Zeping Liu

According to our database, Zeping Liu authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

Dynamic event-triggered mechanism-based fixed-time collision avoidance-containment control for multiple unmanned surface vehicles.

Tao Wu, Zhengjiang Liu, Guoyou Shi, Zeping Liu

J. Frankl. Inst., 2026

ECA-RepNet: A Lightweight Coal-Rock Recognition Network Using Recurrence Plot Transformation.

Jianping Zhou, Zhixin Jin, Hongwei Wang, Wenyan Cao, Xipeng Gu, Qingyu Kong, Jianzhong Li, Zeping Liu

Inf., 2026

2025

GeoBS: Information-Theoretic Quantification of Geographic Bias in AI Models.

Zhangyu Wang, Nemin Wu, Qian Cao, Jiangnan Xia, Zeping Liu, Yiqun Xie, Akshay Uttama Nambi, Tanuja Ganu, Ni Lao, Ninghao Liu, Gengchen Mai

CoRR, September, 2025

LocDiffusion: Identifying Locations on Earth by Diffusing in the Hilbert Space.

Zhangyu Wang, Jielu Zhang, Zhongliang Zhou, Qian Cao, Nemin Wu, Zeping Liu, Lan Mu, Yang Song, Yiqun Xie, Ni Lao, Gengchen Mai

CoRR, March, 2025

GAIR: Improving Multimodal Geo-Foundation Model with Geo-Aligned Implicit Representations.

Zeping Liu, Fan Zhang, Junfeng Jiao, Ni Lao, Gengchen Mai

CoRR, March, 2025

Intelligent fault diagnosis of nonlinear uncertain industrial processes based on kernel local-global interval embedding algorithm.

Ning Li, Hua Ding, Xiaochun Sun, Zeping Liu

Eng. Appl. Artif. Intell., 2025

Towards the next generation of Geospatial Artificial Intelligence.

Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu, Zeping Liu, Yao-Yi Chiang, Junfeng Jiao

Int. J. Appl. Earth Obs. Geoinformation, 2025

2024

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 Angela Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

TorchSpatial: A Python Package for Spatial Representation Learning and Geo-Aware Model Development.

Qian Cao, Nemin Wu, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Angela Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, 2024

2023

Learning Sparse Geometric Features for Building Segmentation from Low-Resolution Remote-Sensing Images.

Zeping Liu, Hong Tang

Remote. Sens., April, 2023

2022

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 Trans. Geosci. Remote. Sens., 2022

Some novel distance measures between dual hesitant fuzzy sets and their application in medical diagnosis.

Wenyi Zeng, Rong Ma, Zeping Liu, Yue Xi, Qian Yin, Zeshui Xu

Int. J. Intell. Syst., 2022

2021

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. Sens., 2021

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

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021