△卜晨阳
发布时间:2020-11-27 浏览:2317

个人信息


姓     名

卜晨阳

性     别

出生年月


最终学位

博士

毕业学校

中国科学技术大学



从事专业


职务


所属院系

计算机与信息学院



所在部门

软件所

职称

讲师、硕士生导师

 联系方式

办公电话


E-mail

chenyangbu@hfut.edu.cn

通讯地址

安徽省合肥市丹霞路485号合肥工业大学计算机与信息学院

邮编

230601

 简历


 研究方向

研究兴趣:大数据知识工程;具体研究领域:演化计算及其在知识图谱、教育数据挖掘、以及电力系统中的应用。


承担的项目:

国家自然科学基金青年基金,“面向动态数据的翻译模型更新方法研究”(2019.01-2021.12),主持

青年教师科研创新启动专项A项目,“基于演化算法的灰盒动态优化问题研究”(2020.5-2022.5),主持

中国博士后科学基金面上资助一等资助,“面向动态数据的在线知识表示学习模型研究”(2018-2019),主持,已结题

合肥工业大学博士后科研项目,“基于演化算法的动态优化方法及应用研究”(2018-2019),主持,已结题



团队网址:http://bigke.org/

个人主页:https://www.researchgate.net/profile/Chenyang_Bu

 教学工作

承担的课程:人工智能原理(宣城校区,与李磊老师共同承担)、人工智能基础(宣城校区,与李磊老师共同承担)、算法设计与分析(合肥校区,与胡学钢老师共同承担)


班主任工作:

合肥工业大学2020年度优秀班主任(全校10人)

18计算机2班连续两年获评校“优秀班级”


指导本科生大创项目:

省级大创项目2项,校级大创项目2项


指导学生竞赛:

全国高校计算机能力挑战赛三等奖1项;省级二等奖2项、三等奖1项;互联网+校级金奖2项


 获奖情况

X Wu, Tingting Jiang, Yi Zhu, Chenyang Bu. Knowledge Graph for China’s Genealogy, 2020 IEEE International Conference on Knowledge Graph (ICKG), ICKG’2020 Best Paper Award. 2020.

 主要论著

Selected papers (# indicates my students; * indicates that I am the corresponding author):


Chenyang Bu, Yi Lu, Fei Liu. Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study. Proceedings of the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI'2021, CCF C). Accept. (第二作者为工大18级本科生)

Yan Hong#, Chenyang Bu, X Wu. High-quality Noise Detection for Knowledge Graph Embedding with Rule-based Triple Confidence. Proceedings of the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI'2021, CCF C). Accept.

Jianxuan Shao#, Chenyang Bu, Shengwei Ji, X Wu. A Weak Supervision Approach with Adversarial Training for Named Entity Recognition. Proceedings of the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI'2021, CCF C). Accept.

Shengwei Ji#, Chenyang Bu, Lei Li, X Wu. Local Graph Edge Partitioning. ACM Transactions on Intelligent Systems and Technology (ACM TIST). Accept.

Jiao Li#, Chenyang Bu, Peipei Li, X Wu. A Coarse-to-Fine Collective Entity Linking Method for Heterogeneous Information Networks. Knowledge-Based Systems (KBS). Accept.

X Wu, Tingting Jiang, Yi Zhu, Chenyang Bu. Knowledge Graph for China’s Genealogy. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). Accept.

Tingting Jiang#, Chenyang Bu, Yi Zhu, X Wu. Combining Embedding-based and Symbol-based Methods for Entity Alignment. Pattern Recognition (PR). major revision

Fei Liu#, Xuegang Hu*, Chenyang Bu*, Kui Yu. Fuzzy Bayesian Knowledge Tracing. IEEE Transactions on Fuzzy Systems (IEEE TFS). Accept.

胡学钢,刘菲,卜晨阳*。教育大数据中认知跟踪模型研究进展,计算机研究与发展(CCF A类中文期刊), vol. 57, no. 12, pp. 2523-2546, 2020.

Chenyang Bu, Xingchen Yu, Yan Hong, Tingting Jiang. Low-quality Error Detection for Noisy Knowledge Graphs. Journal of Database Management (JDM). Accept.

Chenyang Bu, Wenjian Luo, Tao Zhu, Ruikang Yi, and Bin Yang. Species and Memory Enhanced Differential Evolution for Optimal Power Flow Under Double-Sided Uncertainties, IEEE Transactions on Sustainable Computing. Vol. 5, no. 3, pp. 403 – 415, 2020.

Tingting Jiang#, Chenyang Bu*, Yi Zhu, X Wu. Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment. Pacific Rim International Conference on Artificial Intelligence (PRICAI, CCF C), Springer, Cham, pp. 162-175, 2019.

Shengwei Ji#, Chenyang Bu, Lei Li, X Wu. Local Graph Edge Partitioning with a Two-Stage Heuristic Method. The 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019, CORE A, QUALIS A1, CCF B). IEEE, 2019: 228-237. 

Chenyang Bu, Wenjian Luo, and Lihua Yue. Continuous Dynamic Constrained Optimization with Ensemble of Locating and Tracking Feasible Regions Strategies. IEEE Transactions on Evolutionary Computation (CAA  A类), vol. 21, no. 1, pp. 14-33, 2017.

Chenyang Bu, Wenjian Luo, Tao Zhu, and Lihua Yue. Solving Online Dynamic Time-linkage Problems under Unreliable Prediction, Applied Soft Computing (CAA B类), vol. 56, pp. 702-716, 2017.