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)

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)

Clustering-based preconditioning for stochastic programs. - Yankai Cao; Carl D. Laird; Victor M. Zavala (Comput. Optim. Appl., 2016)

Scalable modeling and solution of stochastic multiobjective optimization problems. - Yankai Cao; Luis Fabián Fuentes-Cortés; Siyu Chen; Victor M. Zavala (Comput. Chem. Eng., 2017)

Graph-based modeling and simulation of complex systems. - Jordan Jalving; Yankai Cao; Victor M. Zavala (Comput. Chem. Eng., 2019)

A scalable global optimization algorithm for stochastic nonlinear programs. - Yankai Cao; Victor M. Zavala (J. Glob. Optim., 2019)

A Scalable Deterministic Global Optimization Algorithm for Clustering Problems. - Kaixun Hua; Mingfei Shi; Yankai Cao (ICML, 2021)

Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty. - Qian Chen 010; Changchun Wu; Lili Zuo; Mahdi Mehrtash; Yixiu Wang; Yaran Bu; Rehan Sadiq; Yankai Cao (Comput. Chem. Eng., 2021)

Supply reliability assessment of a gas pipeline network under stochastic demands. - Qian Chen 010; Lili Zuo; Changchun Wu; Yankai Cao; Yaran Bu; Feng Chen; Rehan Sadiq (Reliab. Eng. Syst. Saf., 2021)

Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics. - Jingyi Wang 005; Jesús Moreira; Yankai Cao; R. Bhushan Gopaluni (ACC, 2022)

Global Optimization of K-Center Clustering. - Mingfei Shi; Kaixun Hua; Jiayang Ren; Yankai Cao (ICML, 2022)

A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree. - Kaixun Hua; Jiayang Ren; Yankai Cao (NeurIPS, 2022)

Global Optimal K-Medoids Clustering of One Million Samples. - Jiayang Ren; Kaixun Hua; Yankai Cao (NeurIPS, 2022)

Soft Sensor Change Point Detection and Root Causal Analysis. - Liang Cao; R. Bhushan Gopaluni; Lim C. Siang; Yankai Cao; Jin Li (SICE, 2022)

Using stochastic programming to train neural network approximation of nonlinear MPC laws. - Yun Li; Kaixun Hua; Yankai Cao (Autom., 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)

A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization. - Ahmed Al Shafei; Hamidreza Zareipour; Yankai Cao (CoRR, 2022)

Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability. - Qian Chen 010; Lili Zuo; Changchun Wu; Yun Li; Kaixun Hua; Mahdi Mehrtash; Yankai Cao (Reliab. Eng. Syst. Saf., 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., 2022)

A Global Optimization Algorithm for K-Center Clustering of One Billion Samples. - Jiayang Ren; Ningning You; Kaixun Hua; Chaojie Ji; Yankai Cao (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)

High-Order Tensor Recovery with A Tensor U1 Norm. - Jingjing Zheng; Wenzhe Wang; Xiaoqin Zhang 002; Yankai Cao; Xianta Jiang (CoRR, 2023)

Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics. - Jingyi Wang 005; Jesús Moreira; Yankai Cao; R. Bhushan Gopaluni (Comput. Chem. Eng., 2023)

Handling the Non-smooth Challenge in Tensor SVD: A Multi-objective Tensor Recovery Framework. - Jingjing Zheng; Wanglong Lu; Wenzhe Wang; Yankai Cao; Xiaoqin Zhang 002; Xianta Jiang (ECCV (14), 2024)

Bayesian-Driven Learning of A New Weighted Tensor Norm for Tensor Recovery. - Jingjing Zheng; Yankai Cao (Tiny Papers @ ICLR, 2024)

Stable Soft Sensor Modeling for Industrial Systems. - Liang Cao; Yankai Cao; R. Bhushan Gopaluni (ICPS, 2024)

Causality-inspired Latent Feature Augmentation for Single Domain Generalization. - Jian Xu; Chaojie Ji; Yankai Cao; Ye Li 002; Ruxin Wang 001 (CoRR, 2024)

Can a Single Tree Outperform an Entire Forest? - Qiangqiang Mao; Yankai Cao (CoRR, 2024)

Adaptive Principal Components Allocation with the ℓ2,g-regularized Gaussian Graphical Model for Efficient Fine-Tuning Large Models. - Jingjing Zheng; Yankai Cao (CoRR, 2024)

Stable predictive control of continuous stirred-tank reactors using deep learning. - Shulei Zhang; Runda Jia; Yankai Cao; Dakuo He; Feng Yu 014 (Inf. Sci., 2024)

Change Detection for Wide-Field Video Images in Foggy Weather Based on Enhanced K-Means Clustering. - Yankai Cao; Xiaoqian Qu; Jia He; Sensen Song; Zhenhong Jia (ICIC (1), 2025)

RGPest-YOLO: A YOLOv8 Pest Detection Method Based on Image Preprocessing. - Xiaoqian Qu; Yankai Cao; Zhenhong Jia; Gang Zhou; Jiajia Wang (ICIC (1), 2025)

Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks. - Morimasa Okamoto; Jiayang Ren; Qiangqiang Mao; Jianfeng Liu; Yankai Cao (IEEE Trans Autom. Sci. Eng., 2025)

Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors. - Liang Cao; Jingyi Wang 005; Jianping Su; Yi Luo; Yankai Cao; Richard D. Braatz; R. Bhushan Gopaluni (IEEE Trans. Instrum. Meas., 2025)

Power System Transition Planning: An Industry-Aligned Framework for Long-Term Optimization. - Ahmed Al Shafei; Nima Amjady; Hamidreza Zareipour; Yankai Cao (CoRR, 2025)

Class-Missing Semi-supervised document key information extraction via synergistic refinement estimation. - Pengcheng Guo; Yonghong Song; Boyu Wang; Yankai Cao; Jiayang Ren; Chaojie Ji; Jiahao Liu; Qi Zhang; Qiangqiang Mao (Inf. Process. Manag., 2026)