教材：

[1]SQLServer：党德鹏. 数据库系统原理与实践. 北京: 清华大学出版社, 2023.3

[2]MySQL：(ISBN：9787302560067)党德鹏. 数据库应用、设计与实现(第二版). 北京: 清华大学出版社, 2021.1

[3]PostgreSQL：(ISBN：9787302464037)党德鹏. 数据库应用、设计与实现. 北京: 清华大学出版社, 2017.3

参考文献：

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

[2]Yan R., Jiang X., Wang W., Dang D. et al. Materials information extraction via automatically generated corpus. Sci Data 9, 401 (2022).

[3]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）

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

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

[6]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. 

[7]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）

[8]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.

[9]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.

[10]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.

[11] 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.

[12]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.

[13]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.

[14]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.

[15]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.

[16]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.

[17]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