Wenjie Xu - Publications

Preprints

1. “ Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints” [arXiv]
   Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones.

2. “ Bayesian Optimization of Expensive Nested Grey-Box Functions ” [arXiv]
   Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones.

Journal Articles

1. “Minimizing Emission for Timely Heavy-Duty Truck Transportation”
   Junyan Su, Runzhi Zhou, Qingyu Liu, Wenjie Xu, Minghua Chen, and Haibo Zeng, accepted to IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2024.

2. “Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints” [arXiv]
   Wenjie Xu, Colin N Jones, Bratislav Svetozarevic, Christopher R. Laughman, and Ankush Chakrabarty, accepted to Journal of Process Control (JPC), 2024.

3. “Lower Bounds on the Noiseless Worst-Case Complexity of Efficient Global Optimization” [PDF]
   Wenjie Xu, Yuning Jiang, Emilio T. Maddalena, Colin N. Jones, accepted to Journal of Optimization Theory and Applications (JOTA), 2024.

4. “ Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach” [arXiv]
   Wenjie Xu, Bratislav Svetozarevic, Loris Di Natale, Philipp Heer, Colin N Jones, accepted to Applied Energy (APEN), 2023.

5. “Ride the Tide of Traffic Conditions: Opportunistic Driving Improves Energy Efficiency of Timely Truck Transportation” [PDF]
   Wenjie Xu, Qingyu Liu, Minghua Chen, Haibo Zeng, accepted to IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.

6. “Optimizing Two-Truck Platooning with Deadlines ” [PDF] [Technical Report]
   Wenjie Xu*, Titing Cui*, Minghua Chen, (*: co-primary authors) accepted to IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022.

7. “Recurrent Neural Networks Are Universal Approximators With Stochastic Inputs” [PDF]
   Xiuqiong Chen, Yangtianze Tao, Wenjie Xu, Stephen S.-T. Yau, accepted to IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2022.

Main Papers in Machine Learning/Computer Science Conferences

1. “Principled Bayesian Optimization in Collaboration with Human Experts”
   Wenjie Xu*, Masaki Adachi*, Colin N. Jones and Michael A. Osborne, accepted to the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024, Spotlight). [arXiv]

2. “Principled Preferential Bayesian Optimization” [arXiv]
   Wenjie Xu, Wenbin Wang, Yuning Jiang, Bratislav Svetozarevic, and Colin N. Jones, accepted to the Forty-first International Conference on Machine Learning (ICML 2024, Oral, top 1.5%).

3. “Constrained Efficient Global Optimization of Expensive Black-box Functions” [PDF]
   Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, and Colin N. Jones, accepted to the Fortieth International Conference on Machine Learning (ICML 2023).

4. “ Minimizing Emission for Timely Truck Transportation with Adaptive Fuel Injection ” [PDF]
   Runzhi Zhou, Qingyu Liu, Wenjie Xu, Minghua Chen, and Haibo Zeng, in the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2020).

5. “ Ride the Tide of Traffic Conditions: Opportunistic Driving Improves Energy Efficiency of Timely Truck Transportation ” [PDF]
   Wenjie Xu, Qingyu Liu, Minghua Chen and Haibo Zeng, in the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019).

6. “A Probabilistic Approach for Demand-Aware Ride-Sharing Optimization ” [Paper] [Technical Report]
   Qiulin Lin, Wenjie Xu, Minghua Chen and Xiaojun Lin, in the 20th International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2019).

Conference Papers

1. “Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints” [arXiv]
   Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, and Colin N. Jones, accepted to the 62nd IEEE Conference on Decision and Control (CDC 2023).

2. “CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints” [PDF]
   Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, and Colin N. Jones, accepted to IFAC World Congress 2023.

3. “ VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints” [PDF] [Video] [arXiv][Code]
   Wenjie Xu, Colin N Jones, Bratislav Svetozarevic, Christopher R. Laughman, and Ankush Chakrabarty, accepted to the 2022 American Control Conference (ACC 2022).

   (ASME Energy Systems Technical Committee Best Paper Award)

4. “Demo Abstract: Online Path and Speed Planning Platform for Energy-Efficient Timely Truck Transportation” [PDF]
   Yaowei Long*, Zidong Wu*, Hongyi Liu*, Titing Cui, Wenjie Xu, Minghua Chen, (* indicates equal contribution) in the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019).

5. “On the classification and false alarm of RPKI based BGP route origin validation” [PDF]
   Wenjie Xu, Deliang Chang and Xing Li, in the 16th IFIP/IEEE International Symposium on Integrated Network Management (IM 2019). (short paper)

6. “Opportunistic Driving: a Critical Design Space for Reducing Fuel Consumption of Timely Long-Haul Truck Transportation” [PDF]
   Wenjie Xu, Qingyu Liu, Minghua Chen and Haibo Zeng, in the 10th ACM International Conference on Future Energy Systems (e-Energy 2019). (poster paper)