EDBT 2026 Demo / reviewers in the wild / expert
Zuhua Jiang
dblp:20/3788
· DBLP profile ↗
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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | TSAE: A teacher-student transformer autoencoder for restoration of fNIRS signals with channel contribution weights analysis
Zuhua Jiang |
Adv. Eng. Informatics | 2 |
| 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. Informatics | 1 |
| 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. Informatics | 2 |
| 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. Informatics | 1 |
| 2021 | Cognitive factors of the transfer of empirical engineering knowledge: A behavioral and fNIRS study
Fuhua Wang, Zuhua Jiang, Xinyu Li 0005 |
Adv. Eng. Informatics | 2 |
| 2021 | How to Accumulate Empirical Engineering Knowledge in the Complex Problem-Solving Process for Novice EngineersabstractComplex 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. Informatics | 2 |
| 2017 | Long-term knowledge evolution modeling for empirical engineering knowledge
Xinyu Li 0005, Zuhua Jiang |
Adv. Eng. Informatics | 2 |
| 2016 | Automated experiential engineering knowledge acquisition through Q&A contextualization and transformation
Zuhua Jiang |
Adv. Eng. Informatics | 2 |
| 2014 | A Task-Aware Empirical Know-How Map Built on Domain Q&A
Zuhua Jiang |
KEOD | 2 |
| 2013 | Proactive search enabled context-sensitive knowledge supply situated in computer-aided engineering
Zuhua Jiang |
Adv. Eng. Informatics | 2 |
| 2012 | A Context Sensitive Experience Feeder for Computer Aided Engineering
Zuhua Jiang |
KEOD | 2 |
| 2011 | Developing a dynamic rolling-horizon decision strategy for yard crane scheduling
Daofang Chang, Zuhua Jiang, Wei Yan 0001, Junliang He |
Adv. Eng. Informatics | 2 |
| 2010 | Distributed recommender for peer-to-peer knowledge sharing
Lu Zhen, Zuhua Jiang |
Inf. Sci. | 2 |