Gaiqin Bai

According to our database, Gaiqin Bai authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide.

Jie Feng, Qiyang Gao, Ronghua Shang, Xianghai Cao, Gaiqin Bai, Xiangrong Zhang, Licheng Jiao

Knowl. Based Syst., 2024

2023

MR-Selection: A Meta-Reinforcement Learning Approach for Zero-Shot Hyperspectral Band Selection.

Jie Feng, Gaiqin Bai, Di Li, Xiangrong Zhang, Ronghua Shang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Hyperspectral Image Classification Based on Spectrally-Enhanced and Densely Connected Transformer Model.

Yongen Wu, Jie Feng, Gaiqin Bai, Qiyang Gao, Xiangrong Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Automatic Design Recurrent Neural Network for Hyperspectral Image Classification.

Jie Feng, Gaiqin Bai, Zizhuo Gao, Xiangrong Zhang, Xu Tang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021