User profiles for Yuqing Gao
Yuqing GaoAssociate Professor at Tongji University Verified email at tongji.edu.cn Cited by 1175 |
Deep transfer learning for image‐based structural damage recognition
Y Gao, KM Mosalam - Computer‐Aided Civil and Infrastructure …, 2018 - Wiley Online Library
This article implements the state‐of‐the‐art deep learning technologies for a civil engineering
application, namely recognition of structural damage from images. Inspired by ImageNet …
application, namely recognition of structural damage from images. Inspired by ImageNet …
Industry-scale Knowledge Graphs: Lessons and Challenges: Five diverse technology companies show how it's done
This article looks at the knowledge graphs of five diverse tech companies, comparing the
similarities and differences in their respective experiences of building and using the graphs, …
similarities and differences in their respective experiences of building and using the graphs, …
Balanced semisupervised generative adversarial network for damage assessment from low‐data imbalanced‐class regime
In recent years, applying deep learning (DL) to assess structural damages has gained
growing popularity in vision‐based structural health monitoring (SHM). However, both data …
growing popularity in vision‐based structural health monitoring (SHM). However, both data …
Deep leaf‐bootstrapping generative adversarial network for structural image data augmentation
Y Gao, B Kong, KM Mosalam - Computer‐Aided Civil and …, 2019 - Wiley Online Library
Employing Deep Learning (DL) technologies to solve Civil Engineering problems is an
emerging topic in recent years. However, due to the lack of labeled data, it is difficult to obtain …
emerging topic in recent years. However, due to the lack of labeled data, it is difficult to obtain …
Influence of filler size on the properties of poly (lactic acid)(PLA)/graphene nanoplatelet (GNP) nanocomposites
Poly(lactic acid) (PLA) composites reinforced with two types of graphite nanoplatelets varying
in lateral size - small (GNP-S) and large (GNP-L) - were produced via melt compounding. …
in lateral size - small (GNP-S) and large (GNP-L) - were produced via melt compounding. …
Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges
Y Zheng, Y Gao, S Lu… - Computer‐Aided Civil and …, 2022 - Wiley Online Library
… Yuqing Gao and Yue Zheng contributed equally to this work, and should be considered …
Gao et al. (2021) proposed a balanced semisupervised GAN (BSS-GAN) method by adopting …
Gao et al. (2021) proposed a balanced semisupervised GAN (BSS-GAN) method by adopting …
[PDF][PDF] Incremental on-line feature space MLLR adaptation for telephony speech recognition.
Y Li, H Erdogan, Y Gao, E Marcheret - INTERSPEECH, 2002 - isca-archive.org
In this paper, we present a method for incremental on-line adaptation based on feature
space Maximum Likelihood Linear Regression (FMLLR) for telephony speech recognition …
space Maximum Likelihood Linear Regression (FMLLR) for telephony speech recognition …
[HTML][HTML] Intraocular pressure measurement by radio wave telemetry
…, FR Zakka, FA Jakobiec, Y Gao… - … & visual science, 2011 - jov.arvojournals.org
Purpose.: To determine the biocompatibility of a new wireless intraocular pressure (IOP)
transducer (WIT) in rabbit eyes and to correlate its measurements with other pressure-…
transducer (WIT) in rabbit eyes and to correlate its measurements with other pressure-…
[HTML][HTML] Pharmacological activities and mechanisms of hirudin and its derivatives-a review
…, L Gangmin, Y Yanpeng, C Xiaoyu, G Yuqing… - Frontiers in …, 2021 - frontiersin.org
Hirudin, an acidic polypeptide secreted by the salivary glands of Hirudo medicinalis (also
known as “Shuizhi” in traditional Chinese medicine), is the strongest natural specific inhibitor of …
known as “Shuizhi” in traditional Chinese medicine), is the strongest natural specific inhibitor of …
Deep learning‐based bolt loosening detection for wind turbine towers
Bolt loosening is a critical factor that triggers collapse of wind turbine tower structures, and a
fast and accurate bolt loosening detection is of significant importance. This paper proposes …
fast and accurate bolt loosening detection is of significant importance. This paper proposes …