We have 3 of 14 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
CURE is proposed, a confounder-aware framework for multi-view urban region representation learning that improves predictive performance, remains robust under missing and noisy input views, and provides reliable cross-view integration through shared component separation and context-dependent view weighting.
This work proposes REFINE, a simple yet effective Representation lEarning Framework that tightly couples road-network-aware generative reconstruction with feedback-driven contrastive learning, enabling the model to capture fine-grained local movement semantics and global spatio-temporal dependencies without manually de...
Driven by the ‘Dual Carbon’ goals, reducing carbon emissions has become a consensus amongst enterprises. As an emerging economic model, the digital economy—with its characteristics of efficiency, intelligence and innovation—is emerging as a key driver of carbon emission reductions. Export-oriented manufacturing enterpr...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
