Projecten per jaar
Persoonlijk profiel
Research profile
Yingqian Zhang is an Associate 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 data, designing efficient algorithms, conducting simulations, and developing models and mechanisms involving cooperative or self-interested players.
Her current funded projects examine Prescriptive AI for decision-making in online AD auctions, predictive maintenance, lane selection in transportation, and service 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 a t 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. She also teaches at the Jheronimus Academy of Data Science.
Yingqian is active in the AI community. She is on the board of BNVKI (Benelux Association for Artificial Intelligence), serves yearly as a member of the technical Program Committee for major AI conference such as IJCAI, AAAI, AAMAS, ECAI, and acts as a reviewer for journals including Artificial Intelligence, Autonomous Agents and Multi-agent Systems, IEEE Transactions on TKDE, Journal Distributed Computing. Recently she joined the executive committee of the working group “Data Science meets Optimisation” of EURO (Association of European Operational Research Societies) to promote collaboration between AI and OR communities on the direction of machine learning and optimization.
Quote
I optimize decisions in a data-rich environment using AI.
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Netwerk
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Projecten
- 2 Afgelopen
Data Analytics for Trade Lane Risk Assessments and Control (DARA)
Akçay, A. E., Akçay, A. E., Zhang, Y. & Faghih Roohi, S.
1/06/17 → 31/05/19
Project: Onderzoek direct
Onderzoeksoutput
A group risk assessment approach for the selection of pharmaceutical product shipping lanes
Faghih-Roohi, S., Akcay, A., Zhang, Y., Shekarian, E. & de Jong, E., nov 2020, In : International Journal of Production Economics. 229, blz. 107774 13 blz., 107774.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
A state aggregation approach for solving knapsack problem with Deep Reinforcement Learning
Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 25 apr 2020, In : arXiv. 17 blz., 2004.12117.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic
Open Access
Bestand
7
Downloads
(Pure)
Column generation based heuristic for learning classification trees
Firat, M., Crognier, G., Gabor, A. F., Hurkens, C. A. J. & Zhang, Y., apr 2020, In : Computers & Operations Research. 116, 11 blz., 104866.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Dynamic pricing using Thompson Sampling with fuzzy events
Rhuggenaath, J., de O. da Costa, P. R., Zhang, Y., Akcay, A. & Kaymak, U., 15 jun 2020, Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings. Lesot, M-J., Vieira, S., Reformat, M. Z., Carvalho, J. P., Wilbik, A., Bouchon-Meunier, B. & Yager, R. R. (redactie). blz. 653-666 14 blz. (Communications in Computer and Information Science; vol. 1237 CCIS).Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open Access
Bestand
Learning 2-opt heuristics for the traveling salesman problem via deep reinforcement learning
Costa, P. R. D. O. D., Rhuggenaath, J., Zhang, Y. & Akcay, A., 3 apr 2020.Onderzoeksoutput: Werkdocument › Academic
Open Access
Bestand
52
Downloads
(Pure)
Prijzen
Best Paper Award for 2017 by Omega-International Journal of Management Science
Qing Chuan Ye (Ontvanger), Yingqian Zhang (Ontvanger) & Rommert Dekker (Ontvanger), 2017
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Best Industrial Paper Award
Herbert van Leeuwen (Ontvanger), Yingqian Zhang (Ontvanger), Kalliopi Zervanou (Ontvanger), Shantanu Mullick (Ontvanger), Uzay Kaymak (Ontvanger) & Tom de Ruijter (Ontvanger), 2020
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Best Student Paper Award
Reza Refaei Afshar (Ontvanger), Yingqian Zhang (Ontvanger), Murat Firat (Ontvanger) & Uzay Kaymak (Ontvanger), 21 feb 2019
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Bestand
Best paper award of MATES 2008
Yingqian Zhang (Ontvanger), 2008
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Activiteiten
Data Science Meets Optimisation
Yingqian Zhang (Organisator)11 aug 2019
Activiteit: Types deelname aan of organisatie van een evenement › Workshop, seminar, cursus of expositie › Wetenschappelijk
Agent-Based Models for Exploring Public Policy Planning
Yingqian Zhang (Organisator)15 jul 2019 → 19 jul 2019
Activiteit: Types deelname aan of organisatie van een evenement › Workshop, seminar, cursus of expositie › Wetenschappelijk
34rd AAAI Conference on Artificial Intelligence
Yingqian Zhang (Lid van programmacomité)2020
Activiteit: Types deelname aan of organisatie van een evenement › Congres › Wetenschappelijk
Data Science Meets Optimisation
Yingqian Zhang (Organisator)2020
Activiteit: Types deelname aan of organisatie van een evenement › Workshop, seminar, cursus of expositie › Wetenschappelijk
Improving ambulance dispatch policy using AI
Yingqian Zhang (Uitgenodigde spreker)6 nov 2019
Activiteit: Types gesprekken of presentaties › Genodigd spreker › Wetenschappelijk
Cursussen
Scriptie
Achieving more accurate truck warning lights by descriptive and predictive analytics
Auteur: van de Donk, W., 31 mei 2019Begeleider: Zhang, Y. (Afstudeerdocent 1), Kaymak, U. (Afstudeerdocent 2) & Zervanou, K. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Bestand
A deep graph convolutional neural network aiding in finding feasible shunt plans
Auteur: van de Ven, A., 28 sep 2018Begeleider: Zhang, Y. (Afstudeerdocent 1) & Eshuis, H. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Bestand
Ambient temperature prediction of pharmaceutical air freight
Auteur: Terpstra, B., 28 feb 2019Begeleider: Zhang, Y. (Afstudeerdocent 1) & Akcay, A. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Bestand
Analysis of skills needed for ICT employees in the Netherlands: a text mining approach to job vacancies
Auteur: de Ridder, E., 28 jun 2019Begeleider: Kaymak, U. (Afstudeerdocent 1), Sadowski, B. (Afstudeerdocent 2), Raiteri, E. (Afstudeerdocent 2), Zervanou, K. (Afstudeerdocent 2) & Zhang, Y. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Bestand
An ontology for special cargo: gathering and structuring knowledge within the planning of the special cargo domain for a top down ontology
Auteur: Kolkman, T., 31 mrt 2020Begeleider: Zervanou, K. (Afstudeerdocent 1) & Zhang, Y. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Bestand