Yiyuan Wang

ORCID: 0009-0001-2955-0896
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Research Areas
  • Stock Market Forecasting Methods
  • Topic Modeling
  • Advanced Text Analysis Techniques
  • Probabilistic and Robust Engineering Design
  • Erythrocyte Function and Pathophysiology
  • Nuclear Engineering Thermal-Hydraulics
  • Collaboration in agile enterprises
  • Corrosion Behavior and Inhibition
  • Extracellular vesicles in disease
  • Bone health and treatments
  • Genomics, phytochemicals, and oxidative stress
  • Financial Distress and Bankruptcy Prediction
  • Biomarkers in Disease Mechanisms
  • Advanced Multi-Objective Optimization Algorithms
  • Bone Metabolism and Diseases
  • Data Management and Algorithms
  • Recommender Systems and Techniques
  • Cognitive Computing and Networks
  • Chemical Synthesis and Characterization
  • Transition Metal Oxide Nanomaterials
  • Traffic Prediction and Management Techniques
  • Vitamin C and Antioxidants Research
  • TiO2 Photocatalysis and Solar Cells
  • Photodynamic Therapy Research Studies
  • Radioactive element chemistry and processing

Harbin Institute of Technology
2021-2025

University of Science and Technology of China
2025

Immune Regulation (United Kingdom)
2025

Response Biomedical (Canada)
2025

Gansu Provincial Hospital
2023-2025

Southern Medical University
2024

Xuzhou Medical College
2024

Dalian University of Technology
2023

Taishan University
2023

Guizhou Minzu University
2023

Abstract Background Doxorubicin (DOX) is a first-line chemotherapeutic drug for various malignancies that causes cardiotoxicity. Plant-derived exosome-like nanovesicles (P-ELNs) are growing as novel therapeutic agents. Here, we investigated the protective effects in DOX cardiotoxicity of ELNs from Momordica charantia L. (MC-ELNs), medicinal plant with antioxidant activity. Results We isolated MC-ELNs using ultracentrifugation and characterized them canonical mammalian extracellular vesicles...

10.1186/s12951-024-02705-z article EN cc-by Journal of Nanobiotechnology 2024-08-02

Generating financial reports from a piece of news is challenging task due to the lack sufficient background knowledge effectively generate long reports. To address this issue, paper proposes conditional variational autoencoders (CVAE) based approach which distills external set news-report data. Specifically, we design an encoder-decoder architecture learn latent variable distribution data provide knowledge. Next, teacher-student network employed distill refine output decoder component....

10.1109/tai.2024.3351594 article EN IEEE Transactions on Artificial Intelligence 2024-01-15

10.1109/icassp49660.2025.10889625 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

Photothermal immunotherapy (PTI) is valuable for precise tumor targeting and immune activation. However, its efficacy hindered by insufficient response, elevated antioxidant levels within tumor, intrinsic resistance mechanisms. This study introduces Vitamin C (VC), a widely available dietary nutrient, as an effective enhancer PTI. High-dose VC induces oxidative imbalance in cells, making them more susceptible to nanoenabled near-infrared-II photothermal therapy (NIR-II PTT) with the...

10.1021/acsnano.4c17080 article EN ACS Nano 2025-03-26

To detect the alleles of 12 blood group systems (Rh, MNS, Duffy, Kidd, Kell, Diego, Dombrock, Yt, Colton, Scianna, Lutheran and Lw) Dongxiang ethnic in Gansu province, understand characteristics rare common group, order to provide a basis for safe transfusion establishment gene bank. The were classified by polymerase chain reaction (PCR) 100 people from differences frequency compared other areas China analyzed. allele frequencies Rh, Dombrock province similar northern regions. Duffy system...

10.19746/j.cnki.issn.1009-2137.2025.02.036 article EN PubMed 2025-04-01

Integration of Raman imaging and positron emission tomography (PET) holds great promise for providing complementary information precise cancer diagnosis imaging-guided therapy. However, current existing Raman/PET dual-modal probes primarily rely on surface-enhanced scattering, raising clinical concerns about the biosafety substrates. Herein, we developed a novel substrate-free probe-[18F]-AS-DPPT-TT NPs, which integrates biocompatible polymer DPPT-TT that possesses strong signals...

10.1021/acsami.5c03752 article EN ACS Applied Materials & Interfaces 2025-05-13

Automatically generating financial report from a piece of news is quite challenging task. Apparently, the difficulty this task lies in lack sufficient background knowledge to effectively generate long report. To address issue, paper proposes conditional variational autoencoders (CVAE) based approach which distills external corpus news-report data. Experimental results demonstrate that proposed could achieve SOTA performance.

10.1609/aaai.v35i18.17936 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2021-05-18

10.1109/smc54092.2024.10831939 article EN 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2024-10-06

To investigate a case of delayed hemolytic transfusion reaction (DHTR), and find the reason coping strategies to prevent similar incidents in future.Relative antibody identification was carried out, suitable erythrocytes screened, relevant indicators after were evaluated. Medical record laboratory report patient reviewed, cause analyzed, corresponding treatment out.The suffered from DHTR caused by IgM anti-M low body temperature cardiopulmonary bypass. After anti-hemolytic treatment,...

10.19746/j.cnki.issn.1009-2137.2023.04.036 article EN PubMed 2023-08-08

In the systematic project of school-enterprise cooperation(SEC) with synergistic cooperation multi-subjects, SEC model, as overall guiding strategy, is particularly important for its scientific construction and should be included in framework synergy theory. Based on this, this paper investigates model vocational education under theory order to provide a idea model.In achieve purpose, introduces concepts supply chain knowledge management into SEC, analyzed subject categories contents from...

10.54097/ijeh.v11i3.14465 article EN cc-by International Journal of Education and Humanities 2023-11-30

Automatically generating financial report from a piece of news is quite challenging task. Apparently, the difficulty this task lies in lack sufficient background knowledge to effectively generate long report. To address issue, paper proposes conditional variational autoencoders (CVAE) based approach which distills external corpus news-report data. Particularly, we choose Bi-GRU as encoder and decoder component CVAE, learn latent variable distribution input news. A higher level learnt set...

10.48550/arxiv.2010.12188 preprint EN other-oa arXiv (Cornell University) 2020-01-01
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