most citedDivergence Behavior of Thermodynamic Curvature Scalar at Critical Point in the Extended Phase Space of Generic Black Holes

18 citations · 48 across the 9 of their papers we have counts for

collaborators

9 papers

physics.med-ph2021★ 7 cited

Deep learning based CT-to-CBCT deformable image registration for autosegmentation in head and neck adaptive radiation therapy

Xiao Liang, Howard Morgan, Dan Nguyen +1

The purpose of this study is to develop a deep learning based method that can automatically generate segmentations on cone-beam CT (CBCT) for head and neck online adaptive radiatio…

math.DS2020★ 3 cited

Nonlinear Cooperative Control of Double Drone-Bar Transportation System

Peng Zhang, Yongchun Fang, Xiao Liang +2

Due to the limitation of the drone's load capacity, various specific tasks need to be accomplished by multiple drones in collaboration. In some transportation tasks, two drones are…

gr-qc2020★ 18 cited

Divergence Behavior of Thermodynamic Curvature Scalar at Critical Point in the Extended Phase Space of Generic Black Holes

Ya-Peng Hu, Liang Cai, Xiao Liang +2

The - phase transition and critical behavior in the extended phase space of asymptotic Anti-de Sitter (AdS) black holes have been widely investigated, in which four critical…

eess.SP2020★ 6 cited

A Nonparametric Unsupervised Learning Approach for Structural Damage Detection

Kareem Eltouny, Xiao Liang

In a world of aging infrastructure, structural health monitoring (SHM) emerges as a major step towards resilient and sustainable societies. The current advancements in machine lear…

eess.SP2020★ 5 cited

Deep Bayesian U-Nets for Efficient, Robust and Reliable Post-Disaster Damage Localization

Xiao Liang, Seyed Omid Sajedi

Post-disaster inspections are critical to emergency management after earthquakes. The availability of data on the condition of civil infrastructure immediately after an earthquake…

cs.RO2020

A Real-Time Receding Horizon Sequence Planner for Disassembly in A Human-Robot Collaboration Setting

Meng-Lun Lee, Sara Behdad, Xiao Liang +1

Product disassembly is a labor-intensive process and is far from being automated. Typically, disassembly is not robust enough to handle product varieties from different shapes, mod…

cs.RO2020

Including Image-based Perception in Disturbance Observer for Warehouse Drones

Zhu Chen, Xiao Liang, Minghui Zheng

Grasping and releasing objects would cause oscillations to delivery drones in the warehouse. To reduce such undesired oscillations, this paper treats the to-be-delivered object as…

physics.med-ph2020★ 9 cited

Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion

Xiao Liang, Dan Nguyen, Steve Jiang

Generalizability is a concern when applying a deep learning (DL) model trained on one dataset to other datasets. Training a universal model that works anywhere, anytime, for anybod…

cs.CR2020

RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning

Cheng Feng, Xiao Liang, Daniel Schneegass +1

Recent advances in the Internet of Things (IoT) technology have led to a surge on the popularity of sensing applications. As a result, people increasingly rely on information obtai…