1 code implementation • 14 Oct 2023 • Hang Shao, Bei Liu, Bo Xiao, Ke Zeng, Guanglu Wan, Yanmin Qian
Various Large Language Models~(LLMs) from the Generative Pretrained Transformer(GPT) family have achieved outstanding performances in a wide range of text generation tasks.
1 code implementation • 3 Aug 2023 • Yao Liu, Hang Shao, Bing Bai
This paper introduces a new Convolutional Neural Network (ConvNet) architecture inspired by a class of partial differential equations (PDEs) called quasi-linear hyperbolic systems.
no code implementations • 18 May 2023 • Hang Shao, Wei Wang, Bei Liu, Xun Gong, Haoyu Wang, Yanmin Qian
Due to the rapid development of computing hardware resources and the dramatic growth of data, pre-trained models in speech recognition, such as Whisper, have significantly improved the performance of speech recognition tasks.
no code implementations • 25 Oct 2022 • Chenyang Zhao, Chuanfei Hu, Hang Shao, Zhe Wang, Yongxiong Wang
An automatic vision-based sewer inspection plays a key role of sewage system in a modern city.
no code implementations • 25 Oct 2022 • Chuanfei Hu, Hang Shao, Bo Dong, Zhe Wang, Yongxiong Wang
Representing the spatial properties of facial attributes is a vital challenge for facial attribute recognition (FAR).
no code implementations • 21 Nov 2017 • Hang Shao, Abhishek Kumar, P. Thomas Fletcher
Deep generative models learn a mapping from a low dimensional latent space to a high-dimensional data space.