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Qin Zhang 0007
Person information
- affiliation: Tsinghua University, Institute of Nuclear and New Energy Technology, Beijing, China
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
- affiliation: Beihang University, School of Computer Science and Engineering, Beijing, China
Other persons with the same name
- Qin Zhang — disambiguation page
- Qin Zhang 0001
— Indiana University Bloomington, Computer Science Department, IN, USA (and 3 more)
- Qin Zhang 0002 — University of Luxembourg
- Qin Zhang 0003 — Dartmouth College, Hanover, NH, USA
- Qin Zhang 0004 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Qin Zhang 0005 — The University of Texas at Austin, USA (and 1 more)
- Qin Zhang 0006
- Qin Zhang 0008
- Qin Zhang 0009
- Qin Zhang 0010
- Qin Zhang 0011
- Qin Zhang 0012
- Qin Zhang 0013
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2020 – today
- 2024
- [j22]Zhang Zhang, Qin Zhang, Yang Jiao, Lin Lu, Lin Ma, Aihua Liu, Xiao Liu, Juan Zhao, Yajun Xue, Bing Wei, Mingxia Zhang, Ru Gao, Hong Zhao, Jie Lu, Fan Li, Yang Zhang, Yiming Wang, Lei Zhang, Fengwei Tian, Jie Hu, Xin Gou:
Methodology and real-world applications of dynamic uncertain causality graph for clinical diagnosis with explainability and invariance. Artif. Intell. Rev. 57(6): 151 (2024) - [i1]Zhang Zhang, Qin Zhang, Yang Jiao, Lin Lu, Lin Ma, Aihua Liu, Xiao Liu, Juan Zhao, Yajun Xue, Bing Wei, Mingxia Zhang, Ru Gao, Hong Zhao, Jie Lu, Fan Li, Yang Zhang, Yiming Wang, Lei Zhang, Fengwei Tian, Jie Hu, Xin Gou:
Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance. CoRR abs/2406.05746 (2024) - 2022
- [j21]Zhan Zhang
AI-aided general clinical diagnoses verified by third-parties with dynamic uncertain causality graph extended to also include classification. Artif. Intell. Rev. 55(6): 4485-4521 (2022) - [j20]Xusong Bu
An Industrial Fault Diagnostic System Based on a Cubic Dynamic Uncertain Causality Graph. Sensors 22(11): 4118 (2022) - 2021
- [j19]Kun Qiu
The M-DUCG Methodology to Calculate the Joint Probability Distribution of Directed Cycle Graph With Local Data and Domain Causal Knowledge. IEEE Access 9: 36087-36099 (2021) - [j18]Hao Nie
A New Inference Algorithm of Dynamic Uncertain Causality Graph Based on Conditional Sampling Method for Complex Cases. IEEE Access 9: 94523-94536 (2021) - [j17]Qin Zhang
Dynamic uncertain causality graph for computer-aided general clinical diagnoses with nasal obstruction as an illustration. Artif. Intell. Rev. 54(1): 27-61 (2021) - 2020
- [j16]Xusong Bu
A General Outpatient Triage System Based on Dynamic Uncertain Causality Graph. IEEE Access 8: 93249-93263 (2020) - [j15]Chunling Dong
Differential Diagnostic Reasoning Method for Benign Paroxysmal Positional Vertigo Based on Dynamic Uncertain Causality Graph. Comput. Math. Methods Medicine 2020: 1541989:1-1541989:13 (2020) - [j14]Chunling Dong
The Cubic Dynamic Uncertain Causality Graph: A Methodology for Temporal Process Modeling and Diagnostic Logic Inference. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4239-4253 (2020)
2010 – 2019
- 2018
- [j13]Qin Zhang
Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Utilization of Statistical Data and Domain Knowledge in Complex Cases. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1637-1651 (2018) - [j12]Chunling Dong
Cubic Dynamic Uncertain Causality Graph: A New Methodology for Modeling and Reasoning About Complex Faults With Negative Feedbacks. IEEE Trans. Reliab. 67(3): 920-932 (2018) - 2017
- [j11]Zhenxu Zhou, Qin Zhang:
Model Event/Fault Trees With Dynamic Uncertain Causality Graph for Better Probabilistic Safety Assessment. IEEE Trans. Reliab. 66(1): 178-188 (2017) - 2016
- [j10]Chunling Dong
Identification of Pivotal Causes and Spreaders in the Time-Varying Fault Propagation Model to Improve the Decision Making under Abnormal Situation. Qual. Reliab. Eng. Int. 32(1): 99-109 (2016) - [j9]Chunling Dong
Assessing the Influence of an Individual Event in Complex Fault Spreading Network Based on Dynamic Uncertain Causality Graph. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1615-1630 (2016) - [j8]Qin Zhang
Dynamic Uncertain Causality Graph Applied to Dynamic Fault Diagnoses and Predictions With Negative Feedbacks. IEEE Trans. Reliab. 65(2): 1030-1044 (2016) - 2015
- [j7]Qin Zhang
Dynamic Uncertain Causality Graph for Knowledge Representation and Probabilistic Reasoning: Directed Cyclic Graph and Joint Probability Distribution. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1503-1517 (2015) - [j6]Qin Zhang
Dynamic Uncertain Causality Graph Applied to Dynamic Fault Diagnoses of Large and Complex Systems. IEEE Trans. Reliab. 64(3): 910-927 (2015) - [j5]Qin Zhang
Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Continuous Variable, Uncertain Evidence, and Failure Forecast. IEEE Trans. Syst. Man Cybern. Syst. 45(7): 990-1003 (2015) - 2014
- [j4]Chunling Dong
The methodology of Dynamic Uncertain Causality Graph for intelligent diagnosis of vertigo. Comput. Methods Programs Biomed. 113(1): 162-174 (2014) - [j3]Chunling Dong
A Modeling and Probabilistic Reasoning Method of Dynamic Uncertain Causality Graph for Industrial Fault Diagnosis. Int. J. Autom. Comput. 11(3): 288-298 (2014) - [j2]Qin Zhang
Dynamic Uncertain Causality Graph for Knowledge Representation and Probabilistic Reasoning: Statistics Base, Matrix, and Application. IEEE Trans. Neural Networks Learn. Syst. 25(4): 645-663 (2014) - 2013
- [c1]Chunling Dong
An adaptive decision method using structure feature analysis on dynamic fault propagation model. ICMLC 2013: 664-669 - 2012
- [j1]Qin Zhang:
Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Discrete DAG Cases. J. Comput. Sci. Technol. 27(1): 1-23 (2012)
Coauthor Index
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last updated on 2024-12-11 20:45 CET by the dblp team
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