Content available in repository
Content available in repository
Personal profile
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.
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)
Quote
Make the world a better place by learning and optimizing
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Yaoxin Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Graph neural networks for job shop scheduling problems: A survey
Smit, I. G., Zhou, J., Reijnen, R., Wu, Y. (Corresponding author), Chen, J., Zhang, C., Bukhsh, Z., Zhang, Y. & Nuijten, W. P. M., Apr 2025, In: Computers and Operations Research. 176, 16 p., 106914.Research output: Contribution to journal › Review article › peer-review
Open AccessFile1 Citation (Scopus)3 Downloads (Pure) -
A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity
Wang, F., Fu, Y. (Corresponding author), Gao, K., Wu, Y. & Gao, S., Jun 2024, In: Complex System Modeling and Simulation. 4, 2, p. 184-209 26 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Citations (Scopus)2 Downloads (Pure) -
Collaboration! Towards Robust Neural Methods for Routing Problems
Zhou, J., Wu, Y., Cao, Z., Song, W., Zhang, J. & Shen, Z., 2024, (Accepted/In press) 38th Conference on Neural Information Processing Systems (NeurIPS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
-
Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems
Wu, Y., Fan, M., Cao, Z., Gao, R., Hou, Y. & Sartoretti, G., 6 May 2024, AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1956-1965 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Citation (Scopus)37 Downloads (Pure) -
Conditional Neural Heuristic for Multi-objective Vehicle Routing Problems
Fan, M., Wu, Y., Cao, Z., Song, W., Sartoretti, G., Liu, H. & Wu, G., 22 Mar 2024, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
2 Citations (Scopus)
Prizes
-
Best Paper Award in ICAUS 2022
Wu, Y. (Recipient), 2022
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
-
-
-
Robocup (2D simulation Competition), 2nd Prize. Rizhao, Shandong.
Wu, Y. (Recipient), 2017
Prize: Other › Scientific
-
Robot Contest & Robocup Open (Home Robot Simulation Competition), 1st Prize. Guiyang, Guizhou.
Wu, Y. (Recipient), 2015
Prize: Other › Scientific
Activities
-
Session on (Deep) Reinforcement Learning in OR Optimization
Wu, Y. (Organiser)
2025Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
-
Session on Data Science meets Optimization
Wu, Y. (Organiser)
2025Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
-
42th International Conference on Machine Learning (Area Chair)
Wu, Y. (Member of programme committee)
2025Activity: Participating in or organising an event types › Conference › Scientific
-
Conditional and Collaborative Neural Heuristic for Multi-Objective VRPs
Wu, Y. (Speaker)
22 Oct 2024Activity: Talk or presentation types › Invited talk › Professional
-
Workshop on Trustworthy Sequential Decision-making and Optimization (ECAI2024)
Baier, H. (Organiser), Bliek, L. (Organiser), Bukhsh, Z. (Organiser), Grau Garcia, I. (Organiser), Wu, Y. (Organiser) & Zhang, Y. (Organiser)
19 Oct 2024 → 20 Oct 2024Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific