Tree-Based Contextual Learning for Online Job or Candidate Recommendation With Big Data Support in Professional Social Networks. - Wenbo Chen 001; Pan Zhou 001; Shaokang Dong; Shimin Gong; Menglan Hu; Kehao Wang 001; Dapeng Oliver Wu (IEEE Access, 2018)

Privacy-Preserving Online Task Allocation in Edge-Computing-Enabled Massive Crowdsensing. - Pan Zhou 001; Wenbo Chen 001; Shouling Ji; Hao Jiang 010; Li Yu 003; Dapeng Oliver Wu (IEEE Internet Things J., 2019)

A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid. - Wenbo Chen 001; Anni Zhou; Pan Zhou 001; Liang Gao 001; Shouling Ji; Dapeng Wu 001 (IEEE Syst. J., 2019)

Corrections to "A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid". - Wenbo Chen 001; Anni Zhou; Pan Zhou 001; Liang Gao 001; Shouling Ji; Dapeng Wu 001 (IEEE Syst. J., 2019)

Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. - Wenbo Chen 001; Seonho Park; Mathieu Tanneau; Pascal Van Hentenryck (CoRR, 2021)

Risk-Aware Control and Optimization for High-Renewable Power Grids. - Neil Barry; Minas Chatzos; Wenbo Chen 001; Dahye Han; Chaofan Huang; Roshan Joseph; Michael Klamkin; Seonho Park; Mathieu Tanneau; Pascal Van Hentenryck; Shangkun Wang; Hanyu Zhang; et al. (CoRR, 2022)

Just-In-Time Learning for Operational Risk Assessment in Power Grids. - Oliver Stover; Pranav Karve; Sankaran Mahadevan; Wenbo Chen 001; Haoruo Zhao; Mathieu Tanneau; Pascal Van Hentenryck (CoRR, 2022)

Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. - Seonho Park; Wenbo Chen 001; Dahye Han; Mathieu Tanneau; Pascal Van Hentenryck (CoRR, 2022)

Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation. - Enpeng Yuan; Wenbo Chen 001; Pascal Van Hentenryck (J. Artif. Intell. Res., 2022)

Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract). - Enpeng Yuan; Wenbo Chen 001; Pascal Van Hentenryck (IJCAI, 2023)

Compact Optimization Learning for AC Optimal Power Flow. - Seonho Park; Wenbo Chen 001; Terrence W. K. Mak; Pascal Van Hentenryck (CoRR, 2023)

Two-Stage Learning For the Flexible Job Shop Scheduling Problem. - Wenbo Chen 001; Reem Khir; Pascal Van Hentenryck (CoRR, 2023)

End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch. - Wenbo Chen 001; Mathieu Tanneau; Pascal Van Hentenryck (CoRR, 2023)

Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks. - Ritesh Ojha; Wenbo Chen 001; Hanyu Zhang; Reem Khir; Alan L. Erera; Pascal Van Hentenryck (CoRR, 2023)

Compact Optimality Verification for Optimization Proxies. - Wenbo Chen 001; Haoruo Zhao; Mathieu Tanneau; Pascal Van Hentenryck (ICML, 2024)

Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling. - Jiawei Lu; Tinghan Ye; Wenbo Chen 001; Pascal Van Hentenryck (CoRR, 2024)

Synergizing Machine Learning and Optimization: Scalable Real-Time Risk Assessment in Power Systems. - Wenbo Chen 001 (2024)