no code implementations • 30 Mar 2024 • Yuji Cao, Huan Zhao, Yuheng Cheng, Ting Shu, Guolong Liu, Gaoqi Liang, Junhua Zhao, Yun Li
With extensive pre-trained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects such as multi-task learning, sample efficiency, and task planning.
no code implementations • 18 Jan 2024 • Xiang Fei, Huan Zhao, Xiyuan Zhou, Junhua Zhao, Ting Shu, Fushuan Wen
Power system fault diagnosis is crucial for identifying the location and causes of faults and providing decision-making support for power dispatchers.
no code implementations • 3 Jan 2024 • Shengchao Chen, Ting Shu, Huan Zhao, Jiahao Wang, Sufen Ren, Lina Yang
Remote Sensing Target Fine-grained Classification (TFGC) is of great significance in both military and civilian fields.
no code implementations • 28 Apr 2023 • Shengchao Chen, Ting Shu, Huan Zhao, Yuan Yan Tang
The proposed model called MASK-Convolutional Neural Network-Transformer (MASK-CT) is based on the Transformer, the convolutional process, and the MASK mechanism.
no code implementations • 27 Apr 2023 • Shengchao Chen, Ting Shu, Huan Zhao, Guo Zhong, Xunlai Chen
TempEE avoids using auto-regression and instead employs a one-step forward strategy to prevent cumulative error spreading during the extrapolation process.
no code implementations • 25 Jul 2020 • Shi-Xun Lina, Guo Zhongb, Ting Shu
Multi-view clustering integrates multiple feature sets, which reveal distinct aspects of the data and provide complementary information to each other, to improve the clustering performance.