Yaoxin Wu
Department / Institute
RESEARCH PROFILE
My main interests concentrate on deep (reinforcement) learning, combinatorial optimization and integer programming. I am currently devoted to the learning for optimization field, especially the neural combinatorial optimization topic, with the aim to explore deep learning based methods to solve combinatorial optimization problems, including vehicle routing, airport ground handling, on-demand delivery with UAV, and integer programs. It is promising to exploit deep learning in real-world optimization and decision making, with the power of data.
- Artificial Intelligence: Deep Reinforcement Learning, Graph Neural Network, VAEs & GANs
- Operations Research: Heuristic Search, (Stochastic) Integer Programming, Multi-Objective Optimization
- Applications: Transportation, Scheduling, Airport Ground Handling, On-demand Delivery
Yaoxin Wu is supervisor of
- Xia Jiang (PhD)
- Igor Smite (PhD)
- Tijmen Bouwman (Master)
- Olivier Vugts (Master)
- Nikhil Razab-Sekh (Master)
- Xingyi Li (Master)
Make the world a better place by learning and optimizing
ACADEMIC BACKGROUND
Yaoxin Wu received the B.Eng degree in traffic engineering from Wuyi University, Jiangmen, China, in 2015, the M.Eng degree in control engineering from Guangdong University of Technology, Guangzhou, China, in 2018, and the Ph.D. degree in computer science from Nanyang Technological University, Singapore, in 2023. He was a Research Associate with the Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU). He joins the Department of Information Systems, Faculty of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, as an Assistant Professor. His research interests include deep learning, combinatorial optimization and integer programming.
Recent Publications
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Yaoxin Wu,Jianan Zhou,Yunwen Xia,Xianli Zhang,Zhiguang Cao,Jie Zhang
Neural Airport Ground Handling
IEEE Transactions on Intelligent Transportation Systems (2023) -
Jianan Zhou,Yaoxin Wu,Zhiguang Cao,Wen Song,Jie Zhang,Zhenghua Chen
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling
IEEE Transactions on Knowledge and Data Engineering (2023) -
Mingfeng Fan,Yaoxin Wu,Tianjun Liao,Zhiguang Cao,Hongliang Guo,Guillaume Sartoretti,Guohua Wu
Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations
IEEE Transactions on Vehicular Technology (2023) -
Cong Zhang,Yaoxin Wu,Yining Ma,Wen Song,Zhang Le,Zhiguang Cao,Jie Zhang
A Review on Learning to Solve Combinatorial Optimisation Problems in Manufacturing
IET Collaborative Intelligent Manufacturing (2023) -
Jianan Zhou,Yaoxin Wu,Wen Song,Zhiguang Cao,Jie Zhang
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
(2023)
Current Educational Activities
Ancillary Activities
No ancillary activities