Yaoxin Wu
Department / Institute
RESEARCH PROFILE
My main interests concentrate on deep learning, combinatorial optimization and integer programming. I am currently devoted to the learning for optimization field, with the aim to explore deep learning based methods to solve integer programs and combinatorial optimization problems, including vehicle routing, shop scheduling, airport ground handling, on-demand delivery with UAV, train unit shunting and so on.
- Artificial Intelligence: Deep Reinforcement Learning, Graph Neural Network, LLMs, VAEs & GANs
- Operations Research: Heuristic Search, (Stochastic) Integer Programming, Multi-Objective Optimization
- Applications: Transportation, Scheduling, Network Design, Graph Optimization
Yaoxin Wu is the daily/first supervisor of
- Xia Jiang (PhD)
- Igor Smite (PhD)
- Minshuo Li (PhD)
- Tijmen Bouwman (Master)
- Olivier Vugts (Master)
- Hexiang Gao (Master)
- Xingyi Li (Master)
- Mannepu, Venkata Roshan (Master)
- Floor Halkes (Master)
- Darryl Kock (Master)
Make the world a better place by learning and optimizing
ACADEMIC BACKGROUND
Yaoxin Wu received the Ph.D. degree in computer science from Nanyang Technological University, Singapore, in 2023. In the same year, he joined the Information Systems group within the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology as an Assistant Professor. His research interests include deep learning, combinatorial optimization and integer programming.
Recent Publications
Current 果冻传媒al Activities
Ancillary Activities
No ancillary activities