Wenbo Chen

According to our database, Wenbo Chen authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

Synergizing Machine Learning and Optimization: Scalable Real-Time Risk Assessment in Power Systems.

Wenbo Chen

PhD thesis, 2024

Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling.

Jiawei Lu, Tinghan Ye, Wenbo Chen, Pascal Van Hentenryck

CoRR, 2024

Compact Optimality Verification for Optimization Proxies.

Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks.

Ritesh Ojha, Wenbo Chen, Hanyu Zhang, Reem Khir, Alan L. Erera, Pascal Van Hentenryck

CoRR, 2023

End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch.

Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2023

Two-Stage Learning For the Flexible Job Shop Scheduling Problem.

Wenbo Chen, Reem Khir, Pascal Van Hentenryck

CoRR, 2023

Compact Optimization Learning for AC Optimal Power Flow.

Seonho Park, Wenbo Chen, Terrence W. K. Mak, Pascal Van Hentenryck

CoRR, 2023

Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract).

Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation.

Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck

J. Artif. Intell. Res., 2022

Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments.

Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2022

Just-In-Time Learning for Operational Risk Assessment in Power Grids.

Oliver Stover, Pranav Karve, Sankaran Mahadevan, Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2022

Risk-Aware Control and Optimization for High-Renewable Power Grids.

Neil Barry, Minas Chatzos, Wenbo Chen, Dahye Han, Chaofan Huang, Roshan Joseph, Michael Klamkin, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck, Shangkun Wang, Hanyu Zhang, Haoruo Zhao

CoRR, 2022

2021

Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch.

Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2021

2019

Corrections to "A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid".

Wenbo Chen, Anni Zhou, Pan Zhou, Liang Gao, Shouling Ji, Dapeng Wu

IEEE Syst. J., 2019

A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid.

Wenbo Chen, Anni Zhou, Pan Zhou, Liang Gao, Shouling Ji, Dapeng Wu

IEEE Syst. J., 2019

Privacy-Preserving Online Task Allocation in Edge-Computing-Enabled Massive Crowdsensing.

Pan Zhou, Wenbo Chen, Shouling Ji, Hao Jiang, Li Yu, Dapeng Oliver Wu

IEEE Internet Things J., 2019

2018

Tree-Based Contextual Learning for Online Job or Candidate Recommendation With Big Data Support in Professional Social Networks.

Wenbo Chen, Pan Zhou, Shaokang Dong, Shimin Gong, Menglan Hu, Kehao Wang, Dapeng Oliver Wu

IEEE Access, 2018