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2020 – today
- 2024
[j13]Shulei Zhang
, Runda Jia, Yankai Cao, Dakuo He, Feng Yu:
Stable predictive control of continuous stirred-tank reactors using deep learning. Inf. Sci. 678: 120970 (2024)- [c8]Jingjing Zheng, Yankai Cao:
Bayesian-Driven Learning of A New Weighted Tensor Norm for Tensor Recovery. Tiny Papers @ ICLR 2024 - [c7]Liang Cao, Yankai Cao, R. Bhushan Gopaluni:
Stable Soft Sensor Modeling for Industrial Systems. ICPS 2024: 1-6 - [i6]Jian Xu, Chaojie Ji, Yankai Cao, Ye Li, Ruxin Wang:
Causality-inspired Latent Feature Augmentation for Single Domain Generalization. CoRR abs/2406.05980 (2024) - 2023
- [j12]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: 108294 (2023) - [i5]Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao:
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples. CoRR abs/2301.00061 (2023) - [i4]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 abs/2311.06952 (2023) - [i3]Jingjing Zheng, Wenzhe Wang, Xiaoqin Zhang, Yankai Cao, Xianta Jiang:
High-Order Tensor Recovery with A Tensor U1 Norm. CoRR abs/2311.13958 (2023) - 2022
- [j11]Yun Li, Kaixun Hua, Yankai Cao:
Using stochastic programming to train neural network approximation of nonlinear MPC laws. Autom. 146: 110665 (2022) - [j10]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): 12367-12421 (2022) - [j9]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: 108351 (2022) - [c6]Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni:
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics. ACC 2022: 5217-5222 - [c5]Mingfei Shi, Kaixun Hua, Jiayang Ren, Yankai Cao:
Global Optimization of K-Center Clustering. ICML 2022: 19956-19966 - [c4]Kaixun Hua, Jiayang Ren, Yankai Cao:
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree. NeurIPS 2022 - [c3]Jiayang Ren, Kaixun Hua, Yankai Cao:
Global Optimal K-Medoids Clustering of One Million Samples. NeurIPS 2022 - [c2]Liang Cao, R. Bhushan Gopaluni, Lim C. Siang, Yankai Cao, Jin Li:
Soft Sensor Change Point Detection and Root Causal Analysis. SICE 2022: 242-247 - [i2]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 abs/2201.01166 (2022) - [i1]Ahmed Al Shafei, Hamidreza Zareipour, Yankai Cao:
A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization. CoRR abs/2207.02388 (2022) - 2021
- [j8]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: 107260 (2021) - [j7]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: 107482 (2021) - [c1]Kaixun Hua, Mingfei Shi, Yankai Cao:
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems. ICML 2021: 4391-4401
2010 – 2019
- 2019
- [j6]Jordan Jalving, Yankai Cao, Victor M. Zavala:
Graph-based modeling and simulation of complex systems. Comput. Chem. Eng. 125: 134-154 (2019) - [j5]Yankai Cao, Victor M. Zavala:
A scalable global optimization algorithm for stochastic nonlinear programs. J. Glob. Optim. 75(2): 393-416 (2019) - 2017
- [j4]Yankai Cao, Luis Fabián Fuentes-Cortés, Siyu Chen, Victor M. Zavala:
Scalable modeling and solution of stochastic multiobjective optimization problems. Comput. Chem. Eng. 99: 185-197 (2017) - 2016
- [j3]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: 76-83 (2016) - [j2]Yankai Cao, Carl D. Laird, Victor M. Zavala:
Clustering-based preconditioning for stochastic programs. Comput. Optim. Appl. 64(2): 379-406 (2016) - 2014
- [j1]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: 563-573 (2014)
Coauthor Index
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