Liuchang Xu

According to our database, Liuchang Xu authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Beyond extraction accuracy: addressing the quality of geographical named entity through advanced recognition and correction models using a modified BERT framework.

Liuchang Xu, Jiajun Zhang, Chengkun Zhang, Xinyu Zheng, Zhenhong Du, Xingyu Xue

Geo spatial Inf. Sci., May, 2025

Geographic Named Entity Matching and Evaluation Recommendation Using Multi-Objective Tasks: A Study Integrating a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG).

Jiajun Zhang, Junjie Fang, Chengkun Zhang, Wei Zhang, Huanbing Ren, Liuchang Xu

ISPRS Int. J. Geo Inf., 2025

Enhancing canopy nitrogen estimation in Torreya Grandis based on advanced SLIC-EVI and HMT-seCNN methods using hyperspectral UAV data.

Liuchang Xu, Xinyuan Su, Ketao Wang, Tong Zhou, Chenghao Lu, Junqi Niu, Xiaochen Jin, Jianqin Huang, Hailin Feng

Comput. Electron. Agric., 2025

2024

From Spectral Characteristics to Index Bands: Utilizing UAV Hyperspectral Index Optimization on Algorithms for Estimating Canopy Nitrogen Concentration in Carya Cathayensis Sarg.

Hailin Feng, Tong Zhou, Ketao Wang, Jianqin Huang, Hao Liang, Chenghao Lu, Yaoping Ruan, Liuchang Xu

Remote. Sens., 2024

ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing.

Qingming Lin, Rui Hu, Huaxia Li, Sensen Wu, Yadong Li, Kai Fang, Hailin Feng, Zhenhong Du, Liuchang Xu

CoRR, 2024

ControlCity: A Multimodal Diffusion Model Based Approach for Accurate Geospatial Data Generation and Urban Morphology Analysis.

Fangshuo Zhou, Huaxia Li, Rui Hu, Sensen Wu, Hailin Feng, Zhenhong Du, Liuchang Xu

CoRR, 2024

Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study.

Liuchang Xu, Shuo Zhao, Qingming Lin, Luyao Chen, Qianqian Luo, Sensen Wu, Xinyue Ye, Hailin Feng, Zhenhong Du

CoRR, 2024

2023

ChineseCTRE: A Model for Geographical Named Entity Recognition and Correction Based on Deep Neural Networks and the BERT Model.

Wei Zhang, Jingtao Meng, Jianhua Wan, Chengkun Zhang, Jiajun Zhang, Yuanyuan Wang, Liuchang Xu, Fei Li

ISPRS Int. J. Geo Inf., September, 2023

A Deep Transfer Learning Toponym Extraction and Geospatial Clustering Framework for Investigating Scenic Spots as Cognitive Regions.

Chengkun Zhang, Yiran Zhang, Jiajun Zhang, Junwei Yao, Hongjiu Liu, Tao He, Xinyu Zheng, Xingyu Xue, Liang Xu, Jing Yang, Yuanyuan Wang, Liuchang Xu

ISPRS Int. J. Geo Inf., 2023

2022

A deep trajectory clustering method based on sequence-to-sequence autoencoder model.

Chao Wang, Fangzheng Lyu, Sensen Wu, Yuanyuan Wang, Liuchang Xu, Feng Zhang, Shaowen Wang, Yongheng Wang, Zhenhong Du

Trans. GIS, 2022

2021

Using machine learning analysis to interpret the relationship between music emotion and lyric features.

Liang Xu, Zaoyi Sun, Xin Wen, Zhengxi Huang, Chi-ju Chao, Liuchang Xu

PeerJ Comput. Sci., 2021

A GloVe-Based POI Type Embedding Model for Extracting and Identifying Urban Functional Regions.

Chengkun Zhang, Liuchang Xu, Zhen Yan, Sensen Wu

ISPRS Int. J. Geo Inf., 2021

Predicting the Preference for Sad Music: The Role of Gender, Personality, and Audio Features.

Liuchang Xu, Ye Zheng, Dayu Xu, Liang Xu

IEEE Access, 2021

2020

GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature.

Liuchang Xu, Zhenhong Du, Ruichen Mao, Feng Zhang, Renyi Liu

Comput. Environ. Urban Syst., 2020