Ding Xia

According to our database, Ding Xia authored at least 17 papers between 2014 and 2024.

Collaborative distances:

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

2024

A Novel Approach to Enhance Landslide Displacement Prediction with Finer Monitoring Data: A Case Study of the Baijiabao Landslide.

Ding Xia, Huiming Tang, Thomas Glade

Remote. Sens., February, 2024

SpaceEditing: A Latent Space Editing Interface for Integrating Human Knowledge into Deep Neural Networks.

Jiafu Wei, Ding Xia, Haoran Xie, Chia-Ming Chang, Chuntao Li, Xi Yang

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Porygon: Scaling Blockchain via 3D Parallelism.

Wuhui Chen, Ding Xia, Zhongteng Cai, Hong-Ning Dai, Jianting Zhang, Zicong Hong, Junyuan Liang, Zibin Zheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

PairingNet: A Learning-Based Pair-Searching and -Matching Network for Image Fragments.

Rixin Zhou, Ding Xia, Yi Zhang, Honglin Pang, Xi Yang, Chuntao Li

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

A two-step surface-based 3D deep learning pipeline for segmentation of intracranial aneurysms.

Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi

Comput. Vis. Media, 2023

PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments.

Rixin Zhou, Ding Xia, Yi Zhang, Honglin Pang, Xi Yang, Chuntao Li

CoRR, 2023

2022

Landslide Susceptibility Mapping Based on the Germinal Center Optimization Algorithm and Support Vector Classification.

Ding Xia, Huiming Tang, Sixuan Sun, Chunyan Tang, Bocheng Zhang

Remote. Sens., 2022

SDZM: Software for determining shear damage zones of rock joints.

Ding Xia, Yunfeng Ge, Huiming Tang, Bocheng Zhang, Peiwu Shen

Comput. Geosci., 2022

A comprehensive comparison among metaheuristics (MHs) for geohazard modeling using machine learning: Insights from a case study of landslide displacement prediction.

Junwei Ma, Ding Xia, Yankun Wang, Xiaoxu Niu, Sheng Jiang, Zhiyang Liu, Haixiang Guo

Eng. Appl. Artif. Intell., 2022

SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing.

Jiafu Wei, Ding Xia, Haoran Xie, Chia-Ming Chang, Chuntao Li, Xi Yang

CoRR, 2022

Data-Driven Multi-modal Partial Medical Image Preregistration by Template Space Patch Mapping.

Ding Xia, Xi Yang, Oliver van Kaick, Taichi Kin, Takeo Igarashi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

A Novel Model for Landslide Displacement Prediction Based on EDR Selection and Multi-Swarm Intelligence Optimization Algorithm.

Junrong Zhang, Huiming Tang, Dwayne D. Tannant, Chengyuan Lin, Ding Xia, Yankun Wang, Qianyun Wang

Sensors, 2021

2020

A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR - Cases Studied in the Three Gorges Reservoir Area.

Junrong Zhang, Huiming Tang, Tao Wen, Junwei Ma, Qinwen Tan, Ding Xia, Xiao Liu, Yongquan Zhang

Sensors, 2020

Experimental Investigation of the Physical Properties and Microstructure of Slate under Wetting and Drying Cycles Using Micro-CT and Ultrasonic Wave Velocity Tests.

Junwei Ma, Xiaoxu Niu, Chengren Xiong, Sha Lu, Ding Xia, Bocheng Zhang, Huiming Tang

Sensors, 2020

Surface-based 3D Deep Learning Framework for Segmentation of Intracranial Aneurysms from TOF-MRA Images.

Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi

CoRR, 2020

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning.

Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2014

Concurrent saturation transfer contrast in in vivo brain by a uniform magnetization transfer MRI.

Jae-Seung Lee, Ding Xia, Yulin Ge, Alexej Jerschow, Ravinder R. Regatte

NeuroImage, 2014