Yutong Wu

ORCID: 0000-0003-4771-9461
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About
Contact & Profiles
Research Areas
  • Atmospheric chemistry and aerosols
  • Air Quality and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Vehicle emissions and performance
  • Evolutionary Algorithms and Applications
  • Advanced Sensor and Energy Harvesting Materials
  • Advanced Photocatalysis Techniques
  • Bone Tissue Engineering Materials
  • Gut microbiota and health
  • Adversarial Robustness in Machine Learning
  • Satellite Communication Systems
  • Pancreatic function and diabetes
  • Metaheuristic Optimization Algorithms Research
  • Spinal Cord Injury Research
  • Advanced Wireless Communication Technologies
  • Electric Motor Design and Analysis
  • Power Line Communications and Noise
  • Aldose Reductase and Taurine
  • Digital Media Forensic Detection
  • Advanced Battery Technologies Research
  • Electric Power Systems and Control
  • Autonomous Vehicle Technology and Safety
  • Cervical Cancer and HPV Research
  • Selenium in Biological Systems
  • Covalent Organic Framework Applications

Guangdong Medical College
2024-2025

Xi'an University of Architecture and Technology
2025

Nantong University
2025

Institute of Computing Technology
2024

Chinese Academy of Sciences
2024

Nankai University
2023-2024

Jiangsu Normal University
2024

National University of Defense Technology
2022-2024

University of Kent
2023-2024

State Grid Corporation of China (China)
2024

Abstract. The characteristics of n-alkanes and the contributions various sources fine particulate matter (PM2.5) in atmosphere Beijing were investigated. PM2.5 samples collected at Minzu University China between November 2020 October 2021, analyzed by gas chromatography mass spectrometry. A positive matrix factorization analysis model source indices (the main carbon peaks, preference indices, plant wax contribution ratios) used to identify n-alkanes, determine different sources, explain...

10.5194/acp-23-3015-2023 article EN cc-by Atmospheric chemistry and physics 2023-03-07

Although recent personalization methods have democratized high-resolution image synthesis by enabling swift concept acquisition with minimal examples and lightweight computation, they also present an exploitable avenue for highly accessible backdoor attacks. This paper investigates a critical unexplored aspect of text-to-image (T2I) diffusion models - their potential vulnerability to attacks via personalization. By studying the prompt processing popular (epitomized Textual Inversion...

10.1609/aaai.v38i19.30110 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

Augmented reality (AR) technology has rapidly developed in recent years. This is widely used various fields, including museum exhibitions, where people use it to experience art a new way. While AR aims realize the interaction between virtual world and real world, museums develop digital artwork from artifacts. When text descriptions are no longer attractive audience, need add more sound effects images video dynamics sustainable way for industry’s future. For continued of such better...

10.3390/systems10030073 article EN cc-by Systems 2022-06-01

Titanium (Ti) is now widely used as implant material due to its excellent mechanical properties and superior biocompatibilities, while inert bioactivities might lead insufficient osseointegration, limit performance in dental applications.We introduced a robust simple approach of modifying titanium surfaces with polysaccharide complexes. samples were subjected hydrothermal treatment create uniform porous structure on the surface, followed by coating bioinspired self-assembly polydopamine...

10.1186/s40824-023-00361-2 article EN cc-by Biomaterials Research 2023-02-09

Traditional obstacle avoidance algorithms usually use a single shallow application, such as sensor-based distance measurement or some logic judgment algorithm, which leads to problems the need manually adjust parameters first, inability recognize complex unknown environments, and recognition errors caused by significant noise errors. Therefore, overcome these limitations, this paper combines convolutional neural network algorithms. A model of method based on established in paper, puts...

10.1177/16878132251314326 article EN cc-by Advances in Mechanical Engineering 2025-02-01

With the increase in ozone (O3) concentrations multiple cities or regions worldwide recent years, accurate source apportionment methods of its key precursor VOCs have been acquired increasing attention. Chemical reactive losses ambient a long-term issue yet to be resolved VOC analyses research. Thus, we systematically assessed common and existing issues ways reduce loss impacts studies by reviewing relevant publications suggests research directions for improved apportionments. Compared any...

10.5194/egusphere-egu25-2700 preprint EN 2025-03-14

The profound fusion of reconfigurable intelligent surfaces (RIS) with non-orthogonal multiple access (NOMA) holds the potential to substantially boost data transmission rates within Internet-of-Medical-Things (IoMT). However, a notable concern arises from utilization successive interference cancellation (SIC) technology by NOMA users in IoMT networks, which raises privacy challenges when dealing substantial number ecosystem. This paper introduces groundbreaking approach leveraging RIS...

10.1109/tce.2024.3349618 article EN IEEE Transactions on Consumer Electronics 2024-01-04
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