Name: Li Ronghua
Discipline: Computer Science and Technology
Title: Professor
Contact number:
E-mail: lironghuabit@126.com
Address: Personal Information
Li Ronghua, male, doctor, professor, doctoral supervisor, national young talent. Dr. Li graduated from the Department of Systems Engineering and Engineering Management of the Chinese University of Hong Kong in 2013, joined the School of Computer and Software of Shenzhen University in September of the same year, and joined the School of Computer Science of Beijing Institute of Technology in March 2018. Dr. Li's research interests include graph data management and mining, graph computing systems, graph neural networks, graph representation learning, knowledge graphs, graph algorithm design and analysis, and graph theory. In recent years, Dr. Li has published more than 30 articles on SIGMOD, VLDB, KDD, ICDE, CCF Class A journals VLDB Journal and IEEE TKDE in the above related fields. The relevant research achievements have won 2 excellent papers of ICDE, 1 Best Student Paper Award of International Conference on Semantic Computing, and 1 first prize of Excellent Paper Award of Guangdong Computer Society. It undertakes the National Natural Science Foundation project, Youth Fund project, key project sub-project of joint fund, etc. The master students under the guidance were funded by the first Tencent Rhino Bird Elite Talent Program. Detailed information can be found in the personal home page (https://ronghuali.github.io/).
News: We plan to recruit one doctoral student and 3-4 master students every year. Excellent senior undergraduates are also welcome to join the laboratory. Those with excellent performance will be recommended to the United States, Australia, Singapore, Hong Kong, China and other places for further study (Note: Those with ACM programming competition background will be preferred). If you are interested in joining the team, please send your resume to lironghuabit@126.com

Research Direction
Graph data management and mining, graph computing System, Graph neural network, graph representation learning, Knowledge graph, graph theory design and analysis, etc.

Personal Information
Li Ronghua, male, doctor, professor, doctoral supervisor, national young talent. Dr. Li graduated from the Department of Systems Engineering and Engineering Management of the Chinese University of Hong Kong in 2013, joined the School of Computer and Software of Shenzhen University in September of the same year, and joined the School of Computer Science of Beijing Institute of Technology in March 2018. Dr. Li's research interests include graph data management and mining, graph computing systems, graph neural networks, graph representation learning, knowledge graphs, graph algorithm design and analysis, and graph theory. In recent years, Dr. Li has published more than 30 articles on SIGMOD, VLDB, KDD, ICDE, CCF Class A journals VLDB Journal and IEEE TKDE in the above related fields. The relevant research achievements have won 2 excellent papers of ICDE, 1 Best Student Paper Award of International Conference on Semantic Computing, and 1 first prize of Excellent Paper Award of Guangdong Computer Society. It undertakes the National Natural Science Foundation project, Youth Fund project, key project sub-project of joint fund, etc. The master students under the guidance were funded by the first Tencent Rhino Bird Elite Talent Program. Detailed information can be found in the personal home page (https://ronghuali.github.io/).
News: We plan to recruit one doctoral student and 3-4 master students every year. Excellent senior undergraduates are also welcome to join the laboratory. Those with excellent performance will be recommended to the United States, Australia, Singapore, Hong Kong, China and other places for further study (Note: Those with ACM programming competition background will be preferred). If you are interested in joining the team, please send your resume to lironghuabit@126.com

Personal Information
Li Ronghua, male, doctor, professor, doctoral supervisor, national young talent. Dr. Li graduated from the Department of Systems Engineering and Engineering Management of the Chinese University of Hong Kong in 2013, joined the School of Computer and Software of Shenzhen University in September of the same year, and joined the School of Computer Science of Beijing Institute of Technology in March 2018. Dr. Li's research interests include graph data management and mining, graph computing systems, graph neural networks, graph representation learning, knowledge graphs, graph algorithm design and analysis, and graph theory. In recent years, Dr. Li has published more than 30 articles on SIGMOD, VLDB, KDD, ICDE, CCF Class A journals VLDB Journal and IEEE TKDE in the above related fields. The relevant research achievements have won 2 excellent papers of ICDE, 1 Best Student Paper Award of International Conference on Semantic Computing, and 1 first prize of Excellent Paper Award of Guangdong Computer Society. It undertakes the National Natural Science Foundation project, Youth Fund project, key project sub-project of joint fund, etc. The master students under the guidance were funded by the first Tencent Rhino Bird Elite Talent Program. Detailed information can be found in the personal home page (https://ronghuali.github.io/).
News: We plan to recruit one doctoral student and 3-4 master students every year. Excellent senior undergraduates are also welcome to join the laboratory. Those with excellent performance will be recommended to the United States, Australia, Singapore, Hong Kong, China and other places for further study (Note: Those with ACM programming competition background will be preferred). If you are interested in joining the team, please send your resume to lironghuabit@126.com

代表性学术成果
1. Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao, Efficient Signed Clique Search in Signed Networks, 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, 2018.04.16-2018.04.19 （CCF A类）
2. Rong-Hua Li, Jiao Su, Lu Qin, Jeffrey Xu Yu, Qiangqiang Dai, Persistent Community Search in Temporal Networks, 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, 2018.04.16-2018.04.19 （CCF A类）
3. Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng, Skyline Community Search in Multi-valued Networks, International Conference on Management of Data, SIGMOD 2018, Houston, TX, USA, 2018.06.10-06.15 （CCF A类）
4. Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao, Finding Influential Communities in Massive Networks, VLDB Journal, 2017, 26(6): 751-776. （CCF A类）
5. Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao, Efficient and Progressive Group Steiner Tree Search, International Conference on Management of Data, SIGMOD 2016, San Francisco USA, 2016.06.26-07.01 （CCF A类）
6. Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin, Recursive Stratified Sampling: A New Framework for Query Evaluation on Uncertain Graphs, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(2): 468-482. （CCF A类）
7. Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao, Optimal Multi-Meeting-Point Route Search, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(3): 770-784. （CCF A类）
8. Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao, Influential Community Search in Large Networks, 41st International Conference on Very Large Data Bases, VLDB 2015, Hawaii USA, 2015.08.31-09.04 （CCF A类）
9. Rong-Hua Li, Jeffrey Xu Yu, Lu Qin, Rui Mao, Tan Jin, On Random Walk Based Graph Sampling, 31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul Korea, 2015.04.13-04.17 （CCF A类）
10. Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng, Random-walk Domination in Large Graphs, 30st IEEE International Conference on Data Engineering, ICDE 2014, Chicago USA, 2014.03.31-04.04 （CCF A类）
11. Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin, Efficient and Accurate Query Evaluation on Uncertain Graphs via Recursive Stratified Sampling, 30st IEEE International Conference on Data Engineering, ICDE 2014, Chicago USA, 2014.03.31-04.04 （CCF A类）
12. Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Efficient Core Maintenance in Large Dynamic Networks, IEEE Transactions on Knowledge and Data Engineering, 2014, 26(10): 2453-2465. （CCF A类）
13. Rong-Hua Li, Jeffrey Xu Yu, Scalable Diversified Ranking on Large Graphs, IEEE Transactions on Knowledge and Data Engineering, 2013, 25(9): 2133-2146. （CCF A类）
所获奖励
广东省计算机学会YOCSEF青年学者秀二等奖，2017
ICSC最佳学生论文奖，2016
深圳大学优秀青年教师奖，2015
广东省计算机学会优秀论文奖一等奖，2015
指导深圳大学本科生获得美国数学建模竞赛一等奖、二等奖各三次