8 citations · 15 across the 5 of their papers we have counts for
5 papers
Tackling Vision Language Tasks Through Learning Inner Monologues
Diji Yang, Kezhen Chen, Jinmeng Rao +4
Visual language tasks require AI models to comprehend and reason with both visual and textual content. Driven by the power of Large Language Models (LLMs), two prominent methods ha…
Search for relativistic fractionally charged particles in space
DAMPE Collaboration, F. Alemanno, C. Altomare +148
More than a century after the performance of the oil drop experiment, the possible existence of fractionally charged particles FCP still remains unsettled. The search for FCPs is c…
DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems
Yi Zhang, Akash Doshi, Rob Liston +4
In this work, we develop DeepWiPHY, a deep learning-based architecture to replace the channel estimation, common phase error (CPE) correction, sampling rate offset (SRO) correction…
A novel semi-supervised multi-view clustering framework for screening Parkinson's disease
Xiaobo Zhang, Donghai Zhai, Yan Yang +2
In recent years, there are many research cases for the diagnosis of Parkinson's disease (PD) with the brain magnetic resonance imaging (MRI) by utilizing the traditional unsupervis…
Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem
Yi Zhang, Cheng Zeng, Hao Cheng +2
With the emergence of diverse data collection techniques, objects in real applications can be represented as multi-modal features. What's more, objects may have multiple semantic m…