2022

• The K.C. Wong Education Foundation, Hong Kong: International Artifical Intelligence Summit (Qingdao) & “Belt and Road” New Trends in Computational Intelligence, Dec 15-17, 2022, 35,000 RMB.

• The National Natural Science Foundation of China: Research on Evolved Physics Orientated Network Model for Inter-well Connectivity (No. 62173345), January,2022 - December,2025, 560,000 RMB.

• The “Belt and Road” Innovative Talent Exchange Foreign Experts Project: Talent Recruiment on Big Data and Intelligent Computation (No. DL2021152001L), Dec 2021-Dec 2022, 150,000 RMB.

• The Fundamental Research Funds for the Central Universities: Mathematical model construction and neural network optimization for reservoir injection production control(No. 22CX03002A), January,2022 - December,2024, 200,000 RMB.

• Commercial Project: Research on injection production control method of water drive reservoir based on development performance data, July 2022-December 2022, 4,500,000 RMB.

2021

• The Joint fund of Science and Technology Department of Liaoning Province and State Key Laboratory of Robotics: Research on inter well connectivity of online machine learning model based on seepage mechanism (2021-KF-22-07), July, 2021-June,2023, 50,000 RMB.

• The the Source Innovation Scientific and Incubatio Project of Qingdao: Research on Depth Fractional Variational Image Enhancement Technology Based on Illumination Model and Its Application (No. 2020-88), December 2020-December 2022, 200,000 RMB.

2020

• The National Key Research and Development Program of China：Study on key materials and mechanism of intelligent fluid for enhanced oil recovery（No. 2019YFA0708700）Project 4：Micro seepage law and high efficiency displacement mechanism of super saturated intelligent fluid，June，2020-May, 2025, 1,100,000 RMB.

• The Major Scientific and Technological Projects of China National Petroleum Corporation (CNPC)：Combined Physical Model and Neural Networks based Interpretable Reservoir Connectivity Study (No. ZD2019-183-008), May, 2020-June, 2023, 500,000 RMB.

2019

• The Fund for International Cooperation and Exchange：International Cooperation in Science and Technology Base on Computational Intelligence with Big Data，January,2019-December,2019, 100,000 RMB.

2018

• The Natural Science Foundation of Shandong Province: Design and Convergence of Gradient Class Algorithms for Fractional Complex Value Neural Networks (No. ZR2018MF004),March,2018-June,2021, 120,000 RMB.

• The Fundamental Research Funds for the Central Universities: Fractional order dynamic model for enhanced production by CO2 injection in shale gas reservoirs, January,2018 - Decembe,2021.

• The Fund for International Cooperation and Exchange：International Cooperation Base for Cross-Media Big Data Analysis and Application，January,2018-January,2021.

2017

• The Fund for International Cooperation and Exchange：High-end Intelligent Intelligent Information Processing Plan for Large Data，January,2017-December,2017.

2016

• The Fund for International Cooperation and Exchange: Research and Practice on the Teaching Mode of Information Computing Course in English, January,2016-December,2016.

2015

• The Fundamental Research Funds for the Central Universities：Research and Analysis of Over-limit Learning Machine Model for Deep Water Drilling Safety AssessmentNo.15CX05053A,September,2015-September,2018.

2014 and Former

• the National Natural Science Foundation of China: Design of Fault Tolerant Learning Algorithms for Feedforward Neural Networks and Study of Deterministic Convergence, No.61305075,January,2014 - December,2016.

• The Specialized Research Fund for the Doctoral Program of Higher Education of China: Design of Fault Tolerant Learning Algorithms for Neural Networks and Study of Deterministic Convergence，January,2014 - December,2016.

2013

•  The Natural Science Foundation of Shandong Province: Design and Theoretical Study of L1/2 Regularization Method in Neural Networks, No.ZR2013FQ004, October,2013-October,2016.

• The Fundamental Research Funds for the Central Universities: Application and Analysis of L1/2 Regularization Method in Neural Networks, No.13CX02009A, January,2013-December,2014.

2012

• The China Postdoctoral Science Foundation: Convergence Analysis of Feedforward Neural Network Based on L1/2 Regularization Method, No.2012M520624, October,2012-October,2014.