| 2026 | AAAI | Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG. | Manzong Huang, Chenyang Bu, Yi He, Xingrui Zhuo, Xindong Wu |
| 2026 | KDD | PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised Multimodal Entity Alignment. | Yunpeng Hong, Chenyang Bu, Jie Zhang, Yi He, Di Wu, Xindong Wu |
| 2026 | WWW | Dual-Branch Multi-Granularity Network with Structured Contrastive Ranking for Cross-Modal Retrieval. | Zihao Chen, Chenyang Bu, Shengwei Ji, Xindong Wu |
| 2025 | ACL | Query-Driven Multimodal GraphRAG: Dynamic Local Knowledge Graph Construction for Online Reasoning. | Chenyang Bu, Guojie Chang, Zihao Chen, CunYuan Dang, Zhize Wu, Yi He, Xindong Wu |
| 2025 | CEC | AutoKT: Accelerating Knowledge Tracing Model Adaptation with Evolutionary Transfer Optimization. | Longhui Li, Xiaobo Zhang, Hezhen Lu, Jie Zhang, Chenyang Bu |
| 2025 | CIKM | An Robust Entity Alignment Method based on Knowledge Distillation with Noisy Aligned Pairs. | Yuhong Zhang, Hangchi Song, Xiaolong Zhu, Chenyang Bu, Kui Yu |
| 2025 | IJCAI | How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback. | Manzong Huang, Chenyang Bu, Yi He, Xindong Wu |
| 2025 | PRICAI | Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients. | Jie Chen, Yunpeng Hong, Jiacheng Liu, Chenyang Bu |
| 2025 | SMC | Relation-Aware Retrieval Augmented Generation for Relation Extraction. | Lei Tian, Chenyang Bu, Manzong Huang, Xindong Wu |
| 2024 | SMC | Classification of Table Cells Based on LLM Prompts. | Mengjie Liu, Chenyang Bu, Shengxing Bai, Bingbing Dong, Xindong Wu |
| 2023 | DEXA | User Interaction-Aware Knowledge Graphs for Recommender Systems. | Ru Wang, Bingbing Dong, Tianyang Li, Meng Wu, Chenyang Bu, Xindong Wu |
| 2023 | GECCO | Probabilistic model with evolutionary optimization for cognitive diagnosis. | Chenyang Bu, Zhiyong Cao, Chenlong He, Yuhong Zhang |
| 2023 | ICDM | IKGN: Intention-aware Knowledge Graph Network for POI Recommendation. | Xiaoyu Zhu, Chenyang Bu, Bingbing Dong, Shengwei Ji, Yi He, Xindong Wu |
| 2023 | IJCNN | Semantic-Reconstructed Graph Transformer Network for Event Detection. | Zhuochun Miao, Xingrui Zhuo, Gongqing Wu, Chenyang Bu |
| 2023 | IJCNN | Multivariate Time Series Classification via Hierarchical Graph Embedding. | Wenhao Niu, Xingrui Zhuo, Gongqing Wu, Junwei Lv, Zan Zhang, Chenyang Bu |
| 2023 | KDD | Meta Multi-agent Exercise Recommendation: A Game Application Perspective. | Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu |
| 2023 | PRICAI | Non-revisiting Stochastic Search for Automatic Graph Learning. | Chenyang Bu, Hezhen Lu |
| 2023 | SMC | Discovering Reliable Information Extraction Patterns with Pre-Trained Model for Text with Writing Style. | Chenyang Bu, Jiacheng Liu, Jiaxuan Liu, Shengwei Ji, Hongbin Yang |
| 2023 | SMC | Dynamic Tracking with Fuzzy Rules for Evolutionary Dynamic Constrained Optimization. | Chenyang Bu, Yuxin Liu, Lizhong Zhang, Tao Zhu, Wenjian Luo |
| 2022 | ICDM | Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. | Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu |
| 2022 | ICDM | Hypernode: Entity Fusion for Data Traceability and Link Prediction. | Bingbing Dong, Zan Zhang, Jiao Li, Yi Zhu, Chenyang Bu, Xindong Wu |
| 2022 | ICONIP | DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing. | Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu |
| 2022 | ICTAI | A Zero-shot Learning Method with a Multi-Modal Knowledge Graph. | Yuhong Zhang, Haitao Shu, Chenyang Bu, Xuegang Hu |
| 2022 | PRICAI | APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. | Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu |
| 2022 | SMC | Evolutionary Algorithms with Heuristic Gradient-based Repair for Constrained Optimization. | Jiacheng Du, Chenyang Bu, Yuxin Liu, Fei Liu, Wenjian Luo |
| 2021 | PRICAI | Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study. | Chenyang Bu, Yi Lu, Fei Liu |
| 2021 | PRICAI | High-Quality Noise Detection for Knowledge Graph Embedding with Rule-Based Triple Confidence. | Yan Hong, Chenyang Bu, Xindong Wu |
| 2021 | PRICAI | A Weak Supervision Approach with Adversarial Training for Named Entity Recognition. | Jianxuan Shao, Chenyang Bu, Shengwei Ji, Xindong Wu |
| 2019 | ICDCS | Local Graph Edge Partitioning with a Two-Stage Heuristic Method. | Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu |
| 2019 | PRICAI | Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment. | Tingting Jiang, Chenyang Bu, Yi Zhu, Xindong Wu |
| 2017 | PAKDD | Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure. | Li Ni, Wenjian Luo, Chenyang Bu, Yamin Hu |
| 2016 | IDEAL | Clustering Evolutionary Data with an r-Dominance Based Multi-objective Evolutionary Algorithm. | Wenhao Gao, Wenjian Luo, Chenyang Bu, Li Ni, Daofu Zhang |
| 2014 | CEC | Differential evolution with a species-based repair strategy for constrained optimization. | Chenyang Bu, Wenjian Luo, Tao Zhu |