Ziqi Xu

ORCID: 0000-0003-1748-5801
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About
Contact & Profiles
Research Areas
  • Bayesian Modeling and Causal Inference
  • Advanced Causal Inference Techniques
  • Statistical Methods and Inference
  • Explainable Artificial Intelligence (XAI)
  • Ethics and Social Impacts of AI
  • Domain Adaptation and Few-Shot Learning
  • biodegradable polymer synthesis and properties
  • Proteins in Food Systems
  • Machine Learning and Data Classification
  • Adversarial Robustness in Machine Learning
  • Time Series Analysis and Forecasting
  • Microencapsulation and Drying Processes
  • Diverse Aspects of Tourism Research
  • Enzyme Catalysis and Immobilization
  • Microplastics and Plastic Pollution
  • Stock Market Forecasting Methods
  • Mental Health Research Topics
  • Advanced Graph Neural Networks
  • Psychology of Moral and Emotional Judgment
  • COVID-19 impact on air quality
  • Recommender Systems and Techniques
  • Advanced Authentication Protocols Security
  • Regional resilience and development
  • Reinforcement Learning in Robotics
  • Medical Image Segmentation Techniques

RMIT University
2024-2025

Nanjing Normal University
2025

Mudanjiang Medical University
2024

University of South Australia
2022-2024

East China Jiaotong University
2022-2024

Changchun University of Technology
2023

Durham University
2023

Qilu University of Technology
2023

Shandong Academy of Sciences
2021-2023

Beihang University
2023

Abstract Edge detection is an important part of image segmentation, in this paper, the edge algorithm based on traditional Canny operator for medical images studied. The improved using Otsu and double-gate limit method, ability strengthened. simulation realized computer platform by MATLAB, experimental results are analyzed from two objective evaluation indexes information entropy mean square error. show that compared with algorithm, adaptive double threshold has better effect, richer...

10.1088/1742-6596/1955/1/012080 article EN Journal of Physics Conference Series 2021-06-01

Linalool has been extensively applied in various fields, such as flavoring agent, perfumes, cosmetics and medical science. However, linalool is unstable, volatile readily oxidizable. A sensitive substance can be encapsulated a capsule, so encapsulation technology solve these problems. In this paper, linalool-loaded nanocapsules (Lin-nanocapsules) were prepared via the ionic gelation method Lin-nanocapsules characterized. The results of Fourier transformation infrared spectroscopy (FTIR)...

10.1590/1678-457x.27616 article EN Food Science and Technology 2017-05-25

Delivering biomacromolecules to the cytosol remains a formidable challenge, as these molecules are predominantly sequestered within endosomes after endocytosis. The limited efficacy of current delivery systems in promoting reliable endosomal escape underscores need for innovative strategies. Here, we report DNA origami nanotubule construct transmembrane nanodevices with size‐selective gating and ATP‐responsive channel activation. By integrating unilamellar vesicles large storage...

10.1002/ange.202505290 article EN Angewandte Chemie 2025-04-08

Since the development of film-induced tourism, scholars have increasingly shifted their attention to examining tourism from different perspectives. However, little research has been devoted underlying mechanisms by which audiences empathize with movie scenes. Current believes that lens language movies is helpful for communication between and audience. It not only helps audience shape imagination scene, but also contributes construction a virtual landscape, promotes audience's cognition...

10.3389/fpsyg.2023.1109328 article EN cc-by Frontiers in Psychology 2023-02-02

The instrumental variable (IV) approach is a widely used way to estimate the causal effects of treatment on an outcome interest from observational data with latent confounders. A standard IV expected be related and independent all other variables in system. However, it challenging search for directly due strict conditions. conditional (CIV) method has been proposed allow instrument conditioning set variables, allowing wider choice possible IVs enabling broader practical applications...

10.1609/aaai.v37i6.25869 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2023-06-26

Causal inference from longitudinal observational data is a challenging problem due to the difficulty in correctly identifying time-dependent confounders, especially presence of latent confounders. Instrumental variable (IV) powerful tool for addressing confounders issue, but traditional IV technique cannot deal with studies. In this work, we propose novel Time-dependent Factor Model (TIFM) time-varying causal effect estimation At each time-step, proposed TIFM method employs Recurrent Neural...

10.1609/aaai.v38i10.29029 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

With the development of modern technologies, museums have been engaged in competition for novel sensory resources. Taking into consideration main body visitors, their experiential representation has gradually become focal point museums. However, at present, museum display is limited to visual effect. The scientific and technological methods proposed by existing research not really formed a deep cultural memory historical stories, sustainable paths need be further optimized. Thus, purpose...

10.1177/21582440241256339 article EN cc-by SAGE Open 2024-04-01

Abstract Globally, the widespread utilization of plastic products has resulted in accumulation microplastics (MPs) soil. MPs have potential to impact loss soil organic carbon (SOC). Nevertheless, influence different types on SOC remains uncertain. In this study, a 38 day incubation experiment with two kinds conventional (polyethylene, polypropylene) as well biodegradable (polyhydroxyalkanoate [PHA], polylactic acid [PLA]) were added into three (loam, sandy loam, and soil) farmland...

10.1111/1365-2435.14662 article EN cc-by-nc Functional Ecology 2024-09-24

Abstract 10‐Hydroxy‐2‐decenoic acid (10‐HDA) is a terminal hydroxylated medium‐chain α,β‐unsaturated carboxylic that performs various unique physiological activities and has wide market value. Therefore, development of an environmentally friendly, safe, high‐efficiency route to synthesize 10‐HDA required. Here, the β‐oxidation pathway Escherichia coli was modified P450 hydroxylase (CYP153A33‐CPR BM3 ) rationally designed using decanoic as substrate via two‐step whole‐cell catalysis....

10.1002/cssc.202102152 article EN ChemSusChem 2021-11-19

Estimating direct and indirect causal effects from observational data is crucial to understanding the mechanisms predicting behaviour under different interventions. Causal mediation analysis a method that often used reveal effects. Deep learning shows promise in analysis, but current methods only assume latent confounders affect treatment, mediator outcome simultaneously, fail identify types of (e.g., or outcome). Furthermore, are based on sequential ignorability assumption, which not...

10.1609/aaai.v37i9.26266 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2023-06-26

Abstract Micro-encapsulated strawberry fragrance was successfully prepared with wall materials including maltodextrin, sodium octenylsuccinate and gum Arabic. The micro-capsule added to wallpaper aromatic characteristics obtained. particle distribution, surface morphology, chemical structure, thermal property controlled release performance of micro-encapsulated were investigated using laser size analyzer, scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-TR),...

10.1515/pjct-2017-0013 article EN Polish Journal of Chemical Technology 2017-03-28

Latent confounders are a fundamental challenge for inferring causal effects from observational data. The instrumental variable (IV) approach is practical way to address this challenge. Existing IV-based estimators need known IV or other strong assumptions, such as the existence of two more IVs in system, which limits application approach. In article, we consider relaxed requirement, assumes there an proxy system without knowing proxy. We propose variational autoencoder (VAE)-based...

10.1109/tnnls.2024.3512790 article EN IEEE Transactions on Neural Networks and Learning Systems 2024-01-01

In this study, we optimized the melt polycondensation of 10-hydroxy-2-decenoic acid (10-HDA) to produce poly(10-hydroxy-2-decenoate) (PHDA) and used it form crosslinked polyester films PHDA via thermal- or photocuring. The physical properties depended greatly on polymerization conditions, particularly temperature. reaction conditions were achieve polymers with high weight- number-average molecular weights 4.182 × 104 (±0.324%) 1.588 (±1.737%) Da. Structural, thermomechanical, mechanical...

10.1016/j.polymertesting.2023.108106 article EN cc-by Polymer Testing 2023-06-10

With the advent of information age and advancement digital technology, film television tourism is developing rapidly under joint action industry industry, has become a crucial form cultural entertainment consumption for individuals to pursue better life in new age. This study designs three experiments from perspectives identity conversion, motivation transfer, demand change conduct an empirical on mediating role empathy further exploring internal mechanism film-induced tourism. The findings...

10.3389/fpsyg.2022.900998 article EN cc-by Frontiers in Psychology 2022-05-23

Two-factor authentication (TFA) provides an additional layer of protection to commonly-occurring password breaches. However, existing TFA methods, often involve special hardware interfaces, or require human effort which is prone errors and acts as adoption detractor for older adults novice technology users. To address these limitations, we propose a zero-interaction, two-factor (ZITA) protocol. In ZITA, the first factor implemented using conventional username methods. The second completed...

10.1109/tmc.2023.3321514 article EN IEEE Transactions on Mobile Computing 2023-10-02

Clustering is a task of unsupervised learning, aiming to group set data so that in the same are more similar each other than those groups. Affinity propagation (AP) clustering algorithm which finds exemplars (representative points) for points by spreading messages among them. AP has several drawbacks. First, it time-consuming and memory-consuming on large-scale dataset, due its N square time space complexity. Second, may produce too many small clusters. Third, have difficulty converging...

10.1109/dsaa54385.2022.10032450 article EN 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) 2022-10-13
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