Chunling Dong

Courses Taught 

Artificial Intelligence (Bachelor Program), Natural language processing Technology and Practice (Master Program), Artificial Intelligence Method and Technology (Master Program), Artificial Intelligence Core Technology and Frontier (Doctoral Program)

Research Interest or 

Teaching Expertise

I have been employed in the fields of Uncertainty in Artificial Intelligence (UAI) and Explainable Artificial Intelligence (XAI), with interests in the construction and application of theoretical methods, such as casual knowledge expression in dynamic and complex systems, uncertainty logic reasoning and decision-making.

In 2022, I won the Second Prize in the 3rd Teaching Innovation Competition of Communication University of China, and in 2021 the course Artificial Intelligence awarded as a high-quality undergraduate course. I won the Second Prize in the 10th Young Teachers Teaching Skills Competition of Communication University of China in 2019, and the First Prize of the 8th Shandong Province Higher Education Teaching Achievement (as participant) in 2018. 

Self-Introduction 

I completed the postdoctoral research in Department of Computer Science and Technology, Tsinghua University in 2018, and received the Ph.D. degree in Computer Science and Technology from Beihang University in 2015. My services include Secretary-General of the Technical Committee for Uncertainty in Artificial Intelligence of the Chinese Association for Artificial Intelligence, reviewer of international journals, such as IEEE Transactions on Neural Networks and Learning Systems, Artificial Intelligence Review, and IEEE Transactions on Reliability, and expert of Technology the Answer for Active Health and Aging Key Special Implementation Plan and Guidance Preparation Group, National Key Research and Development Program, Ministry of Science and Education.

1. Chunling Dong, Jing Zhou. A New Algorithm of Cubic Dynamic Uncertain Causality Graph for Speeding up Temporal Causality Inference in Fault Diagnosis [J]. IEEE Transactions on Reliability, 2022.5, DOI: 10.1109/TR.2022.3170063.  (SCI  JCR-Q1 )

2. Chunling Dong, Qin Zhang. The Cubic Dynamic Uncertain Causality Graph: A Methodology for Temporal Process Modeling and Diagnostic Logic Inference [J]. IEEE Transactions on Neural Networks and Learning Systems.2020, 31(10): 4239-4253.( SCIJCR-Q1 )

3. Chunling Dong, Yanjun Wang, Jing Zhou, Qin Zhang, Ningyu Wang. Differential Diagnostic Reasoning Method for Benign Paroxysmal Positional Vertigo Based on Dynamic Uncertain Causality Graph [J].Computational and Mathematical Methods in Medicine.2020: 1541989.( SCI JCR-Q2 )

4. Chunling Dong, Zhenxu Zhou, Qin Zhang. Cubic Dynamic Uncertain Causality Graph: a new methodology for modeling and reasoning about complex faults with negative feedbacks [J]. IEEE Transactions on Reliability. 2018, 67(3):920-932.( SCIJCR-Q1 )

5. Chunling Dong, Yue Zhao, Qin Zhang. Assessing the influence of an individual event in complex fault spreading network based on Dynamic Uncertain Causality Graph [J]. IEEE Transactions on Neural Networks and Learning Systems.2016, 27(8):1615-1630.( SCIJCR-Q1 )

6. Chunling Dong, Qin Zhang. Identification of pivotal causes and spreaders in the time-varying fault propagation model to improve the decision making under abnormal situation [J]. Quality and Reliability Engineering International, 2016, 32(1):99-109.( SCI JCR-Q2 )

7. Chunling Dong, Yanjun Wang, Qin Zhang, Ningyu Wang. The methodology of Dynamic Uncertain Causality Graph for intelligent diagnosis of vertigo [J].Computer Methods and Programs in Biomedicine,2014, 113(1):162-174.( SCIJCR-Q1 )

8. Qin Zhang, Chunling Dong, Zhihui Yang, Yan Cui. Dynamic uncertain causality graph for knowledge representation and probabilistic reasoning: statistics base, matrix, and application [J]. IEEE Transactions on Neural Networks and Learning Systems. 2014, 25 (4): 645-663.( SCIJCR-Q1)

9. Chunling Dong, Yue Zhao, Qin Zhang. Stereoscopic causality modeling and uncertainty reasoning in dynamic fault diagnosis [J]. Journal of Tsinghua University, 2018, 58 (7): 614-622.( EI )

10. Chunling Dong, Qin Zhang. Weight logic reasoning algorithm for uncertainty fault diagnosis [J]. ACTA AUTOMATICA SINICA, 2014, 40(12): 2775-2789. ( EI )

11. Chunling Dong, Qin Zhang, Shichao Geng. A modeling and probabilistic reasoning method of dynamic uncertain causality graph for industrial fault diagnosis [J]. International Journal of Automation and Computing, 2014, 11(3):288-298.  ( EI )

Projects

Scientific Research Projects

1. An Uncertain Causality Reasoning Method of Cubic DUCG for Vertigo Disease Diagnosis and Prediction, National Natural Science Foundation of China General Project, 62176240, January 2022-December 2025, Principle Investigator, RMB 767,000.00

2. Reasoning and Decision-making Method of Complex System Fault Diagnosis Based on Dynamic Uncertain Causality Graph, National Natural Science Foundation of China Youth Project, 61402266, January 2015-December 2017, Principle Investigator, RMB 240,000.00

3. Dynamic Causality Modeling, Logic Reasoning and Control Strategy of Complicated Fault Propagation Network, China Postdoctoral Science Foundation (first-class funding), 2016M590099, May 2016-August 2018, Principle Investigator

4. Cubic DUCG Dynamic Causal Reasoning and Fault Propagation Control Method, Young Teachers Scientific Research Promotion Program of Communication University of China, CUC2019B023, April 2019-December 2020, Principle Investigator

5. Research on Intelligent Convergence Media Security System Based on Trusted Computing, Communication University of China National Key Research Team Training Program, CUC19ZD008, September 2019-December 2020, Participant

6. New Method of Probabilistic Safety Assessment Based on Dynamic Uncertain Causality Graph, National Natural Science Foundation of China General Project, 71671103, January 2017-December 2020, Participant, RMB 490,000.00

7. Construction and Reasoning Method of Cubic Dynamic Uncertain Causality Graph and Its Experimental Verification, National Natural Science Foundation of China General Project, 61273330, January 2013-December 2016, Participant, RMB 800,000.00

8. Network Traffic Modeling and Prediction Technology, Shandong Province Colleges and Universities Science and Technology Program, J09LG75, January 2011-December 2014, Principle Investigator

9. Cubic DUCG Theoretical Research for Intelligent Fault Diagnosis, Special Scientific Research Fund for Doctoral Program of the Ministry of Education, 20120002110037, January 2013- December 2016, Participant (the second place), RMB 120,000.00

Research and Development Project of China Kehua Nuclear Power Technology Research Institute, China General Nuclear Power Group, CNPRI-ST10P005, May 2010-December 2016, Participant (the second place), RMB 5,000,000.00

11. Nuclear Power Plant Operation Online Monitoring, Fault Prediction, Diagnostic Decision Support Intelligent System, Development Project of National Nuclear Safety Administration, Ministry of Environmental Protection, JD201567, January 2015-December 2016, Participant, RMB 1,500,000.00

12. Construction of Water Quality Safety Monitoring Network and Emergency Response System for Nansi Lake Water Delivery on the Eastern Line of the South-North Water Transfer Project, Sub-project of National Science and Technology Key Special Project, 2009ZX07210-07-01, January 2011-December 2013, Principle Investigator of sub topic, RMB 1,000,000.00

13. Dynamic Uncertain Causality Graph Theory for Fault Diagnosis and Safety Operation and Maintenance of Nuclear Power Plants, Foundation of Director of National Natural Science Foundation of China, 61050005, January 2011-December 2013, Participant, RMB 300,000.00

Teaching Innovation Projects

1. Construction of Ideological and Political Demonstration Course in the Course of Artificial Intelligence, Education and Teaching Reform Project of Communication University of China, JG23107013, 2023, Principle Investigator

2. Research on a New Method of Constructing a Process-Oriented Assessment based on Metacognitive Learning Experience, Education and Teaching Reform Project of Communication University of China, JG22157, 2022, Principle Investigator

3. Mooc Course Development of Artificial Intelligence Method and Technology, Graduate Education and Teaching Reform Project of Communication University of China, JG21155, 2021, Principle Investigator

Admission Requirements

Master Degree Candidates: proficient in English and Mathematics, pragmatic, enterprising, valuing teamwork.