4 citations · 4 across the 1 of their papers we have counts for
6 papers
Bayesian Updating of Seismic Ground Failure Estimates via Causal Graphical Models and Satellite Imagery
Susu Xu, Joshua Dimasaka, David J. Wald +1
Earthquake-induced secondary ground failure hazards, such as liquefaction and landslides, result in catastrophic building and infrastructure damage as well as human fatalities. To…
Knowledge Transfer between Buildings for Seismic Damage Diagnosis through Adversarial Learning
Susu Xu, Hae Young Noh
Automated structural damage diagnosis after earthquakes is important for improving the efficiency of disaster response and rehabilitation. In conventional data-driven frameworks wh…
O-MedAL: Online Active Deep Learning for Medical Image Analysis
Asim Smailagic, Pedro Costa, Alex Gaudio +9
Active Learning methods create an optimized labeled training set from unlabeled data. We introduce a novel Online Active Deep Learning method for Medical Image Analysis. We extend…
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures
Hongyang Zhang, Susu Xu, Jiantao Jiao +3
We study the problem of alleviating the instability issue in the GAN training procedure via new architecture design. The discrepancy between the minimax and maximin objective value…
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis
Asim Smailagic, Hae Young Noh, Pedro Costa +6
Deep learning models have been successfully used in medical image analysis problems but they require a large amount of labeled images to obtain good performance.Deep learning model…
An Incentive Mechanism for Crowd Sensing with Colluding Agents
Susu Xu, Weiguang Mao, Yue Cao +2
Vehicular mobile crowd sensing is a fast-emerging paradigm to collect data about the environment by mounting sensors on vehicles such as taxis. An important problem in vehicular cr…