Yong Liu

Yong Liu, Ph. D, postdoctoral, associate professor, doctoral supervisor. 2013-2014: Postdoctoral of University of Connecticut; 2008-2011: Ph. D of China University of Geosciences; 2001-2004: Master degree with honours from University of Wollongong, cooperative education program of Huazhong University of Science and Technology - University of Wollongong. He has presided over one program supported by National Natural Science Foundation of China, several major national engineering programs, one open fund for key laboratories of the Ministry of Education, and has participated in three programs supported by National Natural Science Foundation of China and one national science and technology support program as the key members. His main research fields are computational intelligence algorithm, information fusion and information assimilation, and landslide information processing, etc. He has published many academic papers in important academic journals and conferences both at home and abroad, published two monographs, and applied for several patents for inventions.

Contact information:

Email: cugly@qq.com

Office: Room 519, No. 2 Teaching Building

I. Main education and work experiences:

2011/11-present, associate professor, School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan)

2013/10-2014/10, Postdoctoral, Department of Civil and Environmental Engineering, University of Connecticut

2008/09-2011/06, Doctor, Faculty of Engineering, China University of Geosciences (Wuhan)

2004/07-2011/12, Lecturer, School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan)

2003/09-2004/06, Master, School of Computing and Information Technology, University of Wollongong

II. Main research fields:

1. Artificial intelligence. Research on deep learning, intelligent optimization algorithm and improved algorithm.

Including particle swarm optimization algorithm, ant colony algorithm, artificial neural network, deep learning network and other basic algorithms and improved algorithms, as well as the application of these algorithms in information processing and feature analysis, including the application in intelligent geological information processing and intelligent Internet of things.

2. Virtual reality and reality enhancement. Research on virtual reality and mixed reality

Including the modeling of VR helmet and VR glove data modeling, feature analysis and extraction of data, and the research on motion trail and attitude of object

3. Intelligent information processing. Systematic research on information fusion, information assimilation and other intelligent information processing methods

Including multi-sensor, multi-parameter information dimension reduction, information features analysis, high-dimensional data feature-based modeling, high-dimensional data prediction, similarity comparison of high-dimensional data, information interpolation of high-dimensional data, etc

III. Research programs in recent years as the principal investigator:

1. General Program of National Natural Science Foundation of China: Research on the intelligent assimilation method of reservoir landslide based on the expansion of multi-scale convolution transfer model, 2018/01-2021/12, 690,000Yuan

2. Youth Program of National Natural Science Foundation of China: Research on the information fusion method of multi-parameter flow data in the prediction of soft rock bedding landslide in Badong Group, 2014/01-2016/12, 350,000Yuan

3. Enterprise sponsored program of the key project of State Grid: Research on the design of automation module and intelligent information processing of electric power testing instrument, 2019/01-2021/12, 450,000Yuan

4. Enterprise sponsored program of the key project of State Grid: Research on the interactive simulation model of three-dimensional virtual reality environment for safety management and control of measurement work, 2019/01-2021/12, 1,000,000Yuan

5. Enterprise sponsored program of state key project: Advance geological prediction and bottom detection of Chenjia Tunnel and Shimazhai Tunnel, 2015/06-2020/12, 1,000,000Yuan

Notes: The programs listed above are those I have presided over in recent years, and the program which I have participated in and historical programs are not listed due to too many items. At present, the research group is engaged in the programs supported by national foundation and enterprises, so we have a good focus on scientific research and enterprise service. The research group keeps sound cooperation with large enterprises and institutions as well as Internet enterprises in the industry, has sufficient research funds, and is thus able to offer competitive achievement awards and internship employment opportunities.

IV. Scientific research achievements:

Published academic papers:

(1) Liu Y, Xu C, Huang B, et al. Landslide displacement prediction based on multi-source data fusion and sensitivity states[J]. Engineering Geology, 2020. (T1)

(2) Jingjing Long, Yong Liu, Changdong Li, et al. A novel model for regional susceptibility mapping of rainfall-reservoir induced landslides in Jurassic slide-prone strata of western Hubei Province, Three Gorges Reservoir area[J]. Stochastic Environmental Research and Risk Assessment, 2020. (T2) (student as the first author)

(3) Yong Liu, Zhimeng Qin, BaodanHu, Suai Feng, Liu Y, Qin Z, Hu B, et al. State fusion entropy for real-time and site-specific analysis of landslide stability changing regularities. Natural Hazards and Earth System Sciences[J]. 2018:1187-1199.

(4) Yong Liu, Dan Liu, Zhimeng Qin, Fengbo Liu, Lanbo Liu, Rainfall data feature extraction and its verification in displacement prediction of Baishuihe landslide in China, Bulletin of Engineering Geology and the Environment, 2016.1.27, 1007 (10): 897~907

(5) Yong Liu, Lanbo Liu, Rainfall feature extraction using cluster analysis and its applicationon displacement prediction for a cleavage-parallel landslide in the Three-Gorges Reservoir area, Natural Hazards and Earth System Sciences

(6) Yong Liu, Hongming Yu, Wenxing Jian, Hao Tian, Prediction of cutting deformation based on annealing neural network, Advanced Materials Research, 2011.01.01, 219-220: 308~311

(7) Yong Liu, Lanbo Liu, Shuai Feng, Zhimeng Qin, Ping Zhong, Search for high cut slope sliding surface in earthquake conditions based on GSS-PSO algorithm, 6th International Conference on Earthquake Geotechnical Engineering, Christchurch, New Zealand, 2015.11.1-2015.11.4

(8) Yong Liu, Shuai Feng, Zhimeng Qin. Similarity evaluation method of landslide monitoring points based on motion-angle-difference [J]. Rock and Soil Mechanics, 2019, 40(01):295-303.

(9) Yong Liu, Yanbo Zhu, Hongming Yu, Xuegang Wang, Multi-layer Fuzzy Synthetic Decision for Soft Ground Improvement Scheme, Geological Science and Technology Information, 2011.01.01, 30 (3): 123~126

(10) Yong Liu, Hongming Yu, Fengbo Liu, Zhimeng Qin, Landslide Displacement Nonlinear Time Series Prediction Model, Geological Science and Technology Information, 2016.9.15, (05): 203~207

(11) Yong Liu, Zhimeng Qin, Hongming Yu, et al. Generalized Predictive Control Algorithm for Landslide Displacement Multi-step Prediction. Geological Science and Technology Information, 2017(04):260-264.

(12) Hongming Yu, Yong Liu, Changhong Luo, Yanbo Zhu, Yanmin Liu, Petrophysical Characteristics of Residual Red Clay in Badong Group Soft Rock, Geological Science and Technology Information, 2013.1.15, (01): 186~190

(13) Pengyu Chen, Hongming Yu, Yong Liu, Cai Li, Zuwu Peng, Evaluation of debris flow risk based on independent information data fluctuation weighting method, Rock and Soil Mechanics, 2013.2.10, (02): 449~454

Monographs:

(1) Yong Liu, Hongming Yu, Li Ma, Modern Information Processing Method for Landslide Monitoring Data, Changjiang Press, 185000, 2017.03.01

(2) Yong Liu, Hongming Yu, Ping Zhong, Le Tang, Pengyu Chen, Computational Intelligence Methods for Landslide Prediction, China University of Geosciences Press, 182000, 2012.12.01

Patent for invention:

(1) A method and a device for monitoring the transition of wading landslide - 201610497751.8

(2) A method for analyzing the time-varying law of landslide stability - 201611112255.2

(3) A method for monitoring and analyzing the landslide motion patterns based on information fusion - 201611155056.X

(4) A method for evaluating the deformation similarity of landslide based on motion angle difference - 201611270807.2

(5) A four-dimensional interpolation data processing method, device and storage device - 201710632818.9

(6) A three-dimensional interpolation modeling method, device and storage device - 201710676502.X

(7) A method for dynamic response analysis of landslides with multiple affecting factors - 201711042714.9

(8) Landslide monitoring points zoning method, device and storage device based on block chain framework - 201810928872.2

(9) A method and system for matching the landslide displacement similarity based on movement angle difference - 201810981007.4

Software copyright:

(1)Yong Liu, Zhe Chen, Dynamic representation system of rainfall-induced landslides, software copyright registration No.: 2017SR233217

(2)Yong Liu, Baodan Hu, Live network teaching system, software copyright registration No.: 2821266

Teaching program:

2017 High-quality course development program for postgraduates: Internet of things and intelligent network communication. 2017.6-2019.6

V. Students in recent five years:

Grade 2014: Dan Liu (Wuhan Metro), Fengbo Liu (CAICT), Yani Guo (ISOFTSTONE), KERRY RAJIV (overseas student, returned), MUSTAFE MOHAMED (overseas student, returned), Xiaodan Zhang (on-the-job, Xi’an No. 1 People’s Hospital), Qingyun Chen (on-the-job)

Grade 2015: Zhimeng Qin (CAICT), Shuai Feng (VIVO), Zhimin Dong (H3C), Junda Wei (FiberHome), Gen Li, (FiberHome),  Jie Xu (on-the-job, Wuhan Business University), Yefan Wang (on-the-job).

Grade 2016: Zhe Chen (VIVO), AL-TAWILI FAHD (overseas student, returned)

Grade 2017: Baodan Hu (China Merchants Bank), Zhao Wu (FiberHome), Jingkun Jin (Beijing Shengda)

Grade 2018: Chang Xu (at school, national scholarship winner)

Notes:

1. All students have published high-quality papers indexed by SCI and EI and have received well training on professional knowledge and competence during their studying for master degree.

2. All students have well internship experience, including banking system (Bank of Zhengzhou), Internet industry (Huawei, SenseTime, VIVO, Sogou Music), network security system (Hikvision), State Grid System (State Grid), etc. In addition to getting higher income from scientific research grants, they can also adapt to the enterprise environment and learn about the work condition in the industry. They will have a deeper and comprehensive understanding of their own ability and enterprise requirements at the time of finding a job, which can also greatly enhance their employment advantages.

3. In recent years, all graduates have been employed by Wuhan Metro, Zhengzhou Telecom Research and Design Institute, Shengqu Games, VIVO, FiberHome, H3C, China Merchants Bank, ISOFTSTONE and other enterprises and public institutions, which have been listed after the student’s name. I believe that, in the next two decades, artificial intelligence, intelligent information processing and virtual reality will provide great advantages and competitiveness in further study and employment. After graduation, all the students of our team can enter scientific research institutes, large state-owned enterprises and high-paid Internet enterprises.

VI. Supervisor’s wishes:

When we study the performance of optimization algorithm, a very important criterion is whether the algorithm will fall into the local optimum and cannot jump out of it. Just like that, in the process of growing up, we tend to fall into our own comfort zone and miss our global optimization. In fact, each of us has the desire to jump out of the comfort zone and realize our life ideals!

Our team has good preliminary research, complete data and resources, and abundant funds. In our team, you are not required to have a deep foundation or a brilliant mind; as long as you work hard, you will have a clear research direction. In your three-year postgraduate career, I hope to encourage and accompany you as a friend, and spur and inspire you as a teacher. I hope you will succeed in your studies and move forward to your overall optimization.

I would like to recruit 2-4 postgraduate students every year, and I look forward to your joining. In case of any confusion, welcome to discussing with me.