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View article: Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction
Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction Open
Multimodal Information Extraction (MIE) has gained attention for extracting structured information from multimedia sources. Traditional methods tackle MIE tasks separately, missing opportunities to share knowledge across tasks. Recent appr…
Volume-Based Space-Time Cube for Large-Scale Continuous Spatial Time Series Open
Spatial time series visualization offers scientific research pathways and analytical decision-making tools across various spatiotemporal domains. Despite many advanced methodologies, the seamless integration of temporal and spatial informa…
View article: TraSculptor: Visual Analytics for Enhanced Decision-Making in Road Traffic Planning
TraSculptor: Visual Analytics for Enhanced Decision-Making in Road Traffic Planning Open
The design of urban road networks significantly influences traffic conditions, underscoring the importance of informed traffic planning. Traffic planning experts rely on specialized platforms to simulate traffic systems, assessing the effi…
View article: Visual comparative analytics of multimodal transportation
Visual comparative analytics of multimodal transportation Open
Contemporary urban transportation systems frequently depend on a variety of modes to provide residents with travel services. Understanding a multimodal transportation system is pivotal for devising well-informed planning; however, it is al…
View article: Hybrid Classification-Regression Adaptive Loss for Dense Object Detection
Hybrid Classification-Regression Adaptive Loss for Dense Object Detection Open
For object detection detectors, enhancing model performance hinges on the ability to simultaneously consider inconsistencies across tasks and focus on difficult-to-train samples. Achieving this necessitates incorporating information from b…
VAID: Indexing View Designs in Visual Analytics System Open
Visual analytics (VA) systems have been widely used in various application domains. However, VA systems are complex in design, which imposes a serious problem: although the academic community constantly designs and implements new designs, …
Relation-driven Query of Multiple Time Series Open
Querying time series based on their relations is a crucial part of multiple time series analysis. By retrieving and understanding time series relations, analysts can easily detect anomalies and validate hypotheses in complex time series da…
VAID: Indexing View Designs in Visual Analytics System Open
Visual analytics (VA) systems have been widely used in various application domains. However, VA systems are complex in design, which imposes a serious problem: although the academic community constantly designs and implements new designs, …
A survey of urban visual analytics: Advances and future directions Open
Developing effective visual analytics systems demands care in characterization of domain problems and integration of visualization techniques and computational models. Urban visual analytics has already achieved remarkable success in tackl…
View article: Interactive Visual Exploration of Longitudinal Historical Career Mobility Data
Interactive Visual Exploration of Longitudinal Historical Career Mobility Data Open
The increased availability of quantitative historical datasets has provided new research opportunities for multiple disciplines in social science. In this article, we work closely with the constructors of a new dataset, CGED-Q (China Gover…
Towards Better Bus Networks: A Visual Analytics Approach Open
Bus routes are typically updated every 3-5 years to meet constantly changing travel demands. However, identifying deficient bus routes and finding their optimal replacements remain challenging due to the difficulties in analyzing a complex…
MyEvents: A Personal Visual Analytics Approach for Mining Key Events and Knowledge Discovery in Support of Personal Reminiscence Open
Reminiscence is an important aspect in our life. It preserves precious memories, allows us to form our own identities and encourages us to accept the past. Our work takes the advantage of modern sensor technologies to support reminiscence,…