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Profil bibliographique

Xiaoxiao Wang

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

47Publications signalées
253Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Financial Markets and Investment StrategiesTraffic and Road SafetyCorporate Finance and GovernanceBanking stability, regulation, efficiencyUrban Transport and Accessibility

Les publications récentes

Accès ouvert 2025 article OpenAlex

The Impact of Accruals on Investor’s Financing Decision

Ditong Liu, Xiaoxiao Wang

Based on the annual financial statement data of 40 listed companies in China in the past three years, this paper uses hierarchical regression to analyze how companies manipulate financial statements with the accrual basis component to influence investors’ decisions. Accruals are a …

0 citations Finance & Economics
2025 conference-paper OpenAlex

Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis

Chunxiao Li, Xiaoxiao Wang, Andi Zhang, Rui Sun et autres

Diffusion models have achieved impressive success in generating photorealistic images, but challenges remain in ensuring precise semantic alignment with input prompts. Optimizing the initial noisy latent offers a more efficient alternative to modifying model architectures or prompt engineering for improving semantic alignment. …

cn, gb (code pays fourni par la source)

0 citations
Accès ouvert 2025 conference-paper OpenAlex

An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques

Chunxiao Li, Xiaoxiao Wang, Chuanlong Xie, Zizhe Wang et autres

Image classification serves as the cornerstone of computer vision, traditionally achieved through discriminative models based on deep neural networks. Recent advancements have introduced classification methods derived from generative models, which offer the advantage of zero-shot classification. However, these methods suffer from two …

cn (code pays fourni par la source)

1 citation Proceedings of the AAAI Conference on Artificial Intelligence
Accès ouvert 2025 article OpenAlex

The Impact of AI-Generated Art on the Creative Process of Painting Artists: A Conceptual Paper

Xiaoxiao Wang, Rainal Hidayat Wardi, Rusmawati Binti Ghazali

This conceptual paper explores how AI-generated art tools impact the creative processes of painters in Beijing, Shanghai, and Shenzhen, China. By constructing a conceptual framework, the study analyzes the effects of AI tool dependency and technology acceptance on creative inspiration, efficiency, innovation, …

my (code pays fourni par la source)

1 citation Malaysian Journal of Social Sciences and Humanities (MJSSH)
2025 article OpenAlex

The Impact of Accruals on Investor’s Financing Decision

Ditong Liu, Xiaoxiao Wang

Based on the annual financial statement data of 40 listed companies in China in the past three years, this paper uses hierarchical regression to analyze how companies manipulate financial statements with the accrual basis component to influence investors’ decisions. Accruals are a …

0 citations Finance & Economics
Accès ouvert 2025 article OpenAlex

Evaluation of Virtual Reality Cultural Heritage Experience at Guilin Museum, China: A Conceptual Paper

Xiaoxiao Wang, Rainal Hidayat Wardi, Rusmawati Binti Ghazali

Integrating Virtual Reality (VR) technology into cultural heritage presents unprecedented opportunities for enhancing museum experiences, specifically through immersive and interactive digital presentations (Theodoropoulos & Antoniou, 2022). Although virtual reality technology has the potential to enhance the experience of cultural heritage, according to …

my (code pays fourni par la source)

2 citations Malaysian Journal of Social Sciences and Humanities (MJSSH)
Accès ouvert 2024 preprint OpenAlex

An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques

Chunxiao Li, Xiaoxiao Wang, Chuanlong Xie, Zizhe Wang et autres

Image classification serves as the cornerstone of computer vision, traditionally achieved through discriminative models based on deep neural networks. Recent advancements have introduced classification methods derived from generative models, which offer the advantage of zero-shot classification. However, these methods suffer from two …

1 citation arXiv (Cornell University)

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