Current position: Associate Professor

Contact Information:

School of Mathematical Sciences,

Ocean University of China,

238 Songling Road,

Qingdao, China, 266100

Email: liulonglong98@hotmail.com

Education:

Ph.D. in Marine Geology, July 2006. College of marine geosciences, Ocean University of China.
M.Sc.in Marine Physics, July 1995. College of information and engineering, Ocean University of China.
B.Sc.in Automatic Control, July 1989, Department of Information and Control Engineering, Xi'an Jiaotong University.

Professional Experience:

1989-1992, in the 408 Factory of the Chinese People's Liberation Army.

1995-2019, in School of Mathematics, Ocean University of China.

Research Interests:

The main research fields are artificial neural network, deep learning and control theory.

Grants:

1. 2012.9 -2013.9, the layout of temperature measuring points for district heating. 20130482.

2. National Natural Science Foundation of China (No. 61303145), Research on structure-sensitive mesh editing techniques. 2014.01-2016.12

3. Research Award Fund for Excellent Young and Middle-aged Scientists of Shandong Province,China(No. BS2012DX043), Structure-preserving mesh editing algorithms based on simplified graph. 2012.07-2014.12

4.Fundamental Research Funds for the Central Universities（No 201362031）Construction and Application of Network Model in Marine organism. 2013.1-2014.1.

Selected Publications:

1. Liu L , Qu J , Zhou X , et al. Discovery of a Strongly-Interrelated Gene Network in Corals under Constant Darkness by Correlation Analysis after Wavelet Transform on Complex Network Model[J]. PLOS ONE, 2014, 9.

2. Liu L L , Liu M J , Ma M . Function Clustering Self-Organization Maps (FCSOMs) for mining differentially expressed genes in Drosophila and its correlation with the growth medium[J]. Genetics & Molecular Research, 2015, 14(3):11658-11671.

3. Liu L , Zhao T , Ma M , et al. A new gene regulatory network model based on BP algorithm for interrogating differentially expressed genes of Sea Urchin[J]. SpringerPlus, 2016, 5(1):1911.

4. Liu L, Ma M, Cui J. A Novel Model-Based on FCM-LM Algorithm for Prediction of Protein Folding Rate.[J]. Journal of Bioinformatics & Computational Biology, 2017, 15(04):17.

5. Liu L, Yu S N, The Academic Warning Model Based on TLBO-BP Algorithm, The 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery.2018.

6. Liu L. Construction of linear dynamic gene regulatory network based on feedforward neural network[C]// International Conference on Natural Computation. 2014.

7. Liu L, Ma M, Cui J A GASVM Algorithm for Predicting Protein Structure Classes, Journal of Computer and Communications,2016,4.

8. Liu L, Cui J, Ma M. A Novel Prediction Method of Protein Structural Classes Based on Protein Super-Secondary Structure, Journal of Computer and Communications, 2016,4.

9. Liu L L , Zhou J. Mining of light-related genes in grapes based on a time-frequency analysis, ICITMI,2015_4th International Conference on Information Technology,2015.

10.Liu L L, Zhai S K. The basic mathematic model for normal black smoker system and hydrothermal megaplume[J]. Acta Oceanologica Sinica, 2006, 28(6):53-60.

11.LIU Long-long, CUI Jing, MA Ming-Jiao. Reaching law method of multi input discrete-time variable structure control systems with time delay. Periodical of Ocean University of China (Natural Science Edition), 2018.7.

12.Liu L L, Ma M, Liu M J. A Model of Protein Sequences Based on SOM Neural Network, Periodical of Ocean University of China (Natural Science Edition), 2016 (s1): 451-456.

13. Liu L L, Zhou X L, Liu X F. Threshold Analysis of Gene Expression Data Based on G A and LVQ Networks. Periodical of Ocean University of China (Natural Science Edition), 2013, 43(12):111-116.

14. Liu L L, Yu S N, Gao C C. Improved Differential Evolution Algorithms Based on Sliding Mode Control [J], Computer Systems & Applications, 2018.27 (12).