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 009; Renyi Liu (Comput. Environ. Urban Syst., 2020)

Predicting the Preference for Sad Music: The Role of Gender, Personality, and Audio Features. - Liuchang Xu; Ye Zheng; Dayu Xu; Liang Xu 013 (IEEE Access, 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)

Using machine learning analysis to interpret the relationship between music emotion and lyric features. - Liang Xu 013; Zaoyi Sun; Xin Wen; Zhengxi Huang; Chi-ju Chao; Liuchang Xu (PeerJ Comput. Sci., 2021)

A deep trajectory clustering method based on sequence-to-sequence autoencoder model. - Chao Wang; Fangzheng Lyu; Sensen Wu; Yuanyuan Wang; Liuchang Xu; Feng Zhang 009; Shaowen Wang 001; Yongheng Wang; Zhenhong Du (Trans. GIS, 2022)

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 013; Jing Yang; Yuanyuan Wang; Liuchang Xu (ISPRS Int. J. Geo Inf., 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., 2023)

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)

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)

ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing. - Qingming Lin; Rui Hu; Huaxia Li; Sensen Wu; Yadong Li; Kai Fang 001; Hailin Feng; Zhenhong Du; Liuchang Xu (CoRR, 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)

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)

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)

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., 2025)