黑料福利网

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, Ride-hailing, Healthcare

Yaoxin Wu is supervisor/promoter of 

- Xia Jiang (PhD)

- Igor Smite (PhD)

- Minshuo Li (PhD)

- Yue Yu (PhD)

- Dip Ghosh (PhD)

- Tijmen Bouwman (Master)

- Olivier Vugts (Master) Congrats on oral defense!

- Hexiang Gao (Master)

- Xingyi Li (AIES Master) Congrats on oral defense!

- Mannepu, Venkata Roshan (Master)

- Floor Halkes (Master) Congrats on oral defense!

- Zonghua Hu (AIES Master)

- Ru Cao (AIES Master)

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, integer programming and LLM for optimization.