Wenbo Chen - RankMe

19 papers A* 2Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Outbound Load Planning in Parcel Delivery Service Networks Using Machine Learning and Optimization. Transp. Sci. Ritesh Ojha, Wenbo Chen, Hanyu Zhang, Reem Khir, Alan L. Erera, Pascal Van Hentenryck
2024	J	`jnl`	Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling. CoRR Jiawei Lu, Tinghan Ye, Wenbo Chen, Pascal Van Hentenryck
2024	A*	`conf`	Compact Optimality Verification for Optimization Proxies. ICML Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck
2024	J	`jnl`	Compact Optimality Verification for Optimization Proxies. CoRR Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck
2024	—	`—`	Synergizing Machine Learning and Optimization: Scalable Real-Time Risk Assessment in Power Systems. Wenbo Chen
2023	J	`jnl`	Compact Optimization Learning for AC Optimal Power Flow. CoRR Seonho Park, Wenbo Chen, Terrence W. K. Mak, Pascal Van Hentenryck
2023	J	`jnl`	End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch. CoRR Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck
2023	J	`jnl`	Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks. CoRR Ritesh Ojha, Wenbo Chen, Hanyu Zhang, Reem Khir, Alan L. Erera, Pascal Van Hentenryck
2023	A*	`conf`	Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract). IJCAI Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck
2023	J	`jnl`	Two-Stage Learning For the Flexible Job Shop Scheduling Problem. CoRR Wenbo Chen, Reem Khir, Pascal Van Hentenryck
2022	J	`jnl`	Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. CoRR Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck
2022	J	`jnl`	Just-In-Time Learning for Operational Risk Assessment in Power Grids. CoRR Oliver Stover, Pranav Karve, Sankaran Mahadevan, Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck
2022	J	`jnl`	Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation. J. Artif. Intell. Res. Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck
2022	J	`jnl`	Risk-Aware Control and Optimization for High-Renewable Power Grids. CoRR 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
2021	J	`jnl`	Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. CoRR Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck
2019	J	`jnl`	A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid. IEEE Syst. J. Wenbo Chen, Anni Zhou, Pan Zhou, Liang Gao, Shouling Ji, Dapeng Wu
2019	J	`jnl`	Corrections to "A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid". IEEE Syst. J. Wenbo Chen, Anni Zhou, Pan Zhou, Liang Gao, Shouling Ji, Dapeng Wu
2019	J	`jnl`	Privacy-Preserving Online Task Allocation in Edge-Computing-Enabled Massive Crowdsensing. IEEE Internet Things J. Pan Zhou, Wenbo Chen, Shouling Ji, Hao Jiang, Li Yu, Dapeng Oliver Wu
2018	J	`jnl`	Tree-Based Contextual Learning for Online Job or Candidate Recommendation With Big Data Support in Professional Social Networks. IEEE Access Wenbo Chen, Pan Zhou, Shaokang Dong, Shimin Gong, Menglan Hu, Kehao Wang, Dapeng Oliver Wu