Personal Profile

Prof. Yuan Pingpeng, supervisor of doctorate candidates, is a senior member of Chinese Computer Federation. His research interests involves in the fields of database, data mining, parallel and distributed computing, and natural language processing, including data-intensive computing,  question answering, and Chinese character embedding. Now, he mainly explores novel theories, methods, systems, and applications for big data management methods and NLP. We have developed multiple systems including TripleBit, PathGraph and SemreX, among which the graph database TripleBit (stand-alone version, subsequent parallel version and distributed version) and the graph computing system PathGraph consist of complete tools for big graph processing.

He has undertaken and participated in many major research projects, which were funded by the National Natural Science Foundation of China, the 973 Project, the Hubei Development and Reform Commission Project, the China - Hungary International Cooperation Project, the Ministry of Education, Guangdong Province.  

The students he surpervised received academic awards. For example, one undergraduate was awarded the Excellent Bachelor's Degree Thesis of Hubei Province in 2009. Two undergraduates won the first prize (2009) and the third prize (2008) of the Excellent Graduation Design (Thesis) Award of Huazhong University of Science and Technology respectively. The two postgraduate students were awarded Excellent Master's Degree Theses of Hubei Province.

Academic Degrees

Professional Experience

Courses Taught

[1] Principle of Database System

[2] Computer Network

[3] Parallel Programming

Awards and Honors

[1] 2015  Excellent Instructor of Master's Degree Thesis of Hubei Province

[2] 2013  Excellent Instructor of Master's Degree Thesis of Hubei Province

[3] 2009  Excellent Instructor for Bachelor's Degree Thesis of Hubei Province

Selected Projects Funded

Selected Publications

[1] Pingpeng Yuan, Pu Liu, Buwen Wu, Hai Jin, Wenya Zhang, Ling Liu: TripleBit: a Fast and Compact System for Large Scale RDF Data. Proc. VLDB Endow. 6(7): 517-528 (2013)

[2] Pingpeng Yuan, Wenya Zhang, Changfeng Xie, Hai Jin, Ling Liu, Kisung Lee: Fast Iterative Graph Computation: A Path Centric Approach. SC 2014: 401-412

[3] Pingpeng Yuan, Changfeng Xie, Ling Liu, Hai Jin: PathGraph: A Path Centric Graph Processing System. IEEE Trans. Parallel Distributed Syst. 27(10): 2998-3012 (2016)

[4] Pingpeng Yuan, Yujie You, Shuang Zhou, Hai Jin, Ling Liu: Providing Fast Reachability Query Services With MGTag: A Multi-Dimensional Graph Labeling Method. IEEE Trans. Serv. Comput. 15(2): 1000-1011 (2022)

[5] Buwen Wu, Yongluan Zhou, Pingpeng Yuan, Ling Liu, Hai Jin: Scalable SPARQL querying using path partitioning. ICDE 2015: 795-806

[6] Pingpeng Yuan, Changfeng Xie, Hai Jin, Ling Liu, Guang Yang, Xuanhua Shi: Dynamic and fast processing of queries on large-scale RDF data. Knowl. Inf. Syst. 41(2): 311-334 (2014)

[7] Shuang Zhou, Pingpeng Yuan, Ling Liu, Hai Jin: MGTag: a Multi-Dimensional Graph Labeling Scheme for Fast Reachability Queries. ICDE 2018: 1372-1375

[8] Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Hai Jin: Mining Diversified Top-$r$r Lasting Cohesive Subgraphs on Temporal Networks. IEEE Trans. Big Data 8(6): 1537-1549 (2022)

[9] Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Jifei Wang, Ling Liu, Hai Jin: Mining Stable Quasi-Cliques on Temporal Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3731-3745 (2022)

[10] Wei Lu, Zhaobo Zhang, Pingpeng Yuan, Hai Jin, Qiang-Sheng Hua: Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters. CIKM 2022: 1369-1378

[11] Buwen Wu, Yongluan Zhou , Pingpeng Yuan, Hai Jin, Ling Liu: SemStore: A Semantic-Preserving Distributed RDF Triple Store. CIKM 2014: 509-518

Professional Affiliations

Research Group

Enrollment Information

Personal Homepage

Web: /hust/mu_faculty/yuanpingpeng/en/index.htm