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Personal profile

Research profile

Yingqian Zhang is as an Assistant Professor in the Information Systems group at Eindhoven University of Technology (TU/e). Her research interests lie in the area of Artificial Intelligence, particularly, machine learning, data-driven optimization, multi-agent system, and algorithm design.    
She enjoys optimizing decision making with big data, designing efficient algorithms, conducting simulations, and developing models and mechanisms involving cooperative or self-interested players. The application domains of Yingqian’s current research include e-commerce, transportation and logistics, manufacturing, and sharing economy.

Her current funded projects examine Data driven decision-making in e-commerce and Data analytics for logistics. 

Academic background

Yingqian Zhang received her PhD  in Computer Science from the University of Manchester, UK.  She has worked as an Assistant Professor in Econometrics Institute at Erasmus University Rotterdam, and as a postdoc researcher in the Algorithmics group at TU Delft. She was a visiting professor in the Institute for Advanced Computer Studies at University of Maryland, College Park, USA in 2015.

At TU/e, she is part of Business Process Intelligence and Smart Mobility research clusters at the Information Systems group. She also teaches at the Jheronimus Academy of Data Science and is on the board of BNVKI (Benelux Association for Artificial Intelligence). 

Yingqian regularly contributes to pubilsh in the leading journals and conferences. She reviews papers for several journals such as Artificial Intelligence, IEEE Transactions on TKDE, Journal of Parallel Computing and Journal Distributed Computing and is a member of the technical Program Committee for more than 20 AI conferences, including IJCAI, AAMAS, ECAI, AAAI.

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Space time adaptive processing Engineering & Materials Science
Batching Mathematics
Approximation algorithms Engineering & Materials Science
Task Allocation Mathematics
Tabu Search Algorithm Mathematics
Tabu search Engineering & Materials Science
Scheduling Engineering & Materials Science
Heuristics Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1998 2019

Determining capacity of shunting yards by combining graph classification with local search

van de Ven, A. J. G., Zhang, Y., Lee, W-J., Eshuis, H. & Wilbik, A. M., 2019, 11th International Conference on Agents and Artificial Intelligence (ICAART 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File

Learning optimal classification trees using a binary linear program formulation

Verwer, S. E. & Zhang, Y., 2019 8 p.

Research output: Contribution to conferencePaperAcademic

File
Linear programming

A Branch-and-Price approach to find optimal decision trees

Firat, M., Crognier, G., Gabor, A. & Zhang, Y., 8 Jul 2018

Research output: Contribution to conferenceAbstractAcademic

Decision trees
Linear programming
Artificial intelligence

A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy

Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 29 Nov 2018, (Accepted/In press) 11th International Conference on Agents and Artificial Intelligence (ICAART 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Reinforcement learning
Websites
Marketing

Constructing classification trees using column generation

Firat, M., Crignier, G., Gabor, A., Hurkens, C. A. J. & Zhang, Y., 8 Oct 2018, (Submitted) In : Computers & Operations Research.

Research output: Contribution to journalArticleAcademicpeer-review

Classification Tree
Column Generation
Integer Linear Programming
Linear programming
Decision trees

Prizes

Best Paper Award for 2017 by Omega-International Journal of Management Science

Yingqian Zhang (Recipient), 2017

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Management science

Best paper award of MATES 2008

Yingqian Zhang (Recipient), 2008

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Multi agent systems
Scheduling

Activities 2017 2019

  • 8 Publication peer-review
  • 1 Membership of board
  • 1 Invited talk
  • 1 Plenary talk

18th (International Conference on Autonomous Agents and Multiagent Systems (Event)

Zhang, Y. (Editorial board member)
2019

Activity: Publication peer-review and editorial workPublication peer-reviewScientific

33rd AAAI Conference on Artificial Intelligence (Event)

Zhang, Y. (Editorial board member)
2019

Activity: Publication peer-review and editorial workPublication peer-reviewScientific

17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) (Event)

Zhang, Y. (Editorial board member)
2018

Activity: Publication peer-review and editorial workPublication peer-reviewScientific

27th International Joint Conference on Artificial Intelligence, IJCAI 2018 (Event)

Zhang, Y. (Editorial board member)
2018

Activity: Publication peer-review and editorial workPublication peer-reviewScientific

Introduction to Machine Learning for Prognostics & Health Management

Zhang, Y. (Keynote speaker)
2018

Activity: Talk or presentationPlenary talkScientific

Courses

Business Analytics

1/09/15 → …

Course

Business Intelligence

1/09/1331/08/19

Course

Design of Service Operations

1/09/15 → …

Course

Student theses

A deep graph convolutional neural network aiding in finding feasible shunt plans

Author: van de Ven, A., 28 Sep 2018

Supervisor: Zhang, Y. (Supervisor 1) & Eshuis, H. (Supervisor 2)

Student thesis: Master

File

Boosted tree learning for balanced item recommendation in online retail

Author: Dikker, J., 18 Dec 2017

Supervisor: Zhang, Y. (Supervisor 1), Menkovski, V. (Supervisor 2), Kaymak, U. (Supervisor 1) & Coenraad, S. (External person) (External coach)

Student thesis: Master

File

Characterizing MRI exams by investigating their scans

Author: Zhao, Y., 30 Oct 2017

Supervisor: Buijs, J. (Supervisor 1), Korst, J. H. (External person) (External coach), Dixit, P. (Supervisor 2) & Zhang, Y. (Supervisor 2)

Student thesis: Master

File

Data-driven condition based maintenance in a maritime environment

Author: van Dommelen, J., 31 Aug 2017

Supervisor: Wilbik, A. (Supervisor 1), Zhang, Y. (Supervisor 2) & Kaymak, U. (Supervisor 2)

Student thesis: Master

File