Qing Yu

ORCID: 0000-0003-2513-2969
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About
Contact & Profiles
Research Areas
  • Urban Transport and Accessibility
  • Transportation Planning and Optimization
  • Human Mobility and Location-Based Analysis
  • Transportation and Mobility Innovations
  • Color Science and Applications
  • Traffic Prediction and Management Techniques
  • Advanced Neural Network Applications
  • Anaerobic Digestion and Biogas Production
  • Gamma-ray bursts and supernovae
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Anomaly Detection Techniques and Applications
  • Image Enhancement Techniques
  • Color perception and design
  • Machine Learning and Data Classification
  • Cloud Computing and Resource Management
  • Urban and Freight Transport Logistics
  • SAS software applications and methods
  • Electric Vehicles and Infrastructure
  • Industrial Vision Systems and Defect Detection
  • Video Surveillance and Tracking Methods
  • Topic Modeling
  • Impact of Light on Environment and Health
  • Simulation and Modeling Applications
  • Wastewater Treatment and Nitrogen Removal

Tongji University
2011-2024

Shanghai Tenth People's Hospital
2022-2024

Henan Agricultural University
2021-2024

Shanghai Jiao Tong University
2019-2024

Southern University of Science and Technology
2022-2024

Xinjiang University
2011-2024

Peking University
2024

Tianjin University
2007-2024

Anhui University of Science and Technology
2024

Qingdao University
2024

Since deep learning models have been implemented in many commercial applications, it is important to detect out-of-distribution (OOD) inputs correctly maintain the performance of models, ensure quality collected data, and prevent applications from being used for other-than-intended purposes. In this work, we propose a two-head convolutional neural network (CNN) maximize discrepancy between two classifiers OOD inputs. We train CNN consisting one common feature extractor which different...

10.1109/iccv.2019.00961 article EN 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 2019-10-01

Improving access to health care services for the medically under-served population is vital ensure that critical illness can be addressed immediately. In scenarios where there a severely lacking of skilled medical staff, basic lung sound classification through digital stethoscope used provide an immediate diagnostic respiratory-related diseases such as chronic obstructive pulmonary. this work, we have developed improved bi-ResNet deep learning architecture, LungBRN, which uses STFT and...

10.1109/biocas.2019.8919021 article EN 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) 2019-10-01

Biomass plays a crucial role in mitigating the concerns associated with increasing fossil fuel combustion. Among various types of biomass, forest biomass has attracted considerable attention given its abundance and variations. In this work, an overview is presented on different pathways available to convert into bioenergy. Direct use could reduce carbon dioxide emissions conventional energy production systems. However, there are certain drawbacks direct such as low conversion rate soot...

10.3389/fenrg.2021.684234 article EN cc-by Frontiers in Energy Research 2021-07-02

Yu et al., (2022). TransBigData: A Python package for transportation spatio-temporal big data processing, analysis and visualization. Journal of Open Source Software, 7(71), 4021, https://doi.org/10.21105/joss.04021

10.21105/joss.04021 article EN cc-by The Journal of Open Source Software 2022-03-03

There are large amounts of waste activated sludge (WAS) and kitchen (KW) produced every year in China. It has been confirmed that anaerobic co-digestion is an effective method to solve this problem. The targets the present study were optimizing digestive performances clearing mechanism bentonite addition by adding into system. Group M (WAS: KW = 1:2, based on VS) presented higher cumulative methane yield (CMY), where CMY increased from 19.8 36.3 mL/g VS with dosage 0 2 g/g VS. After...

10.1371/journal.pone.0218856 article EN cc-by PLoS ONE 2019-07-10

Solar PV has seen a spectacular market development in recent years and become cost competitive source of electricity many parts the world. Yet, prospective observations show that coronavirus pandemic could impact renewable energy projects, especially distributed market. Tracking attributing economic footprint COVID-19 lockdowns photovoltaic sector poses significant research challenge. Based on millions financial transaction records 44 thousand installation records, we tracked spatio-temporal...

10.1016/j.apenergy.2020.116341 article EN cc-by Applied Energy 2021-01-02

Extracellular DNA traps (ETs) represent an immune response by which cells release essential materials like chromatin and granular proteins. Previous studies have demonstrated that the transdifferentiation of vascular smooth muscle (VSMCs) plays a crucial role in atherosclerosis. This study seeks to investigate interaction between CD68+ VSMCs formation ETs highlight its function Here we show are inhibited, atherosclerotic plaque is alleviated male Myh11CrePad4flox/flox mice undergoing...

10.1038/s41467-022-35330-1 article EN cc-by Nature Communications 2022-12-06
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