Yingqian Zhang

According to our database, Yingqian Zhang authored at least 107 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration.

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

Proceedings of the Commit2Data, 2024

Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling.

Jesse van Remmerden, Zaharah Bukhsh, Yingqian Zhang

CoRR, 2024

UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model.

Xia Jiang, Yaoxin Wu, Yuan Wang, Yingqian Zhang

CoRR, 2024

Graph Neural Networks for Job Shop Scheduling Problems: A Survey.

Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Wim Nuijten, Yingqian Zhang

CoRR, 2024

Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization.

Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers, Charalampos Andriotis, Yingqian Zhang, Zaharah Bukhsh

CoRR, 2024

Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking.

Igor G. Smit, Zaharah Allah Bukhsh, Mykola Pechenizkiy, Kostas Alogariastos, Kasper Hendriks, Yingqian Zhang

CoRR, 2024

Cross-Problem Learning for Solving Vehicle Routing Problems.

Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning.

Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

2023

SCRE: special cargo relation extraction using representation learning.

Vahideh Reshadat, Alp Akcay, Kalliopi Zervanou, Yingqian Zhang, Eelco de Jong

Neural Comput. Appl., September, 2023

An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing.

Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak

IEEE Trans. Artif. Intell., June, 2023

The first AI4TSP competition: Learning to solve stochastic routing problems.

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

Artif. Intell., June, 2023

Policies for the dynamic traveling maintainer problem with alerts.

Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang

Eur. J. Oper. Res., 2023

Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI.

Jan de Leeuw, Zaharah Allah Bukhsh, Yingqian Zhang

CoRR, 2023

Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods.

Robbert Reijnen, Kjell van Straaten, Zaharah Allah Bukhsh, Yingqian Zhang

CoRR, 2023

Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model.

Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang

CoRR, 2023

Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks.

Ya Song, Laurens Bliek, Yingqian Zhang

CoRR, 2023

Digital Twin Applications in Urban Logistics: An Overview.

Abdo Abouelrous, Laurens Bliek, Yingqian Zhang

CoRR, 2023

Auction-based network slicing for 5G RAN.

Ligia Maria Moreira Zorello, Kazem Eradatmand, Sebastian Troia, Achille Pattavina, Yingqian Zhang, Guido Maier

Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining.

Britt Lukassen, Laura Genga, Yingqian Zhang

Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems.

Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey.

Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking.

Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Setting Reserve Prices in Second-Price Auctions with Unobserved Bids.

Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak

INFORMS J. Comput., 2022

Dynamic Ad Network Ordering Method Using Reinforcement Learning.

Reza Refaei Afshar, Yingqian Zhang, Uzay Kaymak

Int. J. Comput. Intell. Syst., 2022

Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems.

Remco Coppens, Robbert Reijnen, Yingqian Zhang, Laurens Bliek, Berend Steenhuisen

CoRR, 2022

Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning.

Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh

CoRR, 2022

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.

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

CoRR, 2022

Automated Reinforcement Learning: An Overview.

Reza Refaei Afshar, Yingqian Zhang, Joaquin Vanschoren, Uzay Kaymak

CoRR, 2022

Optimizing the inventory and fulfillment of an omnichannel retailer: a stochastic approach with scenario clustering.

Abdo Abouelrous, Adriana F. Gabor, Yingqian Zhang

Comput. Ind. Eng., 2022

Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization.

Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks.

David Kerkkamp, Zaharah Allah Bukhsh, Yingqian Zhang, Nils Jansen

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19.

Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

Deep Reinforcement Learning for a Multi-Objective Online Order Batching Problem.

Martijn Beeks, Reza Refaei Afshar, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst, Stijn de Looijer

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Knowledge Modeling and Incident Analysis for Special Cargo.

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

Proceedings of the Technologies and Applications for Big Data Value, 2022

2021

Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning.

Paulo da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak

SN Comput. Sci., 2021

Maximizing revenue for publishers using header bidding and ad exchange auctions.

Jason Rhuggenaath, Reza Refaei Afshar, Alp Akcay, Yingqian Zhang, Uzay Kaymak, Fatih Çolak, Muratcan Tanyerli

Oper. Res. Lett., 2021

Solving the online batching problem using deep reinforcement learning.

Bram Cals, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst

Comput. Ind. Eng., 2021

Preface.

Yingqian Zhang, Michele Lombardi, Patrick De Causmaecker

Ann. Math. Artif. Intell., 2021

Data driven design for online industrial auctions.

Qing Chuan Ye, Jason Rhuggenaath, Yingqian Zhang, Sicco Verwer, Michiel Jurgen Hilgeman

Ann. Math. Artif. Intell., 2021

Relation Representation Learning for Special Cargo Ontology.

Vahideh Reshadat, Alp Akcay, Kalliopi Zervanou, Yingqian Zhang, Eelco de Jong

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Improving Ambulance Dispatching with Machine Learning and Simulation.

Nikki Theeuwes, Geert-Jan van Houtum, Yingqian Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

The EURO Meets NeurIPS 2022 Vehicle Routing Competition.

Wouter Kool, Laurens Bliek, Danilo Numeroso, Yingqian Zhang, Tom Catshoek, Kevin Tierney, Thibaut Vidal, Joaquim A. S. Gromicho

Proceedings of the NeurIPS 2022 Competition Track, 2021

Learning 2-opt Local Search from Heuristics as Expert Demonstrations.

Paulo da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak

Proceedings of the International Joint Conference on Neural Networks, 2021

A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning.

Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Remaining useful lifetime prediction via deep domain adaptation.

Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak

Reliab. Eng. Syst. Saf., 2020

Regular Expression Learning from Positive Examples Based on Integer Programming.

Juntao Gao, Yingqian Zhang

Int. J. Softw. Eng. Knowl. Eng., 2020

Solving the Order Batching and Sequencing Problem using Deep Reinforcement Learning.

Bram Cals, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst

CoRR, 2020

Algorithms for slate bandits with non-separable reward functions.

Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak

CoRR, 2020

Column generation based heuristic for learning classification trees.

Murat Firat, Guillaume Crognier, Adriana F. Gabor, Cor A. J. Hurkens, Yingqian Zhang

Comput. Oper. Res., 2020

Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts.

Robbert Reijnen, Yingqian Zhang, Wim Nuijten, Çaglar Senaras, Mariana Goldak-Altgassen

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model.

Jeroen Verheugd, Paulo Roberto de Oliveira da Costa, Reza Refaei Afshar, Yingqian Zhang, Sjoerd Boersma

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Reserve price optimization with header bidding and Ad Exchange.

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak, Ali Izzet Metin, Gönenç Seçil Tarakçioglu, Cosku Bas

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions.

Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Dynamic Pricing Using Thompson Sampling with Fuzzy Events.

Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled.

Herbert van Leeuwen, Yingqian Zhang, Kalliopi Zervanou, Shantanu Mullick, Uzay Kaymak, Tom de Ruijter

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning.

Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay

Proceedings of The 12th Asian Conference on Machine Learning, 2020

A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning.

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Solving bin-packing problems under privacy preservation: Possibilities and trade-offs.

Rowan Hoogervorst, Yingqian Zhang, Gamze Tillem, Zekeriya Erkin, Sicco Verwer

Inf. Sci., 2019

Optimal display-ad allocation with guaranteed contracts and supply side platforms.

Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak

Comput. Ind. Eng., 2019

Machine Learning based Simulation Optimisation for Trailer Management.

Dylan Rijnen, Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand.

Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Term Based Semantic Clusters for Very Short Text Classification.

Jasper Paalman, Shantanu Mullick, Kalliopi Zervanou, Yingqian Zhang

Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Data-Driven Policy on Feasibility Determination for the Train Shunting Problem.

Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Determining Capacity of Shunting Yards by Combining Graph Classification with Local Search.

Arno van de Ven, Yingqian Zhang, Wan-Jui Lee, Rik Eshuis, Anna Wilbik

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Boosting Local Search Using Machine Learning: A Study on Improving Local Search by Graph Classification in Determining Capacity of Shunting Yards.

Arno van de Ven, Yingqian Zhang, Wan-Jui Lee

Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019

Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding.

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak

Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019

A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy.

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions.

Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Optimizing reserve prices for publishers in online ad auctions.

Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

A Decision Support Method to Increase the Revenue of Ad Publishers in Waterfall Strategy.

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

A PSO-based Algorithm for Reserve Price Optimization in Online Ad Auctions.

Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Formalization and Improvement of Ambulance Dispatching in Brabant-Zuidoost.

Nikki Theeuwes, Geert-Jan van Houtum, Yingqian Zhang, Björn Gadet

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Learning Optimal Classification Trees Using a Binary Linear Program Formulation.

Sicco Verwer, Yingqian Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Constructing classification trees using column generation.

Murat Firat, Guillaume Crognier, Adriana F. Gabor, Yingqian Zhang, Cor A. J. Hurkens

CoRR, 2018

Shunting Trains with Deep Reinforcement Learning.

Evertjan Peer, Vlado Menkovski, Yingqian Zhang, Wan-Jui Lee

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Learning fuzzy decision trees using integer programming.

Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak, Sicco Verwer

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Two-agent scheduling on a single parallel-batching machine with equal processing time and non-identical job sizes.

Jun-Qiang Wang, Guo-qiang Fan, Yingqian Zhang, Cheng-Wu Zhang, Joseph Y.-T. Leung

Eur. J. Oper. Res., 2017

Auction optimization using regression trees and linear models as integer programs.

Sicco Verwer, Yingqian Zhang, Qing Chuan Ye

Artif. Intell., 2017

Modeling participation behavior in repeated task allocations with fuzzy connectives.

Qing Chuan Ye, Yingqian Zhang, Uzay Kaymak

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Learning Decision Trees with Flexible Constraints and Objectives Using Integer Optimization.

Sicco Verwer, Yingqian Zhang

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017

2016

Schedule-based execution bottleneck identification in a job shop.

Junqiang Wang, Jian Chen, Yingqian Zhang, George Q. Huang

Comput. Ind. Eng., 2016

Participation Behavior and Social Welfare in Repeated Task Allocations.

Qing Chuan Ye, Yingqian Zhang

Proceedings of the IEEE International Conference on Agents, 2016

2015

Fair task allocation in transportation.

Qing Chuan Ye, Yingqian Zhang, Rommert Dekker

CoRR, 2015

2014

Finding Optimal Solutions for Voting Game Design Problems.

Bart de Keijzer, Tomas B. Klos, Yingqian Zhang

J. Artif. Intell. Res., 2014

Learning optimization models in the presence of unknown relations.

Sicco Verwer, Yingqian Zhang, Qing Chuan Ye

CoRR, 2014

A Tabu Search Algorithm for application placement in computer clustering.

Jelmer P. van der Gaast, Cornelius A. Rietveld, Adriana F. Gabor, Yingqian Zhang

Comput. Oper. Res., 2014

2012

Solving Weighted Voting Game Design Problems Optimally: Representations, Synthesis, and Enumeration

Bart de Keijzer, Tomas B. Klos, Yingqian Zhang

CoRR, 2012

Multiagent task allocation in social networks.

Mathijs de Weerdt, Yingqian Zhang, Tomas Klos

Auton. Agents Multi Agent Syst., 2012

Mechanism for Robust Procurements.

Yingqian Zhang, Sicco Verwer

Proceedings of the PRIMA 2012: Principles and Practice of Multi-Agent Systems, 2012

Revenue prediction in budget-constrained sequential auctions with complementarities.

Sicco Verwer, Yingqian Zhang

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2010

Coordination by design and the price of autonomy.

Adriaan ter Mors, Chetan Yadati, Cees Witteveen, Yingqian Zhang

Auton. Agents Multi Agent Syst., 2010

Coordinating Agents - An Analysis of Coordination in Supply-chain Management Tasks.

Chetan Yadati, Cees Witteveen, Yingqian Zhang

Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 2, 2010

Enumeration and exact design of weighted voting games.

Bart de Keijzer, Tomas Klos, Yingqian Zhang

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009

Computing the fault tolerance of multi-agent deployment.

Yingqian Zhang, Efrat Manisterski, Sarit Kraus, V. S. Subrahmanian, David Peleg

Artif. Intell., 2009

Creating Incentives to Prevent Intentional Execution Failures.

Yingqian Zhang, Mathijs de Weerdt

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009

On the Complexity of Efficiency and Envy-Freeness in Fair Division of Indivisible Goods with Additive Preferences.

Bart de Keijzer, Sylvain Bouveret, Tomas Klos, Yingqian Zhang

Proceedings of the Algorithmic Decision Theory, First International Conference, 2009

2008

Autonomous Scheduling with Unbounded and Bounded Agents.

Chetan Yadati, Cees Witteveen, Yingqian Zhang, Mengxiao Wu, Han La Poutré

Proceedings of the Multiagent System Technologies, 6th German Conference, 2008

Autonomous Scheduling.

Chetan Yadati, Cees Witteveen, Yingqian Zhang, Mengxiao Wu, Han La Poutré

Proceedings of the 2008 International Conference on Foundations of Computer Science, 2008

Of Mechanism Design Multiagent Planning.

Roman van der Krogt, Mathijs de Weerdt, Yingqian Zhang

Proceedings of the ECAI 2008, 2008

Creating incentives to prevent execution failures: an extension of VCG mechanism.

Yingqian Zhang, Mathijs de Weerdt

Proceedings of the Planning in Multiagent Systems, 09.11. - 14.11.2008, 2008

Preventing Under-Reporting in Social Task Allocation.

Mathijs de Weerdt, Yingqian Zhang

Proceedings of the Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, 2008

2007

Plan-Coordination Mechanisms and the Price of Autonomy.

J. Renze Steenhuisen, Cees Witteveen, Yingqian Zhang

Proceedings of the Computational Logic in Multi-Agent Systems, 8th International Workshop, 2007

Distributed task allocation in social networks.

Mathijs de Weerdt, Yingqian Zhang, Tomas Klos

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

2005

Towards fault tolerance for multiagent systems.

Yingqian Zhang

Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

IMPACT: A Multi-Agent Framework with Declarative Semantics.

Jürgen Dix, Yingqian Zhang

Proceedings of the Multi-Agent Programming: Languages, Platforms and Applications, 2005

2004

Distributed Algorithms for Dynamic Survivability of Multiagent Systems.

V. S. Subrahmanian, Sarit Kraus, Yingqian Zhang

Proceedings of the Computational Logic in Multi-Agent Systems, 4th International Workshop, 2004

2003

Monitoring Agents using Declarative Planning.

Jürgen Dix, Thomas Eiter, Michael Fink, Axel Polleres, Yingqian Zhang

Fundam. Informaticae, 2003