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), 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).
欢迎参加第二届安徽省生成式人工智能竞赛，本次竞赛设置以下两个赛道：基于智能体的法律问答作品赛，以及基于大模型的掼蛋比赛。安徽省人工智能学会大模型专委会会组织多次大模型方面的培训。竞赛QQ群：784592507。第一届竞赛的相关信息见：https://aaai.net.cn/detail/145
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（*标注通讯或者共同通讯作者）

Yunpeng Hong (学生), Chenyang Bu, Jie Zhang, Yi He, Di Wu, Xindong Wu. PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised Multimodal Entity Alignment. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD, CCF A). 已录用, 2025.
Manzong Huang (学生), Chenyang Bu^*, Yi He, Xingrui Zhuo, Xindong Wu^*. Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG. The Fortieth AAAI Conference on Artificial Intelligence (AAAI, CCF A). 已录用, 2025.
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, doi: https://doi.org/10.1145/3769674.
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.
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 (SIGKDD, 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.