| 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 | 64 | 2016 |
| 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 | 37 | 2021 |
| Improved latent space approach for modelling non-stationary spatial–temporal random fields H Xu, P Gardoni Spatial Statistics 23, 160-181, 2018 | 32 | 2018 |
| 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 | 26 | 2021 |
| Multi-level, multi-variate, non-stationary, random field modeling and fragility analysis of engineering systems H Xu, P Gardoni Structural Safety 87, 101999, 2020 | 26 | 2020 |
| Conditional formulation for the calibration of multi-level random fields with incomplete data H Xu, P Gardoni Reliability Engineering & System Safety 204, 107121, 2020 | 19 | 2020 |
| Probabilistic formulation for storm surge predictions A Contento, H Xu, P Gardoni Structure and Infrastructure Engineering 16 (4), 547-566, 2020 | 19 | 2020 |
| Risk analysis for hurricanes accounting for the effects of climate change A Contento, H Xu, P Gardoni Climate adaptation engineering, 39-72, 2019 | 15 | 2019 |
| 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 | 6 | 2018 |
| Probabilistic Moment Bearing Capacity Model and Fragility of Beam-Column Joints with Cast Steel Stiffeners X Li, H Xu Buildings 12 (5), 577, 2022 | 1 | 2022 |
| 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 |
Paolo GardoniAlfredo H. Ang Family Professor, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Paolo GardoniAlfredo H. Ang Family Professor, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Da-Gang LuHarbin Institute of Technology在 hit.edu.cn 的电子邮件经过验证