Zepeng Zhang
I am a PhD student at École Polytechnique Fédérale de Lausanne (EPFL) 🇨🇭 working under the supervision of Prof. Olga Fink. During my PhD, I have also worked with Prof. Jhony H. Giraldo and Aref Einizade at Télécom Paris, Institut Polytechnique de Paris 🇫🇷 as a visiting PhD student.
My research focuses on generative modeling, graph machine learning, and graph signal processing. I develop methods that incorporate relational structure and optimization principles to improve inference, generalization, robustness, and computational efficiency. Currently, I am particularly interested in understanding the behavior and developing more efficient/effective flow matching methods for spatiotemporal systems.
Previously, I received my master’s degree at ShanghaiTech University 🇨🇳 and B.Eng. degree from Wuhan University (WHU) 🇨🇳. I also had the opportunity to visit Peking University (PKU) 🇨🇳 and City University of Hong Kong (CityU) 🇭🇰 as a research intern.
I am always open to potential collaborations. Please feel free to drop me an email if you’re interested.
News
| May 26, 2026 | Our paper “MM-Net: Recurrent Unfolding with Adaptive Majorization for Weighted Sum-Rate Beamforming” has been accepted by IEEE Signal Processing Letters. |
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| May 04, 2026 | Our paper “Spatiotemporal Imputation with Graph-Informed Flow Matching” has been accepted by ICML 2026. |
| Oct 19, 2025 | Our paper “RINS-T: Robust Implicit Neural Solvers for Time Series Linear Inverse Problems” has been accepted by IEEE Transactions on Instrumentation & Measurement. |
| Sep 18, 2025 | Our paper “GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data” has been accepted by NeurIPS 2025. |
| Jul 24, 2025 | Our paper “Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks” has been accepted by Reliability Engineering & System Safety. |
| May 20, 2025 | Our paper “Weighted Sum-Rate Maximization using MM: Convergence Rate and Deep Adaptation” has been accepted by EUSIPCO 2025. |
| Apr 13, 2025 | I have joined Prof. Jhony H. Giraldo’s group at Télécom Paris, Institut Polytechnique de Paris as a visiting student. |
| Dec 09, 2024 | Our work on “Domain Adaptive Unfolded Graph Neural Networks” has been accepted by AAAI 2025. |
| Sep 12, 2024 | Our work on “Graph Neural Networks with Adaptive Structures” has been accepted by IEEE Journal of Selected Topics in Signal Processing. |
Selected Publications
- ICMLSpatiotemporal Imputation with Graph-Informed Flow MatchingIn International Conference on Machine Learning, 2026
- arXivGraph-Spectral Flow Matching for Multivariate Time Series Anomaly DetectionarXiv preprint arXiv:2609.36765, 2026
- AAAIDomain Adaptive Unfolded Graph Neural NetworksIn Proceedings of the AAAI Conference on Artificial Intelligence, 2025
- JSTSPGraph Neural Networks With Adaptive StructuresIEEE Journal of Selected Topics in Signal Processing, 2024