Yuqing Liu

ORCID: 0000-0001-9828-5646
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About
Contact & Profiles
Research Areas
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Multi-Criteria Decision Making
  • Microbial Applications in Construction Materials
  • Advanced Measurement and Detection Methods
  • Geological and Geophysical Studies
  • Recommender Systems and Techniques
  • Hydrocarbon exploration and reservoir analysis
  • Orthoptera Research and Taxonomy
  • Sparse and Compressive Sensing Techniques
  • Technology Adoption and User Behaviour
  • Selenium in Biological Systems
  • Brain Tumor Detection and Classification
  • Topic Modeling
  • Image Enhancement Techniques
  • Arsenic contamination and mitigation
  • Photoacoustic and Ultrasonic Imaging
  • Digital Media Forensic Detection

Harbin Medical University
2025

First Affiliated Hospital of Harbin Medical University
2025

Virginia Tech
2022-2024

University of Illinois Chicago
2022-2024

Shanghai Ocean University
2022-2024

First Affiliated Hospital of GuangXi Medical University
2024

Guangxi Medical University
2024

Dalian University of Technology
2017-2023

Northeast Electric Power University
2023

Space Engineering University
2023

A new species, Ornebius apterus sp. nov., is described from Guangdong, China. This wingless species monophyletic with spp., which are all singing species. The type specimens deposited in East China Normal University, Biology of History Museum (ECNU).

10.11646/zootaxa.4388.4.10 article EN Zootaxa 2018-03-06

One new species, Paratrigonidium chloropodum sp. nov., is described from Hainan, China. The type specimens are deposited in East China Normal University, Biology of History Museum (ECNU). S. venustula moved to genus as P. venustulum comb. nov. vittatum Brunner von Wattenwyl, 1893 syn. the junior synonym venustulum.

10.11646/zootaxa.4363.1.5 article EN Zootaxa 2017-12-08

Previous studies have suggested that multiwalled carbon nanotubes (MWCNTs) promote plant growth; however, the mechanism is yet to be fully understood. In this study, effects of MWCNTs (20, 100, and 500 mg/L) on (C) nitrogen (N) metabolism in maize were studied explore molecular action plants. The results showed 100 mg/L increased shoot fresh dry weight, root seedling length while other doses no significant effects. Further chlorophyll content, transpiration rate, stomatal conductance,...

10.1021/acs.jafc.1c00733 article EN Journal of Agricultural and Food Chemistry 2021-04-26

It is challenging to restore low-resolution (LR) images super-resolution (SR) with correct and clear details. Existing deep learning works almost neglect the inherent structural information of images, which acts as an important role for visual perception SR results. In this paper, we design a hierarchical feature exploitation network probe preserve in multi-scale fusion manner. First, propose cross convolution upon traditional edge detectors localize represent features. Then, blocks (CCBs)...

10.1109/tcsvt.2021.3138431 article EN IEEE Transactions on Circuits and Systems for Video Technology 2021-12-24

This paper introduces a novel benchmark for efficient up-scaling as part of the NTIRE 2023 Real-Time Image Super-Resolution (RTSR) Challenge, which aimed to upscale images from 720p and 1080p resolution native 4K (×2 ×3 factors) in real-time on commercial GPUs. For this, we use new test set containing diverse ranging digital art gaming photography. We assessed methods devised SR by measuring their runtime, parameters, FLOPs, while ensuring minimum PSNR fidelity over Bicubic interpolation....

10.1109/cvprw59228.2023.00154 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023-06-01

A real-time tuna detection network on mobile devices is a common tool for accurate catch statistics. However, most object models have multiple parameters, and normal difficulties in satisfying detection. Based YOLOv3, this paper proposes Tuna-YOLO, which lightweight devices. Firstly, following comparison of the performance various backbone networks, MobileNet v3 was used as structure to reduce number parameters calculations. Secondly, SENET module replaced with CBAM attention further improve...

10.3390/jmse11030542 article EN cc-by Journal of Marine Science and Engineering 2023-03-02

Little is known about the role of timing physical activity in female reproductive disorders. These disorders include polycystic ovary syndrome (PCOS), heavy menstrual bleeding (HMB), endometriosis, infertility, and pregnancy-related This study aims to investigate associations patterns with diseases. A total 49,540 participants from UK Biobank valid accelerometer data were enrolled at baseline. Activity defined based on moderate-to-vigorous intensity (MVPA) throughout day. Participants...

10.1186/s12889-025-21576-z article EN cc-by-nc-nd BMC Public Health 2025-01-24

Exploring the biogeographic patterns of soil microbial diversity is critical for understanding mechanisms underlying response processes to climate change. Using top- and subsoils from an ∼1,500-km temperate grassland transect, we find divergent its determinants in topsoil versus subsoil. Furthermore, important direct legacy effects historical change on subsoil yet indirect topsoil. Our findings challenge conventional assumption similar geographic along profiles help improve our how...

10.1128/msystems.00566-19 article EN cc-by mSystems 2019-09-30

Single image super-resolution (SISR), as a traditional ill-conditioned inverse problem, has been greatly revitalized by the recent development of convolutional neural networks (CNN). These CNN-based methods generally map low-resolution to its corresponding high-resolution version with sophisticated network structures and loss functions, showing impressive performances. This paper provides new insight on conventional SISR algorithm, proposes substantially different approach relying iterative...

10.1109/tmm.2021.3078615 article EN IEEE Transactions on Multimedia 2021-05-10

Anomaly detection is indispensable in modern IT infrastructure management. However, the dimension explosion problem of monitoring data (large-scale machines, many key performance indicators, and frequent queries) causes a scalability issue to existing algorithms. We propose coarse-to-fine model transfer based framework CTF achieve scalable accurate data-center-scale anomaly detection. pre-trains coarse-grained model, uses extract compress per-machine features distribution, clusters machines...

10.1109/infocom42981.2021.9488755 article EN IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2021-05-10

Blueberry has high nutritional value and is favored by consumers, so the planting area increasing. However, due to influence of climate conditions edaphic environment, achieving production healthy growth blueberries become a major problem. In this study, we collected soil blueberry plants which had normal limited determine underlying causes poor characterizing pH, EC, enzyme activities microbiome, plant properties, root metabolites. The results showed that pH rhizosphere was less than 6.0 in...

10.3390/agronomy12061263 article EN cc-by Agronomy 2022-05-25
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