Accès ouvert
2026
conference-paper
OpenAlex
Siqi Sun, Ben Wu, Mali Jin, Peizhen Bai et autres
As corporate responsibility increasingly incorporates environmental, social, and governance (ESG) criteria, ESG reporting is becoming a legal requirement in many regions and a key channel for documenting sustainability practices and assessing firms’ long-term and ethical performance. However, the length and complexity of …
gb
(code pays fourni par la source)
Accès ouvert
2026
conference-paper
OpenAlex
Siqi Sun, Ben Wu, Mali Jin, Peizhen Bai et autres
As corporate responsibility increasingly incorporates environmental, social, and governance (ESG) criteria, ESG reporting is becoming a legal requirement in many regions and a key channel for documenting sustainability practices and assessing firms' long-term and ethical performance. However, the length and complexity of …
Accès ouvert
2026
preprint
OpenAlex
Siqi Sun, Ben Wu, Mali Jin, Peizhen Bai et autres
As corporate responsibility increasingly incorporates environmental, social, and governance (ESG) criteria, ESG reporting is becoming a legal requirement in many regions and a key channel for documenting sustainability practices and assessing firms' long-term and ethical performance. However, the length and complexity of …
gb
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Longtao Yang, Wantong Xu, Yihui Tang, Ben Wu et autres
BACKGROUND: Inflammatory factors interact with brain imaging-derived phenotypes (IDPs); however, the specific causal relationships between inflammatory factors and brain white matter (WM)-related IDPs remain unclear. Thus, we sought to analyze the potential causal effects of inflammatory factors on brain WM-related IDPs using …
cn
(code pays fourni par la source)
Accès ouvert
2026
other
OpenAlex
Association for Artificial Intelligence 2026, Peizhen Bai, Mali Jin, Xingyi Song et autres
As corporate responsibility increasingly incorporates environmental, social, and governance (ESG) criteria, ESG reporting is becoming a legal obligation in many regions. These reports serve as a primary mechanism for organizations to document sustainability practices and for stakeholders to evaluate long-term viability and …
gb
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Wanwan Liang, Xinyan Fan, Ben Wu, Bo Zhang
This article takes advantage of group-level heterogeneity and network cohesion phenomenon to improve the estimation accuracy of approximate factor models. As large heterogeneous panels become available, a grouped pattern of unobserved heterogeneity in the panel data is highlighted. Clustering of factor loadings …
Accès ouvert
2025
article
OpenAlex
Guangming Yang, Ben Wu, Jian Kang, Ying Guo
Diffusion tensor imaging (DTI) is a frequently used imaging modality to investigate white matter fiber connections of human brain. DTI provides an important tool for characterizing human brain structural organization. Common goals in DTI analysis include dimension reduction, denoising, and extraction of …
us, cn
(code pays fourni par la source)
2025
article
OpenAlex
Nian‐Hui Cui, Ben Wu, Fang Wang
us, cn
(code pays fourni par la source)
Accès ouvert
2025
conference-paper
OpenAlex
Charlie Grimshaw, Ben Wu, Sophie Dillon, Jack M. Hicks et autres
Misinformation spreads rapidly on social media, confusing the truth and targeting potentially vulnerable people.To effectively mitigate the negative impact of misinformation, it must first be accurately detected before applying a mitigation strategy, such as X's community notes, which is currently a manual …
gb
(code pays fourni par la source)
Accès ouvert
2024
preprint
OpenAlex
Charlie Grimshaw, Ben Wu, Sophie Dillon, Jack M. Hicks et autres
Misinformation spreads rapidly on social media, confusing the truth and targeting potentially vulnerable people. To effectively mitigate the negative impact of misinformation, it must first be accurately detected before applying a mitigation strategy, such as X's community notes, which is currently a …
Accès ouvert
2022
article
OpenAlex
Ben Wu, Ying Guo, Jian Kang
Blind source separation (BSS) aims to separate latent source signals from their mixtures. For spatially dependent signals in high dimensional and large-scale data, such as neuroimaging, most existing BSS methods do not take into account the spatial dependence and the sparsity of …
cn, us
(code pays fourni par la source)
Accès ouvert
2022
dataset
OpenAlex
Ben Wu, Ying Guo, Jian Kang
Gibbs sampling for Bayesian spatial blind source separation (BSP-BSS). BSP-BSS is designed for spatially dependent signals in high dimensional and large-scale data, such as neuroimaging. The method assumes the expectation of the observed images as a linear mixture of multiple sparse and …