Xusheng Li

Orcid: 0000-0003-0000-6931

According to our database1, Xusheng Li authored at least 24 papers between 2016 and 2024.

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Bibliography

2024
Temporal and Spatial Assessment of Carbon Flux Dynamics: Evaluating Emissions and Sequestration in the Three Northern Protection Forest Project Areas Supported by Google Earth Engine.
Remote. Sens., March, 2024

Selective transfer subspace learning for small-footprint end-to-end cross-domain keyword spotting.
Speech Commun., January, 2024

2023
A Multi-Angle Appearance-Based Approach for Vehicle Type and Brand Recognition Utilizing Faster Regional Convolution Neural Networks.
Sensors, December, 2023

Research on cloud data encryption algorithm based on bidirectional activation neural network.
Inf. Sci., April, 2023

Dynamically adaptive adjustment loss function biased towards few-class learning.
IET Image Process., February, 2023

Response of Industrial Warm Drainage to Tide Revealed by Airborne and Sea Surface Observations.
Remote. Sens., January, 2023

Winter Water Quality Modeling in Xiong'an New Area Supported by Hyperspectral Observation.
Sensors, 2023

2022
Novel Data and Neural Network-Based Nonlinear Adaptive Switching Control Method.
IEEE Trans. Neural Networks Learn. Syst., 2022

A New Method for Calculating Water Quality Parameters by Integrating Space-Ground Hyperspectral Data and Spectral-In Situ Assay Data.
Remote. Sens., 2022

Comparison of Lake Area Extraction Algorithms in Qinghai Tibet Plateau Leveraging Google Earth Engine and Landsat-9 Data.
Remote. Sens., 2022

An Image Encryption Algorithm Based on Complex Network Scrambling and Multi-Directional Diffusion.
Entropy, 2022

VEA: An FPGA-Based Voxel Encoding Accelerator for 3D Object Detection with LiDAR.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021
A Switching Control Scheme With Increment Estimate of Unmodeled Dynamics.
IEEE Trans. Ind. Informatics, 2021

2020
On the Analysis and Improvement of Min-Entropy Estimation on Time-Varying Data.
IEEE Trans. Inf. Forensics Secur., 2020

DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics.
J. Comput. Secur., 2020

A Superpixel Boundary Optimization (SBO) Framework Based on Information Measure Function.
IEEE Access, 2020

A Low-Power Processing Element Based on Asynchronous Data-Driven Bit-Serial Multiplier for CNNs.
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

An Asynchronous Convolution Process Engine forVGG-16 Neural Network.
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

2019
A hybrid deep learning framework for bacterial named entity recognition with domain features.
BMC Bioinform., 2019

Microbial Interaction Extraction from Biomedical Literature using Max-Bi-LSTM.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Bacterial Named Entity Recognition Based on Language Model.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
ROPNN: Detection of ROP Payloads Using Deep Neural Networks.
CoRR, 2018

A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2016
Image and medical annotations using non-homogeneous 2D ruler learning models.
Comput. Electr. Eng., 2016


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