DV
Domagoj Vnucec
cs.SDeess.AScs.AIcs.LGcs.CVeess.SP
On Valency
published · living versionsW_hj6p3qxv·v1 · currentpublished
Physical-Variable-Informed Deep Learning for Robust Diagnosis in Industrial Fluid Transport Systems
with Yu Sha, Junqi Tao, Dixin Zhou, Horst Stoecker +2
1 version
Preprints & journals
8 papers in the corpus · 2022–2026Physical Operating-Condition-Guided Vision-Language Matching for Cavitation Diagnosis in Industrial Pipeline Systems2610.27860v1 · Yu Sha, Junqi Tao, Deyu Wang et al.2026 · 0 citationsarXiv
Physical-Variable-Informed Deep Learning for Robust Diagnosis in Industrial Fluid Transport Systems2610.27891v1 · Yu Sha, Junqi Tao, Dixin Zhou et al.2026 · 0 citationsarXivon Valency
Deep Hierarchical Knowledge Loss for Fault Intensity Diagnosis2604.16459v1 · Yu Sha, Shuiping Gou, Bo Liu et al.2026 · 0 citationsarXiv
Hierarchical knowledge guided fault intensity diagnosis of complex industrial systems2508.12375v1 · Yu Sha, Shuiping Gou, Bo Liu et al.2025 · 5 citationsIn Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD 2024)
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals2203.01118v2 · Yu Sha, Johannes Faber, Shuiping Gou et al.2022 · 30 citationsEngineering Applications of Artificial Intelligence, 113 (2022), 104904
SMTNet: Hierarchical cavitation intensity recognition based on sub-main transfer network2203.01429v4 · Yu Sha, Johannes Faber, Shuiping Gou et al.2022 · 0 citationsarXiv
An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering2202.13226v2 · Yu Sha, Johannes Faber, Shuiping Gou et al.2022 · 31 citationsMeasurement 192 (2022), 110897
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space2202.13245v1 · Yu Sha, Johannes Faber, Shuiping Gou et al.2022 · 7 citationsKDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2022
Career total: 11 works. 8 are in this corpus.
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