Yankai Cao
Orcid: 0000-0001-9014-2552
According to our database1,
Yankai Cao
authored at least 26 papers
between 2014 and 2024.
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Bibliography
2024
Inf. Sci., 2024
CoRR, 2024
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
2023
Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics.
Comput. Chem. Eng., September, 2023
A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets.
CoRR, 2023
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
Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022
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
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
Reliab. Eng. Syst. Saf., 2021
Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty.
Comput. Chem. Eng., 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2019
J. Glob. Optim., 2019
2017
Comput. Chem. Eng., 2017
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