Supervisor of Master's Candidates
School/Department:计算机科学与技术系
Education Level:Postgraduate (Postdoctoral)
Gender:Male
Degree:Doctoral degree
Status:Employed
Alma Mater:中国科学技术大学
Profile
Personal Profile:
During my Ph.D., I conducted research on algorithms and applications of dynamic optimization. My current research interests focus on knowledge-driven intelligent optimization, with project directions centered on intelligent question-answering systems combining large language models and knowledge graphs.
In terms of academic service, I serve as:
Vice Chair of the Large Model Committee, Anhui Artificial Intelligence Society
Youth Editorial Board Member of the journal Artificial Intelligence in Health
Web Chair of the IEEE International Conference on Knowledge Graph (IEEE ICKG, 2021–2023)
Program Committee Member for conferences including KDD, AAAI, MM, ECAI, COLING, PRICAI, and ICONIP
Reviewer for multiple prestigious international and domestic journals (including 10+ IEEE/ACM Transactions journals and the authoritative Chinese journal Journal of Computer Science and Technology)
I was selected for the 2024 Youth Talent Support Program of Anhui Association for Science and Technology. I received the ICKG 2021 Service Award, and student papers I co-advised won the Best Paper Award at IEEE ICKG 2020 and the Best Student Paper Award at IEEE ICKG 2022.
As a project/principal investigator, I have led research initiatives including:
National Natural Science Foundation of China (Youth Program)
China Postdoctoral Science Foundation (First-Class Funding)
Hefei’s "Open Competition for Key Technologies" Project
Multiple collaborative projects on knowledge graph construction
As a key technical contributor, I have participated in:
National Key R&D Program of China
Key R&D Projects of Anhui Province
News:
[Artificial Intelligence in Health] Special Issue:"Uncertain knowledge in cardiopulmonary medicine: discovery, applications, and analytical frameworks". Co-organized with Dr. He Ren (Shanghai University of Medicine & Health Sciences), Prof. Bin Zhu (National University of Defense Technology), and Prof. Weiping Ding (Nantong University).
[Mathematics] (SCI, IF: 2.4) Special Issue: "Data Mining and Machine Learning in the Era of Big Knowledge and Large Models". Co-organized with Prof. Jing Zhang (Southeast University).
AAAS-affiliated media EurekAlert! featured our work in a news release: "NEWS RELEASE 9-MAY-2023 – New framework bootstraps processing of knowledge graphs for AI applications: Unsupervised entity alignment algorithm saves human labor" URL: https://www.eurekalert.org/news-releases/988659
Recent Publications (* indicates that I am a corresponding author):
Chenyang Bu*, Guojie Chang, Zihao Chen, CunYuan Dang (本科生), Zhize Wu, Yi He, Xindong Wu. Query-Driven Multimodal GraphRAG: Dynamic Local Knowledge Graph Construction for Online Reasoning. Findings of the Association for Computational Linguistics, ACL 2025.
Manzong Huang, Chenyang Bu*, Yi He, Xindong Wu. How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback. Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI, CCF A). 已录用. 2025.
吴信东，黄满宗，卜晨阳. BEKO：大语言模型与知识图谱的双向增强. 计算机学报, 48(7): 1572-1588, 2025.
Chenyang Bu*; Yuxin Liu; Manzong Huang; Jianxuan Shao; Shengwei Ji; Wenjian Luo; Xindong Wu. Layer-wise Learning Rate Optimization for Task-Dependent Fine-Tuning of Pre-trained Models: An Evolutionary Approach. ACM Transactions on Evolutionary Learning and Optimization (TELO). 4(4): 22:1-22:23 (2024)
Chenyang Bu*, Yunpeng Hong, Shiji Zang, Guojie Chang, Xindong Wu. Automatic Fusion for Multimodal Entity Alignment: a New Perspective from Automatic Architecture Search. Proceedings of IEEE International Conference on Multimedia and Expo (ICME, CCF B). 2024: 1-6, IEEE.
Chenyang Bu; Fei Liu; Zhiyong Cao; Lei Li; Yuhong Zhang; Xuegang Hu; Wenjian Luo. Cognitive diagnostic model made more practical by genetic algorithm. IEEE Transactions on Emerging Topics in Computational Intelligence (CAAI B), 2023, 7(2): 447-461.
Chenyang Bu*; Jiawei Zhang; Xingchen Yu; Le Wu; Xindong Wu. Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. IEEE International Conference on Data Mining (ICDM, CORE A*, CCF B). IEEE, 2022: 11-20.
Chenyang Bu*; Yu Xingchen; Hong Yan; Jiang Tingting, Low-Quality Error Detection for Noisy Knowledge Graphs, Journal of Database Management (JDM, SCI), 2021, 32(4): 48-64.
Chenyang Bu; Wenjian Luo; Tao Zhu; Ruikang Yi; Bin Yang. Species and memory enhanced differential evolution for optimal power flow under double-sided uncertainties. IEEE Transactions on Sustainable Computing, 2020, 5(3): 403-415.
Chenyang Bu, Wenjian Luo, Lihua Yue. Continuous dynamic constrained optimization with ensemble of locating and tracking feasible regions strategies. IEEE Transactions on Evolutionary Computation. 21 (1), 14-33.
Chenyang Bu, Wenjian Luo, Tao Zhu, Lihua Yue. Solving online dynamic time-linkage problems under unreliable prediction. Applied Soft Computing, 2017, 56: 702-716.
Fei Liu; Chenyang Bu*; Haotian Zhang; Le Wu; Kui Yu; Xuegang Hu, FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning, ACM Transactions on Information Systems, 42(5): 139:1-139:26 (2024)
Fei Liu; Xuegang Hu; Chenyang Bu*; Kui Yu. Fuzzy Bayesian knowledge tracing[J]. In: IEEE Transactions on Fuzzy Systems, 2021, 30(7): 2412-2425.
Fei Liu; Xuegang Hu; Shuochen Liu; Chenyang Bu; Le Wu. Meta multi-agent exercise recommendation: A game application perspective[C]. In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023: 1441-1452.
Shengwei Ji; Chenyang Bu; Lei Li; Xindong Wu. Local Graph Edge Partitioning with a Two-stage Heuristic Method[C]. In: 2021 IEEE 39th International Conference on Distributed Computing Systems, IEEE, 2019: 228-237.
Shengwei Ji; Chenyang Bu; Lei Li; Xindong Wu. LocalTGEP: A Lightweight Edge Partitioner for Time-Varying Graph[J]. In: IEEE Transactions on Emerging Topics in Computing, 12(2): 455-466, 2024.
Shengwei Ji; Chenyang Bu; Lei Li; Xindong Wu. Local graph edge partitioning with a two-stage heuristic method[J]. In: ACM Transactions on Intelligent Systems and Technology 12 (5), 1-25, 2021.
Lei Li; Pan Liu; Chenyang Bu*; Zan Zhang; Xindong Wu. Fuzzy Ranking-Based Preference Completion via Graph Pattern Matching and Rematching[J]. In: IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2024.3359096, 2024.
Lei Li, Lan Jiang, Chenyang Bu*, Yi Zhu, Xindong Wu. Interval-Valued Intuitionistic Fuzzy Decision with Graph Pattern in Big Graph[J]. In: IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, 6(5): 1057-1067.
Bin Zhu, Meng Wu, Yunpeng Hong, Yi Chen, Bo Xie, Fei Liu, Chenyang Bu*, Weiping Ding. MMIEA: Multi-modal Interaction Entity Alignment model for knowledge graphs[J]. In: Information Fusion, 2023, 100: 101935.
Jiao Li, Chenyang Bu, Jiacheng Liu, Peipei Li, Xindong Wu. Collective Entity Linking based on Evolutionary Algorithms: A practical application. Information Sciences, 2025, 719: 122491.
Jiao Li; Chenyang Bu; Li, Peipei; Wu, Xindong. A Coarse-to-fine Collective Entity Linking Method for Heterogeneous Information Networks[J]. In: Knowledge-Based Systems, 2021, 228(1): 1-10.
Tingting Jiang, Chenyang Bu, Yi Zhu, Xindong Wu. Combining embedding-based and symbol-based methods for entity alignment[J]. In: Pattern Recognition, 2022, 124: 108433.
Xindong Wu, Tingting Jiang, Yi Zhu, Chenyang Bu. Knowledge Graph for China’s Genealogy[J]. In: IEEE Transactions on Knowledge and Data Engineering, 35 (1), 634-646.
Tao Zhu, Wenjian Luo, Chenyang Bu, Lihua Yue. Accelerate population-based stochastic search algorithms with memory for optima tracking on dynamic power systems[J]. In: IEEE Transactions on Power Systems, 2016, 31(1): 268-277.
Participated Projects:
As a key technical member, I participated in several team projects, including:
(1) Intelligent Knowledge Graph Research and Application, 2023.01-present, responsible for domain asset construction, with the first version of tools deployed at ThinkTank Technology. Project introduction: https://lab.zhonghuapu.com/dongtai15
(2) Technology leader of Huapu System, 2017.07 – 2020.12, Website: https://www.zhonghuapu.com/
(3) Technology leader of HAO Marketing System, 2021.01 – 2022.12, Website: https://haozs.zhonghuapu.com/
(4) Technology leader of Zhihai System, 2023.01-present, Website: https://ko.zhonghuapu.com/
(5) National Key R&D Program of China "Basic Theory and Application Research of Big Data Knowledge Engineering."
Personal Links:
ResearchGate Profile: https://www.researchgate.net/profile/Chenyang-Bu
ORCID Profile: https://orcid.org/0000-0001-8203-0956
Google Scholar Profile: https://scholar.google.com/citations?user=jyojIOgAAAAJ&hl=zh-CN&oi=ao
Lab Homepage: https://lab.zhonghuapu.com/