Chao Ning
Orcid: 0000-0001-9621-3147
According to our database1,
Chao Ning
authored at least 40 papers
between 2010 and 2024.
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Bibliography
2024
Online Data-Stream-Driven Distributionally Robust Optimal Energy Management for Hydrogen-Based Multimicrogrids.
IEEE Trans. Ind. Informatics, March, 2024
2023
Eng. Appl. Artif. Intell., May, 2023
IEEE Control. Syst. Lett., 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Multistage Scheduling of Regional Power Grids Against Sequential Outage and Power Uncertainties.
IEEE Trans. Smart Grid, 2022
IEEE Trans. Image Process., 2022
Distributionally Robust Day-ahead Scheduling for Power-traffic Network under a Potential Game Framework.
CoRR, 2022
Discovering inhibitors of TEAD palmitate binding pocket through virtual screening and molecular dynamics simulation.
Comput. Biol. Chem., 2022
Streaming-Data-Driven Distributionally Robust Joint Operation of Multi-Microgrids and Off-Site Hydrogen Refueling Stations under Uncertainties.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022
The Application of Fast-time Simulation in the Airport Runway Configuration Optioning.
Proceedings of the IPEC 2022: 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers, Dalian, China, April 14, 2022
2021
Mining Unknown Porcine Protein Isoforms by Tissue-based Map of Proteome Enhances Pig Genome Annotation.
Genom. Proteom. Bioinform., 2021
Distributionally Robust Day-ahead Scheduling for Power-traffic Network Considering Multiple Uncertainties under a Potential Game Framework.
CoRR, 2021
Online learning based risk-averse stochastic MPC of constrained linear uncertain systems.
Autom., 2021
Data-Driven Ambiguous Joint Chance Constrained Economic Dispatch with Correlated Wind Power Uncertainty.
Proceedings of the 2021 American Control Conference, 2021
2020
Rapid epistatic mixed-model association studies by controlling multiple polygenic effects.
Bioinform., 2020
Briefings Bioinform., 2020
A transformation-proximal bundle algorithm for multistage adaptive robust optimization and application to constrained robust optimal control.
Autom., 2020
2019
Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming.
Comput. Chem. Eng., 2019
Efficient multivariate analysis algorithms for longitudinal genome-wide association studies.
Bioinform., 2019
Industrial Steam Systems Optimization under Uncertainty Using Data-Driven Adaptive Robust Optimization.
Proceedings of the 2019 American Control Conference, 2019
Data-Driven Adaptive Robust Optimization Framework for Unit Commitment under Renewable Energy Generation Uncertainty.
Proceedings of the 2019 American Control Conference, 2019
Chemical Process Scheduling under Disjunctive Uncertainty Using Data-Driven Multistage Adaptive Robust Optimization.
Proceedings of the 2019 American Control Conference, 2019
2018
A Transformation-Proximal Bundle Algorithm for Solving Large-Scale Multistage Adaptive Robust Optimization Problems.
CoRR, 2018
Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods.
Comput. Chem. Eng., 2018
Data-Driven Stochastic Robust Optimization: General Computational Framework and Algorithm Leveraging Machine Learning for Optimization under Uncertainty in the Big Data Era.
Comput. Chem. Eng., 2018
Adaptive robust optimization with minimax regret criterion: Multiobjective optimization framework and computational algorithm for planning and scheduling under uncertainty.
Comput. Chem. Eng., 2018
A rapid epistatic mixed-model association analysis by linear retransformations of genomic estimated values.
Bioinform., 2018
A Transformation-Proximal Bundle Algorithm for Solving Multistage Adaptive Robust Optimization Problems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Data-Driven Adaptive Robust Optimization Framework Based on Principal Component Analysis.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Data-Driven Nested Stochastic Robust Optimization: A General Computational Framework and Algorithm for Optimization under Uncertainty in the Big Data Era.
CoRR, 2017
Leveraging big data for adaptive robust optimization of scheduling under uncertainty.
Proceedings of the 2017 American Control Conference, 2017
2016
Wirel. Pers. Commun., 2016
Data-driven robust MILP model for scheduling of multipurpose batch processes under uncertainty.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2013
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013
Precession and Structural Parameters Estimation of the Cone-Shaped Target Based on the Profile Length.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013
2012
2011
Constant-Rounds, Linear Multi-party Computation for Exponentiation and Modulo Reduction with Perfect Security.
IACR Cryptol. ePrint Arch., 2011
2010
Multiparty Computation for Modulo Reduction without Bit-Decomposition and A Generalization to Bit-Decomposition.
IACR Cryptol. ePrint Arch., 2010