Lu Gang, PhD, lecturer
He graduated from the School of Information Science and Technology, Beijing University of Chemical Technology. In 2013, I visited CCI (Crowd Intelligence Center) at MIT for half a year. He is currently a member of the CCF High Performance Computing Committee and the head of the high performance computing platform of the School of Information Science and Technology, Beijing University of Chemical Technology. The main research directions are complex network and social computing, large-scale graph computing-oriented big data technology, distributed and parallel computing technology, and artificial intelligence application technology. Currently, he has published more than 30 core papers in SCI, EI, and Chinese; presided over and participated in more than 20 horizontal and vertical scientific research projects and educational reform projects; participated in obtaining one provincial and ministerial technological invention award and one provincial and ministerial technological achievement appraisal Item; Participated in editing 2 textbooks.
Teaching Courses
Course Title | Course notes |
The College Computer | Undergraduate |
Computer Networks | Undergraduate |
Introduction to Computer Science | Undergraduate |
Introduction to Machine Learning | Undergraduate |
Information Retrieval and Writing Science and Technology Paper | Undergraduate |
Introduction to Network Science | Postgraduate |
Research Projects
project name | project source |
Research on OSN Complex Network Modeling and Related Issues | Beijing Young Talents Project |
Research on Complex Network Modeling and Communication Dynamics of Online Social Networks | Fundamental scientific research business expenses for central universities |
Research and development of output video image synchronization enhancement system | Enterprise Horizontal Project |
Research on Portrait Identification Technology Based on Automatic Face Recognition | Enterprise Horizontal Project |
Research on Vehicle Type Recognition Technology in Fuzzy Vehicle Images | Enterprise Horizontal Project |
Voice data statistical analysis system development | Enterprise Horizontal Project |
Pipeline integrity platform construction | Enterprise Horizontal Project |
Mass text information analysis and inspection system development | Enterprise Horizontal Project |
Power Enterprise Safety Evaluation Task Management System | Enterprise Horizontal Project |
Online and offline hybrid teaching reform project of China University Computer Education MOOC Alliance | Educational Reform Project |
Main Achievements and Awards
China Petroleum and Chemical Industry Federation Science and Technology Award, Third Prize for Technology Invention (rank 5): Pipeline leak diagnosis and location technology aimed at zero false alarms and low false alarms under strong interference conditions
Hunan Province Scientific and Technological Achievement Appraisal (rank 6): Real-time detection system for pipeline leakage based on infrasound characteristics
University Computer won the school-level curriculum ideological and political demonstration course, school-level high-quality undergraduate course
University Computer school-level outstanding undergraduate education team member (ranked 3)
University Computer Beijing high-quality undergraduate textbook courseware (ranked 2)
University Computer school-level high-quality undergraduate textbooks (ranked 2)
First Prize of the 10th Young Teacher Fundamental Skills Competition of Beijing University of Chemical Technology
2016 Beijing University of Chemical Technology Outstanding Teaching Achievement Award (ranked 5)
The 14th Outstanding Young Lecturer of Beijing University of Chemical Technology
Third Prize of Beijing Competition of the Second National University Micro-Class Teaching Competition
University Computer Fundamentals courseware won the second prize of the 7th National University Computer Courseware Appraisal
Participated in the compilation of University Computer Fundamentals (3rd Edition) and supporting experimental instructions, deputy editor of University Computer (4th Edition) Micro-Lesson Edition and supporting experimental instructions are Beijing fine textbooks
Research Publications
[1]Zhiqiang Geng, Guofei Chen, Yongming Han, Gang Lu, Fang Li. Semantic relation extraction using sequential and tree-structured LSTM with attention. Information Sciences (SCI), 2020, 509(1): 183-192
[2]Yu Yue, Lu Gang*, Guo Junxia. Research on multi-view community discovery based on local collaborative selection clustering. Computer Systems Applications, 2018, 27(1): 20-27
[3]Ma Lu, Lu Gang*, Guo Junxia. Network evolution model based on time-varying differential fitness. Computer Engineering, 2017, 43(4):94-99
[4]You Feng, Cao Tianliang, Lu Gang*. Adaptive UNI sampling method for online social networks. Computer Engineering, 2017, 43(4): 200-206
[5]Junxia Guo, Hao Han, Weijia Zeng, Gang Lu. Interest Analysis Based-on Knowledge Websites through User-browsing-behavior. Proceedings of FSDM2017 (CPCI-S/EI), v299: 100-106
[6]Lu Ma, Gang Lu*, Junxia Guo. Observing the Evolution of Social Network on Weibo by Sampled Data. IEEE ICIS2016 (CPCI-S/EI), Okayama, Japan, 2016
[7]Li Tiantian, Lu Gang*, Xu Nanshan, Guo Junxia. Large-scale complex network compression layout algorithm based on k-core. Computer Engineering, 2016, 42(50): 308-312
[8]Li Huan, Lu Gang*, Guo Junxia. GPU-based parallel algorithm for group generation of large-scale network zero models. Computer Engineering and Design, 2016, 37(1): 93-99
[9]Cheng Ling, Jingyang Gao, Gang Lu. Phylogenetic Likelihood Estimation on GPUs Using Vertical Partitioning Scheme. 2016 IEEE Trustcom/BigDataSE/ISPA (CPCI-S/EI), 1210-1217
[10]Qiang Yang, Gang Lu*. The establishment of Weibo social network model and its properties. Computer Engineering and Applications, 2015, 52(12): 42-48
[11]Hong Liang, Nanshan Xu, Gang Lu*. Analysis of Sina Weibo users and their characteristics. Computer Engineering and Applications, 2015, 51(7): 141-148
[12]Gang Lu*, Qinliang Xu, Nanshan Xu, Junxia Guo. Design and implementation of a loosely coupled distributed computing framework for complex networks. Computer Engineering, 2015, 41(11): 73-76, 93
[13]Li Huan, Lu Gang*, Guo Junxia. Quantitative evaluation of complex network zero model. Computer Applications, 2015, 35(6): 1560-1563, 1572
[14]Huan Li, Gang Lu*, Junxia Guo. Generating Null Models for Large-Scale Networks on GPU. 2015 International Industrial Informatics and Computer Engineering Conference (CPCI-S), Xi’an, P.R. China, 2015
[15]Li Tiantian, Lu Gang*, Xu Nanshan, Guo Junxia. GPU-based large-scale network layout display. Computer System Applications, 2015, 24(12): 25-33
[16]Xu Nanshan, Li Hao, Lu Gang*. UNI64 sampling method for online social networks. Computer System Applications, 2014, 23(12): 206-212
[17]Guanghan Liang, Xiao Zhang, Gang Lu. Online Social Mobilizing Model Study: A Case Study on an Individual Campaign in Chinese New Social Movements. International Conference on Social Science and Management, Chicago, Illinois, USA, 2014
[18]Gang Lu*, Shumei Liu, Kevin Lü. Crawling Microblog by Common Designed Software. TELKOMNIKA Indonesian Journal of Electrical Engineering (EI), 2013, 11(7): 3618-3626
[19]Zhao Yaduan, Lu Gang*, Zhao Ying, Shan Lan. Parallel computing of complex network community mining algorithm based on GPU. Application Research of Computers, 2013, 30(8): 2426-2428
[20]Junxia Guo, Cheng Gao, Nanshan Xu, Gang Lu, Hao Han. Analyzing Query Trails and Satisfaction based on Browsing Behaviors. 2013 Web Information System and Application Conference (CPCI-S/EI), 2013: 107-112
[21]Hong Liang, Gang Lu*, Nanshan Xu. Analyzing user influence of microblog. The 5th International Conference on Advanced Computational Intelligence (EI), Nanjing, P.R. China, 2012
[22]Wang Wei, Lu Gang*, Xu Nanshan. Personalized document management method based on document relation model. Computer System Applications, 2011, 20(8): 58-62
[23]Junkai Yi, Gang Lu*, Kevin Lü. Monitoring Cumulated Anomaly in Databases. International Journal of Software Engineering and Knowledge Engineering (SCI), 2009, 19(3): 421