合肥工业大学主页平台管理系统卜晨阳--中文主页--首页

个人简介

博士期间曾从事动态优化的算法和应用研究，目前的研究兴趣为知识驱动的智能优化；项目方向为结合大模型和知识图谱的智能问答。在学术兼职方面，担任安徽省人工智能学会大模型专委会副主任委员，期刊Artificial Intelligence in Health的青年编委，IEEE国际知识图谱会议(IEEE ICKG) Web主席（2021-2023），KDD、AAAI、MM、ECAI、COLING、PRICAI、ICONIP等会议的程序委员会委员，以及多个国内外权威期刊的审稿人（包括10+本IEEE/ACM Transactions期刊、国内的权威学报《计算机学报》等）。入选2024年安徽省科协青年科技人才托举计划，曾获得ICKG 2021 Service Award，参与指导的学生论文获得了IEEE国际知识图谱会议ICKG 2020最佳论文奖(Best Paper Award)，ICKG 2022最佳学生论文奖(Best Student Paper Award)等。作为项目/课题负责人承担了国家自然科学基金青年基金、中国博士后科学基金面上资助一等资助、合肥市接榜挂帅以及多项知识图谱构建方向的合作项目；作为技术骨干参与了国家重点研发计划、安徽省科技攻关重点项目等。

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).
欢迎参加昇腾AI创新大赛2024安徽赛区暨第一届安徽省生成式人工智能竞赛，参赛同学有机会申请免费的算力（包括讯飞开放平台的免费代金券、以及由合肥市大数据资产运营有限公司提供的带有GPU的算力时长；通过预赛以及竞赛获奖的同学将获得额外的算力作为奖励）！竞赛技术委员会每年会组织多次大模型方面的培训。竞赛QQ群：784592507
AAAS旗下媒体“EurekAlert!”对我们的工作进行了新闻报道：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

近期论文（*表示本人为通讯或者共同通讯作者）

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. 本文提出了一个查询驱动的多模态 GraphRAG 框架 ("we propose a Query-Driven Multimodal GraphRAG framework that dynamically constructs local knowledge graphs tailored to query semantics"). 据我们所知，本文是比较早期关注多模态GraphRAG的工作（该论文于2025年2月16日投稿至ACL会议，于2025年5月16日被ACL Findings录用）. 代码链接：https://github.com/DMiC-Lab-HFUT/ Query-Driven-Multimodal-GraphRAG
Manzong Huang (学生), 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. 相关报道：【学术领航】知识图谱构建过程中信息丢失阻碍大模型精准回答？我院师生IJCAI 2025论文提出TCR-QF创新解法.
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（CCF A类中文期刊）, 48(7): 1572-1588, 2025. 相关报道：合肥工业大学吴信东教授| BEKO：大语言模型与知识图谱的双向增强.
Chenyang Bu^*; Longhui Li; Haotian Zhang; Shuai Sun; Lei Li; Wenjian Luo. SA-MBKT: Surrogate Model-assisted Multi-skills Bayesian Knowledge Tracing. ACM Transactions on Evolutionary Learning and Optimization (TELO). Accept.
Fei Liu (学生); 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 (ACM TOIS, CCF A), 42(5): 139:1-139:26, 2024. 相关报道：高性能平台助力计算机学院发表高水平论文-信息化建设与管理办公室.
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)
Shengwei Ji (学生); Chenyang Bu; Lei Li; Xindong Wu. LocalTGEP: A Lightweight Edge Partitioner for Time-Varying Graph[J]. In: IEEE Transactions on Emerging Topics in Computing (TETC), 12(2): 455-466, 2024.
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 (TETCI), 2023, 7(2): 447-461.
Shengwei Ji (学生); 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 (TIST), 12 (5), 1-25, 2021.
Fei Liu (学生); Xuegang Hu; Chenyang Bu^*; Kui Yu. Fuzzy Bayesian knowledge tracing[J]. In: IEEE Transactions on Fuzzy Systems (CCF B, 中科院 SCI 一区), 2021, 30(7): 2412-2425.
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 (TSUSC), 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 (TEVC）. 21 (1), 14-33, 2017.
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.
Fei Liu (学生); Xuegang Hu; Shuochen Liu (本科生); 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 (KDD, CCF A 类会议), 2023: 1441-1452. 相关报道：合肥人工智能计算中心助力教育领域数据挖掘科研成果发布
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). 2024: 1-6, IEEE.
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, 长文录用率9.77%). IEEE, 2022: 11-20.
Chenyang Bu, Wenjian Luo, Tao Zhu, Lihua Yue. Solving online dynamic time-linkage problems under unreliable prediction. Applied Soft Computing (CAAI B类, 中科院SCI一区), 2017, 56: 702-716.
Shengwei Ji (学生); 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 (ICDCS), IEEE, 2019: 228-237.
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 (TETCI), 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 (TETCI), 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 (CAAI A 类), 2023, 100: 101935.
Jiao Li (学生), 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 (学生); Chenyang Bu; Li, Peipei; Wu, Xindong. A Coarse-to-fine Collective Entity Linking Method for Heterogeneous Information Networks[J]. In: Knowledge-Based Systems (KBS), 2021, 228(1): 1-10.
Tingting Jiang (学生), Chenyang Bu, Yi Zhu, Xindong Wu. Combining embedding-based and symbol-based methods for entity alignment[J]. In: Pattern Recognition (PR), 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 (TKDE, CCF A 类期刊), 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.