Scholar
Wenjie XU
Google Scholar ID: MU4MZPcAAAAJ
École polytechnique fédérale de Lausanne
Citations & Impact
Citations
230
H-index
9
i10-index
9
Publications
20
Co-authors
12
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Publications:
- - "Minimizing Emission for Timely Heavy-Duty Truck Transportation" accepted to the IEEE Transactions on Intelligent Transportation Systems
- - "Principled Bayesian Optimization in Collaboration with Human Experts" accepted to the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024) as a spotlight
- - "Principled Preferential Bayesian Optimization" accepted to the Forty-first International Conference on Machine Learning (ICML 2024) for oral presentation
- - Reviewer: IEEE Transactions on Automatic Control, IEEE/ACM Transactions on Networking, IEEE Transactions on Neural Networks and Learning Systems, Optimal Control Applications and Methods, NeurIPS, ICML, ICLR, IEEE Conference on Decision and Control, American Control Conference
Research Experience
- - PhD Student: École polytechnique fédérale de Lausanne (EPFL), involved in NCCR automation project, working with Prof. Colin Jones
- - Building Control Research: Working with Dr. Bratislav Svetozarevic from Empa
Education
- - PhD: Electrical Engineering, École polytechnique fédérale de Lausanne (EPFL), Advisor: Prof. Colin Jones
- - MPhil: Information Engineering, The Chinese University of Hong Kong, Advisor: Prof. Minghua Chen
- - BEng & BSc (Dual Degree): Electronic Engineering and Math, Tsinghua University, Graduated in 2018
Background
- - Research Interests: Integration of optimization, control, and learning with applications to cyber-physical-human systems (CPHS), e.g., buildings
- - Professional Field: Electrical Engineering
- - Biography: Currently a PhD student in Electrical Engineering at EPFL, part of NCCR automation, working with Prof. Colin Jones. Also working with Dr. Bratislav Svetozarevic from Empa on building control.
Miscellany
- - PhD Positions: Group is interested in hearing from positive PhD candidates who would like to join the team to work on projects related to control, optimization, machine learning, and computation.
- - Collaborations and Consultancy: Open to academic collaborations; provides consultancy and tutorials on data science and optimization for energy systems (building systems in particular) and logistics systems
