Scholar
Zepeng Zhang
Google Scholar ID: hyBOSa0AAAAJ
EPFL
Citations & Impact
Citations
113
H-index
6
i10-index
5
Publications
18
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper “RINS-T: Robust Implicit Neural Solvers for Time Series Linear Inverse Problems” accepted by IEEE Transactions on Instrumentation & Measurement.
- Paper “GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data” accepted by NeurIPS 2025.
- Paper “Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks” accepted by Reliability Engineering & System Safety.
- Paper “Weighted Sum-Rate Maximization using MM: Convergence Rate and Deep Adaptation” accepted by EUSIPCO 2025.
- Published paper “Domain Adaptive Unfolded Graph Neural Networks” in Proceedings of the AAAI Conference on Artificial Intelligence, authors: Zepeng Zhang and Olga Fink.
- Published paper “Graph Neural Networks With Adaptive Structures” in IEEE Journal of Selected Topics in Signal Processing, authors: Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao.
- arXiv preprint “Discerning and enhancing the weighted sum-rate maximization algorithms in communications”, authors: Zepeng Zhang, Ziping Zhao, Kaiming Shen, Daniel P Palomar, Wei Yu.
Research Experience
- Worked in the Intelligent Maintenance and Operations Systems (IMOS) Lab at EPFL and as a visiting PhD student with Prof. Jhony H. Giraldo at Télécom Paris, Institut Polytechnique de Paris.
Education
- PhD: École Polytechnique Fédérale de Lausanne (EPFL), supervised by Prof. Olga Fink; Master's Degree: ShanghaiTech University; B.Eng. Degree: Wuhan University (WHU). Visiting research intern at Peking University (PKU) and City University of Hong Kong (CityU).
Background
- Research Interests: Generative Model and Graph Machine Learning. Professional Field: Intelligent Maintenance and Operations Systems.
Co-authors