Susu Xu
Susu Xu
State University of New York at Stony Brook
Verified email at - Homepage
Cited by
Cited by
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition, 129-153, 2020
Collaboratively adaptive vibration sensing system for high-fidelity monitoring of structural responses induced by pedestrians
S Pan, S Xu, M Mirshekari, P Zhang, HY Noh
Frontiers in Built Environment 3, 28, 2017
MedAL: Accurate and robust deep active learning for medical image analysis
A Smailagic, P Costa, HY Noh, D Walawalkar, K Khandelwal, A Galdran, ...
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
iLOCuS: Incentivizing vehicle mobility to optimize sensing distribution in crowd sensing
S Xu, X Chen, X Pi, C Joe-Wong, P Zhang, HY Noh
IEEE Transactions on Mobile Computing, 2019
Robust building energy load forecasting using physically-based kernel models
AK Prakash, S Xu, R Rajagopal, HY Noh
Energies 11 (4), 862, 2018
O‐MedAL: Online active deep learning for medical image analysis
A Smailagic, P Costa, A Gaudio, K Khandelwal, M Mirshekari, J Fagert, ...
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (4 …, 2020
PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing
X Chen, S Xu, J Han, H Fu, X Pi, C Joe-Wong, Y Li, L Zhang, HY Noh, ...
IEEE Internet of Things Journal 7 (5), 3719-3734, 2020
Vehicle dispatching for sensing coverage optimization in mobile crowdsensing systems
S Xu, X Chen, X Pi, C Joe-Wong, P Zhang, HY Noh
2019 18th ACM/IEEE International Conference on Information Processing in …, 2019
Stackelberg gan: Towards provable minimax equilibrium via multi-generator architectures
H Zhang, S Xu, J Jiao, P Xie, R Salakhutdinov, EP Xing
arXiv preprint arXiv:1811.08010, 2018
Medal: Deep active learning sampling method for medical image analysis
A Smailagic, HY Noh, P Costa, D Walawalkar, K Khandelwal, ...
arXiv preprint arXiv:1809.09287, 2018
An information-theoretic approach for indirect train traffic monitoring using building vibration
S Xu, L Zhang, P Zhang, HY Noh
Frontiers in Built Environment 3, 22, 2017
An indirect traffic monitoring approach using building vibration sensing system
S Xu, L Zhang, P Zhang, HY Noh
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD …, 2016
Incentivizing vehicular crowdsensing system for large scale smart city applications
S Xu, X Chen, X Pi, C Joe-Wong, P Zhang, HY Noh
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2019
An Incentive Mechanism for Crowd Sensing with Colluding Agents
S Xu, W Mao, Y Cao, HY Noh, NB Shah, 2018
ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data.
T Yu, S Pan, S Xu, X Chen, M Mirshekari, J Fagert, HY Noh, P Zhang, ...
AAAI Workshops, 202-208, 2018
An expectation-maximization algorithm-based framework for vehicle-vibration-based indirect structural health monitoring of bridges
J Liu, S Xu, M Bergés, J Bielak, JH GARRETT, HY Noh
Structural Health Monitoring 2019, 2019
PhyMDAN: Physics-informed knowledge transfer between buildings for seismic damage diagnosis through adversarial learning
S Xu, HY Noh
Mechanical Systems and Signal Processing 151, 107374, 2020
Using Mobile Sensing to Enable the Signal Quality Assessment for Infrastructure Sensing Systems
Y Zhang, S Xu, L Shi, S Pan
Proceedings of the 21st International Workshop on Mobile Computing Systems …, 2020
Knowledge Transfer Between Buildings for Post-Earthquake Damage Diagnosis Without Historical Data
Structural Health Monitoring 2019, 2019
Fusing Damage Proxy Maps with Geospatial Models for Bayesian Updating of Seismic Ground Failure Estimations: A Case Study in Central Italy
S Xu, J Dimasaka, DJ Wald, HY Noh
EGU21, 2021
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