Yankai Cao

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Nonlinear Dynamics

Battery Management

Top Venues

Comput. Chem. Eng.

Reliab. Eng. Syst. Saf.

Publications

Jian Xu, Chaojie Ji, Yankai Cao, Ye Li, Ruxin Wang
Causality-inspired Latent Feature Augmentation for Single Domain Generalization. CoRR (2024)
Jingjing Zheng, Yankai Cao
Bayesian-Driven Learning of A New Weighted Tensor Norm for Tensor Recovery. Tiny Papers @ ICLR (2024)
Shulei Zhang, Runda Jia, Yankai Cao, Dakuo He, Feng Yu
Stable predictive control of continuous stirred-tank reactors using deep learning. Inf. Sci. 678 (2024)
Jiayang Ren, Valentín Osuna-Enciso, Morimasa Okamoto, Qiangqiang Mao, Chaojie Ji, Liang Cao, Kaixun Hua, Yankai Cao
A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets. CoRR (2023)
Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni
Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics. Comput. Chem. Eng. 177 (2023)
Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples. CoRR (2023)
Jingjing Zheng, Wenzhe Wang, Xiaoqin Zhang, Yankai Cao, Xianta Jiang
Norm. CoRR (2023)
Narinder Singh, Essam H. Houssein, Seyedali Mirjalili, Yankai Cao, Ganeshsree Selvachandran
An efficient improved African vultures optimization algorithm with dimension learning hunting for traveling salesman and large-scale optimization applications. Int. J. Intell. Syst. 37 (12) (2022)
Yun Li, Yixiu Wang, Yifu Chen, Kaixun Hua, Jiayang Ren, Ghazaleh Mozafari, Qiugang Lu, Yankai Cao
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation. CoRR (2022)
Jiayang Ren, Kaixun Hua, Yankai Cao
Global Optimal K-Medoids Clustering of One Million Samples. NeurIPS (2022)
Ahmed Al Shafei, Hamidreza Zareipour, Yankai Cao
A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization. CoRR (2022)
Yun Li, Kaixun Hua, Yankai Cao
Using stochastic programming to train neural network approximation of nonlinear MPC laws. Autom. 146 (2022)
Jingyi Wang, Jesús Moreira, Yankai Cao, Bhushan Gopaluni
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics. ACC (2022)
Liang Cao, R. Bhushan Gopaluni, Lim C. Siang, Yankai Cao, Jin Li
Soft Sensor Change Point Detection and Root Causal Analysis. SICE (2022)
Qian Chen, Lili Zuo, Changchun Wu, Yun Li, Kaixun Hua, Mahdi Mehrtash, Yankai Cao
Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability. Reliab. Eng. Syst. Saf. 221 (2022)
Kaixun Hua, Jiayang Ren, Yankai Cao
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree. NeurIPS (2022)
Mingfei Shi, Kaixun Hua, Jiayang Ren, Yankai Cao
Global Optimization of K-Center Clustering. ICML (2022)
Qian Chen, Lili Zuo, Changchun Wu, Yankai Cao, Yaran Bu, Feng Chen, Rehan Sadiq
Supply reliability assessment of a gas pipeline network under stochastic demands. Reliab. Eng. Syst. Saf. 209 (2021)
Kaixun Hua, Mingfei Shi, Yankai Cao
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems. ICML (2021)
Qian Chen, Changchun Wu, Lili Zuo, Mahdi Mehrtash, Yixiu Wang, Yaran Bu, Rehan Sadiq, Yankai Cao
Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty. Comput. Chem. Eng. 147 (2021)
Yankai Cao, Victor M. Zavala
A scalable global optimization algorithm for stochastic nonlinear programs. J. Glob. Optim. 75 (2) (2019)
Jordan Jalving, Yankai Cao, Victor M. Zavala
Graph-based modeling and simulation of complex systems. Comput. Chem. Eng. 125 (2019)
Yankai Cao, Luis Fabián Fuentes-Cortés, Siyu Chen, Victor M. Zavala
Scalable modeling and solution of stochastic multiobjective optimization problems. Comput. Chem. Eng. 99 (2017)
Yankai Cao, Arpan Seth, Carl D. Laird
An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units. Comput. Chem. Eng. 85 (2016)
Yankai Cao, Carl D. Laird, Victor M. Zavala
Clustering-based preconditioning for stochastic programs. Comput. Optim. Appl. 64 (2) (2016)
Jia Kang, Yankai Cao, Daniel P. Word, Carl D. Laird
An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition. Comput. Chem. Eng. 71 (2014)