Yankai Cao

According to our database, Yankai Cao authored at least 27 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stable predictive control of continuous stirred-tank reactors using deep learning.

Shulei Zhang, Runda Jia, Yankai Cao, Dakuo He, Feng Yu

Inf. Sci., 2024

Causality-inspired Latent Feature Augmentation for Single Domain Generalization.

Jian Xu, Chaojie Ji, Yankai Cao, Ye Li, Ruxin Wang

CoRR, 2024

Stable Soft Sensor Modeling for Industrial Systems.

Liang Cao, Yankai Cao, R. Bhushan Gopaluni

Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

Bayesian-Driven Learning of A New Weighted Tensor Norm for Tensor Recovery.

Jingjing Zheng, Yankai Cao

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.

Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni

Comput. Chem. Eng., September, 2023

High-Order Tensor Recovery with A Tensor U₁ Norm.

Jingjing Zheng, Wenzhe Wang, Xiaoqin Zhang, Yankai Cao, Xianta Jiang

CoRR, 2023

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

Jiayang Ren, Valentín Osuna-Enciso, Morimasa Okamoto, Qiangqiang Mao, Chaojie Ji, Liang Cao, Kaixun Hua, Yankai Cao

CoRR, 2023

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

Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao

CoRR, 2023

2022

An efficient improved African vultures optimization algorithm with dimension learning hunting for traveling salesman and large-scale optimization applications.

Narinder Singh, Essam H. Houssein, Seyedali Mirjalili, Yankai Cao, Ganeshsree Selvachandran

Int. J. Intell. Syst., December, 2022

Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability.

Qian Chen, Lili Zuo, Changchun Wu, Yun Li, Kaixun Hua, Mahdi Mehrtash, Yankai Cao

Reliab. Eng. Syst. Saf., 2022

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

Ahmed Al Shafei, Hamidreza Zareipour, Yankai Cao

CoRR, 2022

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

Yun Li, Yixiu Wang, Yifu Chen, Kaixun Hua, Jiayang Ren, Ghazaleh Mozafari, Qiugang Lu, Yankai Cao

CoRR, 2022

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

Yun Li, Kaixun Hua, Yankai Cao

Autom., 2022

Soft Sensor Change Point Detection and Root Causal Analysis.

Liang Cao, R. Bhushan Gopaluni, Lim C. Siang, Yankai Cao, Jin Li

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.

Jiayang Ren, Kaixun Hua, Yankai Cao

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.

Kaixun Hua, Jiayang Ren, Yankai Cao

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.

Mingfei Shi, Kaixun Hua, Jiayang Ren, Yankai Cao

Proceedings of the International Conference on Machine Learning, 2022

Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics.

Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni

Proceedings of the American Control Conference, 2022

2021

Supply reliability assessment of a gas pipeline network under stochastic demands.

Qian Chen, Lili Zuo, Changchun Wu, Yankai Cao, Yaran Bu, Feng Chen, Rehan Sadiq

Reliab. Eng. Syst. Saf., 2021

Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty.

Qian Chen, Changchun Wu, Lili Zuo, Mahdi Mehrtash, Yixiu Wang, Yaran Bu, Rehan Sadiq, Yankai Cao

Comput. Chem. Eng., 2021

A Scalable Deterministic Global Optimization Algorithm for Clustering Problems.

Kaixun Hua, Mingfei Shi, Yankai Cao

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

A scalable global optimization algorithm for stochastic nonlinear programs.

Yankai Cao, Victor M. Zavala

J. Glob. Optim., 2019

Graph-based modeling and simulation of complex systems.

Jordan Jalving, Yankai Cao, Victor M. Zavala

Comput. Chem. Eng., 2019

2017

Scalable modeling and solution of stochastic multiobjective optimization problems.

Yankai Cao, Luis Fabián Fuentes-Cortés, Siyu Chen, Victor M. Zavala

Comput. Chem. Eng., 2017

2016

Clustering-based preconditioning for stochastic programs.

Yankai Cao, Carl D. Laird, Victor M. Zavala

Comput. Optim. Appl., 2016

An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units.

Yankai Cao, Arpan Seth, Carl D. Laird

Comput. Chem. Eng., 2016

2014

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

Jia Kang, Yankai Cao, Daniel P. Word, Carl D. Laird

Comput. Chem. Eng., 2014