Zhengnan Zhang
Orcid: 0000-0002-5676-5243
According to our database1,
Zhengnan Zhang authored at least 15 papers
between 2012 and 2026.
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Bibliography
2026
CoRR, March, 2026
Progressive cross-modal attention network for brain-computer interface decoding using EEG and fNIRS.
Appl. Soft Comput., 2026
2025
FC-MIR: A Mobile Screen Awareness Framework for Intent-Aware Recommendation based on Frame-Compressed Multimodal Trajectory Reasoning.
CoRR, December, 2025
Brain Network Analysis and Recognition Algorithm for MDD Based on Class-Specific Correlation Feature Selection.
Inf., 2025
An improved hybrid approach involving deep learning for urban greening tree species classification with Pléiades Neo 4 imagery - A case study from Nanjing, Eastern China.
Ecol. Informatics, 2025
Emotional recognition of EEG signals utilizing residual structure fusion in bi-directional LSTM.
Complex Intell. Syst., 2025
Fair and Efficient Federated Learning Client Selection via Dynamic Contribution Evaluation.
Proceedings of the International Joint Conference on Neural Networks, 2025
2022
An Advanced Framework for Multi-Scale Forest Structural Parameter Estimations Based on UAS-LiDAR and Sentinel-2 Satellite Imagery in Forest Plantations of Northern China.
Remote. Sens., 2022
2021
Assessing the 3-D Structure of Bamboo Forests Using an Advanced Pseudo-Vertical Waveform Approach Based on Airborne Full-Waveform LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Individual Tree Structural Parameter Extraction and Volume Table Creation Based on Near-Field LiDAR Data: A Case Study in a Subtropical Planted Forest.
Sensors, 2021
2020
Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Estimating Tree Volume Distributions in Subtropical Forests Using Airborne LiDAR Data.
Remote. Sens., 2019
2017
Estimating Forest Structural Parameters Using Canopy Metrics Derived from Airborne LiDAR Data in Subtropical Forests.
Remote. Sens., 2017
2012
3D localization of circular feature in 2D image and application to food volume estimation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012