2 citations · 2 across the 4 of their papers we have counts for
4 papers
Few-Shot Vision-Language Action-Incremental Policy Learning
Mingchen Song, Xiang Deng, Guoqiang Zhong +5
Recently, Transformer-based robotic manipulation methods utilize multi-view spatial representations and language instructions to learn robot motion trajectories by leveraging numer…
The inherent convolution property of quantum neural networks
Guangkai Qu, Zhimin Wang, Guoqiang Zhong +1
Quantum neural networks (QNNs) represent a pioneering intersection of quantum computing and deep learning. In this study, we unveil a fundamental convolution property inherent to Q…
Hybrid quantum-classical convolutional neural network for phytoplankton classification
Shangshang Shi, Zhimin Wang, Ruimin Shang +4
The taxonomic composition and abundance of phytoplankton, having direct impact on marine ecosystem dynamic and global environment change, are listed as essential ocean variables. P…
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning
Guoqiang Zhong, Li-Na Wang, Junyu Dong
Since about 100 years ago, to learn the intrinsic structure of data, many representation learning approaches have been proposed, including both linear ones and nonlinear ones, supe…