◎ Research Interests 1. Neural Networks, Evolutionary Computation, Fuzzy Sets Theory 2. Aritificial Intelligence, Big Data Model, Sparse Optimization
◎ Education
2024.09-2027.09 Visiting Professor, Belarusian State University, Belarus 2018.04-2018.05 Visiting Professor, Electronics and Communication Sciences Unit (ECSU), Indian &2017.02-2017.03 Statistical Institute, Calcutta, India. Supervisor: Prof. Nikhil R. Pal 2013.07-2014.01 Postdoc, Electrical and Computer Engineering, University of Louisville, Louisville, Kentucky, USA Supervisor: Prof. Jacek M. Zurada 2011.10-2012.01 Visiting Ph.D., Computational Mathematics, Xi'an Jiaotong University, China Supervisor: Prof. Zongben Xu 2010.09-2011.09 Joint Ph.D., Electrical and Computer Engineering, University of Louisville, Louisville, Kentucky, USA Supervisor: Prof. Jacek M. Zurada 2006.09-2012.07 Ph.D., Computational Mathematics, Dalian University of Technology, Dalian, China Supervisor: Prof. Wei Wu 1998.09-2002.06 B.S., Computational Mathematics, China University of Petroleum, Dongying, China
◎ Occupations 2025.07-present， Vice Dean, College of Science, China University of Petroleum (East China) 2022.11-present, Director of Professor Committee, College of Science, China University of Petroleum (East China) 2020.12-present Professor, College of Science, China University of Petroleum (East China), Qingdao, China 2018.12-present Doctoral Supervisor, College of Control Science and Engineering, China University of Petroleum (East China), China 2018.03-present Director, Cross-Media Big Data Joint Laboratory, China University of Petroleum (East China), China 2016.09-present Director, Office of International Cooperation andExchange (OICE), College of Science, China University of Petroleum (East China), China 2016.05-2021.10 Director, Department of Pure Mathematics, China University of Petroleum, China 2012.12-2020.12 Associate Professor, School of Sciences, China University of Petroleum, China 2012.07-2012.12 Lecturer, School of Sciences, China University of Petroleum, China 2002.09-2006.07 Lecturer, School of Sciences, China University of Petroleum, China ◎Courses
1.《Neural Networks》 and 《Computational Intelligence and Pattern Recogonition》for Undergraduate students. 2.《Neural Networks》、《Advanced Models in Computational Intelligence》、《Big Data and Artificial Intelligence》 for Master and Ph.D students.
◎承担和参与项目
1.近年来，主持的代表性科研项目：
2025 •Development of a Deep-Sea Non-Cooperative Target Detection Robot (UTDV): 6,000m-Class Deep-Sea Small Target Exploration and Disposal Robot (UTDV) Autonomous Recognition System (No. 6000UUVLHYZ-16), May 21, 2025 – December 31, 2026, 1,400,000 RMB.Laoshan Laboratory, P.R. China. Principal Investigator (Ranked 1st out of 15 participants) •National Foreign Experts Program: Theoretical Research on Intelligent Reservoir Production Optimization Integrating Data and Model Mechanisms (No. H20251082), January 1, 2025 - December 31, 2026, 400,000 RMB. Project Source: Ministry of Human Resources and Social Security, Rank: 1/8.
2023
•The “Belt and Road” Innovative Talent Exchange Foreign Experts Project: Research on interpretable neural network models and optimization algorithms (No. DL2023152001L), Jan 2023-Dec 2024, 200,000 RMB.National Bureau of Foreign Experts Affairs, Ministry of Human Resources and Social Security •Introduction Plan for High-level Foreign Experts Project: Construction of high-dimensional fuzzy neural systems and research on sparse multi-objective evolutionary optimization models (No. G2023152012L) Jan 2023-Dec 2024, 300,000 RMB.National Bureau of Foreign Experts Affairs, Ministry of Human Resources and Social Security. •China-Central and Eastern European University Joint Education Project: Advances and exchanges in computational intelligence model building and Big data analysis (No. 2022151), March, 2023-Feburary, 2025, 100,000 RMB, China Education Association for International Exchange. 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 •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.
◎Honors and Awards 27. Guangdong Xue, The Fuzzy Systems for High-Dimensional Data and Its Feature Selection and Rule Extraction, Supervisor of an Outstanding Doctoral Dissertation Award, Shandong Province, China, 2026. 26. Zhixue Sun, Yongfei Yang, Zhilei Sun, Tao Tan, Gongyi Wu, Xin Zheng, Jianwei Feng, Junrong Liu, Jian Wang, Yueying Wang, Aimin Lv, Shufeng Yang, Xinrui Li, Yajun Wang, Yujuan Bai. Key Technologies and Large-Scale Applications for Multiscale Intelligent Characterization of Carbonate Reservoirs and Dynamic Flow-Field Regulation. First Prize, Science and Technology Progress Award of the China General Chamber of Commerce, December, 2025 25. Jian Wang, Yong Zhang, Xuetao Xie, Nikhil R. Pal, Qin Chang. “Research on High-Dimensional Data Space Reconstruction and Structured Reduction Mechanisms of Large-Scale Models”, Second Prize, Qingdao Natural Science Award, Qingdao, China, November, 2025. 24. “Top Ten Graduate Supervisors”, China University of Petroleum (East China), June, 2025. 23. Elected as Fellow of Asia-Pacific Artificial Intelligence Association (AAIA), May, 2025 22. Elected as Member of the European Academy of Sciences and Arts, June, 2024 21. Outstanding Associate Editor Award of《IEEE Transactions on Emerging Topics in Computational Intelligence》,2024 20. Jian Wang, Nikhil R. Pal, Qin Chang, Xuetao Xie, Ziwei Bian. “Sparse Modeling Theory and Essential Optimization Techniques for High-Dimensional Data in Soft Computing”, First-Class Award, Shandong Association for Artificial Intelligence, 2024. 19. Guangdong Xue, The Fuzzy Systems for High-Dimensional Data and Its Feature Selection and Rule Extraction, Excellent Doctoral Dissertation of China University of Petroleum (East China), Faculty Advisor, 2024. 18. Xiangyu Wang, Design of competitive particle swarm optimizer and construction of sparse optimization operator for large-scale multi-objective problems, Excellent Master's Thesis of Shandong Province, Faculty Advisor, 2023. 17. Huaqing Zhang, Study on the sparse optimization and interpretability of neural networks, Excellent Doctoral Dissertation of China University of Petroleum (East China), Faculty Advisor, 2023. 16. Outstanding Associate Editor Award of《IEEE Transactions on Neural Networks and Learning Systems》,2023. 15. Xiangyu Wang, Design of competitive particle swarm optimizer and construction of sparse optimization operator for large-scale multi-objective problems, Excellent Master's Thesis of China University of Petroleum (East China), Faculty Advisor, 2022. 14. Senior Member, The Institute of Electrical and Electronics Engineering (IEEE), 2021; 13. Jianing Cao, Shandong Undergraduate Mathematical Contest, Faculty Advisor, 2021; 12. Xuetao Xie, Design and Analysis of Neural Network Structure Optimization Learning Model Based on L1 Regularization, Excellent Master's Thesis of Shandong Province, Faculty Advisor, 2021; 11. Outstanding Associate Editor Award of《IEEE Transactions on Neural Networks and Learning Systems》,2021; 10. Bingjie Zhang, Design and Analysis of Conjugate Neural Network Algorithm Based on Generalized Armijo Line Search, Excellent Master's Thesis of Shandong Province, Faculty Advisor, 2020; 9. Tianqi Li, Shandong Undergraduate Mathematical Contest, Faculty Advisor, 2019; 8. Tiangao Zhou, Xiangyu Wang, Yifei Hua, China Undergraduate Mathematical Contest in Modeling, Faculty Advisor, 2018; 7. Distinguished Teacher Award, China University of Petroleum (East China), 2015; 6. “Outstanding Talents Plan” of Qingdao, 2014; 5. “Top Talent Project Plan”, China University of Petroleum (East China), 2014; 4. Pengcheng Ding, Kang Ma, Shanglin Liang, Mathematical Contest In Modeling Certificate of Achievement, Faculty Advisor, 2013; 3. Natural Science Academic Achievement Award of Liaoning Province, 2013; 2. Distinguished Ph.D graduates Award, Liaoning Province, 2012； 1. Natural Science Academic Achievement Award of Liaoning Province, 2012;
◎Publications
Website：http://cilab.upc.edu.cn/7528/list.htm
◎Patents Jian Wang, Xiaoling Gong, Bingjie Zhang, Yusong Liu, Xian Shi, Yanjiang Wang. Invention Patent: Handwritten digit recognition method based on fractional calculus and generalized inverse neural network, Patent No.: ZL201610834842.6.Grant Date: May 28, 2019.Publication No.: CN106407932B. China; Xian Shi, Xu Jiangf, Shuangfang Lu, Jian Wang. Invention Patent: A method for evaluating the compressibility of shale reservoirs based on support vector machine technology, Patent No.: ZL201711086064.8.Grant Date: May 14, 2021.Publication No.: CN108009705B. China; Kai Zhang, Chao Zhong, Guodong Chen, Xiaoming Xue, Liming Zhang, Chuanjin Yao, Jian Wang, Yongfei Yang, Zhixue Sun. Invention Patent: A reservoir production machine learning method based on a parallel surrogate model, Patent No.: ZL202010572648.1.Grant Date: June 4, 2021.Publication No.: CN111861774B. China; Jun Yao, Kai Zhang, Guodong Chen, Xiaoming Xue, Chuanjin Yao, Jian Wang, Yongfei Yang, Zhixue Sun. Invention Patent: A large-scale reservoir injection-production optimization method based on a machine learning surrogate model, Patent No.: ZL202010292889.0.Grant Date: April 12, 2022.Publication No.: CN111625922B. China; Qiang Zhang, Jian Wang, Feiqi Fu, Kai Zhang, Yifei Pu. Invention Patent: A method and system for single low-light image enhancement based on Retinex and convolutional neural networks, Patent No.: ZL202110449727.8.Grant Date: July 12, 2022.Publication No.: CN113129236B. China; Shan Ma, Chunyu Qiu, Jian Wang, Qiang Zhang, Jingxu Guo, Feiqi Fu, Bin Yuan, Kai Zhang. Invention Patent: A method and system for single low-light image enhancement based on Retinex and convolutional neural networks, Patent No.: ZL202211484183.X.Grant Date: August 5, 2025.Publication No.: CN115797205B. China. Jianpeng, Kai Zhang, Jian Wang, Xuetao Xie, Qin Chang. Invention Patent: A Prediction Method for Residual Oil Saturation Based on a Flow-Mechanism-Constrained Surrogate Model, Paten No.: ZL202510789147.1 Grant Date: August 12, 2025, Publication No.: CN120297168B. China. Feng Lin, Jian Wang, Huaqing Zhang, Bin Yuan, Xian Shi, Kai Zhang. Invention Patent: Image Dehazing Method, System, Storage Medium, and Device Based on Energy-Domain Transformation, Patent No.: ZL202211266861.5 Grant Date: March 6, 2026, Publication No.: CN115564679B. China.
◎Software Copyrights 1. Shuchun Cao, Kaijun Tong, Huaiying He, Yanchao Li, Zhixue Sun, Kairui Ye, Longqing Zou, Xin Zhou, Jian Wang. Unconventional Oil and Gas Reservoir Well Productivity Prediction Software V1.0, Certificate Number: 11170484, Authorization and Registration Date: June 6, 2023 2. Software Copyright: Embedded Discrete Fracture Simulation Software for Fractured Horizontal Wells V1.0, Certificate No.: 13777822, Registration Date: September 13, 2024. 3. Software Copyright: Polymer Flooding Reservoir Simulation Software V1.0, Certificate No.: 14211020, Registration Date: November 15, 2024.
◎Professional Services 2022.11- present Qingdao Key Laboratory of Industrial Artificial Intelligence, Director 2022.11- present Qingdao West Coast New Area Industrial Chain High Quality Development Consultation, Consultant 2022.11- present Professor Committee, College of Science, Director 2021.01-present Shandong Provincial Energy Industry Big Data Development and Innovation Laboratory, Deputy Director 2019.01-present Shandong Mathematical Society, Council Member
◎Associate Editor and Editorial Board Member 2024.02-present, IEEE Transactions on Systems Man Cybernetics-Systems (Associate Editor) 2024.01-present, IEEE Transactions on Fuzzy Systems (Associate Editor) 2024.01-2024.12, Information Sciences (Special Issue: ML and MHs) Executive Gust Editor 2023.01-present, IEEE Transactions on Emerging Topics in Computational Intelligence (Associate Editor) 2023.01-present, Information Sciences (Associate Editor) 2021.06-present, Computational Intelligence (Guest Editor); 2021.05-present, System Simulation Technology (Editor) 2021.04- present, Complex & Intelligent Systems (Associate Editor) 2021.03-present, International Journal on Machine Learning and Cybernetics (Associate Editor) 2020.03-present, Neural Computing & Applications (Editor) 2019.07-present, Journal of Liaocheng University（Natural Science Edition) (Editor) 2018.01-2024.01, IEEE Transactions on Neural Networks and Learning Systems (Associate Editor) 2014.03 – present, Journal of Applied Computer Science Methods (Associate Editor)
◎Conferences Activities 2026.11 General Chair, The 8th International Conference on New Trends in Computational Intelligence, Jinzhou, China, Nov. 6-8, 2026; Website: https://www.ntci.org/ 2026.06 General Chair, 2026 2nd International Conference on Digital Economy and Intelligent Computing (DEIC 2026), Johor Bahru, Malaysia, June 12-14, 2026. Website: https://www.icdeic.com/ 2026.03 General Chair, The 6th International Conference on Applied Mathematics, Modeling and Intelligent Computing, Shanghai, China, Mar. 27-29, 2026. Website: https://www.cammic.org/ 2025.12 General Chair, The 5th International Conference on Computational Modeling, Simulation and Data Analysis, Qingdao, China, Dec. 12-14, 2025. Website: https://www.icmsda.com/ 2025.10 Publication Chair, The International Conference on Machine Intelligence and Nature-inspired Computing, Xiamen, China, Oct. 31-Nov. 2, 2025. Website: https://ic-mind.org/ 2025.10 General Chair, The 7th International Conference on New Trends in Computational Intelligence, Jinan, China, Oct. 17-19, 2025; Website: https://www.ntci.org/ 2025.08 TPC Chair, The 7th International Conference on Data-driven Optimization of Complex Systems, Taiyuan, China, Aug. 19-21, 2025. Website: https://www.ic-docs.org/ 2024.10 General Chair, The 6th International Conference on New Trends in Computational Intelligence, Qingdao, China, Oct. 18-20, 2024; Website: https://www.ntci.org/ 2023.11 General Chair, The 5th International Conference on New Trends in Computational Intelligence, Qingdao, China, November 3-5, 2023; Website: http://ntcien2023.upc.edu.cn/ 2023.10 Program Committee Member, The 2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC 2023), Oct. 20-22, 2023 in Shenzhen, China. 2022.12 General Chair, The 4th Internationl Symposium on New Trends in Computational Intelligence, Qingdao, China, General Chair, December 15-17, 2022; Website: http://ntcien2022.upc.edu.cn/ 2021.12 General Chair, The 3rd International Symposium on New Trends in Computational Intelligence (ISNTCI), December 10-12, 2021, Qingdao, Shandong, China. http://cilaben.sci.upc.edu.cn/_t1515/main.htm 2021.12 Symposium Chair, IEEE Symposium Series on Computational Intelligence- Explainable Data Analytics in Computational Intelligence (EDACI), December 4-7,2021, Orlando, Florida, USA. 2021.12 Publicity Chair, The 11th International Conference on Intelligent Control and Information Processing (ICICIP), December 3-7, 2021, Dali, Yunnan, China. 2020.12 Symposium Chair, IEEE Symposium Series on Computational Intelligence- Explainable Data Analytics in Computational Intelligence (EDACI), December 1-4, 2020, Canberra, Australia. 2019.12 Symposium Chair, IEEE Symposium Series on Computational Intelligence- Explainable Data Analytics in Computational Intelligence (EDACI), December 6-9, 2019, Xiamen, China. 2018.10 General Chair, The 2nd International Symposium on New Trends in Computational Intelligence (ISNTCI), October 19-20, 2018, Qingdao, Shandong, China. 2016.05 General Chair, The 1st International Symposium on New Trends in Computational Intelligence (ISNTCI), May 27-28, 2016, Qingdao, Shandong, China. 2014.06 Program Chair, The 13th International Conference on Artificial Intelligence and Soft Computing (ICAISC), June 1-5, 2014, Zakopane, Poland. |
