Zhuoxuan Li

Orcid: 0000-0002-2096-6414

According to our database1, Zhuoxuan Li authored at least 15 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Deep Reinforcement Learning Using Optimized Monte Carlo Tree Search in EWN.
IEEE Trans. Games, September, 2024

A multidimensional framework for asphalt pavement evaluation based on multilayer network representation learning: A case study in RIOHTrack.
Expert Syst. Appl., March, 2024

A Tracking Approach of a Moving Ferromagnetic Object Using Triaxial Search Coil Data.
IEEE Trans. Geosci. Remote. Sens., 2024

Modeling rutting depth on RIOHTrack asphalt pavement using Circle LSTMs.
Expert Syst. Appl., 2024

Embedding Attribute Scattering Center with Convolutional Prototype Learninig for SAR Open-Set Recognition.
Proceedings of the IGARSS 2024, 2024

2023
A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack.
IEEE CAA J. Autom. Sinica, October, 2023

Self-Adaptive Filtering for Ultra-Large-Scale Airborne LiDAR Data in Urban Environments Based on Object Primitive Global Energy Minimization.
Remote. Sens., August, 2023

QPSO-AHES-RC: a hybrid learning model for short-term traffic flow prediction.
Soft Comput., July, 2023

An Augmented Model of Rutting Data Based on Radial Basis Neural Network.
Symmetry, 2023

Optimal Design of Neural Network Structure for Power System Frequency Security Constraints.
CoRR, 2023

2022
Estimating Locations and Moments of Multiple Dipole-Like Magnetic Sources From Magnetic Gradient Tensor Data Using Differential Evolution.
IEEE Trans. Geosci. Remote. Sens., 2022

A Self-Adaptive Optimization Individual Tree Modeling Method for Terrestrial LiDAR Point Clouds.
Remote. Sens., 2022

Control principle and error estimation for inverse trajectory method under locating error with optimization.
Math. Comput. Simul., 2022

Maskformer with Improved Encoder-Decoder Module for Semantic Segmentation of Fine-Resolution Remote Sensing Images.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Building Extraction from Airborne LiDAR Data Based on Multi-Constraints Graph Segmentation.
Remote. Sens., 2021


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