🗓️ Recent News
- [2025-06-11] Delivered a talk at ICC 2025 on deploying large model at the edge based on the novel concept of generation splitting. [Conference & journal paper to be appear soon] [Slides] [Demo Code]
- [2025-04-30] Preprint Pinching-Antenna Systems (PASS): Power Radiation Model and Optimal Beamforming Design is submitted. [arxiv] [Code]
- A novel pinch-wise power control model for pinching antenna
- Globally optimal pinching beamforming and digital beamforming algorithm for discrete PASS activation
- A low-complexity pinching beamforming and digital beamforming algorithm based on matching theory, which demonstrates real near-optimal performance through our experiments
- [2025-03-26] Paper Accelerating Mobile Edge Generation (MEG) by Constrained Learning is accepted by IEEE Transactions on Cognitive Communications and Networking! 🎉 [Paper] [arXiv] [Dataset] [HuggingfacePipeline] [Code]
- A novel joint compression framework to accelerate large model execution for AIGC generation at mobile devices, which optimizes compression ratios of both diffusion steps and transmitted features to achieve tradeoffs between generation quality and latency.
- Verified mathematical models of both latency and energy consumption using the proposed collaborative generation framework.
- An offline distillation mechanism that trains a backbone distributed stable diffusion XL model to support various compression ratios.
- A constrained deep reinforcement learning algorithm that optimizes compression ratios in online channel environment, which maximizes the generation quality and stringently guarantees end-to-end latency and energy consumption constraints.
- [2025-02-12] Preprint Joint Transmit and Pinching Beamforming for Pinching Antenna Systems (PASS): Optimization-Based or Learning-Based? is submitted. [arxiv].
- Sum rate maximization for (continuous) pinching antenna system (PASS) by jointly optimizing pinching beamforming (achieved by configuring pinching antenna positions) and transmit beamforming
- A mathematical optimization based joint pinching beamforming and transmit beamforming design via MM-PDD - A machine learning based pinching beamforming and transmit beamforming design via KKT-guided Transformer.
- [2025-02-03] Co-authored preprint Diffusion Model for Multiple Antenna Communications is submitted. [arXiv]
- [2025-01-30] Co-authored preprint Pinching antenna systems (PASS): Architecture designs, opportunities, and outlook is submitted. [arXiv]
- [2024-12] Paper Generative Artificial Intelligence for Mobile Communications: A Diffusion Model Perspective is accepted by IEEE Communications Magazine! 🎉 [Paper] [arXiv] [Code]
- [2024-09] Paper Mobile Edge Generation-Enabled Digital Twin: Architecture Design and Research Opportunities is accepted by IEEE Communications Magazine! 🎉 [Paper] [arXiv]] [Code]