Yingqian Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Job Shop Scheduling

Reinforcement Learning

Adaptive Parameter Control

Vehicle Routing

Top Venues

Publications

Igor G. Smit, Zaharah Allah Bukhsh, Mykola Pechenizkiy, Kostas Alogariastos, Kasper Hendriks, Yingqian Zhang
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking. CoRR (2024)
Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers, Charalampos Andriotis, Yingqian Zhang, Zaharah Bukhsh
Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization. CoRR (2024)
Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
Cross-Problem Learning for Solving Vehicle Routing Problems. CoRR (2024)
Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh
Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning. ICAPS (2024)
Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Wim Nuijten, Yingqian Zhang
Graph Neural Networks for Job Shop Scheduling Problems: A Survey. CoRR (2024)
Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak
An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing. IEEE Trans. Artif. Intell. 4 (3) (2023)
Jan de Leeuw, Zaharah Allah Bukhsh, Yingqian Zhang
Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI. CoRR (2023)
Yingqian Zhang, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki
The first AI4TSP competition: Learning to solve stochastic routing problems. Artif. Intell. 319 (2023)
Ya Song, Laurens Bliek, Yingqian Zhang
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks. CoRR (2023)
Robbert Reijnen, Kjell van Straaten, Zaharah Allah Bukhsh, Yingqian Zhang
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods. CoRR (2023)
Abdo Abouelrous, Laurens Bliek, Yingqian Zhang
Digital Twin Applications in Urban Logistics: An Overview. CoRR (2023)
Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking. ACML (2023)
Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model. CoRR (2023)
Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang
Policies for the dynamic traveling maintainer problem with alerts. Eur. J. Oper. Res. 305 (3) (2023)
Britt Lukassen, Laura Genga, Yingqian Zhang
Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining. LION (2023)
Ligia Maria Moreira Zorello, Kazem Eradatmand, Sebastian Troia, Achille Pattavina, Yingqian Zhang, Guido Maier
Auction-based network slicing for 5G RAN. NetSoft (2023)
Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang
Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey. CIBCB (2023)
Vahideh Reshadat, Alp Akcay, Kalliopi Zervanou, Yingqian Zhang, Eelco de Jong
SCRE: special cargo relation extraction using representation learning. Neural Comput. Appl. 35 (25) (2023)
Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems. GECCO Companion (2023)
David Kerkkamp, Zaharah Allah Bukhsh, Yingqian Zhang, Nils Jansen
Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks. ICAART (2) (2022)
Reza Refaei Afshar, Yingqian Zhang, Uzay Kaymak
Dynamic Ad Network Ordering Method Using Reinforcement Learning. Int. J. Comput. Intell. Syst. 15 (1) (2022)
Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek
Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization. SSCI (2022)
Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. CIBCB (2022)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Setting Reserve Prices in Second-Price Auctions with Unobserved Bids. INFORMS J. Comput. 34 (6) (2022)
Martijn Beeks, Reza Refaei Afshar, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst, Stijn de Looijer
Deep Reinforcement Learning for a Multi-Objective Online Order Batching Problem. ICAPS (2022)
Abdo Abouelrous, Adriana F. Gabor, Yingqian Zhang
Optimizing the inventory and fulfillment of an omnichannel retailer: a stochastic approach with scenario clustering. Comput. Ind. Eng. 173 (2022)
Remco Coppens, Robbert Reijnen, Yingqian Zhang, Laurens Bliek, Berend Steenhuisen
Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems. CoRR (2022)
Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning. CoRR (2022)
Wouter Kool, Laurens Bliek, Danilo Numeroso, Yingqian Zhang, Tom Catshoek, Kevin Tierney, Thibaut Vidal, Joaquim A. S. Gromicho
The EURO Meets NeurIPS 2022 Vehicle Routing Competition. NeurIPS (Competition and Demos) (2021)
Qing Chuan Ye, Yingqian Zhang
Participation Behavior and Social Welfare in Repeated Task Allocations. ICA (2016)