Yuxiao Ren

According to our database, Yuxiao Ren authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Retrieval-Augmented Sketch-Guided 3D Building Generation.

Zhengyang Wang, Nuttapong Rochanavibhata, Yuxiao Ren, Xusheng Du, Ye Zhang, Haoran Xie

CoRR, March, 2026

2025

From Architectural Sketch to Conceptual Representation: Using Structure-Aware Diffusion Model to Generate Renderings of School Buildings.

Zhengyang Wang, Hao Jin, Xusheng Du, Yuxiao Ren, Ye Zhang, Haoran Xie

CoRR, March, 2025

Reinforcement Learning Based UAV Swarm Enabled 3-D Multimodal Jamming Detection.

Qiaoxin Chen, Pengcheng Wang, Liang Xiao, Jieling Li, Yuxiao Ren, Zefang Lv, Hongbin Jin

Proceedings of the IEEE International Conference on Communications, 2025

2024

Joint Inversion of Seismic and Resistivity Data Powered by Deep Learning.

Yuxiao Ren, Benchao Liu, Bin Liu, Zhengyu Liu, Peng Jiang

IEEE Trans. Geosci. Remote. Sens., 2024

Deep Learning-Based Optimization Framework for Full-Waveform Inversion in Tunnels.

Peng Jiang, Shuai Cao, Shiyu Guo, Yuxiao Ren, Yong Li

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Differential game model of cooperative advertising in a supply chain with deteriorating items, competing retailers and reference price effects.

Chunhai Yu, Yuxiao Ren, Thomas W. Archibald

Enterp. Inf. Syst., January, 2023

Well-Log Information-Assisted High-Resolution Waveform Inversion Based on Deep Learning.

Senlin Yang, Tariq Alkhalifah, Yuxiao Ren, Bin Liu, Yuanyuan Li, Peng Jiang

IEEE Geosci. Remote. Sens. Lett., 2023

Reinforcement Learning Based Friendly Jamming for Digital Twins Against Active Eavesdropping.

Kunze Li, Yuxiao Ren, Zhiping Lin, Liang Xiao

Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

2022

Optimal staggered-grid finite-difference method for wave modeling based on artificial neural networks.

Xu Guo, Jiansen Wang, Senlin Yang, Yuxiao Ren

Comput. Math. Appl., 2022

2021

GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings.

Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang

IEEE Trans. Geosci. Remote. Sens., 2021

Building Complex Seismic Velocity Models for Deep Learning Inversion.

Yuxiao Ren, Lichao Nie, Senlin Yang, Peng Jiang, Yangkang Chen

IEEE Access, 2021

2020

Deep Learning Inversion of Electrical Resistivity Data.

Bin Liu, Qian Guo, Shucai Li, Benchao Liu, Yuxiao Ren, Yonghao Pang, Xu Guo, Lanbo Liu, Peng Jiang

IEEE Trans. Geosci. Remote. Sens., 2020

Deep-Learning Inversion of Seismic Data.

Shucai Li, Bin Liu, Yuxiao Ren, Yangkang Chen, Senlin Yang, Yunhai Wang, Peng Jiang

IEEE Trans. Geosci. Remote. Sens., 2020

A Physics-Based Neural-Network Way to Perform Seismic Full Waveform Inversion.

Yuxiao Ren, Xinji Xu, Senlin Yang, Lichao Nie, Yangkang Chen

IEEE Access, 2020

2019

GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining.

Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang

CoRR, 2019

Deep Learning Inversion of Electrical Resistivity Data.

Bin Liu, Qian Guo, Shucai Li, Benchao Liu, Yuxiao Ren, Yonghao Pang, Lanbo Liu, Peng Jiang

CoRR, 2019