Xiaonan Wang

Orcid: 0000-0001-9775-2417

Affiliations:
  • National University of Singapore, Department of Chemical and Biomolecular Engineering, Singapore
  • University of California, Davis, Department of Chemical Engineering and Materials Science, CA, USA (PhD 2015)


According to our database1, Xiaonan Wang authored at least 14 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2022
Author Correction: Automatic strain sensor design via active learning and data augmentation for soft machines.
Nat. Mach. Intell., 2022

Automatic strain sensor design via active learning and data augmentation for soft machines.
Nat. Mach. Intell., 2022

Learning-based scheduling of industrial hybrid renewable energy systems.
Comput. Chem. Eng., 2022

2021
A robust low data solution: Dimension prediction of semiconductor nanorods.
Comput. Chem. Eng., 2021

2020
Editorial: Special Issue on Selected Papers from CIS-RAM2019 - Cybernetics and Intelligent Systems (CIS) and Robotics, Automation and Mechatronics (RAM).
Unmanned Syst., 2020

2019
Energy-water nexus design and operation towards the sustainable development goals.
Comput. Chem. Eng., 2019

ProGAN: Protein solubility generative adversarial nets for data augmentation in DNN framework.
Comput. Chem. Eng., 2019

Develop machine learning-based regression predictive models for engineering protein solubility.
Bioinform., 2019

Deep Learning Accelerated Gold Nanocluster Synthesis.
Adv. Intell. Syst., 2019

2018
An integrated optimisation platform for sustainable resource and infrastructure planning.
Environ. Model. Softw., 2018

A multi-objective optimization approach for selection of energy storage systems.
Comput. Chem. Eng., 2018

2014
Energy management for the chlor-alkali process with hybrid renewable energy generation using receding horizon optimization.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Operation of residential hybrid renewable energy systems: Integrating forecasting, optimization and demand response.
Proceedings of the American Control Conference, 2014

2006
Mining Maximum Length Frequent Itemsets: A Summary of Results.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006


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