activity
20182022
most citedPolicy Synthesis for Factored MDPs with Graph Temporal Logic Specifications

6 citations · 23 across the 11 of their papers we have counts for

collaborators

16 papers

eess.SY20221 cited

Distributed Differentially Private Control Synthesis for Multi-Agent Systems with Metric Temporal Logic Specifications

Nasim Baharisangari, Zhe Xu

In this paper, we propose a distributed differentially private receding horizon control (RHC) approach for multi-agent systems (MAS) with metric temporal logic (MTL) specifications…

cs.CV2020

Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance

Zhe Xu, Jiangpeng Yan, Jie Luo +2

Multimodal image registration (MIR) is a fundamental procedure in many image-guided therapies. Recently, unsupervised learning-based methods have demonstrated promising performance…

cs.CV20203 cited

Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks

Zhe Xu, Jiangpeng Yan, Jie Luo +3

The loss function of an unsupervised multimodal image registration framework has two terms, i.e., a metric for similarity measure and regularization. In the deep learning era, rese…

cs.LG2020

Real-time and Large-scale Fleet Allocation of Autonomous Taxis: A Case Study in New York Manhattan Island

Yue Yang, Wencang Bao, Mohsen Ramezani +1

Nowadays, autonomous taxis become a highly promising transportation mode, which helps relieve traffic congestion and avoid road accidents. However, it hinders the wide implementati…

eess.IV2020

F3RNet: Full-Resolution Residual Registration Network for Deformable Image Registration

Zhe Xu, Jie Luo, Jiangpeng Yan +2

Deformable image registration (DIR) is essential for many image-guided therapies. Recently, deep learning approaches have gained substantial popularity and success in DIR. Most dee…

eess.IV20203 cited

Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration

Zhe Xu, Jie Luo, Jiangpeng Yan +4

Deformable image registration between Computed Tomography (CT) images and Magnetic Resonance (MR) imaging is essential for many image-guided therapies. In this paper, we propose a…