32 citations · 256 across the 40 of their papers we have counts for
16 papers · 1 filter
Uncovering Neural Scaling Laws in Molecular Representation Learning
Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang +5
Molecular Representation Learning (MRL) has emerged as a powerful tool for drug and materials discovery in a variety of tasks such as virtual screening and inverse design. While th…
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
Yi-Fan Zhang, Qingsong Wen, Xue Wang +6
Online updating of time series forecasting models aims to address the concept drifting problem by efficiently updating forecasting models based on streaming data. Many algorithms a…
Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition
Ming-Zhe Li, Zhen Jia, Zhang Zhang +2
Generalized zero-shot skeleton-based action recognition (GZSSAR) is a new challenging problem in computer vision community, which requires models to recognize actions without any t…
TCGF: A unified tensorized consensus graph framework for multi-view representation learning
Xiangzhu Meng, Wei Wei, Qiang Liu +2
Multi-view learning techniques have recently gained significant attention in the machine learning domain for their ability to leverage consistency and complementary information acr…
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis
Xiangzhu Meng, Wei Wei, Qiang Liu +2
In recent years, functional magnetic resonance imaging has emerged as a powerful tool for investigating the human brain's functional connectivity networks. Related studies demonstr…
CvFormer: Cross-view transFormers with Pre-training for fMRI Analysis of Human Brain
Xiangzhu Meng, Qiang Liu, Shu Wu +1
In recent years, functional magnetic resonance imaging (fMRI) has been widely utilized to diagnose neurological disease, by exploiting the region of interest (RoI) nodes as well as…