A5101615867- Advanced Topics in Algebra
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Advanced Neural Network Applications
- Advanced Operator Algebra Research
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Holomorphic and Operator Theory
- Innovative Education and Learning Practices
- Dementia and Cognitive Impairment Research
- Hydraulic Fracturing and Reservoir Analysis
- Educational and Psychological Assessments
- Advanced Banach Space Theory
- Algebraic structures and combinatorial models
- Resilience and Mental Health
- E-commerce and Technology Innovations
- Peer-to-Peer Network Technologies
- Anomaly Detection Techniques and Applications
- Legal principles and applications
- Shoulder Injury and Treatment
- Advanced Image Processing Techniques
- Functional Brain Connectivity Studies
- Image Processing Techniques and Applications
- Energy, Environment, Economic Growth
- Digital Media and Visual Art
Tsinghua University
2025
Southwest Petroleum University
2023-2025
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
2025
Gansu Institute of Political Science and Law
2024
Singapore Management University
2024
Shaanxi Normal University
2021-2024
Yunnan University of Finance And Economics
2024
Durham University
2023
Xi’an Jiaotong-Liverpool University
2023
Chongqing Medical University
2020-2022
Convolutional neural network (CNN) models for computer vision are powerful but lack explainability in their most basic form. This deficiency remains a key challenge when applying CNNs important domains. Recent work on explanations through feature importance of approximate linear has moved from input-level features (pixels or segments) to mid-layer maps the form concept activation vectors (CAVs). CAVs contain concept-level information and could be learned via clustering. In this work, we...
Shale gas extraction is hindered by the complex geological conditions of shale reservoirs, such as deep burial, low permeability, and multi-zone characteristics. Therefore, horizontal well hydraulic fracturing essential for improving reservoir permeability. However, fracture interference fluid retention can lead to gas–water co-production. Existing models predicting productivity fractured wells typically focus on single-phase flow or do not fully account interactions dynamic water saturation...
Shale gas is an important component of unconventional oil and resources. Studying the imbibition behavior helpful to optimize flowback parameters enhance recovery. Recent studies have focused on shale matrix, pressure conditions discussed were mostly atmospheric. The initial begins from propped fractures but there are few working explaining in or phenomenon many wells exhibit higher productivity after a "soaking" period. Therefore, fracture samples designed for migration experiments. In...
Let $\mathfrak A$ be a maximal subdiagonal algebra in $\sigma$-finite von Neumann $\mathcal M$ with respect to faithful normal conditional expectation $\Phi$. We consider the characterizations for type 1 sense that every right invariant subspace noncommutative $H^2$ space is of Beurling type. As an application, we give necessary and sufficient condition nest subalgebra $\rm{Alg} \mathcal N$ injective factor M$.
Numerous previous studies suggested that people's emotional tendency (ET) towards an issue can often be affected by others. But in some cases, people are unwilling to believe opposite points. This paper aims study whether tendencies susceptible with exposures others' ET concerning a special topic. contained 798,057 pieces of private-information-deleted Chinese Weibo posts carefully investigated via revised genetic algorithm, nonlinear method. Note nearly all the closely related topic,...
Adversarial examples pose a security threat to many critical systems built on neural networks. While certified training improves robustness, it also decreases accuracy noticeably. Despite various proposals for addressing this issue, the significant drop remains. More importantly, is not clear whether there certain fundamental limit achieving robustness whilst maintaining accuracy. In work, we offer novel perspective based Bayes errors. By adopting error analysis, investigate of robust...
This paper presents Visual Evaluative AI, a decision aid that provides positive and negative evidence from image data for given hypothesis. tool finds high-level human concepts in an generates the Weight of Evidence (WoE) each hypothesis decision-making process. We apply evaluate this skin cancer domain by building web-based application allows users to upload dermatoscopic image, select analyse their decisions evaluating provided evidence. Further, we demonstrate effectiveness AI on...
Illegal wildlife trade has been on the rise in recent years, posing a threat to endangered species and ecosystems. In response this problem, study aims identify most suitable clients implement anti-illegal projects assess their capacity. Using client assessment model, we identified World Customs Organization as undertake five-year project, predicted trends through an ARIMA demonstrated project effectiveness. Intervention analysis showed that could reduce number of illegal transactions....
Hart's critique of Austin's theory legal command is great significance to jurisprudence and has far-reaching influence, so much that scholars later generations have learn understand from description command. The purpose this essay revisit the process theory, focusing on critical logic methodology, attempting explore following questions: Command Saying sound? Is Theory rigorous logical enough? Does still a chance resist attack book Concept Law? Was Hart influenced by theory? Finally, what...
This paper constructs a multi-oligopoly model of emergency supplies and analyses the market equilibrium results under normal conditions epidemic conditions. The impacts degree change in demand, externalities, material cost government regulation on results, especially prices supplies, are discussed. show that an increase will lead to low output social welfare high price, either or Moreover, conditions, presence mode all have multiple complex influences results. Under both price can supply...
Let $\mathfrak A$ be a type 1 subdiagonal algebra in $σ$-finite von Neumann $\mathcal M$ with respect to faithful normal conditional expectation $Φ$. We consider Riesz factorization theorem noncommutative $H^p$ spaces associated A$. It is shown that if $1\leq r,p,q
In this paper, we start by reviewing two small-world networks. Next, present a novel approach to construct network based on the so-called nodes mergence in order better describe special characteristics of network. Analysis what distribution and parameters choose is discussed, through which obtain best strategy build Further more, coordinate expression nodes' proposed convenience for depicting merged way computer could recognize. By comparing several statistical indexes including average path...
In recent years, image deblurring algorithms based on Generative Adversarial Network (GAN) have been proposed. The motion has studied for some time. multi-scale architecture of convolutional neural networks (CNN) can clearly recover blurred images, but the processing time is long. Networks performs well in style conversion and images under a non-multi-scale architecture. authors reviewed popular papers related to DeblurGAN, compared algorithm structure different papers, data sets accuracy...