Yankai Cao

44 papers A* 4C 1Journal 32Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causality-inspired latent feature augmentation for single domain generalization.
Pattern Recognit.
Jian Xu, Chaojie Ji, Yankai Cao, Ye Li, Wei Zhao, Ruxin Wang
2026 J jnl
Class-Missing Semi-supervised document key information extraction via synergistic refinement estimation.
Inf. Process. Manag.
Pengcheng Guo, Yonghong Song, Boyu Wang, Yankai Cao, Jiayang Ren, Chaojie Ji, Jiahao Liu, Qi Zhang, Qiangqiang Mao
2026 J jnl
Interpretable and Reliable Soft Sensor Development in Industry 5.0.
IEEE CAA J. Autom. Sinica
Liang Cao, Jianping Su, Fan Yang, Yankai Cao, R. Bhushan Gopaluni
2026 J jnl
Learning directed acyclic graphs via noising and denoising.
Inf. Sci.
Chaojie Ji, Jialin Nan, Hongyan Wu, Shiyun Wang, Ruxin Wang, Yankai Cao
2026 J jnl
On Catastrophic Forgetting in Low-Rank Decomposition-Based Parameter-Efficient Fine-Tuning.
CoRR
Muhammad Ahmad, Jingjing Zheng, Yankai Cao
2026 J jnl
Visual process monitoring of biomass conversion reactors using transfer learning and generative AI.
Comput. Chem. Eng.
Qiangqiang Mao, Boris Yip, Chuanhao Xu, Sagar Garg, Pengcheng Guo, Yankai Cao
2025 J jnl
An Edge-Based Adaptive Event-Triggered Network Transmission Scheme for Fully Distributed Power and Frequency Control of Islanded AC Microgrids.
IEEE Trans. Netw. Serv. Manag.
Sheng Han, Hong Zhu, Qishui Zhong, Kaibo Shi, Yankai Cao, Jianfeng Liu
2025 — conf
Change Detection for Wide-Field Video Images in Foggy Weather Based on Enhanced K-Means Clustering.
ICIC (1)
Yankai Cao, Xiaoqian Qu, Jia He, Sensen Song, Zhenhong Jia
2025 J jnl
Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors.
IEEE Trans. Instrum. Meas.
Liang Cao, Jingyi Wang, Jianping Su, Yi Luo, Yankai Cao, Richard D. Braatz, R. Bhushan Gopaluni
2025 J jnl
Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks.
IEEE Trans Autom. Sci. Eng.
Morimasa Okamoto, Jiayang Ren, Qiangqiang Mao, Jianfeng Liu, Yankai Cao
2025 — conf
Exact Learning of Linear Model Predictive Control Laws using Oblique Decision Trees with Linear Predictions.
CDC
Jiayang Ren, Qiangqiang Mao, Tianwei Zhao, Yankai Cao
2025 J jnl
Exact Learning of Linear Model Predictive Control Laws using Oblique Decision Trees with Linear Predictions.
CoRR
Jiayang Ren, Qiangqiang Mao, Tianwei Zhao, Yankai Cao
2025 J jnl
Power System Transition Planning: An Industry-Aligned Framework for Long-Term Optimization.
CoRR
Ahmed Al Shafei, Nima Amjady, Hamidreza Zareipour, Yankai Cao
2025 — conf
RGPest-YOLO: A YOLOv8 Pest Detection Method Based on Image Preprocessing.
ICIC (1)
Xiaoqian Qu, Yankai Cao, Zhenhong Jia, Gang Zhou, Jiajia Wang
2024 J jnl
Adaptive Principal Components Allocation with the ℓ
CoRR
Jingjing Zheng, Yankai Cao
2024 — conf
Bayesian-Driven Learning of A New Weighted Tensor Norm for Tensor Recovery.
Tiny Papers @ ICLR
Jingjing Zheng, Yankai Cao
2024 J jnl
Can a Single Tree Outperform an Entire Forest?
CoRR
Qiangqiang Mao, Yankai Cao
2024 J jnl
Causality-inspired Latent Feature Augmentation for Single Domain Generalization.
CoRR
Jian Xu, Chaojie Ji, Yankai Cao, Ye Li, Ruxin Wang
2024 — conf
Handling the Non-smooth Challenge in Tensor SVD: A Multi-objective Tensor Recovery Framework.
ECCV (14)
Jingjing Zheng, Wanglong Lu, Wenzhe Wang, Yankai Cao, Xiaoqin Zhang, Xianta Jiang
2024 — conf
Stable Soft Sensor Modeling for Industrial Systems.
ICPS
Liang Cao, Yankai Cao, R. Bhushan Gopaluni
2024 J jnl
Stable predictive control of continuous stirred-tank reactors using deep learning.
Inf. Sci.
Shulei Zhang, Runda Jia, Yankai Cao, Dakuo He, Feng Yu
2023 J jnl
A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets.
CoRR
Jiayang Ren, Valentín Osuna-Enciso, Morimasa Okamoto, Qiangqiang Mao, Chaojie Ji, Liang Cao, Kaixun Hua, Yankai Cao
2023 J jnl
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples.
CoRR
Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao
2023 J jnl
High-Order Tensor Recovery with A Tensor U
CoRR
Jingjing Zheng, Wenzhe Wang, Xiaoqin Zhang, Yankai Cao, Xianta Jiang
2023 J jnl
Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics.
Comput. Chem. Eng.
Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni
2022 J jnl
A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization.
CoRR
Ahmed Al Shafei, Hamidreza Zareipour, Yankai Cao
2022 A* conf
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree.
NeurIPS
Kaixun Hua, Jiayang Ren, Yankai Cao
2022 J jnl
An efficient improved African vultures optimization algorithm with dimension learning hunting for traveling salesman and large-scale optimization applications.
Int. J. Intell. Syst.
Narinder Singh, Essam H. Houssein, Seyedali Mirjalili, Yankai Cao, Ganeshsree Selvachandran
2022 J jnl
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation.
CoRR
Yun Li, Yixiu Wang, Yifu Chen, Kaixun Hua, Jiayang Ren, Ghazaleh Mozafari, Qiugang Lu, Yankai Cao
2022 A* conf
Global Optimal K-Medoids Clustering of One Million Samples.
NeurIPS
Jiayang Ren, Kaixun Hua, Yankai Cao
2022 A* conf
Global Optimization of K-Center Clustering.
ICML
Mingfei Shi, Kaixun Hua, Jiayang Ren, Yankai Cao
2022 J jnl
Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability.
Reliab. Eng. Syst. Saf.
Qian Chen, Lili Zuo, Changchun Wu, Yun Li, Kaixun Hua, Mahdi Mehrtash, Yankai Cao
2022 — conf
Soft Sensor Change Point Detection and Root Causal Analysis.
SICE
Liang Cao, R. Bhushan Gopaluni, Lim C. Siang, Yankai Cao, Jin Li
2022 C conf
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics.
ACC
Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni
2022 J jnl
Using stochastic programming to train neural network approximation of nonlinear MPC laws.
Autom.
Yun Li, Kaixun Hua, Yankai Cao
2021 A* conf
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems.
ICML
Kaixun Hua, Mingfei Shi, Yankai Cao
2021 J jnl
Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty.
Comput. Chem. Eng.
Qian Chen, Changchun Wu, Lili Zuo, Mahdi Mehrtash, Yixiu Wang, Yaran Bu, Rehan Sadiq, Yankai Cao
2021 J jnl
Supply reliability assessment of a gas pipeline network under stochastic demands.
Reliab. Eng. Syst. Saf.
Qian Chen, Lili Zuo, Changchun Wu, Yankai Cao, Yaran Bu, Feng Chen, Rehan Sadiq
2019 J jnl
A scalable global optimization algorithm for stochastic nonlinear programs.
J. Glob. Optim.
Yankai Cao, Victor M. Zavala
2019 J jnl
Graph-based modeling and simulation of complex systems.
Comput. Chem. Eng.
Jordan Jalving, Yankai Cao, Victor M. Zavala
2017 J jnl
Scalable modeling and solution of stochastic multiobjective optimization problems.
Comput. Chem. Eng.
Yankai Cao, Luis Fabián Fuentes-Cortés, Siyu Chen, Victor M. Zavala
2016 J jnl
An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units.
Comput. Chem. Eng.
Yankai Cao, Arpan Seth, Carl D. Laird
2016 J jnl
Clustering-based preconditioning for stochastic programs.
Comput. Optim. Appl.
Yankai Cao, Carl D. Laird, Victor M. Zavala
2014 J jnl
An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition.
Comput. Chem. Eng.
Jia Kang, Yankai Cao, Daniel P. Word, Carl D. Laird