Yingqian Zhang

153 papers A* 7A 6B 14C 6Misc 2Journal 74Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives. CoRR Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan
2026	J	`jnl`	End-to-end Deep Reinforcement Learning for Stochastic Multi-objective Optimization in C-VRPTW. Trans. Mach. Learn. Res. Abdo Abouelrous, Laurens Bliek, Yaoxin Wu, Yingqian Zhang
2026	—	`ed.`	Learning and Intelligent Optimization - 19th International Conference, LION 19, Prague, Czech Republic, June 15-19, 2025, Proceedings, Part I LION (1) Yingqian Zhang, Milan Hladík, Hossein Moosaei
2026	—	`ed.`	Learning and Intelligent Optimization - 19th International Conference, LION 19, Prague, Czech Republic, June 15-19, 2025, Proceedings, Part II LION (2) Yingqian Zhang, Milan Hladík, Hossein Moosaei
2026	J	`jnl`	Optimization of 5G RAN network slicing based on auction models. Comput. Networks Mengyao Li, Ligia Maria Moreira Zorello, Sebastian Troia, Yingqian Zhang, Guido Maier
2026	J	`jnl`	Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization. CoRR Xia Jiang, Jing Chen, Cong Zhang, Jie Gao, Chengpeng Hu, Chenhao Zhang, Yaoxin Wu, Yingqian Zhang
2026	J	`jnl`	Self-supervise ensemble for extreme imbalance data streams with concept drift. Neurocomputing Yiming Teng, Zaharah Bukhsh, Yingqian Zhang, Hang Yin
2026	J	`jnl`	Towards Solving Polynomial-Objective Integer Programming with Hypergraph Neural Networks. CoRR Minshuo Li, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten
2025	—	`conf`	Algorithm Configuration in Sequential Decision-Making. CPAIOR (1) Luca Begnardi, Bart von Meijenfeldt, Yingqian Zhang, Willem van Jaarsveld, Hendrik Baier
2025	—	`conf`	Assessing and Quantifying Perceived Trust in Interpretable Clinical Decision Support. xAI (3) Mohsen Abbaspour Onari, Isel Grau, Chao Zhang, Marco S. Nobile, Yingqian Zhang
2025	A*	`conf`	DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints. ICLR Xia Jiang, Yaoxin Wu, Chenhao Zhang, Yingqian Zhang
2025	J	`jnl`	Data science meets optimization II. Ann. Math. Artif. Intell. Yingqian Zhang, Tias Guns, Michele Lombardi, Patrick De Causmaecker
2025	—	`conf`	Deep Reinforcement Learning Based Genetic Framework for Flexible Job-Shop Scheduling Under Practical Constraints. LION (1) Kjell van Straaten, Robbert Reijnen, Zaharah Bukhsh, Yaoxin Wu, Yingqian Zhang
2025	J	`jnl`	Deep multi-objective reinforcement learning for utility-based infrastructural maintenance optimization. Neural Comput. Appl. Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers, Charalampos Andriotis, Yingqian Zhang, Zaharah Bukhsh
2025	J	`jnl`	End-to-end Deep Reinforcement Learning for Stochastic Multi-objective Optimization in C-VRPTW. CoRR Abdo Abouelrous, Laurens Bliek, Yaoxin Wu, Yingqian Zhang
2025	J	`jnl`	Enhancing Remaining Useful Life Prediction with Ensemble Multi-Term Fourier Graph Neural Networks. Trans. Mach. Learn. Res. Ya Song, Laurens Bliek, Yaoxin Wu, Yingqian Zhang
2025	J	`jnl`	Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Data. CoRR Jesse van Remmerden, Zaharah Bukhsh, Yingqian Zhang
2025	—	`conf`	Geometrically Invariant and Equivariant Graph Neural Networks for TSP Algorithm Selection and Hardness Prediction. LION (1) Ya Song, Laurens Bliek, Yingqian Zhang
2025	J	`jnl`	Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application. CoRR Abdo Abouelrous, Laurens Bliek, Adriana F. Gabor, Yaoxin Wu, Yingqian Zhang
2025	J	`jnl`	Graph neural networks for job shop scheduling problems: A survey. Comput. Oper. Res. Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang, Wim Nuijten
2025	A*	`conf`	Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization. ICML Robbert Reijnen, Yaoxin Wu, Zaharah Bukhsh, Yingqian Zhang
2025	J	`jnl`	Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization. CoRR Robbert Reijnen, Yaoxin Wu, Zaharah Bukhsh, Yingqian Zhang
2025	J	`jnl`	Large Language Models as End-to-end Combinatorial Optimization Solvers. CoRR Xia Jiang, Yaoxin Wu, Minshuo Li, Zhiguang Cao, Yingqian Zhang
2025	J	`jnl`	Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust. CoRR Mohsen Abbaspour Onari, Lucie Charlotte Magister, Yaoxin Wu, Amalia Lupi, Dario Creazzo, Mattia Tordin, Luigi Di Donatantonio, Emilio Quaia, Chao Zhang, Isel Grau, Marco S. Nobile, Yingqian Zhang, Pietro Liò
2025	A*	`conf`	Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems. AAAI Igor G. Smit, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten
2025	J	`jnl`	Offline reinforcement learning for learning to dispatch for job shop scheduling. Mach. Learn. Jesse van Remmerden, Zaharah Bukhsh, Yingqian Zhang
2025	C	`conf`	Pair-Bid Auction Model for Optimized Network Slicing in 5G RAN. ISCC Mengyao Li, Sebastian Troia, Yingqian Zhang, Guido Maier
2025	J	`jnl`	Pair-Bid Auction Model for Optimized Network Slicing in 5G RAN. CoRR Mengyao Li, Sebastian Troia, Yingqian Zhang, Guido Maier
2025	J	`jnl`	Reinforcement Learning for Solving the Pricing Problem in Column Generation: Applications to Vehicle Routing. CoRR Abdo Abouelrous, Laurens Bliek, Adriana F. Gabor, Yaoxin Wu, Yingqian Zhang
2025	—	`conf`	Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks. ICAART (3) Ya Song, Laurens Bliek, Yingqian Zhang
2025	A	`conf`	Search Trajectory Network-Enhanced Multi-Objective Dynamic Algorithm Configuration. ECAI Robbert Reijnen, Zaharah Bukhsh, Hoong Chuin Lau, Yaoxin Wu, Yingqian Zhang
2025	J	`jnl`	Solving two-stage stochastic integer programs via representation learning. Neural Networks Yaoxin Wu, Zhiguang Cao, Wen Song, Yingqian Zhang
2025	—	`conf`	The Dynamics of Trust in XAI: Assessing Perceived and Demonstrated Trust Across Interaction Modes and Risk Treatments. xAI (1) Mohsen Abbaspour Onari, Gregor Baer, Chao Zhang, Isel Grau, Marco S. Nobile, Yingqian Zhang
2024	A*	`conf`	Cross-Problem Learning for Solving Vehicle Routing Problems. IJCAI Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
2024	J	`jnl`	Cross-Problem Learning for Solving Vehicle Routing Problems. CoRR Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
2024	J	`jnl`	Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization. CoRR Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers, Charalampos Andriotis, Yingqian Zhang, Zaharah Bukhsh
2024	J	`jnl`	Graph Neural Networks for Job Shop Scheduling Problems: A Survey. CoRR Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Wim Nuijten, Yingqian Zhang
2024	J	`jnl`	Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking. CoRR Igor G. Smit, Zaharah Allah Bukhsh, Mykola Pechenizkiy, Kostas Alogariastos, Kasper Hendriks, Yingqian Zhang
2024	J	`jnl`	Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems. CoRR Igor G. Smit, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten
2024	J	`jnl`	Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling. CoRR Jesse van Remmerden, Zaharah Bukhsh, Yingqian Zhang
2024	A*	`conf`	Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning. ICAPS Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh
2024	—	`ch.`	Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration. Commit2Data Willem van Jaarsveld, Alp Akçay, Laurens Bliek, Paulo da Costa, Mathijs de Weerdt, Rik Eshuis, Stella Kapodistria, Uzay Kaymak, Verus Pronk, Geert-Jan van Houtum, Peter Verleijsdonk, Sicco Verwer, Simon Voorberg, Yingqian Zhang
2024	J	`jnl`	UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model. CoRR Xia Jiang, Yaoxin Wu, Yuan Wang, Yingqian Zhang
2023	J	`jnl`	An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing. IEEE Trans. Artif. Intell. Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak
2023	B	`conf`	Auction-based network slicing for 5G RAN. NetSoft Ligia Maria Moreira Zorello, Kazem Eradatmand, Sebastian Troia, Achille Pattavina, Yingqian Zhang, Guido Maier
2023	C	`conf`	Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking. ACML Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang
2023	J	`jnl`	Digital Twin Applications in Urban Logistics: An Overview. CoRR Abdo Abouelrous, Laurens Bliek, Yingqian Zhang
2023	—	`conf`	Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining. LION Britt Lukassen, Laura Genga, Yingqian Zhang
2023	J	`jnl`	Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods. CoRR Robbert Reijnen, Kjell van Straaten, Zaharah Allah Bukhsh, Yingqian Zhang
2023	—	`conf`	Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems. GECCO Companion Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek
2023	J	`jnl`	Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model. CoRR Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang
2023	J	`jnl`	Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI. CoRR Jan de Leeuw, Zaharah Allah Bukhsh, Yingqian Zhang
2023	J	`jnl`	Policies for the dynamic traveling maintainer problem with alerts. Eur. J. Oper. Res. Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang
2023	J	`jnl`	Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks. CoRR Ya Song, Laurens Bliek, Yingqian Zhang
2023	J	`jnl`	SCRE: special cargo relation extraction using representation learning. Neural Comput. Appl. Vahideh Reshadat, Alp Akcay, Kalliopi Zervanou, Yingqian Zhang, Eelco de Jong
2023	J	`jnl`	The first AI4TSP competition: Learning to solve stochastic routing problems. Artif. Intell. 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
2023	C	`conf`	Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey. CIBCB Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang
2022	J	`jnl`	Automated Reinforcement Learning: An Overview. CoRR Reza Refaei Afshar, Yingqian Zhang, Joaquin Vanschoren, Uzay Kaymak
2022	C	`conf`	Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. CIBCB Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst
2022	—	`conf`	Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization. SSCI Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek
2022	A*	`conf`	Deep Reinforcement Learning for a Multi-Objective Online Order Batching Problem. ICAPS Martijn Beeks, Reza Refaei Afshar, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst, Stijn de Looijer
2022	J	`jnl`	Dynamic Ad Network Ordering Method Using Reinforcement Learning. Int. J. Comput. Intell. Syst. Reza Refaei Afshar, Yingqian Zhang, Uzay Kaymak
2022	—	`conf`	Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks. ICAART (2) David Kerkkamp, Zaharah Allah Bukhsh, Yingqian Zhang, Nils Jansen
2022	—	`ch.`	Knowledge Modeling and Incident Analysis for Special Cargo. Technologies and Applications for Big Data Value Vahideh Reshadat, Tess Kolkman, Kalliopi Zervanou, Yingqian Zhang, Alp Akçay, Carlijn Snijder, Ryan McDonnell, Karel Schorer, Casper Wichers, Thomas Koch, Elenna R. Dugundji, Eelco de Jong
2022	J	`jnl`	Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems. CoRR Remco Coppens, Robbert Reijnen, Yingqian Zhang, Laurens Bliek, Berend Steenhuisen
2022	J	`jnl`	Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning. CoRR Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh
2022	J	`jnl`	Optimizing the inventory and fulfillment of an omnichannel retailer: a stochastic approach with scenario clustering. Comput. Ind. Eng. Abdo Abouelrous, Adriana F. Gabor, Yingqian Zhang
2022	J	`jnl`	Setting Reserve Prices in Second-Price Auctions with Unobserved Bids. INFORMS J. Comput. Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2022	J	`jnl`	The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. CoRR Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Yingqian Zhang, 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
2021	B	`conf`	A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning. IJCNN Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak
2021	J	`jnl`	Data driven design for online industrial auctions. Ann. Math. Artif. Intell. Qing Chuan Ye, Jason Rhuggenaath, Yingqian Zhang, Sicco Verwer, Michiel Jurgen Hilgeman
2021	—	`conf`	Improving Ambulance Dispatching with Machine Learning and Simulation. ECML/PKDD (4) Nikki Theeuwes, Geert-Jan van Houtum, Yingqian Zhang
2021	J	`jnl`	Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning. SN Comput. Sci. Paulo da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak
2021	B	`conf`	Learning 2-opt Local Search from Heuristics as Expert Demonstrations. IJCNN Paulo da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
2021	J	`jnl`	Maximizing revenue for publishers using header bidding and ad exchange auctions. Oper. Res. Lett. Jason Rhuggenaath, Reza Refaei Afshar, Alp Akcay, Yingqian Zhang, Uzay Kaymak, Fatih Çolak, Muratcan Tanyerli
2021	J	`jnl`	Policies for the Dynamic Traveling Maintainer Problem with Alerts. CoRR Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang
2021	J	`jnl`	Preface. Ann. Math. Artif. Intell. Yingqian Zhang, Michele Lombardi, Patrick De Causmaecker
2021	—	`conf`	Relation Representation Learning for Special Cargo Ontology. SSCI Vahideh Reshadat, Alp Akcay, Kalliopi Zervanou, Yingqian Zhang, Eelco de Jong
2021	J	`jnl`	Solving the online batching problem using deep reinforcement learning. Comput. Ind. Eng. Bram Cals, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst
2021	—	`conf`	The EURO Meets NeurIPS 2022 Vehicle Routing Competition. NeurIPS (Competition and Demos) Wouter Kool, Laurens Bliek, Danilo Numeroso, Yingqian Zhang, Tom Catshoek, Kevin Tierney, Thibaut Vidal, Joaquim A. S. Gromicho
2020	C	`conf`	A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. ACML Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
2020	J	`jnl`	A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. CoRR Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
2020	J	`jnl`	Algorithms for slate bandits with non-separable reward functions. CoRR Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2020	J	`jnl`	Column generation based heuristic for learning classification trees. Comput. Oper. Res. Murat Firat, Guillaume Crognier, Adriana F. Gabor, Cor A. J. Hurkens, Yingqian Zhang
2020	—	`conf`	Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts. SSCI Robbert Reijnen, Yingqian Zhang, Wim Nuijten, Çaglar Senaras, Mariana Goldak-Altgassen
2020	—	`conf`	Dynamic Pricing Using Thompson Sampling with Fuzzy Events. IPMU (1) Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
2020	C	`conf`	Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. ACML Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay
2020	J	`jnl`	Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. CoRR Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay
2020	—	`conf`	Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled. ICAART (2) Herbert van Leeuwen, Yingqian Zhang, Kalliopi Zervanou, Shantanu Mullick, Uzay Kaymak, Tom de Ruijter
2020	—	`conf`	Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions. ECML/PKDD (2) Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
2020	B	`conf`	Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model. SMC Jeroen Verheugd, Paulo Roberto de Oliveira da Costa, Reza Refaei Afshar, Yingqian Zhang, Sjoerd Boersma
2020	J	`jnl`	Regular Expression Learning from Positive Examples Based on Integer Programming. Int. J. Softw. Eng. Knowl. Eng. Juntao Gao, Yingqian Zhang
2020	J	`jnl`	Remaining useful lifetime prediction via deep domain adaptation. Reliab. Eng. Syst. Saf. Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2020	B	`conf`	Reserve price optimization with header bidding and Ad Exchange. SMC Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak, Ali Izzet Metin, Gönenç Seçil Tarakçioglu, Cosku Bas
2020	J	`jnl`	Solving the Order Batching and Sequencing Problem using Deep Reinforcement Learning. CoRR Bram Cals, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst
2019	—	`conf`	A Decision Support Method to Increase the Revenue of Ad Publishers in Waterfall Strategy. CIFEr Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
2019	B	`conf`	A PSO-based Algorithm for Reserve Price Optimization in Online Ad Auctions. CEC Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2019	—	`conf`	A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy. BNAIC/BENELEARN Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
2019	—	`conf`	A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy. ICAART (2) Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
2019	B	`conf`	A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand. SMC Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2019	—	`conf`	Boosting Local Search Using Machine Learning: A Study on Improving Local Search by Graph Classification in Determining Capacity of Shunting Yards. ICAART (Revised Selected Papers) Arno van de Ven, Yingqian Zhang, Wan-Jui Lee
2019	—	`conf`	Data-Driven Policy on Feasibility Determination for the Train Shunting Problem. BNAIC/BENELEARN Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
2019	—	`conf`	Data-Driven Policy on Feasibility Determination for the Train Shunting Problem. ECML/PKDD (3) Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
2019	J	`jnl`	Data-driven Policy on Feasibility Determination for the Train Shunting Problem. CoRR Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
2019	—	`conf`	Determining Capacity of Shunting Yards by Combining Graph Classification with Local Search. ICAART (2) Arno van de Ven, Yingqian Zhang, Wan-Jui Lee, Rik Eshuis, Anna Wilbik
2019	—	`conf`	Formalization and Improvement of Ambulance Dispatching in Brabant-Zuidoost. BNAIC/BENELEARN Nikki Theeuwes, Geert-Jan van Houtum, Yingqian Zhang, Björn Gadet
2019	B	`conf`	Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions. FUZZ-IEEE Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2019	A*	`conf`	Learning Optimal Classification Trees Using a Binary Linear Program Formulation. AAAI Sicco Verwer, Yingqian Zhang
2019	—	`conf`	Learning Optimal Classification Trees Using a Binary Linear Program Formulation. BNAIC/BENELEARN Sicco Verwer, Yingqian Zhang
2019	B	`conf`	Machine Learning based Simulation Optimisation for Trailer Management. SMC Dylan Rijnen, Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang
2019	J	`jnl`	Machine Learning based Simulation Optimisation for Trailer Management. CoRR Dylan Rijnen, Jason Rhuggenaath, Paulo R. de O. da Costa, Yingqian Zhang
2019	J	`jnl`	Optimal display-ad allocation with guaranteed contracts and supply side platforms. Comput. Ind. Eng. Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2019	—	`conf`	Optimizing reserve prices for publishers in online ad auctions. CIFEr Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2019	—	`conf`	Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding. ICAART (Revised Selected Papers) Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
2019	J	`jnl`	Remaining Useful Lifetime Prediction via Deep Domain Adaptation. CoRR Paulo R. de O. da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2019	J	`jnl`	Solving bin-packing problems under privacy preservation: Possibilities and trade-offs. Inf. Sci. Rowan Hoogervorst, Yingqian Zhang, Gamze Tillem, Zekeriya Erkin, Sicco Verwer
2019	—	`conf`	Term Based Semantic Clusters for Very Short Text Classification. BNAIC/BENELEARN Jasper Paalman, Shantanu Mullick, Kalliopi Zervanou, Yingqian Zhang
2019	Misc	`conf`	Term Based Semantic Clusters for Very Short Text Classification. RANLP Jasper Paalman, Shantanu Mullick, Kalliopi Zervanou, Yingqian Zhang
2018	J	`jnl`	Constructing classification trees using column generation. CoRR Murat Firat, Guillaume Crognier, Adriana F. Gabor, Yingqian Zhang, Cor A. J. Hurkens
2018	B	`conf`	Learning fuzzy decision trees using integer programming. FUZZ-IEEE Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak, Sicco Verwer
2018	B	`conf`	Shunting Trains with Deep Reinforcement Learning. SMC Evertjan Peer, Vlado Menkovski, Yingqian Zhang, Wan-Jui Lee
2017	J	`jnl`	Auction optimization using regression trees and linear models as integer programs. Artif. Intell. Sicco Verwer, Yingqian Zhang, Qing Chuan Ye
2017	B	`conf`	Learning Decision Trees with Flexible Constraints and Objectives Using Integer Optimization. CPAIOR Sicco Verwer, Yingqian Zhang
2017	B	`conf`	Modeling participation behavior in repeated task allocations with fuzzy connectives. SMC Qing Chuan Ye, Yingqian Zhang, Uzay Kaymak
2017	J	`jnl`	Two-agent scheduling on a single parallel-batching machine with equal processing time and non-identical job sizes. Eur. J. Oper. Res. Jun-Qiang Wang, Guo-Qiang Fan, Yingqian Zhang, Cheng-Wu Zhang, Joseph Y.-T. Leung
2016	—	`conf`	Participation Behavior and Social Welfare in Repeated Task Allocations. ICA Qing Chuan Ye, Yingqian Zhang
2016	J	`jnl`	Schedule-based execution bottleneck identification in a job shop. Comput. Ind. Eng. Junqiang Wang, Jian Chen, Yingqian Zhang, George Q. Huang
2015	J	`jnl`	Fair task allocation in transportation. CoRR Qing Chuan Ye, Yingqian Zhang, Rommert Dekker
2014	J	`jnl`	A Tabu Search Algorithm for application placement in computer clustering. Comput. Oper. Res. Jelmer P. van der Gaast, Cornelius A. Rietveld, Adriana F. Gabor, Yingqian Zhang
2014	J	`jnl`	Finding Optimal Solutions for Voting Game Design Problems. J. Artif. Intell. Res. Bart de Keijzer, Tomas B. Klos, Yingqian Zhang
2014	J	`jnl`	Learning optimization models in the presence of unknown relations. CoRR Sicco Verwer, Yingqian Zhang, Qing Chuan Ye
2012	B	`conf`	Mechanism for Robust Procurements. PRIMA Yingqian Zhang, Sicco Verwer
2012	J	`jnl`	Multiagent task allocation in social networks. Auton. Agents Multi Agent Syst. Mathijs de Weerdt, Yingqian Zhang, Tomas Klos
2012	A	`conf`	Revenue prediction in budget-constrained sequential auctions with complementarities. AAMAS Sicco Verwer, Yingqian Zhang
2012	J	`jnl`	Solving Weighted Voting Game Design Problems Optimally: Representations, Synthesis, and Enumeration CoRR Bart de Keijzer, Tomas B. Klos, Yingqian Zhang
2010	—	`conf`	Coordinating Agents - An Analysis of Coordination in Supply-chain Management Tasks. ICAART (2) Chetan Yadati, Cees Witteveen, Yingqian Zhang
2010	J	`jnl`	Coordination by design and the price of autonomy. Auton. Agents Multi Agent Syst. Adriaan ter Mors, Chetan Yadati, Cees Witteveen, Yingqian Zhang
2010	A	`conf`	Enumeration and exact design of weighted voting games. AAMAS Bart de Keijzer, Tomas Klos, Yingqian Zhang
2009	J	`jnl`	Computing the fault tolerance of multi-agent deployment. Artif. Intell. Yingqian Zhang, Efrat Manisterski, Sarit Kraus, V. S. Subrahmanian, David Peleg
2009	—	`conf`	Creating Incentives to Prevent Intentional Execution Failures. IAT Yingqian Zhang, Mathijs de Weerdt
2009	—	`conf`	On the Complexity of Efficiency and Envy-Freeness in Fair Division of Indivisible Goods with Additive Preferences. ADT Bart de Keijzer, Sylvain Bouveret, Tomas Klos, Yingqian Zhang
2008	—	`conf`	Autonomous Scheduling with Unbounded and Bounded Agents. MATES Chetan Yadati, Cees Witteveen, Yingqian Zhang, Mengxiao Wu, Han La Poutré
2008	—	`conf`	Autonomous Scheduling. FCS Chetan Yadati, Cees Witteveen, Yingqian Zhang, Mengxiao Wu, Han La Poutré
2008	—	`conf`	Creating incentives to prevent execution failures: an extension of VCG mechanism. Planning in Multiagent Systems Yingqian Zhang, Mathijs de Weerdt
2008	A	`conf`	Of Mechanism Design Multiagent Planning. ECAI Roman van der Krogt, Mathijs de Weerdt, Yingqian Zhang
2008	—	`conf`	Preventing Under-Reporting in Social Task Allocation. AMEC/TADA Mathijs de Weerdt, Yingqian Zhang
2007	A	`conf`	Distributed task allocation in social networks. AAMAS Mathijs de Weerdt, Yingqian Zhang, Tomas Klos
2007	—	`conf`	Plan-Coordination Mechanisms and the Price of Autonomy. CLIMA J. Renze Steenhuisen, Cees Witteveen, Yingqian Zhang
2005	—	`ch.`	IMPACT: A Multi-Agent Framework with Declarative Semantics. Multi-Agent Programming Jürgen Dix, Yingqian Zhang
2005	A	`conf`	Towards fault tolerance for multiagent systems. AAMAS Yingqian Zhang
2004	—	`conf`	Distributed Algorithms for Dynamic Survivability of Multiagent Systems. CLIMA V. S. Subrahmanian, Sarit Kraus, Yingqian Zhang
2003	Misc	`conf`	Monitoring Agents Using Declarative Planning. KI Jürgen Dix, Thomas Eiter, Michael Fink, Axel Polleres, Yingqian Zhang
2003	J	`jnl`	Monitoring Agents using Declarative Planning. Fundam. Informaticae Jürgen Dix, Thomas Eiter, Michael Fink, Axel Polleres, Yingqian Zhang