Ling Zhao

Orcid: 0000-0002-6103-1113

Affiliations:
  • Central South University, School of Geosciences and Info-Physics, Changsha, China


According to our database1, Ling Zhao authored at least 33 papers between 2017 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Causal invariant geographic network representations with feature and structural distribution shifts.
Future Gener. Comput. Syst., 2025

2024
Conditional Diffusion Model for Urban Morphology Prediction.
Remote. Sens., May, 2024

Road Extraction Method of Remote Sensing Image Based on Deformable Attention Transformer.
Symmetry, April, 2024

A Region-Adaptive Local Perturbation-Based Method for Generating Adversarial Examples in Synthetic Aperture Radar Object Detection.
Remote. Sens., March, 2024

SeFi-CD: A Semantic First Change Detection Paradigm That Can Detect Any Change You Want.
Remote. Sens., 2024

CAT: A causal graph attention network for trimming heterophilic graphs.
Inf. Sci., 2024

SeFi-CD: A Semantic First Change Detection Paradigm That Can Detect Any Change You Want.
CoRR, 2024

RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding.
CoRR, 2024

2023
Self-Supervised Spatiotemporal Masking Strategy-Based Models for Traffic Flow Forecasting.
Symmetry, November, 2023

Ollivier-Ricci Curvature Based Spatio-Temporal Graph Neural Networks for Traffic Flow Forecasting.
Symmetry, April, 2023

Continual Learning for Remote Sensing Image Scene Classification With Prompt Learning.
IEEE Geosci. Remote. Sens. Lett., 2023

CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph.
CoRR, 2023

2022
OrtDet: An Orientation Robust Detector via Transformer for Object Detection in Aerial Images.
Remote. Sens., December, 2022

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., 2022

High-Order Topology-Enhanced Graph Convolutional Networks for Dynamic Graphs.
Symmetry, 2022

STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph.
CoRR, 2022

2021
Analysis of the Temporal and Spatial Characteristics of Material Cultural Heritage Driven by Big Data - Take Museum Relics as an Example.
Inf., 2021

Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning.
ISPRS Int. J. Geo Inf., 2021

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting.
ISPRS Int. J. Geo Inf., 2021

AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting.
IEEE Access, 2021

Student Program Classification Using Gated Graph Attention Neural Network.
IEEE Access, 2021

2020
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., 2020

Urban Multi-Source Spatio-Temporal Data Analysis Aware Knowledge Graph Embedding.
Symmetry, 2020

Automatic Changes Detection between Outdated Building Maps and New VHR Images Based on Pre-Trained Fully Convolutional Feature Maps.
Sensors, 2020

RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data.
Sensors, 2020

Analysis of Cultural Meme Characteristics for Big Data of Cultural Relics.
Inf., 2020

Research on travel network structure based on normalised Laplacian spectrum.
Int. J. Comput. Sci. Math., 2020

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting.
CoRR, 2020

AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting.
CoRR, 2020

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting.
CoRR, 2020

2019
Analysis of spatial information service composition network based on Ricci curvature.
Int. J. Internet Protoc. Technol., 2019

2018
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method.
CoRR, 2018

2017
A Probabilistic Embedding Clustering Method for Urban Structure Detection.
CoRR, 2017


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