; Yi Zhu 006; Xindong Wu 001 (Pattern Recognit., 2022)

Interval-Valued Intuitionistic Fuzzy Decision With Graph Pattern in Big Graph. - Lei Li 002; Lan Jiang; Chenyang Bu; Yi Zhu 006; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Fuzzy Bayesian Knowledge Tracing. - Fei Liu 038; Xuegang Hu; Chenyang Bu; Kui Yu (IEEE Trans. Fuzzy Syst., 2022)

User Interaction-Aware Knowledge Graphs for Recommender Systems. - Ru Wang; Bingbing Dong; Tianyang Li; Meng Wu 004; Chenyang Bu; Xindong Wu 001 (DEXA (2), 2023)

Cross-Knowledge Graph Relation Completion for Non-isomorphic Cross-lingual Entity Alignment. - Yuhong Zhang 002; Dan Lu; Chenyang Bu; Kui Yu; Xindong Wu 001 (DMSVIVA, 2023)

Probabilistic model with evolutionary optimization for cognitive diagnosis. - Chenyang Bu; Zhiyong Cao; Chenlong He; Yuhong Zhang 002 (GECCO, 2023)

IKGN: Intention-aware Knowledge Graph Network for POI Recommendation. - Xiaoyu Zhu; Chenyang Bu; Bingbing Dong; Shengwei Ji; Yi He 007; Xindong Wu 001 (ICDM, 2023)

Semantic-Reconstructed Graph Transformer Network for Event Detection. - Zhuochun Miao; Xingrui Zhuo; Gongqing Wu; Chenyang Bu (IJCNN, 2023)

Multivariate Time Series Classification via Hierarchical Graph Embedding. - Wenhao Niu; Xingrui Zhuo; Gongqing Wu; Junwei Lv; Zan Zhang 002; Chenyang Bu (IJCNN, 2023)

Meta Multi-agent Exercise Recommendation: A Game Application Perspective. - Fei Liu 038; Xuegang Hu; Shuochen Liu; Chenyang Bu; Le Wu (KDD, 2023)

Non-revisiting Stochastic Search for Automatic Graph Learning. - Chenyang Bu; Hezhen Lu (PRICAI (2), 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 (SMC, 2023)

Dynamic Tracking with Fuzzy Rules for Evolutionary Dynamic Constrained Optimization. - Chenyang Bu; Yuxin Liu; Lizhong Zhang; Tao Zhu 001; Wenjian Luo (SMC, 2023)

HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets. - Xindong Wu 001; Hao Chen; Chenyang Bu; Shengwei Ji; Zan Zhang 002; Victor S. Sheng (Data Intell., 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 001; Tingting Jiang 004; Yi Zhu 006; Chenyang Bu (IEEE Trans. Knowl. Data Eng., 2023)

Cognitive Diagnostic Model Made More Practical by Genetic Algorithm. - Chenyang Bu; Fei Liu 038; Zhiyong Cao; Lei Li 002; Yuhong Zhang 002; Xuegang Hu; Wenjian Luo (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

MMIEA: Multi-modal Interaction Entity Alignment model for knowledge graphs. - Bin Zhu; Meng Wu 004; Yunpeng Hong; Yi Chen; Bo Xie; Fei Liu 038; Chenyang Bu; Weiping Ding 001 (Inf. Fusion, 2023)

Automatic Fusion for Multimodal Entity Alignment: A New Perspective from Automatic Architecture Search. - Chenyang Bu; Yunpeng Hong; Shiji Zang; Guojie Chang; Xindong Wu 001 (ICME, 2024)

Dynamic Parameter Estimation for Mixtures of Plackett-Luce Models. - Aling Liao; Zan Zhang 002; Chenyang Bu; Lei Li 002 (IIP (2), 2024)

Classification of Table Cells Based on LLM Prompts. - Mengjie Liu; Chenyang Bu; Shengxing Bai; Bingbing Dong; Xindong Wu 001 (SMC, 2024)

LocalTGEP: A Lightweight Edge Partitioner for Time-Varying Graph. - Shengwei Ji; Chenyang Bu; Lei Li 002; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput., 2024)

Fuzzy Ranking-Based Preference Completion via Graph Pattern Matching and Rematching. - Lei Li 002; Pan Liu; Chenyang Bu; Zan Zhang 002; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

High-degree penalty based global statistical network embedding for name disambiguation in anonymized graph. - Shengxing Bai; Chenyang Bu; Xindong Wu 001 (Concurr. Comput. Pract. Exp., 2024)

FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. - Fei Liu 038; Chenyang Bu; Haotian Zhang; Le Wu; Kui Yu; Xuegang Hu (ACM Trans. Inf. Syst., 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 001 (ACM Trans. Evol. Learn. Optim., 2024)

Query-Driven Multimodal GraphRAG: Dynamic Local Knowledge Graph Construction for Online Reasoning. - Chenyang Bu; Guojie Chang; Zihao Chen; CunYuan Dang; Zhize Wu; Yi He 007; Xindong Wu 001 (ACL (Findings), 2025)

AutoKT: Accelerating Knowledge Tracing Model Adaptation with Evolutionary Transfer Optimization. - Longhui Li; Xiaobo Zhang; Hezhen Lu; Jie Zhang; Chenyang Bu (CEC, 2025)

Disentangled Multi-view Graph Neural Network for multilingual knowledge graph completion. - Bingbing Dong; Chenyang Bu; Ye Wang 022; Yi Zhu 006; Xindong Wu 001 (Appl. Soft Comput., 2025)

A Plug-in for cognitive diagnosis method based on correlation representation under long-tailed distribution. - Yuhong Zhang 002; Tiancheng He; Shengyu Xu; Mian Wang; Chenyang Bu; Xuegang Hu (Expert Syst. Appl., 2025)

Collective Entity Linking based on Evolutionary Algorithms: A practical application. - Jiao Li; Chenyang Bu; Jiacheng Liu; Peipei Li 001; Xindong Wu 001 (Inf. Sci., 2025)

How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback. - Manzong Huang; Chenyang Bu; Yi He 007; Xindong Wu 001 (CoRR, 2025)

Simplified multi-view graph neural network for multilingual knowledge graph completion. - Bingbing Dong; Chenyang Bu; Yi Zhu 006; Shengwei Ji; Xindong Wu 001 (Frontiers Comput. Sci., 2025)