Projects per year
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, integer programming and LLM for optimization.
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, 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) Defense Passed!
- Hexiang Gao (Master)
- Xingyi Li (AIES Master) Defense Passed!
- Mannepu, Venkata Roshan (Master)
- Floor Halkes (Master) Defense Passed!
- Zonghua Hu (AIES Master) Defense Passed!
- Ru Cao (AIES Master) Defense Passed!
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):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities
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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
Projects
- 1 Active
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CoRDS: Confident data-driven Decision Support
Zhang, Y. (Project Manager), Grau Garcia, I. (Project member), Vacancy PHD (Project member), Yu, Y. (Project member) & Wu, Y. (Project member)
1/01/26 → 31/12/29
Project: Third tier
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Cooperative Multi-Agent Advice Exchange via Topological Graph Learning
Zhou, S., Hou, Y. (Corresponding author), Wu, Y., Yu, X., Zhou, L., Piao, H. & Zhang, Q., Feb 2026, In: IEEE Transactions on Cognitive and Developmental Systems. 18, 1, p. 142-153 12 p., 11023596.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus)2 Downloads (Pure) -
Deep Reinforcement Learning Based Genetic Framework for Flexible Job-Shop Scheduling Under Practical Constraints
van Straaten, K., Reijnen, R. (Corresponding author), Bukhsh, Z., Wu, Y. & Zhang, Y., 2026, Learning and Intelligent Optimization: 19th International Conference, LION 19 2025, Proceedings. Zhang, Y., Hladik, M. & Moosaei, H. (eds.). Springer, Vol. 1. p. 183-198 16 p. (Lecture Notes in Computer Science; vol. 15744 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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End-to-end Deep Reinforcement Learning for Stochastic Multi-objective Optimization in C-VRPTW
Abouelrous, A., Bliek, L., Wu, Y. & Zhang, Y., 15 Mar 2026, In: Transactions on Machine Learning Research. 2026, 2, 23 p., 6721.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile28 Downloads (Pure) -
Job shop scheduling benchmark: environments and instances for learning and non-learning methods
Reijnen, R. (Corresponding author), Smit, I. G., Zhang, H., Wu, Y., Bukhsh, Z. & Zhang, Y., 30 May 2026, (E-pub ahead of print) In: Annals of Mathematics and Artificial Intelligence. XXResearch output: Contribution to journal › Article › Academic › peer-review
Open Access -
Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
Jiang, X., Wu, Y., Ong, Y.-S. & Zhang, Y., 2026, (Accepted/In press) 35th International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence (IJCAI)Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Prizes
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Best Paper Award in ICAUS 2022
Wu, Y. (Recipient), 2022
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Robocup (2D simulation Competition), 2nd Prize. Rizhao, Shandong.
Wu, Y. (Recipient), 2017
Prize: Other › Scientific
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Robot Contest & Robocup Open (Home Robot Simulation Competition), 1st Prize. Guiyang, Guizhou.
Wu, Y. (Recipient), 2015
Prize: Other › Scientific
Activities
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14th International Conference on Learning Representations (Area Chair)
Wu, Y. (Member of programme committee)
2026Activity: Participating in or organising an event types › Conference › Scientific
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Towards unifying neural combinatorial optimization through large language model
Wu, Y. (Speaker)
19 May 2025Activity: Talk or presentation types › Invited talk › Scientific
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Transportation Research. Part E: Logistics and Transportation Review (Journal)
Wu, Y. (Peer reviewer)
2025Activity: Publication peer-review and editorial work types › Publication peer-review › Scientific
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Advanced Engineering Informatics (Journal)
Wu, Y. (Peer reviewer)
2025Activity: Publication peer-review and editorial work types › Publication peer-review › Scientific
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Annual Conference on Artificial Intelligence and Statistics (AISTATS)
Wu, Y. (Member of programme committee)
2025Activity: Participating in or organising an event types › Conference › Scientific
Courses
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Fundamentals of algorithmic programming for Operations Management
Wu, Y., de Kinderen, S., Dijkman, R. M., Jiang, X., Huet, R., Baer, G. & Hu, C. 1/09/23 → 31/08/26
Course