Multiple papers accepted at top venues including NeurIPS workshops (2025), IEEE CAMSAP (2025, oral), IEEE Transactions on Signal Processing (2024), ICASSP (2025, 2023), and ICLR (2022).
Sep. 2025: Three papers accepted to NeurIPS workshops; two preprints released: 'Unrolled graph neural networks for constrained optimization' and 'Graph signal generative diffusion models'.
Apr. 2025: Paper 'Generative diffusion models for resource allocation in wireless networks' published and presented orally at CAMSAP 2025.
Aug. 2024: Paper 'Robust stochastically-descending unrolled networks' accepted to IEEE Transactions on Signal Processing.
May 2023: Preprint 'Stochastic unrolled federated learning' released.
Feb. 2023: Paper 'Space-time graph neural networks with stochastic graph perturbations' accepted to ICASSP 2023.
Apr. 2022: Paper 'Space-time graph neural networks' accepted to ICLR 2022.
Presented talks/posters at ICASSP, BIRS workshop, TILOS (UCSD), and Fall Fourier Talks (University of Maryland).