5 papers
Coherent Visualization of 2D Scalar Field Contour Ensembles With Probabilistic Latent Space Modeling
Cenyang Wu, Runhao Lin, Qinhan Yu +1
We present a new visualization method for contour ensembles through probabilistic modeling. We aim to improve the coherence between different visual representations, such as contou…
Visualization of Machine Learning Models through Their Spatial and Temporal Listeners
Siyu Wu, Lei Shi, Lei Xia +5
Model visualization (ModelVis) has emerged as a major research direction, yet existing taxonomies are largely organized by data or tasks, making it difficult to treat models as fir…
M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions
Junyu Feng, Binxiao Xu, Jiayi Chen +8
This work addresses the challenge of personalized question answering in long-term human-machine interactions: when conversational history spans weeks or months and exceeds the cont…
Probabilistic Inclusion Depth for Fuzzy Contour Ensemble Visualization
Cenyang Wu, Daniel Klötzl, Qinhan Yu +4
We propose Probabilistic Inclusion Depth (PID) for the ensemble visualization of scalar fields. By introducing a probabilistic inclusion operator , our method is a g…
Ensemble Visualization With Variational Autoencoder
Cenyang Wu, Qinhan Yu, Liang Zhou
We present a new method to visualize data ensembles by constructing structured probabilistic representations in latent spaces, i.e., lower-dimensional representations of spatial da…