Dr. Ning Zhang | Deep Learning | Research Excellence Award
Dr. Ning Zhang | Deep Learning | Beijing Institute of Technology | China
Dr. Ning Zhang is a male researcher in the field of intelligent sensing and information and communication engineering, with a strong academic and applied background in deep learning–driven sensor systems, onboard artificial intelligence, and edge computing for aerospace and remote sensing platforms. He received his doctoral and master’s training in Information and Communication Engineering from Beijing Institute of Technology and completed his undergraduate education in Electronic Information Engineering at Wuhan University of Technology, forming a solid interdisciplinary foundation that integrates algorithms, hardware architecture, and embedded intelligence. Professionally, Dr. Ning Zhang has served as a project leader and key algorithm and hardware engineer in multiple nationally funded and internationally oriented research projects, including onboard AI systems for small satellites, UAV-based intelligent perception, and dynamic neural network deployment under constrained computing environments.
400
300
200
100
0
337
6
9
Documents
h-index
Featured Publications
MFST: A Multi-Level Fusion Network for Remote Sensing Scene Classification
– IEEE Geoscience and Remote Sensing Letters, 2022 · 103 Citations
FPGA Implementation for CNN-Based Optical Remote Sensing Object Detection
– Electronics, 2021 · 96 Citations
Automatic Deployment of Convolutional Neural Networks on FPGA for Spaceborne Remote Sensing Application
– Remote Sensing, 2022 · 26 Citations
All Adder Neural Networks for On-Board Remote Sensing Scene Classification
– IEEE Transactions on Geoscience and Remote Sensing, 2023 · 22 Citations
Knowledge Distillation-Based Lightweight Change Detection in High-Resolution Remote Sensing Imagery
– IEEE JSTARS, 2024 · 22 Citations