Zuhua Jiang

dblp:20/3788 · DBLP profile ↗
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14ranked-venue papers in the field
2as first author
6since 2021 · last 2026
ORCID · conflict

Domains — venue-derived; a paper can count in several

Other / Interdisciplinary · 10 (2 first)Knowledge Engineering, Semantic Web & Information Systems · 4
YearPublicationVenuePosition
2026 TSAE: A teacher-student transformer autoencoder for restoration of fNIRS signals with channel contribution weights analysis
Zuhua Jiang
Adv. Eng. Informatics2
2025 Noise-robust compound fault feature extraction of variable speed rotating machinery via an amplitude modulation-driven decomposition framework
Zuhua Jiang, Fucai Li
Adv. Eng. Informatics1
2022 A hypernetwork-based context-aware approach for design lesson-learned knowledge proactive feedback in design for manufacturing
Yongjun Ji, Zuhua Jiang, Xinyu Li 0005, Yongwen Huang
Adv. Eng. Informatics2
2021 A heuristic optimization approach for multi-vehicle and one-cargo green transportation scheduling in shipbuilding
Zuhua Jiang, Yini Chen, Xinyu Li 0005, Baihe Li
Adv. Eng. Informatics1
2021 Cognitive factors of the transfer of empirical engineering knowledge: A behavioral and fNIRS study
Fuhua Wang, Zuhua Jiang, Xinyu Li 0005
Adv. Eng. Informatics2
2021 How to Accumulate Empirical Engineering Knowledge in the Complex Problem-Solving Process for Novice Engineers
abstract
Complex problem solving is recognized as an important resource of empirical knowledge accumulation. Learners can acquire and consolidate their empirical knowledge based on practical experience in the complex problem solving. Although many studies on complex problem solving have documented the effects of problem solving on knowledge accumulation, few have addressed the detailed process of empirical knowledge accumulation in the complex problem solving. The purpose of this study is to explore the process of novices' empirical knowledge accumulation in solving complex problem. A multi-stage experiment based on a real-world engineering problem is presented in the study. By means of analysis of the difference between novice and experts, a novel concept of “inflection point” and a novel “four period novices' empirical knowledge accumulation curve” are presented, which can be used to explain the novices' empirical knowledge accumulation process in solving complex problem.
Zuhua Jiang
Int. J. Knowl. Manag.2
2019 Fostering the transfer of empirical engineering knowledge under technological paradigm shift: An experimental study in conceptual design
Xinyu Li 0005, Zuhua Jiang, Yeqin Guan, Fuhua Wang
Adv. Eng. Informatics2
2017 Long-term knowledge evolution modeling for empirical engineering knowledge
Xinyu Li 0005, Zuhua Jiang
Adv. Eng. Informatics2
2016 Automated experiential engineering knowledge acquisition through Q&A contextualization and transformation
Zuhua Jiang
Adv. Eng. Informatics2
2014 A Task-Aware Empirical Know-How Map Built on Domain Q&A
Zuhua Jiang
KEOD2
2013 Proactive search enabled context-sensitive knowledge supply situated in computer-aided engineering
Zuhua Jiang
Adv. Eng. Informatics2
2012 A Context Sensitive Experience Feeder for Computer Aided Engineering
Zuhua Jiang
KEOD2
2011 Developing a dynamic rolling-horizon decision strategy for yard crane scheduling
Daofang Chang, Zuhua Jiang, Wei Yan 0001, Junliang He
Adv. Eng. Informatics2
2010 Distributed recommender for peer-to-peer knowledge sharing
Lu Zhen, Zuhua Jiang
Inf. Sci.2