Yingqian Zhang

Affiliations:
  • Eindhoven University of Technology, The Netherlands
  • Erasmus University Rotterdam, The Netherlands
  • Delft University of Technology, The Netherlands
  • University of Manchester, School of Computer Science, UK (PhD)


According to our database1, Yingqian Zhang authored at least 97 papers between 2003 and 2023.

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Bibliography

2023
SCRE: special cargo relation extraction using representation learning.
Neural Comput. Appl., September, 2023

An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing.
IEEE Trans. Artif. Intell., June, 2023

The first AI4TSP competition: Learning to solve stochastic routing problems.
Artif. Intell., June, 2023

Policies for the dynamic traveling maintainer problem with alerts.
Eur. J. Oper. Res., 2023

Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI.
CoRR, 2023

Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods.
CoRR, 2023

Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model.
CoRR, 2023

Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks.
CoRR, 2023

Digital Twin Applications in Urban Logistics: An Overview.
CoRR, 2023

Auction-based network slicing for 5G RAN.
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022
Dynamic Ad Network Ordering Method Using Reinforcement Learning.
Int. J. Comput. Intell. Syst., 2022

Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems.
CoRR, 2022

Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning.
CoRR, 2022

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.
CoRR, 2022

Automated Reinforcement Learning: An Overview.
CoRR, 2022

Optimizing the inventory and fulfillment of an omnichannel retailer: a stochastic approach with scenario clustering.
Comput. Ind. Eng., 2022

Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks.
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.
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.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Knowledge Modeling and Incident Analysis for Special Cargo.
Proceedings of the Technologies and Applications for Big Data Value, 2022

2021
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning.
SN Comput. Sci., 2021

Maximizing revenue for publishers using header bidding and ad exchange auctions.
Oper. Res. Lett., 2021

Solving the online batching problem using deep reinforcement learning.
Comput. Ind. Eng., 2021

Preface.
Ann. Math. Artif. Intell., 2021

Data driven design for online industrial auctions.
Ann. Math. Artif. Intell., 2021

Relation Representation Learning for Special Cargo Ontology.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Improving Ambulance Dispatching with Machine Learning and Simulation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

The EURO Meets NeurIPS 2022 Vehicle Routing Competition.
Proceedings of the NeurIPS 2022 Competition Track, 2021

Learning 2-opt Local Search from Heuristics as Expert Demonstrations.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Remaining useful lifetime prediction via deep domain adaptation.
Reliab. Eng. Syst. Saf., 2020

Regular Expression Learning from Positive Examples Based on Integer Programming.
Int. J. Softw. Eng. Knowl. Eng., 2020

Solving the Order Batching and Sequencing Problem using Deep Reinforcement Learning.
CoRR, 2020

Algorithms for slate bandits with non-separable reward functions.
CoRR, 2020

Column generation based heuristic for learning classification trees.
Comput. Oper. Res., 2020

Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Reserve price optimization with header bidding and Ad Exchange.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Dynamic Pricing Using Thompson Sampling with Fuzzy Events.
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.
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.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Solving bin-packing problems under privacy preservation: Possibilities and trade-offs.
Inf. Sci., 2019

Optimal display-ad allocation with guaranteed contracts and supply side platforms.
Comput. Ind. Eng., 2019

Machine Learning based Simulation Optimisation for Trailer Management.
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.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Term Based Semantic Clusters for Very Short Text Classification.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Data-Driven Policy on Feasibility Determination for the Train Shunting Problem.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Determining Capacity of Shunting Yards by Combining Graph Classification with Local Search.
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.
Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019

Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding.
Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019

Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Optimizing reserve prices for publishers in online ad auctions.
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.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Formalization and Improvement of Ambulance Dispatching in Brabant-Zuidoost.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Constructing classification trees using column generation.
CoRR, 2018

Shunting Trains with Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Learning fuzzy decision trees using integer programming.
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.
Eur. J. Oper. Res., 2017

Auction optimization using regression trees and linear models as integer programs.
Artif. Intell., 2017

Modeling participation behavior in repeated task allocations with fuzzy connectives.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Learning Decision Trees with Flexible Constraints and Objectives Using Integer Optimization.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017

2016
Schedule-based execution bottleneck identification in a job shop.
Comput. Ind. Eng., 2016

Participation Behavior and Social Welfare in Repeated Task Allocations.
Proceedings of the IEEE International Conference on Agents, 2016

2015
Fair task allocation in transportation.
CoRR, 2015

2014
Finding Optimal Solutions for Voting Game Design Problems.
J. Artif. Intell. Res., 2014

Learning optimization models in the presence of unknown relations.
CoRR, 2014

A Tabu Search Algorithm for application placement in computer clustering.
Comput. Oper. Res., 2014

2012
Solving Weighted Voting Game Design Problems Optimally: Representations, Synthesis, and Enumeration
CoRR, 2012

Multiagent task allocation in social networks.
Auton. Agents Multi Agent Syst., 2012

Mechanism for Robust Procurements.
Proceedings of the PRIMA 2012: Principles and Practice of Multi-Agent Systems, 2012

Revenue prediction in budget-constrained sequential auctions with complementarities.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2010
Coordination by design and the price of autonomy.
Auton. Agents Multi Agent Syst., 2010

Coordinating Agents - An Analysis of Coordination in Supply-chain Management Tasks.
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.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
Computing the fault tolerance of multi-agent deployment.
Artif. Intell., 2009

Creating Incentives to Prevent Intentional Execution Failures.
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.
Proceedings of the Algorithmic Decision Theory, First International Conference, 2009

2008
Autonomous Scheduling with Unbounded and Bounded Agents.
Proceedings of the Multiagent System Technologies, 6th German Conference, 2008

Autonomous Scheduling.
Proceedings of the 2008 International Conference on Foundations of Computer Science, 2008

Of Mechanism Design Multiagent Planning.
Proceedings of the ECAI 2008, 2008

Creating incentives to prevent execution failures: an extension of VCG mechanism.
Proceedings of the Planning in Multiagent Systems, 09.11. - 14.11.2008, 2008

Preventing Under-Reporting in Social Task Allocation.
Proceedings of the Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, 2008

2007
Plan-Coordination Mechanisms and the Price of Autonomy.
Proceedings of the Computational Logic in Multi-Agent Systems, 8th International Workshop, 2007

Distributed task allocation in social networks.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

2005
Towards fault tolerance for multiagent systems.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

IMPACT: A Multi-Agent Framework with Declarative Semantics.
Proceedings of the Multi-Agent Programming: Languages, Platforms and Applications, 2005

2004
Distributed Algorithms for Dynamic Survivability of Multiagent Systems.
Proceedings of the Computational Logic in Multi-Agent Systems, 4th International Workshop, 2004

2003
Monitoring Agents using Declarative Planning.
Fundam. Informaticae, 2003


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