Na Li

According to our database, Na Li authored at least 10 papers between 2016 and 2022.

Collaborative distances:

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

2022

Graph-Based Deep Multitask Few-Shot Learning for Hyperspectral Image Classification.

Na Li, Deyun Zhou, Jiao Shi, Xiaolong Zheng, Tao Wu, Zhen Yang

Remote. Sens., 2022

Multiple Datasets Collaborative Analysis for Hyperspectral Band Selection.

Jiao Shi, Xi Zhang, Chunhui Tan, Yu Lei, Na Li, Deyun Zhou

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Self-Regulated Particle Swarm Multi-Task Optimization.

Xiaolong Zheng, Deyun Zhou, Na Li, Tao Wu, Yu Lei, Jiao Shi

Sensors, 2021

Differential Evolution Based Layer-Wise Weight Pruning for Compressing Deep Neural Networks.

Tao Wu, Xiaoyang Li, Deyun Zhou, Na Li, Jiao Shi

Sensors, 2021

Evolutionary Multi-Objective One-Shot Filter Pruning for Designing Lightweight Convolutional Neural Network.

Tao Wu, Jiao Shi, Deyun Zhou, Xiaolong Zheng, Na Li

Sensors, 2021

Deep Fully Convolutional Embedding Networks for Hyperspectral Images Dimensionality Reduction.

Na Li, Deyun Zhou, Jiao Shi, Mingyang Zhang, Tao Wu, Maoguo Gong

Remote. Sens., 2021

Spectral-Locational-Spatial Manifold Learning for Hyperspectral Images Dimensionality Reduction.

Na Li, Deyun Zhou, Jiao Shi, Tao Wu, Maoguo Gong

Remote. Sens., 2021

Self-adaptive Multi-task Particle Swarm Optimization.

Xiaolong Zheng, Deyun Zhou, Na Li, Yu Lei, Tao Wu, Maoguo Gong

CoRR, 2021

2017

Fuzzy multi-objective sparse feature learning.

Na Li, Yu Lei, Jiao Shi, Maoguo Gong

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Restricted Boltzmann Machine.

Na Li, Jiao Shi, Maoguo Gong

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016