Fengyang Sun
Email  / 
Google Scholar  / 
ORCID  / 
DBLP
|
Biography
Currently I'm studying a PhD at Victoria University of Wellington since March, 2022. I received my Scientific Engineering Master Degree on Computer Science at University of Jinan in 2020, where I was supervised by Prof. Lin Wang.
My research interests involve everything related to optimization, which include but not limited: optimization algorithm, optimization problem, machine learning, artificial intelligence. I'm working on using neural network to model the distribution of promising solutions to solve a combitorial problem -- the IoT service composition.
|
News
11/2022, 1 paper has been accepted by AAAI 2023.
Recent Projects
To be updated.1
Talks
To be updated.
Research
I'm interested in using advanced Estimation of Distribution, especially the neural networks, for many types of optimization (e.g. Combinatorial, Continuous, Multi-Objective, and Constraint problems).
Conference Papers:
- A Novel Neural Network-based Symbolic Regression Method: Neuro-Encoded Expression Programming
Aftab Anjum#, Fengyang Sun#, Lin Wang, Jeff Orchard
International Conference on Artificial Neural Networks (ICANN 2019) (# equal contribution) | paper | code
Journal Papers:
- A Neuro-diversified Benchmark Generator for Black Box Optimization
Fengyang Sun, Lin Wang, Bo Yang
Information Sciences 2021, 573:475-492 | paper | code
Services
To be updated.
Awards
To be updated.