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Hao Xu
Hao Xu
Visa Research; UIUC
在 illinois.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Probabilistic capacity and seismic demand models and fragility estimates for reinforced concrete buildings based on three-dimensional analyses
H Xu, P Gardoni
Engineering Structures 112, 200-214, 2016
642016
Probabilistic demand models and fragilities for reinforced concrete frame structures subject to mainshock-aftershock sequences
Z Zhou, H Xu, P Gardoni, D Lu, X Yu
Engineering Structures 245, 2021
372021
Improved latent space approach for modelling non-stationary spatial–temporal random fields
H Xu, P Gardoni
Spatial Statistics 23, 160-181, 2018
322018
Seismic demand and capacity models, and fragility estimates for underground structures considering spatially varying soil properties
Z He, H Xu, P Gardoni, Y Zhou, Y Wang, Z Zhao
Tunnelling and Underground Space Technology 119, 2021
262021
Multi-level, multi-variate, non-stationary, random field modeling and fragility analysis of engineering systems
H Xu, P Gardoni
Structural Safety 87, 101999, 2020
262020
Conditional formulation for the calibration of multi-level random fields with incomplete data
H Xu, P Gardoni
Reliability Engineering & System Safety 204, 107121, 2020
192020
Probabilistic formulation for storm surge predictions
A Contento, H Xu, P Gardoni
Structure and Infrastructure Engineering 16 (4), 547-566, 2020
192020
Risk analysis for hurricanes accounting for the effects of climate change
A Contento, H Xu, P Gardoni
Climate adaptation engineering, 39-72, 2019
152019
A physics-based transportable probabilistic model for climate change dependent storm surge
A Contento, H Xu, P Gardoni
Routledge Handbook of Sustainable and Resilient Infrastructure, 662-682, 2018
62018
Probabilistic Moment Bearing Capacity Model and Fragility of Beam-Column Joints with Cast Steel Stiffeners
X Li, H Xu
Buildings 12 (5), 577, 2022
12022
COUNTERPARTY AWARENESS USER BEHAVIOR EXTRACTION FRAMEWORK
C Liu, Y Zhao, H Xu, S Agrawal, C Chetia
2024
Explainable Feature Drift Monitoring System for Predictive Machine Learning Models
H Xu, C Liu, C Chetia
https://www.tdcommons.org/cgi/viewcontent.cgi?article=7705&context=dpubs_series, 2024
2024
An Efficient Selective Ensemble Learning with Rejection Approach for Classification
H Xu, C Chetia
32nd ACM International Conference on Information and Knowledge Management …, 2023
2023
Robust and Scalable Inference for Stochastic Processes
R Molinari, V FESER, M PIA, H Xu
2023 IMS International Conference on Statistics and Data Science (ICSDS …, 2023
2023
A SYSTEM FOR MULTI-LEVEL, MULTI-VARIATE EMBEDDING FRAMEWORK FOR RISK SCORING
HAO XU, A TANGRI, C CHETIA
2023
Multi-level, multi-variate, non-stationary, random field modeling of engineering systems
H Xu
University of Illinois at Urbana-Champaign, 2020
2020
Modeling the climate change effects on storm surge with metamodels
A Contento, H Xu, P Gardoni, S Guerrier
Life Cycle Analysis and Assessment in Civil Engineering: Towards an …, 2018
2018
On the parameters and damage potentials of high-amplitude ground motions
L Xu, H Xu, L Xie
Journal of Harbin Institute of Technology 45, 682-688, 2013
2013
Seismic design parameters derived from typical near-fault strong motions
L Xu, H Zhang, H Xu, L Xie
Journal of Seismology and Earthquake Engineering 14, 239-250, 2012
2012
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