Yankai Cao

Orcid: 0000-0001-9014-2552

According to our database1, Yankai Cao authored at least 23 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics.
Comput. Chem. Eng., September, 2023

High-Order Tensor Recovery with A Tensor U<sub>1</sub> Norm.
CoRR, 2023

A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets.
CoRR, 2023

A Global Optimization Algorithm for K-Center Clustering of One Billion Samples.
CoRR, 2023

2022
An efficient improved African vultures optimization algorithm with dimension learning hunting for traveling salesman and large-scale optimization applications.
Int. J. Intell. Syst., December, 2022

Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability.
Reliab. Eng. Syst. Saf., 2022

A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization.
CoRR, 2022

Deep Learning-based Predictive Control of Battery Management for Frequency Regulation.
CoRR, 2022

Using stochastic programming to train neural network approximation of nonlinear MPC laws.
Autom., 2022

Soft Sensor Change Point Detection and Root Causal Analysis.
Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

Global Optimal K-Medoids Clustering of One Million Samples.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Global Optimization of K-Center Clustering.
Proceedings of the International Conference on Machine Learning, 2022

Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics.
Proceedings of the American Control Conference, 2022

2021
Supply reliability assessment of a gas pipeline network under stochastic demands.
Reliab. Eng. Syst. Saf., 2021

Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty.
Comput. Chem. Eng., 2021

A Scalable Deterministic Global Optimization Algorithm for Clustering Problems.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
A scalable global optimization algorithm for stochastic nonlinear programs.
J. Glob. Optim., 2019

Graph-based modeling and simulation of complex systems.
Comput. Chem. Eng., 2019

2017
Scalable modeling and solution of stochastic multiobjective optimization problems.
Comput. Chem. Eng., 2017

2016
Clustering-based preconditioning for stochastic programs.
Comput. Optim. Appl., 2016

An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units.
Comput. Chem. Eng., 2016

2014
An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition.
Comput. Chem. Eng., 2014


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