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正高级

党德鹏

  时间:2015-04-13  浏览:

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  • 教授 博导

  • 邮箱:ddepeng@bnu.edu.cn

个人简介

2003年6月于华中科技大学计算机学院获工学博士学位;2005年6月于清华大学计算机系博士后流动站出站,获博士后证书;2005年7月入北京师范大学信息学院工作;2006年7月晋升副教授;2007年8月任系主任;2010年入选“教育部新世纪优秀人才支持计划”;2012年7月晋升教授。

目前担任中国计算机学会服务计算专业委员会委员、中国计算机学会数据库专业委员会委员、中国计算机学会YOCSEF委员、国家自然科学基金评审专家、北京市海淀区科学技术委员会科技项目评审专家、北京师范大学继续教育与教师培训学院网络教学指导委员会委员、中国计算机学会高级会员、清华大学博士后校友联谊会信息技术分会副秘书长。

主持北京师范大学首批本科大规模在线开放课程建设项目(数据库系统原理),出版教材《数据库应用、设计与实现(第二版)》(ISBN978-7-302-56006-7,北京: 清华大学出版社, 2021.3)。

研究方向:推荐技术、少标注自然语言理解技术、数据工程及其自动化(数据库应用、设计与实现;应用自动化、设计自动化、实现自动化)。主要科研项目包括:国家重点研发(多源异构公共文化资源数据标准化存储和云剧场构建)、国防项目(机器学习在服役期满航天器轨降飞行姿态与再入解体风险评估应用研究)、横向合作(材料科技文献文本挖掘)、教育部新世纪优秀人才支持计划(数据广播中的移动实时事务恢复处理)、国家自然科学基金(应急预案计算机辅助生成若干关键问题研究)、国家自然科学基金(基于替换的实时Web服务事务处理)、国家自然科学基金(无线移动实时数据广播中的高性能并发控制)、国家自然科学基金(实时数据广播中的并发控制)、国家科技支撑计划重大项目子课题(XXX应急平台数据库系统)、国家科技支撑计划重点项目子课题(XXX计算机网络XXX风险防范模式及应用)、中国博士后科学基金(海量数字资源移动服务关键问题研究)等。

先后在IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems, Information Science, Future Generation Computer Systems, Journal of Systems & Software, Intelligent Data Analysis, Physica A, 计算机学报、计算机研究与发展等国内外重要学术期刊和会议上发表学术论文60余篇,获批中国软件著作权登记6项。

主要论文列表

  • [1]S. Wang and Depeng Dang∗, "A Generative Answer Aggregation Model for Sentence-level Crowdsourcing Task," in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2022.3142821,(CCF A),SCI, 2022

  • [2]Weiren Wang,Xue Jiang,Shaohan Tian,Pei Liu,Depeng Dang,et al. Automated pipeline for superalloy data by text mining. npj Computational Materials 8,9(2022).https://doi.org/10.1038/s41524-021-00687-2.(Top;CiteScore: 11.00;Impact Factor:12.241;5-Year Impact Factor: 13.993)

  • [3]Shaofei Wang, Depeng Dang∗. Robust Cross-lingual Knowledge Base Question Answering via Knowledge Distillation[J]. Data Technologies and Applications,2021,SCI.

  • [4]Rongen Yan,Xue Jiang, Depeng Dang, Named Entity Recognition by Using XLNet-BiLSTM-CRF, Neural Processing Letters,2021,SCI.

  • [5]Depeng Dang, Chuangxia Chen, Haochen Li, Rongen Yan, Zixian Guo, Xingjian Wang, Deep knowledge-aware framework for web service recommendation, The Journal of Supercomputing,2021,SCI.

  • [6]Shaofei Wang, Depeng Dang∗, Incentive Mechanism for the Listing Item Task in Crowdsourcing, Information Sciences,Volume 512, Pages 80-95,ISSN 0020-0255, February 2020,SCI.(Top;CiteScore: 6.90;Impact Factor:5.524;5-Year Impact Factor: 5.305)

  • [7]Xinxin Wang, Depeng Dang ∗, Zixian Guo. Evaluating the crowd quality for subjective questions based on a Spark computing environment, Future Generation Computer Systems,(106):426-437,2020,SCI.

  • [8]Depeng Dang∗, Chuangxia Chen, Wenhui Yu and Huaxiao Hu. A semantic-aware collaborative filtering recommendation method for emergency plans in response to meteorological hazards. Intelligent Data Analysis,(24):705-721,2020,SCI.

  • [9]Dang Depeng*; Yu Wenhui; Chen, Chuangxia; Real-time detection and trend tracing of burst topics based on Negative Binomial Distribution on spark, Intelligent Data Analysis, 24(4) :925-940, 2020,SCI.

  • [10] Shaofei Wang, Depeng Dang, Zixian Guo, Chuangxia Chen, Wenhui Yu. Knowledge Enhanced Quality Estimation for Crowdsourcing. IEEE Access,I EEE Access PP(99):1-10, July 2019,SCI.

  • [11]Hu, Xin; Liu, Zhijie;Yao, Yingting;Wang, Nan;Dang, Depeng.Crowdsourcing Model Research for the Identification of Post-Earthquake Rescue Objects. Journal of Earthquake Engineering,23(5):863-881(IF:2.754),2019,SCI.

  • [12]Xin Hu, Depeng Dang. Crowdsourcing-based semantic relation recognition for natural language questions over RDF data. Enterprise Information Systems. 13(7-8): 935-958,2019,SCI.

  • [13]Dang Depeng, Xue Jiang, Nan Wang, Yingting Yao,Wenbin Yao. Concurrency Control of Real-Time Web Service Transactions. Journal of information science and engineering, 34(1):261-287,2018,SCI.

  • [14]Xin Hu, Depeng Dang, Yingting Yao, Luting Ye, Natural language aggregate query over RDF data, Information Sciences, Volumes 454–455, Pages 363-381,ISSN 0020-0255, 2018(Top,CiteScore: 6.90;Impact Factor: 5.524;5-Year Impact Factor: 5.305),2018,SCI.

  • [15]D. Dang, Y. Liu, X. Zhang and S. Huang, "A Crowdsourcing Worker Quality Evaluation Algorithm on MapReduce for Big Data Applications," in IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 7, pp. 1879-1888, 1 July 2016.(CCF A),2016,SCI.

  • [16]Shihang Huang, Ying Liu, Depeng Dang,Burst topic discovery and trend tracing based on Storm,Physica A: Statistical Mechanics and its Applications, Volume 416,2014,Pages 331-339,2014,SCI.(SCI CiteScore: 2.82;Impact Factor: 2.500;5-Year Impact Factor: 2.464)