Hongxin Zhi

ORCID: 0009-0008-5235-7243
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About
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Research Areas
  • Nanoparticles: synthesis and applications
  • Nanoparticle-Based Drug Delivery
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Protein Interaction Studies and Fluorescence Analysis
  • Metal complexes synthesis and properties
  • Gold and Silver Nanoparticles Synthesis and Applications
  • Moringa oleifera research and applications
  • Essential Oils and Antimicrobial Activity
  • Bioactive Compounds and Antitumor Agents
  • Graphene and Nanomaterials Applications
  • Laser-Ablation Synthesis of Nanoparticles
  • Advanced Malware Detection Techniques
  • Biological Activity of Diterpenoids and Biflavonoids
  • Topic Modeling
  • Phytochemistry and Biological Activities
  • DNA and Nucleic Acid Chemistry
  • RNA and protein synthesis mechanisms
  • Vanadium and Halogenation Chemistry
  • Plant-derived Lignans Synthesis and Bioactivity
  • Advanced Statistical Methods and Models
  • Nanomaterials for catalytic reactions
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications

Northeast Forestry University
2021-2024

PLA Information Engineering University
2023-2024

System Equipment (China)
2024

Abstract Green extraction of the active lignans from Schisandra chinensis has received considerable attention due to their promising applications in biomedical field. In this study, microwave‐assisted deep eutectic solvent method was used simultaneously extract five lignans: Schizandrol A, B, Schisantherin Schisandrin A and Schizandrin B. The parameters were optimized according calculated comprehensive score obtained analytic hierarchy process combined with entropy weight method. optimal...

10.1002/sscp.202400006 article EN Separation Science Plus 2024-03-21

Adversarial training has proven to be a highly effective method for improving the robustness of deep neural networks against adversarial attacks. Nonetheless, it been observed exhibit limitation in terms robust fairness, characterized by significant disparity across different classes. Recent efforts mitigate this problem have turned class-wise reweighted methods. However, these methods suffer from lack rigorous theoretical analysis and are limited their exploration weight space, as they...

10.48550/arxiv.2501.04527 preprint EN arXiv (Cornell University) 2025-01-08

The chestnut shell is usually discarded as agricultural waste and the random deposition of it can cause environmental problems. In this study, monodisperse crystalline Ag nanoparticles (AgNPs) were synthesized by a hydrothermal approach, in which extract served both reducing agent stabilizer. characterized ultraviolet-visible (UV) spectrophotometry, transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron (XPS) diffraction (XRD)...

10.3390/antibiotics12020201 article EN cc-by Antibiotics 2023-01-18

Multi-hop knowledge graph question answer (KGQA) is a challenging task because it requires reasoning over multiple edges of the (KG) to arrive at right answer. However, KGs are often incomplete with many missing links, posing additional challenges for multi-hop KGQA. Recent research on KGQA attempted deal KG sparsity relevant external texts. In our work, we propose model based relation enhancement (RKE-KGQA), which fuses both label and text relations through global attention augmentation. It...

10.3390/electronics12081905 article EN Electronics 2023-04-18

In order to improve the antimicrobial activity of Ag nanomaterial and minimum their toxicity, cinnamic acid has been utilized as both reducing agent protecting ligand synthesis silver (Ag) nanoparticles (NPs). The synthesized (CA) functionalized (CA-AgNPs) have characterized by Ultraviolet-visible spectrophotometry (UV), Fourier transform infrared absorption spectra (FTIR), Atomic force microscope (AFM), Transmission electron (TEM). UV results indicated that a strong band peaked at 452 nm...

10.1080/20550324.2022.2066827 article EN cc-by Nanocomposites 2022-04-26

Vulnerability to adversarial examples poses a significant challenge the secure application of deep neural networks. Adversarial training and its variants have shown great potential in addressing this problem. However, such approaches, which directly optimize decision boundary, often result overly complex boundaries that are detrimental generalization. To deal with issue, novel plug‐and‐play method known as Misclassification‐Aware Contrastive Training (MA‐CAT) from perspective data...

10.1002/aisy.202300658 article EN cc-by Advanced Intelligent Systems 2024-02-05

The chestnut shell was usually discarded as the agriculture waste and random deposition of it can cause some environmental problem. In this study, monodisperse crystalline Ag nanoparticles were synthesized by a hydrothermal method in which extract used both reducing agent stabilizer. characterized ultraviolet visible spectrophotometry (UV), Fourier transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM), X-ray photoelectron (XPS) diffraction (XRD) measurements. TEM,...

10.2139/ssrn.4087341 article EN SSRN Electronic Journal 2022-01-01

Abstract Cisplatin is an important platinum drug in the chemotherapy of many malignant tumors clinical application. It well accepted that its main target DNA molecule. However, recent studies have shown drugs may also act on some functional proteins human body and complicate effects their efficacy. E-cadherin newly discovered glycoproteins which been regarded as signs occurrence development tumors. In this study, interactions between cisplatin were explored by fluorescence spectroscopy...

10.1101/2022.09.11.507507 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-09-11
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