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ORCIDDan Lu 0001
Person information
- affiliation: Oak Ridge National Laboratory, Department of Computer Science and Mathmatics, TN, USA
- affiliation (PhD 2012): Florida State University, Tallahassee, FL, USA
Other persons with the same name
- Dan Lu — disambiguation page
- Dan Lu 0002 — Digital Art, Indianapolis, IN, USA (and 1 more)
- Dan Lu 0003 — Xi'an Jiaotong University, Smiles Laboratory, China
- Dan Lu 0004
![[0000-0001-6410-8422]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6410-8422")
— Harbin Engineering University, College of Computer Science and Technology, China - Dan Lu 0005 — Civil Aviation University of China, Tianjin, China
- Dan Lu 0006 — Shandong University, School of Control Science and Engineering, Jinan, China
- Dan Lu 0007 — State Grid Henan Economic Research Institute, Zhengzhou, China (and 1 more)
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2020 – today
- 2024
[i4]Minglei Yang, Pengjun Wang, Ming Fan, Dan Lu, Yanzhao Cao, Guannan Zhang:
Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation. CoRR abs/2404.00502 (2024)- 2023
- [j3]Ming Fan, Siyan Liu, Dan Lu, Sudershan Gangrade, Shih-Chieh Kao:
Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification. Environ. Model. Softw. 170: 105849 (2023) - 2022
- [c8]Hoang Tran, Dan Lu, Guannan Zhang:
Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack. ECCV (5) 2022: 317-334 - [c7]Ming Fan, Lujun Zhang, Siyan Liu, Tiantian Yang, Dan Lu:
Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods. ICDM (Workshops) 2022: 1102-1110 - [c6]Siyan Liu, Dan Lu, Daniel M. Ricciuto, Anthony P. Walker:
Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning. ICDM (Workshops) 2022: 1111-1119 - [c5]Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang:
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks. ICLR 2022 - 2021
- [c4]Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang:
Enabling long-range exploration in minimization of multimodal functions. UAI 2021: 1639-1649 - [i3]Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang:
PI3NN: Prediction intervals from three independently trained neural networks. CoRR abs/2108.02327 (2021) - 2020
- [c3]Dan Lu, Daniel M. Ricciuto:
Efficient Distance-based Global Sensitivity Analysis for Terrestrial Ecosystem Modeling. ICDM (Workshops) 2020: 324-332 - [i2]Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang:
A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization. CoRR abs/2002.03001 (2020)
2010 – 2019
- 2019
- [j2]Shaoxing Mo, Xiaoqing Shi, Dan Lu, Ming Ye, Jichun Wu:
An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling. Comput. Geosci. 125: 69-77 (2019) - [c2]Dan Lu, Siyan Liu, Daniel M. Ricciuto:
An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science. ICDM Workshops 2019: 270-278 - [c1]Dan Lu, Daniel M. Ricciuto:
Learning-Based Inversion-Free Model-Data Integration to Advance Ecosystem Model Prediction. ICDM Workshops 2019: 279-287 - [i1]Dan Lu, Daniel M. Ricciuto:
Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques. CoRR abs/1901.05125 (2019) - 2014
- [j1]Dan Lu, Ming Ye, Mary C. Hill, Eileen P. Poeter, Gary P. Curtis:
A computer program for uncertainty analysis integrating regression and Bayesian methods. Environ. Model. Softw. 60: 45-56 (2014)
Coauthor Index
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last updated on 2024-06-05 23:16 CEST by the dblp team
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