4 citations · 7 across the 7 of their papers we have counts for
7 papers
The Weather Paradox: Why Precipitation Fails to Predict Traffic Accident Severity in Large-Scale US Data
Yann Bellec, Rohan Kaman, Siwen Cui +2
This study investigates the predictive capacity of environmental, temporal, and spatial factors on traffic accident severity in the United States. Using a dataset of 500,000 U.S. t…
Artificial Intelligence Virtual Cells: From Measurements to Decisions across Modality, Scale, Dynamics, and Evaluation
Chengpeng Hu, Calvin Yu-Chian Chen
Artificial Intelligence Virtual Cells (AIVCs) aim to learn executable, decision-relevant models of cell state from multimodal, multiscale measurements. Recent studies have introduc…
MambaControl: Anatomy Graph-Enhanced Mamba ControlNet with Fourier Refinement for Diffusion-Based Disease Trajectory Prediction
Hao Yang, Tao Tan, Shuai Tan +4
Modelling disease progression in precision medicine requires capturing complex spatio-temporal dynamics while preserving anatomical integrity. Existing methods often struggle with…
Scalable Crystal Structure Relaxation Using an Iteration-Free Deep Generative Model with Uncertainty Quantification
Ziduo Yang, Yi-Ming Zhao, Xian Wang +6
In computational molecular and materials science, determining equilibrium structures is the crucial first step for accurate subsequent property calculations. However, the recent di…
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation
Lin Zongying, Li Hao, Lv Liuzhenghao +5
Designing protein sequences with specific biological functions and structural stability is crucial in biology and chemistry. Generative models already demonstrated their capabiliti…
Lightweight equivariant model for efficient machine learning interatomic potentials
Ziduo Yang, Xian Wang, Yifan Li +3
In modern computational materials science, deep learning has shown the capability to predict interatomic potentials, thereby supporting and accelerating conventional simulations. H…
Generating near-infrared facial expression datasets with dimensional affect labels
Calvin Chen, Stefan Winkler
Facial expression analysis has long been an active research area of computer vision. Traditional methods mainly analyse images for prototypical discrete emotions; as a result, they…