Yingqian Zhang

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 62

Top Topics

Integer Program

Reinforcement Learning

Dynamic Pricing

Top Venues

BNAIC/BENELEARN

Publications

Yingqian Zhang, Jiaye Wu, Hui Xie, Rongru Hua, Qiang Li
NASA space station rolling bearings anomaly detection based on PARA-LSTM model. Int. J. Sens. Networks 44 (1) (2024)
Dehui Wang, Shuang Zhou, Yingqian Zhang
A spatiotemporal chaos based deep learning model watermarking scheme. Appl. Soft Comput. 164 (2024)
Reza Refaei Afshar, Yingqian Zhang, Joaquin Vanschoren, Uzay Kaymak
Automated Reinforcement Learning: An Overview. CoRR (2022)
Shuang Zhou, Xingyuan Wang, Yingqian Zhang, Bin Ge, Mingxu Wang, Suo Gao
A novel image encryption cryptosystem based on true random numbers and chaotic systems. Multim. Syst. 28 (1) (2022)
Jin Hao, Jun Mou, Li Xiong, Yingqian Zhang, Xinyu Gao, Yuwen Sha
A novel color image encryption algorithm based on the fractional order laser chaotic system and the DNA mutation principle. Multim. Tools Appl. 81 (1) (2022)
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
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. CoRR (2022)
Vahideh Reshadat, Alp Akcay, Kalliopi Zervanou, Yingqian Zhang, Eelco de Jong
Relation Representation Learning for Special Cargo Ontology. SSCI (2021)
Paulo da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning. SN Comput. Sci. 2 (5) (2021)
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. CoRR (2021)
Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak
A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning. IJCNN (2021)
Nikki Theeuwes, Geert-Jan van Houtum, Yingqian Zhang
Improving Ambulance Dispatching with Machine Learning and Simulation. ECML/PKDD (4) (2021)
Paulo da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
Learning 2-opt Local Search from Heuristics as Expert Demonstrations. IJCNN (2021)
Yingqian Zhang, Michele Lombardi, Patrick De Causmaecker
Preface. Ann. Math. Artif. Intell. 89 (7) (2021)
Jason Rhuggenaath, Reza Refaei Afshar, Alp Akcay, Yingqian Zhang, Uzay Kaymak, Fatih Çolak, Muratcan Tanyerli
Maximizing revenue for publishers using header bidding and ad exchange auctions. Oper. Res. Lett. 49 (2) (2021)
Qing Chuan Ye, Jason Rhuggenaath, Yingqian Zhang, Sicco Verwer, Michiel Jurgen Hilgeman
Data driven design for online industrial auctions. Ann. Math. Artif. Intell. 89 (7) (2021)
Bram Cals, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst
Solving the online batching problem using deep reinforcement learning. Comput. Ind. Eng. 156 (2021)
Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions. ECML/PKDD (2) (2020)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Algorithms for slate bandits with non-separable reward functions. CoRR (2020)
Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. ACML (2020)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. CoRR (2020)
Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. CoRR (2020)
Robbert Reijnen, Yingqian Zhang, Wim Nuijten, Çaglar Senaras, Mariana Goldak-Altgassen
Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts. SSCI (2020)
Jeroen Verheugd, Paulo Roberto de Oliveira da Costa, Reza Refaei Afshar, Yingqian Zhang, Sjoerd Boersma
Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model. SMC (2020)
Bram Cals, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst
Solving the Order Batching and Sequencing Problem using Deep Reinforcement Learning. CoRR (2020)
Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
Dynamic Pricing Using Thompson Sampling with Fuzzy Events. IPMU (1) (2020)
Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Remaining useful lifetime prediction via deep domain adaptation. Reliab. Eng. Syst. Saf. 195 (2020)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. ACML (2020)
Murat Firat, Guillaume Crognier, Adriana F. Gabor, Cor A. J. Hurkens, Yingqian Zhang
Column generation based heuristic for learning classification trees. Comput. Oper. Res. 116 (2020)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak, Ali Izzet Metin, Gönenç Seçil Tarakçioglu, Cosku Bas
Reserve price optimization with header bidding and Ad Exchange. SMC (2020)
Juntao Gao, Yingqian Zhang
Regular Expression Learning from Positive Examples Based on Integer Programming. Int. J. Softw. Eng. Knowl. Eng. 30 (10) (2020)
Herbert van Leeuwen, Yingqian Zhang, Kalliopi Zervanou, Shantanu Mullick, Uzay Kaymak, Tom de Ruijter
Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled. ICAART (2) (2020)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy. ICAART (2) (2019)
Rowan Hoogervorst, Yingqian Zhang, Gamze Tillem, Zekeriya Erkin, Sicco Verwer
Solving bin-packing problems under privacy preservation: Possibilities and trade-offs. Inf. Sci. 500 (2019)
Paulo R. de O. da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Remaining Useful Lifetime Prediction via Deep Domain Adaptation. CoRR (2019)
Nikki Theeuwes, Geert-Jan van Houtum, Yingqian Zhang, Björn Gadet
Formalization and Improvement of Ambulance Dispatching in Brabant-Zuidoost. BNAIC/BENELEARN (2019)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Optimizing reserve prices for publishers in online ad auctions. CIFEr (2019)
Arno van de Ven, Yingqian Zhang, Wan-Jui Lee, Rik Eshuis, Anna Wilbik
Determining Capacity of Shunting Yards by Combining Graph Classification with Local Search. ICAART (2) (2019)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
A Decision Support Method to Increase the Revenue of Ad Publishers in Waterfall Strategy. CIFEr (2019)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions. FUZZ-IEEE (2019)
Arno van de Ven, Yingqian Zhang, Wan-Jui Lee
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) (2019)
Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand. SMC (2019)
Dylan Rijnen, Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang
Machine Learning based Simulation Optimisation for Trailer Management. SMC (2019)
Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem. ECML/PKDD (3) (2019)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy. BNAIC/BENELEARN (2019)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding. ICAART (Revised Selected Papers) (2019)
Jasper Paalman, Shantanu Mullick, Kalliopi Zervanou, Yingqian Zhang
Term Based Semantic Clusters for Very Short Text Classification. BNAIC/BENELEARN (2019)
Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, W. Lee, Uzay Kaymak
Data-driven Policy on Feasibility Determination for the Train Shunting Problem. CoRR (2019)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
A PSO-based Algorithm for Reserve Price Optimization in Online Ad Auctions. CEC (2019)
Sicco Verwer, Yingqian Zhang
Learning Optimal Classification Trees Using a Binary Linear Program Formulation. BNAIC/BENELEARN (2019)
Sicco Verwer, Yingqian Zhang
Learning Optimal Classification Trees Using a Binary Linear Program Formulation. AAAI (2019)
Dylan Rijnen, Jason Rhuggenaath, Paulo R. de O. da Costa, Yingqian Zhang
Machine Learning based Simulation Optimisation for Trailer Management. CoRR (2019)
Jasper Paalman, Shantanu Mullick, Kalliopi Zervanou, Yingqian Zhang
Term Based Semantic Clusters for Very Short Text Classification. RANLP (2019)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Optimal display-ad allocation with guaranteed contracts and supply side platforms. Comput. Ind. Eng. 137 (2019)
Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem. BNAIC/BENELEARN (2019)
Murat Firat, Guillaume Crognier, Adriana F. Gabor, Yingqian Zhang, Cor A. J. Hurkens
Constructing classification trees using column generation. CoRR (2018)
Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak, Sicco Verwer
Learning fuzzy decision trees using integer programming. FUZZ-IEEE (2018)
Evertjan Peer, Vlado Menkovski, Yingqian Zhang, Wan-Jui Lee
Shunting Trains with Deep Reinforcement Learning. SMC (2018)
Sicco Verwer, Yingqian Zhang
Learning Decision Trees with Flexible Constraints and Objectives Using Integer Optimization. CPAIOR (2017)
Jun-Qiang Wang, Guo-qiang Fan, Yingqian Zhang, Cheng-Wu Zhang, Joseph Y.-T. Leung
Two-agent scheduling on a single parallel-batching machine with equal processing time and non-identical job sizes. Eur. J. Oper. Res. 258 (2) (2017)
Sicco Verwer, Yingqian Zhang, Qing Chuan Ye
Auction optimization using regression trees and linear models as integer programs. Artif. Intell. 244 (2017)
Qing Chuan Ye, Yingqian Zhang, Uzay Kaymak
Modeling participation behavior in repeated task allocations with fuzzy connectives. SMC (2017)
Junqiang Wang, Jian Chen, Yingqian Zhang, George Q. Huang
Schedule-based execution bottleneck identification in a job shop. Comput. Ind. Eng. 98 (2016)
Qing Chuan Ye, Yingqian Zhang, Rommert Dekker
Fair task allocation in transportation. CoRR (2015)
Sicco Verwer, Yingqian Zhang, Qing Chuan Ye
Learning optimization models in the presence of unknown relations. CoRR (2014)
Bart de Keijzer, Tomas B. Klos, Yingqian Zhang
Finding Optimal Solutions for Voting Game Design Problems. J. Artif. Intell. Res. 50 (2014)
Jelmer P. van der Gaast, Cornelius A. Rietveld, Adriana F. Gabor, Yingqian Zhang
A Tabu Search Algorithm for application placement in computer clustering. Comput. Oper. Res. 50 (2014)
Mathijs de Weerdt, Yingqian Zhang, Tomas Klos
Multiagent task allocation in social networks. Auton. Agents Multi Agent Syst. 25 (1) (2012)
Sicco Verwer, Yingqian Zhang
Revenue prediction in budget-constrained sequential auctions with complementarities. AAMAS (2012)
Yingqian Zhang, Sicco Verwer
Mechanism for Robust Procurements. PRIMA (2012)
Bart de Keijzer, Tomas B. Klos, Yingqian Zhang
Solving Weighted Voting Game Design Problems Optimally: Representations, Synthesis, and Enumeration CoRR (2012)
Chetan Yadati, Cees Witteveen, Yingqian Zhang
Coordinating Agents - An Analysis of Coordination in Supply-chain Management Tasks. ICAART (2) (2010)
Bart de Keijzer, Tomas Klos, Yingqian Zhang
Enumeration and exact design of weighted voting games. AAMAS (2010)
Adriaan ter Mors, Chetan Yadati, Cees Witteveen, Yingqian Zhang
Coordination by design and the price of autonomy. Auton. Agents Multi Agent Syst. 20 (3) (2010)
Yingqian Zhang, Mathijs de Weerdt
Creating Incentives to Prevent Intentional Execution Failures. IAT (2009)
Yingqian Zhang, Efrat Manisterski, Sarit Kraus, V. S. Subrahmanian, David Peleg
Computing the fault tolerance of multi-agent deployment. Artif. Intell. 173 (3-4) (2009)
Bart de Keijzer, Sylvain Bouveret, Tomas Klos, Yingqian Zhang
On the Complexity of Efficiency and Envy-Freeness in Fair Division of Indivisible Goods with Additive Preferences. ADT (2009)
Chetan Yadati, Cees Witteveen, Yingqian Zhang, Mengxiao Wu, Han La Poutré
Autonomous Scheduling. FCS (2008)
Roman van der Krogt, Mathijs de Weerdt, Yingqian Zhang
Of Mechanism Design Multiagent Planning. ECAI (2008)
Mathijs de Weerdt, Yingqian Zhang
Preventing Under-Reporting in Social Task Allocation. AMEC/TADA (2008)
Chetan Yadati, Cees Witteveen, Yingqian Zhang, Mengxiao Wu, Han La Poutré
Autonomous Scheduling with Unbounded and Bounded Agents. MATES (2008)
Yingqian Zhang, Mathijs de Weerdt
Creating incentives to prevent execution failures: an extension of VCG mechanism. Planning in Multiagent Systems (2008)
Mathijs de Weerdt, Yingqian Zhang, Tomas Klos
Distributed task allocation in social networks. AAMAS (2007)
J. Renze Steenhuisen, Cees Witteveen, Yingqian Zhang
Plan-Coordination Mechanisms and the Price of Autonomy. CLIMA (2007)
Yingqian Zhang
Towards fault tolerance for multiagent systems. AAMAS (2005)
V. S. Subrahmanian, Sarit Kraus, Yingqian Zhang
Distributed Algorithms for Dynamic Survivability of Multiagent Systems. CLIMA (2004)
Jürgen Dix, Thomas Eiter, Michael Fink, Axel Polleres, Yingqian Zhang
Monitoring Agents using Declarative Planning. Fundam. Informaticae 57 (2-4) (2003)
Jürgen Dix, Thomas Eiter, Michael Fink, Axel Polleres, Yingqian Zhang
Monitoring Agents Using Declarative Planning. KI (2003)