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Guanghai Li

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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Journal Articles

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2026
[j6]
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  - journals/eaai/LiuCHL26
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  - https://dblp.org/rec/journals/eaai/LiuCHL26
Shanshan Liu, Liang Chang, Guanyu Hu, Guanghai Li:
A novel causal relationship-based evidential reasoning prediction method with a time parameter. Eng. Appl. Artif. Intell. 167: 113669 (2026)
[j5]
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  - journals/isci/TangLLLH26
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Lihong Tang, Lin Liu, Guanghai Li, Shiyu Li, Guan-Yu Hu:
A novel fault diagnosis method for complex systems based on belief rule base and average causal effect. Inf. Sci. 741: 123256 (2026)
[j4]
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  - journals/jcondec/LiLZTH26
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Guanghai Li, Shanshan Liu, Wenzhong Zhang, Jun Tan, Guan-Yu Hu:
Performance evaluation of SDN-based packet transport networks using PageRank-inspired evidential reasoning rule. J. Control. Decis. 13(4): 1019-1039 (2026)
2025
[j3]
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  - journals/ijsnet/YangLWGHC25
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Ming Yang, Guanghai Li, Jie Wang, Siyang Gao, Guanyu Hu, Manlin Chen:
Fault diagnosis for wireless sensor networks based on belief rule base with attributes computing. Int. J. Sens. Networks 47(4): 238-254 (2025)
2021
[j2]
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  - journals/eswa/ZhangLWL21a
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Chunxia Zhang, Junmin Liu, Guanwei Wang, Guanghai Li:
DPP-VSE: Constructing a variable selection ensemble by determinantal point processes. Expert Syst. Appl. 178: 115025 (2021)
2020
[j1]
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  - journals/tgrs/XuALZZL20
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Shuang Xu, Ouafa Amira, Junmin Liu, Chun-Xia Zhang, Jiangshe Zhang, Guanghai Li:
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss. IEEE Trans. Geosci. Remote. Sens. 58(7): 4618-4628 (2020)

Conference and Workshop Papers

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2006
[c1]
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  - conf/icarcv/YangQGJ06
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Yang Jiao, Qingxin Yang, Guanghai Li, Jingyan Zhang:
Acoustic Emission Source Identification Technique for Buried Gas Pipeline Leak. ICARCV 2006: 1-5

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Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.