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Yingqian Zhang
Yingqian Zhang
Associate Professor of AI for Decision-Making, Eindhoven University of Technology
Geverifieerd e-mailadres voor tue.nl - Homepage
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Remaining useful lifetime prediction via deep domain adaptation
PRO da Costa, A Akçay, Y Zhang, U Kaymak
Reliability Engineering & System Safety, 106682, 2019
2922019
Learning optimal classification trees using a binary linear program formulation
S Verwer, Y Zhang
Proceedings of the AAAI conference on artificial intelligence 33 (01), 1625-1632, 2019
2122019
Learning 2-opt heuristics for the traveling salesman problem via deep reinforcement learning
PR d O Costa, J Rhuggenaath, Y Zhang, A Akcay
Asian Conference on Machine Learning, 465-480, 2020
1682020
Distributed task allocation in social networks
M De Weerdt, Y Zhang, T Klos
Proceedings of the 6th international joint conference on Autonomous agents …, 2007
1092007
Multiagent task allocation in social networks
MM de Weerdt, Y Zhang, T Klos
Autonomous Agents and Multi-Agent Systems 25, 46-86, 2012
1002012
Learning decision trees with flexible constraints and objectives using integer optimization
S Verwer, Y Zhang
Integration of AI and OR Techniques in Constraint Programming: 14th …, 2017
942017
On the complexity of efficiency and envy-freeness in fair division of indivisible goods with additive preferences
B Keijzer, S Bouveret, T Klos, Y Zhang
International Conference on Algorithmic Decision Theory, 98-110, 2009
912009
Auction optimization using regression trees and linear models as integer programs
S Verwer, Y Zhang, QC Ye
Artificial Intelligence 244, 368–395, 2017
642017
Solving the online batching problem using deep reinforcement learning
B Cals, Y Zhang, R Dijkman, C van Dorst
Computers & Industrial Engineering 156, 107221, 2021
552021
Attention and long short-term memory network for remaining useful lifetime predictions of turbofan engine degradation
PRDO Da Costa, A Akcay, Y Zhang, U Kaymak
International journal of prognostics and health management 10, 034, 2019
502019
Learning 2-opt heuristics for routing problems via deep reinforcement learning
P da Costa, J Rhuggenaath, Y Zhang, A Akcay, U Kaymak
SN Computer Science 2, 1-16, 2021
472021
A group risk assessment approach for the selection of pharmaceutical product shipping lanes
S Faghih-Roohi, A Akcay, Y Zhang, E Shekarian, E de Jong
International Journal of Production Economics 229, 107774, 2020
432020
Column generation based math-heuristic for classification trees
M Firat, G Crognier, AF Gabor, CAJ Hurkens, Y Zhang
arXiv preprint arXiv:1810.06684, 2018
43*2018
Shunting Trains with Deep Reinforcement Learning
E Peer, Y Zhang, V Menkovski, WJ Lee, B Huisman
The 30th Benelux Conference on Artificial Intelligence, 175-176, 2018
382018
Shunting Trains with Deep Reinforcement Learning
E Peer, V Menkovski, Y Zhang, WJ Lee
The 2018 IEEE International Conference on Systems, Man, and Cybernetics …, 2018
382018
Two-agent scheduling on a single parallel-batching machine with equal processing time and non-identical job sizes
JQ Wang, GQ Fan, Y Zhang, CW Zhang, JYT Leung
European Journal of Operational Research 258 (2), 478-490, 2017
382017
Schedule-based Execution Bottlenecks Identification in a Job Shop
J Wang, J Chen, Y Zhang, GQ Huang
Computers & Industrial Engineering 98 (0360-8352), 308-322, 2016
372016
Fair task allocation in transportation
QC Ye, Y Zhang, R Dekker
Omega 68, 1-16, 2017
332017
Enumeration and exact design of weighted voting games
B de Keijzer, T Klos, Y Zhang
Proceedings of the 9th International Conference on Autonomous Agents and …, 2010
322010
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
RR Afshar, Y Zhang, M Firat, U Kaymak
Asian Conference on Machine Learning, 81-96, 2020
302020
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