I am a first-year Ph.D. student in the Department of Geography and the Environment at the University of Texas at Austin, advised by Dr. Gengchen Mai. My research focuses on Geospatial AI and Intelligent Earth Observation, with particular emphasis on geo-foundation models, spatial representation learning, and efficient large-scale, high-resolution remote sensing mapping.

You can access my curriculum vitae here.

Publications

Torchspatial: A location encoding framework and benchmark for spatial representation learning
Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai
arXiv preprint arXiv:2406.15658, 2024
paper

Four seasonal composite Sentinel-2 images for the large-scale estimation of the number of stories in each individual building
Siqing Lyu, Chao Ji, Zeping Liu, Hong Tang, Liqiang Zhang, Xin Yang
Remote Sensing of Environment, 2024
paper

CALIPSO-based aerosol extinction profile estimation from MODIS and MERRA-2 data using a hybrid model of Transformer and CNN
Yang Zhen, Xin Yang, Hong Tang, Haoze Shi, Zeping Liu
Science of The Total Environment, 2024
paper

China Building Rooftop Area: the first multi-annual (2016–2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with super-resolution segmentation from Sentinel-2 imagery
Zeping Liu, Hong Tang, Lin Feng, Siqing Lyu
Earth System Science Data, 2023
paper

National-scale mapping of building footprints using feature super-resolution semantic segmentation of Sentinel-2 images
Lin Feng, Penglei Xu, Hong Tang, Zeping Liu, Peng Hou
GIScience & Remote Sensing, 2023
paper

Learning sparse geometric features for building segmentation from low-resolution remote-sensing images
Zeping Liu, Hong Tang
Remote Sensing, 2023
paper

Building outline delineation from VHR remote sensing images using the convolutional recurrent neural network embedded with line segment information
Zeping Liu, Hong Tang, Wei Huang
IEEE Transactions on Geoscience and Remote Sensing, 2022
paper

Sequentially delineation of rooftops with holes from VHR aerial images using a convolutional recurrent neural network
Wei Huang, Zeping Liu, Hong Tang, Jiayi Ge
Remote Sensing, 2021
paper

AFM-RNN: A sequent prediction model for delineating building rooftops from remote sensing images by integrating RNN with attraction field map
Zeping Liu, Hong Tang, Wei Huang
Pattern Recognition and Computer Vision: 4th Chinese Conference, 2021
paper

Awards

Servies